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Over 60 recipes to install, configure, and manage your IIS 10.0 About This Book * Provide a secure, easy-to-manage extensible platform for hosting your websites * Leverage IIS 10.0 in order to deploy web site in seconds * Integrate Windows and Nano Server 2016 and automate it with PowerShell * Recipes to Manage and monitor your IIS 10.0 Who This Book Is For If you are an administrator or web developer with a basic (or no) knowledge of Microsoft IIS and want to set up your own web server, then this is the book for you. What You Will Learn * Integrate IIS 10.0 on Windows server 2016 * Host multiple websites and Wildcard Host on IIS 10.0 * Deploy and administrate IIS 10.0 on Nano Server. * IIS administration with Powershell. * Manage and troubleshoot IIS 10.0 In Detail This book will start with customizing your IIS 10 to various platforms/OS and tune it according to your business requirements. Moving on, we will focus on the functionalities of core fundamentals and perform practical scenarios in order to maximize the use of a reliable web server. Going further we will be covering topics like IIS 10 architecture, IIS modules, hosting web server platforms, virtual directories along with web site deployment, ports, enhanced security. We will also cover new features of IIS 10 like integration with Windows Server 2016 and Nano Server, HTTP/2, PowerShell 5 cmdlets etc . Towards the end, we will cover troubleshooting & diagnostic techniques of IIS 10. By the end of this book you will be well versed with maximizing the reliability of your webserver and will have immense knowledge in using IIS 10 effectively Style and approach A set of exciting recipes on using Microsoft IIS 10.0 effectively..
(source: Nielsen Book Data)

• Table of Contents Crash Course in Bash Acting Like a Typewriter and File Explorer Understanding and Gaining File System Mastery Making a Script Behave Like a Daemon Scripts for System Administration Tasks Scripts for Power Users Writing Bash to Win and Profit Advanced Scripting Techniques.
• (source: Nielsen Book Data)

Create simple to advanced shell scripts and enhance your system functionality with effective recipes Key Features Automate tedious and repetitive tasks Create several novel applications ranging from a simple IRC logger to a Web Scraper Manage your system efficiently by becoming a seasoned Bash user Book DescriptionIn Linux, one of the most commonly used and most powerful tools is the Bash shell. With its collection of engaging recipes, Bash Cookbook takes you through a series of exercises designed to teach you how to effectively use the Bash shell in order to create and execute your own scripts. The book starts by introducing you to the basics of using the Bash shell, also teaching you the fundamentals of generating any input from a command. With the help of a number of exercises, you will get to grips with the automation of daily tasks for sysadmins and power users. Once you have a hands-on understanding of the subject, you will move on to exploring more advanced projects that can solve real-world problems comprehensively on a Linux system. In addition to this, you will discover projects such as creating an application with a menu, beginning scripts on startup, parsing and displaying human-readable information, and executing remote commands with authentication using self-generated Secure Shell (SSH) keys. By the end of this book, you will have gained significant experience of solving real-world problems, from automating routine tasks to managing your systems and creating your own scripts. What you will learn Understand the basics of Bash shell scripting on a Linux system Gain working knowledge of how redirections and pipes interact Retrieve and parse input or output of any command Automate tasks such as data collection and creating and applying a patch Create a script that acts like a program with different features Customize your Bash shell and discover neat tricks to extend your programs Compile and install shell and log commands on your system's console using Syslog Who this book is forThe Bash Cookbook is for you if you are a power user or system administrator involved in writing Bash scripts in order to automate tasks. This book is also ideal if you are interested in learning how to automate complex daily tasks.
(source: Nielsen Book Data)

• INTRODUCTION ix
• CHAPTER 1. CONTENT DISTRIBUTION ON THE INTERNET 1 1.1. End-to-end concept and limitations 2 1.2. Multicast communication 4 1.3. Peer-to-peer systems 5 1.4. Content distribution networks 6 1.5. Publish/subscribe systems 9
• CHAPTER 2. INFORMATION-CENTRIC NETWORKS 13 2.1. Content naming 13 2.1.1. Flat naming 14 2.1.2. Hierarchical naming 16 2.1.3. Attribute-based names 17 2.2. Content or name-based routing 18 2.2.1. Non-hierarchical routing 19 2.2.2. Hierarchical routing 20 2.3. Content caching 22
• CHAPTER 3. MAIN ICN ARCHITECTURES 23 3.1. Content-based networking/combined broadcast and content-based 23 3.2. Data-oriented network architecture 26 3.3. Content-centric networking/named-data networking 29 3.4. Publish-subscribe Internet routing paradigm/publish-subscribe Internet technologies 33 3.5. Content-centric inter-network architecture 37 3.6. Other architectures 40 3.7. General comparison 41
• CHAPTER 4. CHALLENGES 43 4.1. Naming 43 4.2. Routing 52 4.3. Caching 58 4.3.1. Analytical models for networks of caches 60 4.3.2. Content replacement policies 62 4.3.3. Content storage policies 65 4.4. Security 69 4.5. Mobility support in ICN 73 4.6. Applications 78 4.6.1. Real-time applications 78 4.6.2. Vehicular networks 80 4.6.3. Autonomous driving 81 4.6.4. Other applications 82
• CHAPTER 5. PRACTICAL ISSUES 83 5.1. Economic models 83 5.2. Content routers 88 CONCLUSION 97 ACKNOWLEDGMENT 99 BIBLIOGRAPHY 101 INDEX 119.
• (source: Nielsen Book Data)

Since its inception, the Internet has evolved from a textual information system towards a multimedia information system, in which data, services and applications are consumed as content. Today, however, the main problem faced is that applications are now content-oriented but the protocol stack remains the same, based on the content location. Thus, it is clear that the Internet s current architecture must change. This new architecture should take into account aspects to improve content location and delivery efficiency and also content availability. Fulfilling these requirements is the main goal of information-centric networks (ICNs). ICN is a new communication paradigm to increase the efficiency of content delivery and also content availability. In this new concept, the network infrastructure actively contributes to content caching and distribution. This book presents the basic concepts of ICNs, describes the main architecture proposals for these networks, and discusses the main challenges to their development. Information Centric-Networks looks at the current challenges for this concept, including: naming, routing and caching on the network-core elements, several aspects of content security, user privacy, and practical issues in implementing ICNs. Contents 1. Content Distribution on the Internet. 2. Information-Centric Networks. 3. Main ICN Architectures. 4. Challenges. 5. Practical Issues. About the Authors Gabriel M. Brito is an Engineer at Petrobras in Brazil and studying for a Master s degree at the Universidade Federal Fluminense in Brazil. Pedro Braconnot Velloso is an Associate Professor in the Department of Computer Science at the Universidade Federal Fluminense (UFF), Brazil. He worked for Bell Labs France as a research engineer from 2009 to 2011. Igor M. Moraes is an Associate Professor at the Universidade Federal Fluminense in Brazil.
(source: Nielsen Book Data)

Get acquainted with the world of LXC About This Book * Get the most practical and up-to-date resource on LXC and take full advantage of what Linux containers can offer in the day-to-day operations of large-scale applications * Learn how to deploy and administer various workloads such as web applications inside LXC * Save your organization time and money by building robust and secure containers and by speeding the deployment process of your software Who This Book Is For This book is for Linux engineers and software developers who are looking to deploy applications in a fast, secure, and scalable way for use in testing and production. What You Will Learn * Deep dive into the foundations of Linux containers with kernel namespaces and cgroups * Install, configure, and administer Linux containers with LXC and libvirt * Begin writing applications using Python libvirt bindings * Take an in-depth look at container networking * Set up monitoring and security with LXC * Build and deploy a highly available application with LXC in the cloud In Detail In recent years, containers have gained wide adoption by businesses running a variety of application loads. This became possible largely due to the advent of kernel namespaces and better resource management with control groups (cgroups). Linux containers (LXC) are a direct implementation of those kernel features that provide operating system level virtualization without the overhead of a hypervisor layer. This book starts by introducing the foundational concepts behind the implementation of LXC, then moves into the practical aspects of installing and configuring LXC containers. Moving on, you will explore container networking, security, and backups. You will also learn how to deploy LXC with technologies like Open Stack and Vagrant. By the end of the book, you will have a solid grasp of how LXC is implemented and how to run production applications in a highly available and scalable way. Style and approach A practical guide that introduces the core technologies behind Linux containers and provides a deep dive into installation, configuration, and operations of LXC.
(source: Nielsen Book Data)

