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• Table of Contents Prologue What is Cloud Computing? Governance and Change Management Design Considerations Business Drivers, Metrics and Use Cases Architecture Executive Decisions Architecting for Transition Basic Cloud Architectures Solution Reference Architectures Cloud Environment Key Tenets and Virtualization Cloud Clients and Key Cloud Services Operational Requirements CSP Performance Cloud Application Development Data Security Application Security Risk Management and Business Continuity Hand-On Lab - Basic Cloud Design (Single Server) Hands-On Lab - Advanced Cloud Design Insight Hands-On Lab 3 - Optimizing Current State (12 months later) Cloud Architecture Lessons Learned Epilogue.
• (source: Nielsen Book Data)

Accelerating Business and Mission Success with Cloud Computing. Key Features A step-by-step guide that will practically guide you through implementing Cloud computing services effectively and efficiently. Learn to choose the most ideal Cloud service model, and adopt appropriate Cloud design considerations for your organization. Leverage Cloud computing methodologies to successfully develop a cost-effective Cloud environment successfully. Book DescriptionCloud adoption is a core component of digital transformation. Scaling the IT environment, making it resilient, and reducing costs are what organizations want. Architecting Cloud Computing Solutions presents and explains critical Cloud solution design considerations and technology decisions required to choose and deploy the right Cloud service and deployment models, based on your business and technology service requirements. This book starts with the fundamentals of cloud computing and its architectural concepts. It then walks you through Cloud service models (IaaS, PaaS, and SaaS), deployment models (public, private, community, and hybrid) and implementation options (Enterprise, MSP, and CSP) to explain and describe the key considerations and challenges organizations face during cloud migration. Later, this book delves into how to leverage DevOps, Cloud-Native, and Serverless architectures in your Cloud environment and presents industry best practices for scaling your Cloud environment. Finally, this book addresses (in depth) managing essential cloud technology service components such as data storage, security controls, and disaster recovery. By the end of this book, you will have mastered all the design considerations and operational trades required to adopt Cloud services, no matter which cloud service provider you choose. What you will learn Manage changes in the digital transformation and cloud transition process Design and build architectures that support specific business cases Design, modify, and aggregate baseline cloud architectures Familiarize yourself with cloud application security and cloud computing security threats Design and architect small, medium, and large cloud computing solutions Who this book is forIf you are an IT Administrator, Cloud Architect, or a Solution Architect keen to benefit from cloud adoption for your organization, then this book is for you. Small business owners, managers, or consultants will also find this book useful. No prior knowledge of Cloud computing is needed.
(source: Nielsen Book Data)

• Table of Contents Server Hardware Server Internals Data Storage Server Operating Systems Addressing Cabling Server Administration Server Maintenance Virtualization Disaster Recovery Security Systems and Protocols Physical Security & Environmental Controls Logical Security Troubleshooting Methods Common Hardware Issues Common Software Issues Common Network Issues Common Storage Issues Common Security Issues.
• (source: Nielsen Book Data)

Master the concepts and techniques that will enable you to succeed on the SK0-004 exam the first time with the help of this study guide Key Features Explore virtualisation, IPv4 & IPv6 networking, administration and more Enhancing limited knowledge of server configuration and function A study guide that covers the objectives for the certification examination Book DescriptionCompTIA Server+ Certification is one of the top 5 IT certifications that is vendor neutral.System administrators opt for CompTIA server+ Certification to gain advanced knowledge of concepts including troubleshooting and networking. This book will initially start with the configuration of a basic network server and the configuration for each of its myriad roles. The next set of chapters will provide an overview of the responsibilities and tasks performed by a system administrator to manage and maintain a network server. Moving ahead, you will learn the basic security technologies, methods, and procedures that can be applied to a server and its network. Next, you will cover the troubleshooting procedures and methods in general, and specifically for hardware, software, networks, storage devices, and security applications. Toward the end of this book, we will cover a number of troubleshooting and security mitigation concepts for running admin servers with ease. This guide will be augmented by test questions and mock papers that will help you obtain the necessary certification. By the end of this book, you will be in a position to clear Server+ Certification with ease. What you will learn Understand the purpose and role of a server in a computer network Review computer hardware common to network servers Detail the function and configuration of network operating systems Describe the functions and tasks of network operating system administration Explain the various data storage options on a computer network Detail the need for, and the functioning and application of, network and server security Describe the operational elements of a network provided by a server Explain the processes and methods involved in troubleshooting server issues Who this book is forThis book is targeted towards professionals seeking to gain the CompTIA Server+ certification. People coming from a Microsoft background with basic operating system and networking skills will also find this book useful. Basic experience working with system administration is mandatory.
(source: Nielsen Book Data)