Over 60 recipes to install, configure, and manage your IIS 10.0 About This Book * Provide a secure, easy-to-manage extensible platform for hosting your websites * Leverage IIS 10.0 in order to deploy web site in seconds * Integrate Windows and Nano Server 2016 and automate it with PowerShell * Recipes to Manage and monitor your IIS 10.0 Who This Book Is For If you are an administrator or web developer with a basic (or no) knowledge of Microsoft IIS and want to set up your own web server, then this is the book for you. What You Will Learn * Integrate IIS 10.0 on Windows server 2016 * Host multiple websites and Wildcard Host on IIS 10.0 * Deploy and administrate IIS 10.0 on Nano Server. * IIS administration with Powershell. * Manage and troubleshoot IIS 10.0 In Detail This book will start with customizing your IIS 10 to various platforms/OS and tune it according to your business requirements. Moving on, we will focus on the functionalities of core fundamentals and perform practical scenarios in order to maximize the use of a reliable web server. Going further we will be covering topics like IIS 10 architecture, IIS modules, hosting web server platforms, virtual directories along with web site deployment, ports, enhanced security. We will also cover new features of IIS 10 like integration with Windows Server 2016 and Nano Server, HTTP/2, PowerShell 5 cmdlets etc . Towards the end, we will cover troubleshooting & diagnostic techniques of IIS 10. By the end of this book you will be well versed with maximizing the reliability of your webserver and will have immense knowledge in using IIS 10 effectively Style and approach A set of exciting recipes on using Microsoft IIS 10.0 effectively..
(source: Nielsen Book Data)

• 1. Big Data Moves to the Center of the Universe
• 2. Measurement
• 3. Annotation
• 4. Identification, De-identification, and Re-identification
• 5. Ontologies and Semantics: How information is endowed with meaning
• 6. Standards and their Versions
• 7. Legacy Data
• 8. Hypothesis Testing
• 9. Prediction
• 10. Software
• 11. Complexity
• 12. Vulnerabilities
• 13. Legalities
• 14. Social and Ethical Issues.
• (source: Nielsen Book Data)

Principles of Big Data helps readers avoid the common mistakes that endanger all Big Data projects. By stressing simple, fundamental concepts, this book teaches readers how to organize large volumes of complex data, and how to achieve data permanence when the content of the data is constantly changing. General methods for data verification and validation, as specifically applied to Big Data resources, are stressed throughout the book. The book demonstrates how adept analysts can find relationships among data objects held in disparate Big Data resources, when the data objects are endowed with semantic support (i.e., organized in classes of uniquely identified data objects). Readers will learn how their data can be integrated with data from other resources, and how the data extracted from Big Data resources can be used for purposes beyond those imagined by the data creators.
(source: Nielsen Book Data)

• Acknowledgments xi 1 Introduction 1 1.1 Part I: The Self-Organizing Method 1 1.2 Part II: Dynamic Self-Organization for Image Filtering andMultimedia Retrieval 2 1.3 Part III: Dynamic Self-Organization for Image Segmentationand Visualization 5 1.4 Future Directions 7 2 Unsupervised Learning 9 2.1 Introduction 9 2.2 Unsupervised Clustering 9 2.3 Distance Metrics for Unsupervised Clustering 11 2.4 Unsupervised Learning Approaches 13 2.4.1 Partitioning and Cluster Membership 13 2.4.2 Iterative Mean-Squared Error Approaches 15 2.4.3 Mixture Decomposition Approaches 17 2.4.4 Agglomerative Hierarchical Approaches 18 2.4.5 Graph-Theoretic Approaches 20 2.4.6 Evolutionary Approaches 20 2.4.7 Neural Network Approaches 21 2.5 Assessing Cluster Quality and Validity 21 2.5.1 Cost Function Based Cluster Validity Indices 22 2.5.2 Density-Based Cluster Validity Indices 23 2.5.3 Geometric-Based Cluster Validity Indices 24 3 Self-Organization 27 3.1 Introduction 27 3.2 Principles of Self-Organization 27 3.2.1 Synaptic Self-Amplification and Competition 27 3.2.2 Cooperation 28 3.2.3 Knowledge Through Redundancy 29 3.3 Fundamental Architectures 29 3.3.1 Adaptive Resonance Theory 29 3.3.2 Self-Organizing Map 37 3.4 Other Fixed Architectures for Self-Organization 43 3.4.1 Neural Gas 44 3.4.2 Hierarchical Feature Map 45 3.5 Emerging Architectures for Self-Organization 46 3.5.1 Dynamic Hierarchical Architectures 47 3.5.2 Nonstationary Architectures 48 3.5.3 Hybrid Architectures 50 3.6 Conclusion 50 4 Self-Organizing Tree Map 53 4.1 Introduction 53 4.2 Architecture 54 4.3 Competitive Learning 55 4.4 Algorithm 57 4.5 Evolution 61 4.5.1 Dynamic Topology 61 4.5.2 Classification Capability 64 4.6 Practical Considerations, Extensions, and Refinements 68 4.6.1 The Hierarchical Control Function 68 4.6.2 Learning, Timing, and Convergence 71 4.6.3 Feature Normalization 73 4.6.4 Stop Criteria 73 4.7 Conclusions 74 5 Self-Organization in Impulse Noise Removal 75 5.1 Introduction 75 5.2 Review of Traditional Median-Type Filters 76 5.3 The Noise-Exclusive Adaptive Filtering 82 5.3.1 Feature Selection and Impulse Detection 82 5.3.2 Noise Removal Filters 84 5.4 Experimental Results 86 5.5 Detection-Guided Restoration and Real-Time Processing 99 5.5.1 Introduction 99 5.5.2 Iterative Filtering 101 5.5.3 Recursive Filtering 104 5.5.4 Real-Time Processing of Impulse Corrupted TV Pictures105 5.5.5 Analysis of the Processing Time 109 5.6 Conclusions 115 6 Self-Organization in Image Retrieval 119 6.1 Retrieval of Visual Information 120 6.2 Visual Feature Descriptor 122 6.2.1 Color Histogram and Color Moment Descriptors 122 6.2.2 Wavelet Moment and Gabor Texture Descriptors 123 6.2.3 Fourier and Moment-based Shape Descriptors 125 6.2.4 Feature Normalization and Selection 127 6.3 User-Assisted Retrieval 130 6.3.1 Radial Basis Function Method 132 6.4 Self-Organization for Pseudo Relevance Feedback 136 6.5 Directed Self-Organization 140 6.5.1 Algorithm 142 6.6 Optimizing Self-Organization for Retrieval 146 6.6.1 Genetic Principles 147 6.6.2 System Architecture 149 6.6.3 Genetic Algorithm for Feature Weight Detection 150 6.7 Retrieval Performance 153 6.7.1 Directed Self-Organization 153 6.7.2 Genetic Algorithm Weight Detection 155 6.8 Summary 157 7 The Self-Organizing Hierarchical Variance Map 159 7.1 An Intuitive Basis 160 7.2 Model Formulation and Breakdown 162 7.2.1 Topology Extraction via Competitive Hebbian Learning163 7.2.2 Local Variance via Hebbian Maximal Eigenfilters 165 7.2.3 Global and Local Variance Interplay for Map Growth andTermination 170 7.3 Algorithm 173 7.3.1 Initialization, Continuation, and Presentation 173 7.3.2 Updating Network Parameters 175 7.3.3 Vigilance Evaluation and Map Growth 175 7.3.4 Topology Adaptation 176 7.3.5 Node Adaptation 177 7.3.6 Optional Tuning Stage 177 7.4 Simulations and Evaluation 177 7.4.1 Observations of Evolution and Partitioning 178 7.4.2 Visual Comparisons with Popular Mean-Squared ErrorArchitectures 181 7.4.3 Visual Comparison Against Growing Neural Gas 183 7.4.4 Comparing Hierarchical with Tree-Based Methods 183 7.5 Tests on Self-Determination and the Optional Tuning Stage187 7.6 Cluster Validity Analysis on Synthetic and UCI Data 187 7.6.1 Performance vs. Popular Clustering Methods 190 7.6.2 IRIS Dataset 192 7.6.3 WINE Dataset 195 7.7 Summary 195 8 Microbiological Image Analysis Using Self-Organization197 8.1 Image Analysis in the Biosciences 197 8.1.1 Segmentation: The Common Denominator 198 8.1.2 Semi-supervised versus Unsupervised Analysis 199 8.1.3 Confocal Microscopy and Its Modalities 200 8.2 Image Analysis Tasks Considered 202 8.2.1 Visualising Chromosomes During Mitosis 202 8.2.2 Segmenting Heterogeneous Biofilms 204 8.3 Microbiological Image Segmentation 205 8.3.1 Effects of Feature Space Definition 207 8.3.2 Fixed Weighting of Feature Space 209 8.3.3 Dynamic Feature Fusion During Learning 213 8.4 Image Segmentation Using Hierarchical Self-Organization215 8.4.1 Gray-Level Segmentation of Chromosomes 215 8.4.2 Automated Multilevel Thresholding of Biofilm 220 8.4.3 Multidimensional Feature Segmentation 221 8.5 Harvesting Topologies to Facilitate Visualization 226 8.5.1 Topology Aware Opacity and Gray-Level Assignment 227 8.5.2 Visualization of Chromosomes During Mitosis 228 8.6 Summary 233 9 Closing Remarks and Future Directions 237 9.1 Summary of Main Findings 237 9.1.1 Dynamic Self-Organization: Effective Models for EfficientFeature Space Parsing 237 9.1.2 Improved Stability, Integrity, and Efficiency 238 9.1.3 Adaptive Topologies Promote Consistency and UncoverRelationships 239 9.1.4 Online Selection of Class Number 239 9.1.5 Topologies Represent a Useful Backbone for Visualizationor Analysis 240 9.2 Future Directions 240 9.2.1 Dynamic Navigation for Information Repositories 241 9.2.2 Interactive Knowledge-Assisted Visualization 243 9.2.3 Temporal Data Analysis Using Trajectories 245 Appendix A 249 A.1 Global and Local Consistency Error 249 References 251 Index 269.
• (source: Nielsen Book Data)

A new approach to unsupervised learning Evolving technologies have brought about an explosion ofinformation in recent years, but the question of how suchinformation might be effectively harvested, archived, and analyzedremains a monumental challenge for the processing of suchinformation is often fraught with the need for conceptualinterpretation: a relatively simple task for humans, yet an arduousone for computers. Inspired by the relative success of existing popular research onself-organizing neural networks for data clustering and featureextraction, Unsupervised Learning: A Dynamic Approachpresents information within the family of generative, self-organizing maps, such as the self-organizing tree map (SOTM)and the more advanced self-organizing hierarchical variance map(SOHVM). It covers a series of pertinent, real-world applicationswith regard to the processing of multimedia data from itsrole in generic image processing techniques, such as the automatedmodeling and removal of impulse noise in digital images, toproblems in digital asset management and its various roles infeature extraction, visual enhancement, segmentation, and analysisof microbiological image data. Self-organization concepts and applications discussedinclude: * Distance metrics for unsupervised clustering * Synaptic self-amplification and competition * Image retrieval * Impulse noise removal * Microbiological image analysis Unsupervised Learning: A Dynamic Approach introduces anew family of unsupervised algorithms that have a basis inself-organization, making it an invaluable resource forresearchers, engineers, and scientists who want to create systemsthat effectively model oppressive volumes of data with little or nouser intervention.
(source: Nielsen Book Data)