• Introduction
• What for Body Bias
• Design Examples: system and signal path
• Body Bias Voltage Generation and Infrastructure
• Conclusion.

This book discusses the advantages and challenges of Body-Biasing for integrated circuits and systems, together with the deployment of the design infrastructure needed to generate this Body-Bias voltage. These new design solutions enable state of the art energy efficiency and system flexibility for the latest applications, such as Internet of Things and 5G communications. Provides readers with a single-source reference to Body-Biasing Techniques for FDSOI Circuits and Systems; Describes integrated circuit design techniques specific to deep submicron Ultra Thin Body and Box Fully-Depleted Silicon on Insulator CMOS technology; Presents the first coherent collection of FDSOI specific design techniques, for applications ranging from analog, RF, mmW to SRAM design, embedded power management and energy efficient digital design.

• Table of Contents About Architectural and Design Patterns Client/Server Multi-Tier Architectural Patterns Object-oriented and Component-based Software Engineering Patterns Enterprise Integration Patterns Domain-driven Design (DDD) Enterprise Architecture Platforms and Tools Service-oriented Architecture (SOA) Event-driven architecture (EDA) Microservices Architecture (MSA) Patterns for Containerized and Highly Reliable Applications Software-defined Clouds: the Architecture and Design Patterns Big Data Architecture and Design Patterns.
• (source: Nielsen Book Data)

Learn the importance of architectural and design patterns in producing and sustaining next-generation IT and business-critical applications with this guide. Key Features Use patterns to tackle communication, integration, application structure, and more Implement modern design patterns such as microservices to build resilient and highly available applications Choose between the MVP, MVC, and MVVM patterns depending on the application being built Book Description Enterprise Architecture (EA) is typically an aggregate of the business, application, data, and infrastructure architectures of any forward-looking enterprise. Due to constant changes and rising complexities in the business and technology landscapes, producing sophisticated architectures is on the rise. Architectural patterns are gaining a lot of attention these days. The book is divided in three modules. You'll learn about the patterns associated with object-oriented, component-based, client-server, and cloud architectures. The second module covers Enterprise Application Integration (EAI) patterns and how they are architected using various tools and patterns. You will come across patterns for Service-Oriented Architecture (SOA), Event-Driven Architecture (EDA), Resource-Oriented Architecture (ROA), big data analytics architecture, and Microservices Architecture (MSA). The final module talks about advanced topics such as Docker containers, high performance, and reliable application architectures. The key takeaways include understanding what architectures are, why they're used, and how and where architecture, design, and integration patterns are being leveraged to build better and bigger systems. What you will learn Understand how several architectural and design patterns work to systematically develop multitier web, mobile, embedded, and cloud applications Learn object-oriented and component-based software engineering principles and patterns Explore the frameworks corresponding to various architectural patterns Implement domain-driven, test-driven, and behavior-driven methodologies Deploy key platforms and tools effectively to enable EA design and solutioning Implement various patterns designed for the cloud paradigm Who this book is for This book will empower and enrich IT architects (such as enterprise architects, software product architects, and solution and system architects), technical consultants, evangelists, and experts.
(source: Nielsen Book Data)

• Processors and circuits
• High performance computing
• GPUs and accelerators
• Cloud and data centers
• Energy and reliability
• Intelligence computing and mobile computing.