• Acknowledgments xi 1 Introduction 1 1.1 Part I: The Self-Organizing Method 1 1.2 Part II: Dynamic Self-Organization for Image Filtering andMultimedia Retrieval 2 1.3 Part III: Dynamic Self-Organization for Image Segmentationand Visualization 5 1.4 Future Directions 7 2 Unsupervised Learning 9 2.1 Introduction 9 2.2 Unsupervised Clustering 9 2.3 Distance Metrics for Unsupervised Clustering 11 2.4 Unsupervised Learning Approaches 13 2.4.1 Partitioning and Cluster Membership 13 2.4.2 Iterative Mean-Squared Error Approaches 15 2.4.3 Mixture Decomposition Approaches 17 2.4.4 Agglomerative Hierarchical Approaches 18 2.4.5 Graph-Theoretic Approaches 20 2.4.6 Evolutionary Approaches 20 2.4.7 Neural Network Approaches 21 2.5 Assessing Cluster Quality and Validity 21 2.5.1 Cost Function Based Cluster Validity Indices 22 2.5.2 Density-Based Cluster Validity Indices 23 2.5.3 Geometric-Based Cluster Validity Indices 24 3 Self-Organization 27 3.1 Introduction 27 3.2 Principles of Self-Organization 27 3.2.1 Synaptic Self-Amplification and Competition 27 3.2.2 Cooperation 28 3.2.3 Knowledge Through Redundancy 29 3.3 Fundamental Architectures 29 3.3.1 Adaptive Resonance Theory 29 3.3.2 Self-Organizing Map 37 3.4 Other Fixed Architectures for Self-Organization 43 3.4.1 Neural Gas 44 3.4.2 Hierarchical Feature Map 45 3.5 Emerging Architectures for Self-Organization 46 3.5.1 Dynamic Hierarchical Architectures 47 3.5.2 Nonstationary Architectures 48 3.5.3 Hybrid Architectures 50 3.6 Conclusion 50 4 Self-Organizing Tree Map 53 4.1 Introduction 53 4.2 Architecture 54 4.3 Competitive Learning 55 4.4 Algorithm 57 4.5 Evolution 61 4.5.1 Dynamic Topology 61 4.5.2 Classification Capability 64 4.6 Practical Considerations, Extensions, and Refinements 68 4.6.1 The Hierarchical Control Function 68 4.6.2 Learning, Timing, and Convergence 71 4.6.3 Feature Normalization 73 4.6.4 Stop Criteria 73 4.7 Conclusions 74 5 Self-Organization in Impulse Noise Removal 75 5.1 Introduction 75 5.2 Review of Traditional Median-Type Filters 76 5.3 The Noise-Exclusive Adaptive Filtering 82 5.3.1 Feature Selection and Impulse Detection 82 5.3.2 Noise Removal Filters 84 5.4 Experimental Results 86 5.5 Detection-Guided Restoration and Real-Time Processing 99 5.5.1 Introduction 99 5.5.2 Iterative Filtering 101 5.5.3 Recursive Filtering 104 5.5.4 Real-Time Processing of Impulse Corrupted TV Pictures105 5.5.5 Analysis of the Processing Time 109 5.6 Conclusions 115 6 Self-Organization in Image Retrieval 119 6.1 Retrieval of Visual Information 120 6.2 Visual Feature Descriptor 122 6.2.1 Color Histogram and Color Moment Descriptors 122 6.2.2 Wavelet Moment and Gabor Texture Descriptors 123 6.2.3 Fourier and Moment-based Shape Descriptors 125 6.2.4 Feature Normalization and Selection 127 6.3 User-Assisted Retrieval 130 6.3.1 Radial Basis Function Method 132 6.4 Self-Organization for Pseudo Relevance Feedback 136 6.5 Directed Self-Organization 140 6.5.1 Algorithm 142 6.6 Optimizing Self-Organization for Retrieval 146 6.6.1 Genetic Principles 147 6.6.2 System Architecture 149 6.6.3 Genetic Algorithm for Feature Weight Detection 150 6.7 Retrieval Performance 153 6.7.1 Directed Self-Organization 153 6.7.2 Genetic Algorithm Weight Detection 155 6.8 Summary 157 7 The Self-Organizing Hierarchical Variance Map 159 7.1 An Intuitive Basis 160 7.2 Model Formulation and Breakdown 162 7.2.1 Topology Extraction via Competitive Hebbian Learning163 7.2.2 Local Variance via Hebbian Maximal Eigenfilters 165 7.2.3 Global and Local Variance Interplay for Map Growth andTermination 170 7.3 Algorithm 173 7.3.1 Initialization, Continuation, and Presentation 173 7.3.2 Updating Network Parameters 175 7.3.3 Vigilance Evaluation and Map Growth 175 7.3.4 Topology Adaptation 176 7.3.5 Node Adaptation 177 7.3.6 Optional Tuning Stage 177 7.4 Simulations and Evaluation 177 7.4.1 Observations of Evolution and Partitioning 178 7.4.2 Visual Comparisons with Popular Mean-Squared ErrorArchitectures 181 7.4.3 Visual Comparison Against Growing Neural Gas 183 7.4.4 Comparing Hierarchical with Tree-Based Methods 183 7.5 Tests on Self-Determination and the Optional Tuning Stage187 7.6 Cluster Validity Analysis on Synthetic and UCI Data 187 7.6.1 Performance vs. Popular Clustering Methods 190 7.6.2 IRIS Dataset 192 7.6.3 WINE Dataset 195 7.7 Summary 195 8 Microbiological Image Analysis Using Self-Organization197 8.1 Image Analysis in the Biosciences 197 8.1.1 Segmentation: The Common Denominator 198 8.1.2 Semi-supervised versus Unsupervised Analysis 199 8.1.3 Confocal Microscopy and Its Modalities 200 8.2 Image Analysis Tasks Considered 202 8.2.1 Visualising Chromosomes During Mitosis 202 8.2.2 Segmenting Heterogeneous Biofilms 204 8.3 Microbiological Image Segmentation 205 8.3.1 Effects of Feature Space Definition 207 8.3.2 Fixed Weighting of Feature Space 209 8.3.3 Dynamic Feature Fusion During Learning 213 8.4 Image Segmentation Using Hierarchical Self-Organization215 8.4.1 Gray-Level Segmentation of Chromosomes 215 8.4.2 Automated Multilevel Thresholding of Biofilm 220 8.4.3 Multidimensional Feature Segmentation 221 8.5 Harvesting Topologies to Facilitate Visualization 226 8.5.1 Topology Aware Opacity and Gray-Level Assignment 227 8.5.2 Visualization of Chromosomes During Mitosis 228 8.6 Summary 233 9 Closing Remarks and Future Directions 237 9.1 Summary of Main Findings 237 9.1.1 Dynamic Self-Organization: Effective Models for EfficientFeature Space Parsing 237 9.1.2 Improved Stability, Integrity, and Efficiency 238 9.1.3 Adaptive Topologies Promote Consistency and UncoverRelationships 239 9.1.4 Online Selection of Class Number 239 9.1.5 Topologies Represent a Useful Backbone for Visualizationor Analysis 240 9.2 Future Directions 240 9.2.1 Dynamic Navigation for Information Repositories 241 9.2.2 Interactive Knowledge-Assisted Visualization 243 9.2.3 Temporal Data Analysis Using Trajectories 245 Appendix A 249 A.1 Global and Local Consistency Error 249 References 251 Index 269.
• (source: Nielsen Book Data)

A new approach to unsupervised learning Evolving technologies have brought about an explosion ofinformation in recent years, but the question of how suchinformation might be effectively harvested, archived, and analyzedremains a monumental challenge for the processing of suchinformation is often fraught with the need for conceptualinterpretation: a relatively simple task for humans, yet an arduousone for computers. Inspired by the relative success of existing popular research onself-organizing neural networks for data clustering and featureextraction, Unsupervised Learning: A Dynamic Approachpresents information within the family of generative, self-organizing maps, such as the self-organizing tree map (SOTM)and the more advanced self-organizing hierarchical variance map(SOHVM). It covers a series of pertinent, real-world applicationswith regard to the processing of multimedia data from itsrole in generic image processing techniques, such as the automatedmodeling and removal of impulse noise in digital images, toproblems in digital asset management and its various roles infeature extraction, visual enhancement, segmentation, and analysisof microbiological image data. Self-organization concepts and applications discussedinclude: * Distance metrics for unsupervised clustering * Synaptic self-amplification and competition * Image retrieval * Impulse noise removal * Microbiological image analysis Unsupervised Learning: A Dynamic Approach introduces anew family of unsupervised algorithms that have a basis inself-organization, making it an invaluable resource forresearchers, engineers, and scientists who want to create systemsthat effectively model oppressive volumes of data with little or nouser intervention.
(source: Nielsen Book Data)

• Acknowledgments
• Introduction
• Chapter 1 Becoming a CISA
• Benefits of CISA Certification
• The CISA Certification Process
• Experience Requirements
• ISACA IS Standards
• The Certification Exam
• Exam Preparation
• Before the Exam
• Day of the Exam
• After the Exam
• Applying for CISA Certification
• Retaining Your CISA Certification
• CISA Exam Preparation Pointers
• Summary
• Chapter 2 IT Governance and Management
• Questions
• Quick Answer Key
• Answers
• Chapter 3 The Audit Process
• Questions
• Quick Answer Key
• Answers
• Chapter 4 IT Life Cycle Management
• Questions
• Quick Answer Key
• Answers
• Chapter 5 IT Service Management and Continuity
• Questions
• Quick Answer Key
• Answers
• Chapter 6 Information Asset Protection
• Questions
• Quick Answer Key
• Answers
• Appendix About the Online Content
• System Requirements
• Your Total Seminars Training Hub Account
• Privacy Notice
• Single User License Terms and Conditions
• TotalTester Online
• Technical Support.

Publisher's Note: Products purchased from Third Party sellers are not guaranteed by the publisher for quality, authenticity, or access to any online entitlements included with the product. Hundreds of accurate practice questions that cover every topic on the latest version of the CISA exam Written by an IT security and audit expert, this highly effective self-study guide covers all five domains included on the 2019 release of the Certified Information Systems Auditor exam. To reinforce important skills and facilitate retention, every question is accompanied by explanations for both correct and incorrect answers. Designed to help you pass the test with greater confidence, this book is also an ideal companion to the bestselling CISA Certified Information Systems Auditor All-in-One Exam Guide, Fourth Edition. Covers all five exam domains: • Information Systems Auditing Process • Governance and Management of IT • Information Systems Acquisition, Development, and Implementation • Information Systems Operations and Business Resilience • Protection of Information Assets Online content includes: • 150 practice questions • Test engine that provides full-length practice exams and customized quizzes by chapter or exam domain.

Get acquainted with the world of LXC About This Book * Get the most practical and up-to-date resource on LXC and take full advantage of what Linux containers can offer in the day-to-day operations of large-scale applications * Learn how to deploy and administer various workloads such as web applications inside LXC * Save your organization time and money by building robust and secure containers and by speeding the deployment process of your software Who This Book Is For This book is for Linux engineers and software developers who are looking to deploy applications in a fast, secure, and scalable way for use in testing and production. What You Will Learn * Deep dive into the foundations of Linux containers with kernel namespaces and cgroups * Install, configure, and administer Linux containers with LXC and libvirt * Begin writing applications using Python libvirt bindings * Take an in-depth look at container networking * Set up monitoring and security with LXC * Build and deploy a highly available application with LXC in the cloud In Detail In recent years, containers have gained wide adoption by businesses running a variety of application loads. This became possible largely due to the advent of kernel namespaces and better resource management with control groups (cgroups). Linux containers (LXC) are a direct implementation of those kernel features that provide operating system level virtualization without the overhead of a hypervisor layer. This book starts by introducing the foundational concepts behind the implementation of LXC, then moves into the practical aspects of installing and configuring LXC containers. Moving on, you will explore container networking, security, and backups. You will also learn how to deploy LXC with technologies like Open Stack and Vagrant. By the end of the book, you will have a solid grasp of how LXC is implemented and how to run production applications in a highly available and scalable way. Style and approach A practical guide that introduces the core technologies behind Linux containers and provides a deep dive into installation, configuration, and operations of LXC.
(source: Nielsen Book Data)

• Cover --
• About the Author
• Title Page
• Copyright Page
• Dedication
• Contents at a Glance
• Contents
• Preface
• Acknowledgments
• Introduction
• Part I Cloud Computing Introduction
• 1 The Principles of Cloud Computing
• 2 The Business Side of Cloud Computing
• Part II Cloud Design Requirements
• 3 Cloud Planning
• 4 Compliance and the Cloud
• Part III Cloud Infrastructure
• 5 Cloud Storage Infrastructure
• 6 Cloud Network Infrastructure
• 7 Cloud Compute Infrastructure
• 8 Applications and Big Data in the Cloud
• 9 Cloud DevOps
• Part IV Securing the Cloud
• 10 Security and the Cloud
• 11 Managing Cloud Risk
• Part V Appendix and Glossary
• A About the Online Content
• Glossary
• Index.

Publisher's Note: Products purchased from Third Party sellers are not guaranteed by the publisher for quality, authenticity, or access to any online entitlements included with the product. The best IT certification exam study system available Filled with hands-on exercises and practice exam questions, CompTIA Cloud Essentials+™ Certification Study Guide, Second Edition (Exam CLO-002) covers what you need to know-and shows you how to prepare-for this challenging exam. • 100% complete coverage of all official objectives for exam CLO-002 • Exam Readiness checklist-you're ready for the exam when all objectives on the list are checked off • Exam Watch notes call attention to information about, and potential pitfalls in, the exam • Two-Minute Drills for quick review at the end of every chapter • Simulated exam questions match the format, tone, topics, and difficulty of the real exam Covers all the exam topics, including: The Principles of Cloud Computing • The Business Side of Cloud Computing • Cloud Planning • Compliance and the Cloud • Cloud Storage Infrastructure • Cloud Network Infrastructure • Cloud Compute Infrastructure • Applications and Big Data in the Cloud • Cloud DevOps • Security and the Cloud • Managing Cloud Risk Online content includes: • Test engine that provides full-length practice exams and customized quizzes by chapter or by exam domain • Access to entire book PDF.

• Preface; Acknowledgments; Contents; 1 Introduction; 1.1 Application Scenarios; 1.2 The Research Significance and Challenges; 1.3 Implementation Framework; 1.4 Overview of the Book; References; 2 Literature and Research Review; 2.1 Metrics for Quality-Aware Scheduling; 2.1.1 QoS Metrics; 2.1.2 QoD Metrics; 2.2 Quality-Aware Scheduling in Data Management System; 2.2.1 Quality-Aware Scheduling in RTDBMS; 2.2.2 Quality-Aware Scheduling in DSMS; 2.2.3 Quality-Aware Scheduling in RDBMS; 2.2.4 Quality-Aware Scheduling in Key-Value Stores; 2.3 Summary; References; 3 Problem Overview.

• 3.1 Background Knowledge3.1.1 Data Organization; 3.1.2 Data Replication and Consistency; 3.1.3 User Queries; 3.1.4 System Updates: State-Transfer Versus Operation-Transfer; 3.2 Problem Statement; 3.2.1 QoS Penalty; 3.2.2 QoD Penalty; 3.2.3 Combined Penalty; 3.3 Summary; References; 4 Scheduling for State-Transfer Updates; 4.1 On-Demand (OD) Mechanism; 4.1.1 WSJF-OD; 4.2 Hybrid On-Demand (HOD) Mechanism; 4.2.1 WSJF-HOD; 4.3 Freshness/Tardiness (FIT) Mechanism; 4.3.1 WSJF-FIT; 4.4 Adaptive Freshness/Tardiness (AFIT) Mechanism; 4.4.1 Query Routing; 4.4.2 Query Selection; 4.4.3 WSJF-AFIT.

• 4.5 Popularity-Aware Mechanism4.5.1 Populairty-Aware WSJF-OD; 4.5.2 Populairty-Aware WSJF-HOD; 4.5.3 Popularity-Aware WSJF-FIT; 4.5.4 Popularity-Aware WSJF-AFIT; 4.6 Experimental Study; 4.6.1 Baseline Policies; 4.6.2 Parameter Setting; 4.6.3 Impact of Query Arrival Rate; 4.6.4 Impact of Update Cost; 4.6.5 Impact of Different QoS and QoD Preferences; 4.6.6 Impact of Popularity; 4.7 Summary; References; 5 Scheduling for Operation-Transfer Updates; 5.1 Hybrid On-Demand (HOD) Mechanism; 5.1.1 WSJF-HOD; 5.2 Freshness/Tardiness (FIT) Mechanism; 5.2.1 WSJF-FIT; 5.3 Popularity-Aware Mechanism.

• 5.3.1 Popularity-Aware WSJF-HOD5.3.2 Popularity-Aware WSJF-FIT; 5.4 Experimental Study; 5.4.1 Parameter Setting; 5.4.2 Impact of Update Arrival Rate; 5.4.3 Impact of Popularity and Approximation; 5.5 Summary; References; 6 AQUAS: A Quality-Aware Scheduler; 6.1 System Overview; 6.1.1 System Goals; 6.1.2 System Design; 6.2 System Performance; 6.2.1 Benchmark; 6.2.2 Evaluation Result; 6.3 A Demonstration on MicroBlogging Application; 6.3.1 Timeline Queries in AQUAS; 6.3.2 A Case Study; 6.4 Summary; References; 7 Conclusion and Future Work; 7.1 Conclusion; 7.2 Future Work; References.

Key-value stores, which are commonly used as data platform for various web applications, provide a distributed solution for cloud computing and big data management. In modern web applications, user experience satisfaction determines their success . In real application, different web queries or users produce different expectations in terms of query latency (i.e., Quality of Service (QoS)) and data freshness (i.e., Quality of Data (QoD)). Hence, the question of how to optimize QoS and QoD by scheduling queries and updates in key-value stores has become an essential research issue. This book comprehensively illustrates quality-ware scheduling in key-value stores. In addition, it provides scheduling strategies and a prototype framework for a quality-aware scheduler, as well as a demonstration of online applications. The book offers a rich blend of theory and practice, making it suitable for students, researchers and practitioners interested in distributed systems, NoSQL key-value stores and scheduling.

• Basics Database Queries Basic Setting Exact Search Similarity Search Join Errors
• Low-Dimensional Index Structures Hashing Static Hashing Dynamic Hashing Locality Sensitive Hashing (LSH) Multi-Dimensional Hashing Space-Filling Curves
• Memory-Based Index Structures Index Structures Binary Search Tree (BST) Quadtree K-D-Tree Range Tree Voronoi Diagram Tries Suffix Tree Bitmap Index
• Disk-Based Index Structures Hierarchical Structures B-Tree and B+-Tree K-D-B-Tree General Framework R-Tree R*-Tree R+-Tree Hilbert R-Tree SS-Tree SR-Tree P-Tree Bulk-Loading
• Distances Distance Functions Metric Spaces Lp Norm Quadratic Form Distance Cosine Similarity Statistical Distance Measures Distances between Sets of Objects Earth Mover's Distance Edit Distance
• Distance-Based Structures Triangular Inequality VP-Tree GH-Tree GNAT M-Tree SA-Tree AESA Linear AESA (LAESA) AESA for Vector Spaces
• High-Dimensional Spaces Curse of Dimensionality Analysis of Search for High-Dimensional Data Expected Nearest Neighbor Distance Expected Number of Page Accesses Curse of Dimensionality
• High-Dimensionality Structures X-Tree Pyramid Technique IMinMax VA-File A-Tree IQ-Tree
• Data Reduction Techniques Dimensionality Reduction Techniques Properties Useful for Similarity Search Quality Measures Embedding Singular Value Decomposition (SVD) Principal Component Analysis (PCA) Multi-Dimensional Scaling (MDS) IsoMap FastMap Embedding Methods Bounds on Distortion
• Data Representation Techniques Discrete Fourier Transform (DFT) Discrete Cosine Transform (DCT) Discrete Wavelet Transform (DWT) V-Optimal Histogram
• Appendices A Memory and Disk Accesses Memory Access Disks Flash
• B Distances of Bounding Boxes Distance of a Point from a Rectangle Distance of a Point from a Sphere Distance of a Sphere from a Rectangle Distance of a Sphere from a Sphere Distance of a Rectangle from a Rectangle
• C Vectors and Matrices Vector Spaces Matrices Properties of Matrices Dimensionality
• D Probability and Statistics Random Variable Probability Distribution Statistical Parameters.
• (source: Nielsen Book Data)

• Basics. Low-Dimensional Index Structures. Disk-Based Index Structures. Distances. High-Dimensional Spaces. Data Reduction Techniques. Appendices.
• (source: Nielsen Book Data)

Fundamentals of Database Indexing and Searching presents well-known database searching and indexing techniques. It focuses on similarity search queries, showing how to use distance functions to measure the notion of dissimilarity. After defining database queries and similarity search queries, the book organizes the most common and representative index structures according to their characteristics. The author first describes low-dimensional index structures, memory-based index structures, and hierarchical disk-based index structures. He then outlines useful distance measures and index structures that use the distance information to efficiently solve similarity search queries. Focusing on the difficult dimensionality phenomenon, he also presents several indexing methods that specifically deal with high-dimensional spaces. In addition, the book covers data reduction techniques, including embedding, various data transforms, and histograms. Through numerous real-world examples, this book explores how to effectively index and search for information in large collections of data. Requiring only a basic computer science background, it is accessible to practitioners and advanced undergraduate students.
(source: Nielsen Book Data)
Fundamentals of Database Indexing and Searching presents well-known database searching and indexing techniques. It focuses on similarity search queries, showing how to use distance functions to measure the notion of dissimilarity.After defining database queries and similarity search queries, the book organizes the most common and representative ind.
(source: Nielsen Book Data)

• Chapter 1. Android and Mobile Forensics
• Chapter 2. Android Hardware Platforms
• Chapter 3. Android Software Development Kit and Android Debug Bridge
• Chapter 4. Android File Systems and Data Structures
• Chapter 5. Android Device, Data and App Security
• Chapter 6. Android Forensic Techniques
• Chapter 7. Android Application and Forensic Analysis.
• (source: Nielsen Book Data)

Android Forensics: Investigation, Analysis, and Mobile Security for Google Android provides the background, techniques and analysis tools you need to effectively investigate an Android phone. This book offers a thorough review of the Android platform, including the core hardware and software components, file systems and data structures, data security considerations, and forensic acquisition techniques and strategies for the subsequent analysis require d. this book is ideal for the classroom as it teaches readers not only how to forensically acquire Android devices but also how to apply actual forensic techniques to recover data. The book lays a heavy emphasis on open source tools and step-by-step examples and includes information about Android applications needed for forensic investigations. It is organized into seven chapters that cover the history of the Android platform and its internationalization; the Android Open Source Project (AOSP) and the Android Market; a brief tutorial on Linux and Android forensics; and how to create an Ubuntu-based virtual machine (VM). The book also considers a wide array of Android-supported hardware and device types, the various Android releases, the Android software development kit (SDK), the Davlik VM, key components of Android security, and other fundamental concepts related to Android forensics, such as the Android debug bridge and the USB debugging setting. In addition, it analyzes how data are stored on an Android device and describes strategies and specific utilities that a forensic analyst or security engineer can use to examine an acquired Android device. Core Android developers and manufacturers, app developers, corporate security officers, and anyone with limited forensic experience will find this book extremely useful. It will also appeal to computer forensic and incident response professionals, including commercial/private sector contractors, consultants, and those in federal government.
(source: Nielsen Book Data)

• 1. Bridging the Blockchain Knowledge Gap
• 2. The Mist Browser
• 3. The EVM
• 4. Solidity Programming
• 5. Smart Contacts and Tokens
• 6. Mining Ether
• 7. Cryptoeconomics Survey
• 8. Dapp Deployment
• 9. Creating Private Chains
• 10. Use Cases
• 11. Advanced Concepts.
• (source: Nielsen Book Data)

Learn how to use Solidity and the Ethereum project - second only to Bitcoin in market capitalization. Blockchain protocols are taking the world by storm, and the Ethereum project, with its Turing-complete scripting language Solidity, has rapidly become a front-runner. This book presents the blockchain phenomenon in context; then situates Ethereum in a world pioneered by Bitcoin. See why professionals and non-professionals alike are honing their skills in smart contract patterns and distributed application development. You'll review the fundamentals of programming and networking, alongside its introduction to the new discipline of crypto-economics. You'll then deploy smart contracts of your own, and learn how they can serve as a back-end for JavaScript and HTML applications on the Web. Many Solidity tutorials out there today have the same flaw: they are written for "advanced" JavaScript developers who want to transfer their skills to a blockchain environment. Introducing Ethereum and Solidity is accessible to technology professionals and enthusiasts of all levels. You'll find exciting sample code that can move forward real world assets in both the academic and the corporate arenas. Find out now why this book is a powerful gateway for creative technologists of all types, from concept to deployment. What You'll Learn See how Ethereum (and other cryptocurrencies) work Compare distributed apps (dapps) to web apps Write Ethereum smart contracts in Solidity Connect Ethereum smart contracts to your HTML/CSS/JavaScript web applications Deploy your own dapp, coin, and blockchain Work with basic and intermediate smart contracts Who This Book Is For Anyone who is curious about Ethereum or has some familiarity with computer science Product managers, CTOs, and experienced JavaScript programmers Experts will find the advanced sample projects in this book rewarding because of the power of Solidity.
(source: Nielsen Book Data) Written by a technology journalist trained in breaking down technical concepts into easy-to-understand prose, this book updates you on the last three years of progress since Bitcoin became popular ئ and then situates Ethereum in a world pioneered by Bitcoin. -- Edited summary from book.

• Frontmatter
• Acknowledgements
• Contents
• 1. Getting Started and Setting Up
• 2. The Basics of PowerShell
• 3. The PowerShell Pipeline
• 4. PowerShell Providers, Modules, and Snap-ins
• 5. The Complete Beginner's Guide to Objects
• 6. Filtering and Limiting
• 7. Creating Simple Scripts
• 8. More Work with Objects
• 9. To the Many, To the Few -- PowerShell Remoting
• 10. Useful PowerShell Tools
• 11. Using PowerShell to Manage Office 365
• 12. Desired State Configuration
• 13. Common Administrative Tasks with PowerShell
• Appendix X: Quick Cheat Sheet of PowerShell Verbs
• Index.

Learning PowerShell is a custom-built, handcrafted, painstakingly curated book designed to get you from total PowerShell newbie to confident PowerShell user in as little as four weeks. This book assumes no prior knowledge, perfect for non-developers and GUI addicts who recognize that PowerShell is the future but need a good bit of handholding to achieve mastery. It is also a simple guide for the hundreds of thousands of PowerShell users who have not attained the level of PowerShell knowledge that they really need. With Learning PowerShell at your side, you will see that you don't have to be a developer to use PowerShell and you don't need to be a scripting wizard to derive value from integrating PowerShell into your daily administrative activities. The book is a learning resource that covers every topic worth discussing for a PowerShell beginner, with a depth of explanation unparalleled by any book currently on the market. With this book, you don't have to have a lot of time to learn the language and you can begin applying what you master almost immediately. Even skeptics of PowerShell, and command lines in general, will come away with a renewed sense of respect for the language and ideas on how to put it to use.
(source: Nielsen Book Data)

• Cover; Title; EUL; Dedication; Contents; Foreword; Preface; Introduction; Chapter 01; Chapter 02; Chapter 03; Chapter 04; Chapter 05; Chapter 06; Chapter 07; Chapter 08; Chapter 09; Chapter 10; Chapter 11; Chapter 12; Bibliography; Index.

Introduction to Computer Data Representation introduces readers to the representation of data within computers. Starting from basic principles of number representation in computers, the book covers the representation of both integer and floating point numbers, and characters or text. It comprehensively explains the main techniques of computer arithmetic and logical manipulation. The book also features chapters covering the less usual topics of basic checksums and 'universal' or variable length representations for integers, with additional coverage of Gray Codes, BCD codes and logarithmic repre.

• What is Asterisk and why do you need it? Installing Asterisk Add-ons and Modules Scripting Asterisk Hardware Ninjutsu Protocols, say what? Asterisk Underground Lock it down! Reach out and touch someone: The future of Asterisk Hacking.
• (source: Nielsen Book Data)

Asterisk Hacking provides detials of techniques people may not be aware of. It teaches the secrets the bad guys already know about stealing personal information through the most common, seemingly innocuous, highway into computer networks: the phone system. This book provides detials to readers what they can do to protect themselves, their families, their clients, and their network from this invisible threat. Power tips show how to make the most out of the phone system for defense or attack.
(source: Nielsen Book Data)

• Cover; Copyright; Credits; About the Authors; About the Reviewer; www.PacktPub.com; Customer Feedback; Table of Contents; Preface;
• Chapter 1: AWS Fundamentals; Introduction; Creating an account; Regions and Availability Zones; The AWS web console; CloudFormation templates; Infrastructure as Code; Visibility; Consistency; Troubleshooting; Scale; Costs; DevOps; Server configuration; IaC on AWS; CloudFormation; What is CloudFormation?; Why is CloudFormation important?; The layer cake; CloudFormation templates; YAML versus JSON; A closer look at CloudFormation templates; Parameters; Resources.

• OutputsMappings; Dependencies and ordering; Functions; Fn::Join; Fn::Sub; Conditionals; Permissions and service roles; Custom resources; Cross-stack references; Updating resources; Change sets; Other things to know; Name collisions; Rollback; Limits; Circular dependencies; DSLs and generators; Credentials; Stack policies; The command-line interface tool; Installation; Upgrade; Configuration; Default profile; Named profiles; Environment variables; Instance roles; Usage; Commands; Subcommands; Options; Output; JSON; Table; Text; Querying; Generate CLI skeleton; Input; Output; Pagination.

• AutocompleteRelated tools; jq;
• Chapter 2: Managing AWS Accounts; Introduction; Setting up a master account; How to do it ... ; How it works ... ; There's more ... ; Multi-factor authentication; Using the CLI; See also; Creating a member account; Getting ready; How to do it ... ; How it works ... ; There's more ... ; Accessing the member account; Service control policies; Root credentials; Deleting accounts; See also; Inviting an account; Getting ready; How to do it ... ; How it works ... ; There's more ... ; Removing accounts; Consolidated billing; See also; Managing your accounts; Getting ready.

• How to do it ... Getting the root ID for your organization; Creating an OU; Getting the ID of an OU; Adding an account to an OU; Removing an account from an OU; Deleting an OU; How it works ... ; There's more ... ; See also; Adding a service control policy; Getting ready; How to do it ... ; How it works ... ; There's more ... ; See also;
• Chapter 3: Storage and Content Delivery; Introduction; Storage; Elastic Block Store; Elastic File System; Simple Storage Service; Glacier; Content delivery; Hosting a static website; How to do it ... ; Creating S3 buckets and hosting content; Creating a hosted zone.

• Creating DNS recordsUploading website content; How it works ... ; There's more ... ; Delegating your domain to AWS; Cross-origin resource sharing ; Caching a website; Getting ready; About dynamic content; Configuring CloudFront distributions; How to do it ... ; Working with network storage; Getting ready; How to do it ... ; How it works ... ; There's more ... ; Backing up data for compliance; How to do it ... ; How it works ... ;
• Chapter 4: Using AWS Compute; Introduction; Creating a key pair; Getting ready; How to do it ... ; How it works ... ; Launching an instance; Getting ready; How to do it ...

Build, automate, and manage your AWS-based cloud environments About This Book * Install, configure, and administer computing, storage, and networking in the AWS cloud * Automate your infrastructure and control every aspect of it through infrastructure as code * Work through exciting recipes to administer your AWS cloud Who This Book Is For If you are an administrator, DevOps engineer, or an IT professional who is moving to an AWS-based cloud environment, then this book is for you. It assumes familiarity with cloud computing platforms, and that you have some understanding of virtualization, networking, and other administration-related tasks. What You Will Learn * Discover the best practices to achieve an automated repeatable infrastructure in AWS * Bring down your IT costs by managing AWS successfully and deliver high availability, fault tolerance, and scalability * Make any website faster with static and dynamic caching * Create monitoring and alerting dashboards using CloudWatch * Migrate a database to AWS * Set up consolidated billing to achieve simple and effective cost management with accounts * Host a domain and find out how you can automate health checks In Detail Amazon Web Services (AWS) is a bundled remote computing service that provides cloud computing infrastructure over the Internet with storage, bandwidth, and customized support for application programming interfaces (API). Implementing these services to efficiently administer your cloud environments is a core task. This book will help you build and administer your cloud environment with AWS. We'll begin with the AWS fundamentals, and you'll build the foundation for the recipes you'll work on throughout the book. Next, you will find out how to manage multiple accounts and set up consolidated billing. You will then learn to set up reliable and fast hosting for static websites, share data between running instances, and back up your data for compliance. Moving on, you will find out how to use the compute service to enable consistent and fast instance provisioning, and will see how to provision storage volumes and autoscale an application server. Next, you'll discover how to effectively use the networking and database service of AWS. You will also learn about the different management tools of AWS along with securing your AWS cloud. Finally, you will learn to estimate the costs for your cloud. By the end of the book, you will be able to easily administer your AWS cloud. Style and approach This practical guide is packed with clear, practical, instruction-based recipes that will enable you to use and implement the latest features of AWS.
(source: Nielsen Book Data)

• Introduction xvii
• Chapter 1 Abstracting Network and Security 1 Networks: 1990s 1 Colocation 2 Workload-to-Server Ratio 3 Inefficient Resource Allocation 3 The Long Road to Provisioning 3 Data Centers Come of Age 4 Data Center Workloads 4 Workloads Won't Stay Put 5 VMware 6 Virtualization 6 What is Happening in There? 6 Portability 8 Virtualize Away 8 Extending Virtualization to Storage 9 Virtual Networking and Security 9 NSX to the Rescue 10 The Bottom Line 13
• Chapter 2 NSX Architecture and Requirements 15 NSX Network Virtualization 16 Planes of Operation 16 NSX Manager Role and Function 18 ESXi Hosts 19 vCenter Server 20 vSphere Distributed Switch 21 NSX VIBs 23 Competitive Advantage: IOChain 24 IOChain Security Features 24 NSX Controllers 25 NSX Controller Clustering 26 NSX Controller Roles 26 NSX Edge 28 ESG Sizing 30 NSX Role-Based Access Control 30 Overlay and Underlay Networks 32 Replication Modes for Traffic Going to Multiple Destinations 34 The Bottom Line 36
• Chapter 3 Preparing NSX 39 NSX Manager Prerequisites 39 Open Ports and Name Resolution 40 Minimum Resource Requirements for NSX Data Center Appliances 40 vSphere HA and DRS 41 IP Addressing and Port Groups 43 Installing the Client Integration Plug-in 44 Installing NSX Manager 44 Associating NSX Manager to vCenter 46 Adding AD/LDAP to NSX 47 Linking Multiple NSX Managers Together (Cross- vCenter NSX) 51 Multi-site Consistency with Universal Components 51 Primary and Secondary NSX Managers 53 Preparing ESXi Clusters for NSX 54 Creating a Universal Transport Zone on the Primary NSX Manager 56 vSphere Distributed Switches Membership 57 Adding Secondary NSX Managers 58 The Bottom Line 59
• Chapter 4 Distributed Logical Switch 61 vSphere Standard Switch (vSS) 62 Traffic Shaping 63 Understanding Port Groups 64 NIC Teaming 65 Ensuring Security 66 Virtual Distributed Switch (vDS) 67 Virtual eXtensible LANs (VXLANs) 68 Employing Logical Switches 71 Three Tables That Store VNI Information 73 Collecting VNI Information 74 Centralized MAC Table 75 VTEP Table 76 We Might as Well Talk about ARP Now 79 Filling In the L2 and L3 Headers 79 Switch Security Module 81 Understanding Broadcast, Unknown Unicast, and Multicast 83 Layer 2 Flooding 83 Replication Modes 83 Deploying Logical Switches 84 Creating a Logical Switch 85 The Bottom Line 85
• Chapter 5 Marrying VLANs and VXLANs 87 Shotgun Wedding: Layer 2 Bridge 87 Architecture 88 Challenges 89 Deployment 90 Under the Hood 102 Layer 2 VPN 102 NSX Native L2 Bridging 103 Hardware Switches to the Rescue 103 Hardware VTEPs 103 Deployment 104 Under the Hood 104 The Bottom Line 105
• Chapter 6 Distributed Logical Router 107 Distributed Logical Router (DLR) 107 Control Plane Smarts 108 Logical Router Control Virtual Machine 108 Understanding DLR Efficiency 111 Another Concept to Consider 115 Let's Get Smart about Routing 117 OSPF 119 Border Gateway Protocol (BGP) 120 Oh Yeah, Statics Too 123 Deploying Distributed Logical Routers 125 The Bottom Line 134
• Chapter 7 NFV: Routing with NSX Edges 137 Network Function Virtualization: NSX Has It Too 137 This is Nice: Edge HA A 138 Adding HA 139 Let's Do Routing Like We Always Do 140 Deploying the Edge Services Gateway 144 Configuring BGP 151 Configuring OSPF 154 Configuring Static Routes 155 Routing with the DLR and ESG 156 Using CLI Commands 156 Default Behaviors to Be Aware Of 157 Equal Cost Multi-Path Routing157 The Bottom Line 160
• Chapter 8 More NVF: NSX Edge Services Gateway 163 ESG Network Placement 163 Network Address Translation 164 Configuring Source NAT 166 Configuring Destination NAT 166 Configuring SNAT on the ESG 167 Configuring DNAT on the ESG 169 ESG Load Balancer 171 Configuring an ESG Load Balancer 173 Layer 2 VPN (If You Must) 178 Secure Sockets Layer Virtual Private Network 179 Split Tunneling 180 Configuring SSL VPN 180 Internet Protocol Security VPN 187 Understanding NAT Traversal 188 Configuring IPsec Site-to-Site VPN with the ESG 188 Round Up of Other Services 190 DHCP Service 191 Configuring the ESG as a DHCP Server 192 DHCP Relay 194 Configuring the DLR for DHCP Relay 196 DNS Relay 198 Configuring DNS Relay on the ESG 199 The Bottom Line 200
• Chapter 9 NSX Security, the Money Maker 203 Traditional Router ACL Firewall 203 I Told You about the IOChain 204 Slot 2: Distributed Firewall 206 Under the Hood 207 Adding DFW Rules 210 Segregating Firewall Rules 214 IP Discovery 215 Gratuitous ARP Used in ARP Poisoning Attacks 216 Why is My Traffic Getting Blocked? 218 Great, Now It's Being Allowed 219 Identity Firewall: Rules Based on Who Logs In 220 Distributing Firewall Rules to Each ESXi Host: What's Happening? 220 The Bottom Line 222
• Chapter 10 Service Composer and Third-Party Appliances 223 Security Groups 224 Dynamic Inclusion 225 Static Inclusion 226 Static Exclusion 226 Defining a Security Group through Static Inclusion 227 Defining a Security Group through Dynamic Inclusion 229 Customizing a Security Group with Static Exclusion 231 Defining a Security Group Using Security Tags 231 Adding to DFW Rules 233 Service Insertion 236 IOChain, the Gift that Keeps on Giving 236 Layer 7 Stuff: Network Introspection 236 Guest Introspection 237 Service Insertion Providers 238 Security Policies 239 Creating Policies 239 Enforcing Policies 243 The Bottom Line 245
• Chapter 11 vRealize Automation and REST APIs 247 vRealize Automation Features 247 vRA Editions 249 Integrating vRA and NSX 250 vRealize Automation Endpoints 250 Associating NSX Manager with vRealize Automation 252 Network Profiles 253 vRA External, Routed, and NAT Network Profiles 255 Reservations 258 vRealize Orchestrator Workflows 261 Creating a Blueprint for One Machine261 Adding NSX Workflow to a Blueprint 264 Creating a Request Service in the vRA Catalog 265 Configuring an Entitlement 268 Deploying a Blueprint that Consumes NSX Services 271 REST APIs 273 NSX REST API GET Request 275 NSX REST API POST Request 275 NSX REST API DELETE Request 276 The Bottom Line 277 Appendix The Bottom Line 279
• Chapter 1: Abstracting Network and Security 279
• Chapter 2: NSX Architecture and Requirements 280
• Chapter 3: Preparing NSX 280
• Chapter 4: Distributed Logical Switch 281
• Chapter 5: Marrying VLANs and VXLANs 283
• Chapter 6: Distributed Logical Router 284
• Chapter 7: NFV: Routing with NSX Edges 286
• Chapter 8: More NVF: NSX Edge Services Gateway 287
• Chapter 9: NSX Security, the Money Maker 289
• Chapter 10: Service Composer and Third-Party Appliances 290
• Chapter 11: vRealize Automation and REST APIs 291 Index 293.
• (source: Nielsen Book Data)

A clear, comprehensive guide to VMware's latest virtualization solution Mastering VMware NSX for vSphere is the ultimate guide to VMware's network security virtualization platform. Written by a rock star in the VMware community, this book offers invaluable guidance and crucial reference for every facet of NSX, with clear explanations that go far beyond the public documentation. Coverage includes NSX architecture, controllers, and edges; preparation and deployment; logical switches; VLANS and VXLANS; logical routers; virtualization; edge network services; firewall security; and much more to help you take full advantage of the platform's many features. More and more organizations are recognizing both the need for stronger network security and the powerful solution that is NSX; usage has doubled in the past year alone, and that trend is projected to grow-and these organizations need qualified professionals who know how to work effectively with the NSX platform. This book covers everything you need to know to exploit the platform's full functionality so you can: Step up security at the application level Automate security and networking services Streamline infrastructure for better continuity Improve compliance by isolating systems that handle sensitive data VMware's NSX provides advanced security tools at a lower cost than traditional networking. As server virtualization has already become a de facto standard in many circles, network virtualization will follow quickly-and NSX positions VMware in the lead the way vSphere won the servers. NSX allows you to boost security at a granular level, streamline compliance, and build a more robust defense against the sort of problems that make headlines. Mastering VMware NSX for vSphere helps you get up to speed quickly and put this powerful platform to work for your organization.
(source: Nielsen Book Data)