This book constitutes the refereed proceedings of the 11th Annual Conference on Advanced Computer Architecture, ACA 2016, held in Weihai, China, in August 2016. The 17 revised full papers presented were carefully reviewed and selected from 89 submissions. The papers address issues such as processors and circuits; high performance computing; GPUs and accelerators; cloud and data centers; energy and reliability; intelligence computing and mobile computing.

• Table of Contents Introduction to Big Data and Data SciencesDevOps
• Continuous Integration and DeliveryIntroduction to DevOpsAppendix A: DevOps Adoption by ERP SystemsContainers, IoT, and MicroservicesDevOps Continuous DeploymentAppendix E: Java Platform Standard Edition 8DevOps for Digital TransformationAppendix C: Business Intelligence TrendsAppendix D: Testing Types and LevelsCloud ComputingBuilding Big Data ApplicationsAppendix B: DevOps Periodic TableBig Data Hadoop EcosystemsDevOps Framework.

Transform yourself into a specialist in DevOps adoption for Big Data on cloud About This Book * Learn the concepts of Bigdata and Devops and Implement them * Get Acquainted with DevOps Frameworks Methodologies and Tools * A practical approach to build and work efficiently with your big data cluster * Get introduced to multiple flavors of tools and platforms from vendors on Hadoop, Cloud, Containers and IoT Offerings * In-Depth Technology understanding on Data Sciences, Microservices, Bigdata Who This Book Is For If you are a Big Data Architects, solutions provider, or any stakeholder working in big data environment and wants to implement the strategy of DevOps, then this book is for you. What You Will Learn * Learn about the DevOps culture, its frameworks, maturity, and design patterns * Get acquainted with multiple niche technologies microservices, containers, kubernetes, IoT, and cloud * Build big data clusters, enterprise applications and data science models * Apply DevOps concepts for continuous integration, delivery, deployment and monitoring * Get introduced to Open source tools, service offerings from multiple vendors * Start digital journey to apply DevOps concepts to migrate big data, cloud, microservices, IoT, security, ERP systems In Detail DevOps strategies have really become an important factor for big data environments. This book initially provides an introduction to big data, DevOps, and Cloud computing along with the need for DevOps strategies in big data environments. We move on to explore the adoption of DevOps frameworks and business scenarios. We then build a big data cluster, deploy it on the cloud, and explore DevOps activities such as CI/CD and containerization. Next, we cover big data concepts such as ETL for data sources, Hadoop clusters, and their applications. Towards the end of the book, we explore ERP applications useful for migrating to DevOps frameworks and examine a few case studies for migrating big data and prediction models. By the end of this book, you will have mastered implementing DevOps tools and strategies for your big data clusters. Style and approach A clear, concise, and straightforward book that will enable you to use and implement DevOps on big data to improve the efficiency.
(source: Nielsen Book Data)

• Table of Contents An Introduction toMicrosoft Azure Compute Design & Management Data Storage and Processing Networking Design & Management Availability Performance & Scalability Monitoring & Telemetry Resieliency Identity & Security.
• (source: Nielsen Book Data)

A hands-on guide to mastering Azure cloud design patterns and best practices. Key Features Master architectural design patterns in Azure. Get hands-on with implementing design patterns. Implement best practices for improving efficiency and security Book DescriptionA well designed cloud infrastructure covers factors such as consistency, maintenance, simplified administration and development, and reusability. Hence it is important to choose the right architectural pattern as it has a huge impact on the quality of cloud-hosted services. This book covers all Azure design patterns and functionalities to help you build your cloud infrastructure so it fits your system requirements. This book initially covers design patterns that are focused on factors such as availability and data management/monitoring. Then the focus shifts to complex design patterns such as multitasking, improving scalability, valet keys, and so on, with practical use cases. The book also supplies best practices to improve the security and performance of your cloud. By the end of this book, you will thoroughly be familiar with the different design and architectural patterns available with Windows Azure and capable of choosing the best pattern for your system. What you will learn Learn to organize Azure access Design the core areas of the Azure Execution Model Work with storage and data management Create a health endpoint monitoring pattern Automate early detection of anomalies Identify and secure Azure features Who this book is forThis book is targeted at cloud architects and cloud solution providers who are looking for an extensive guide to implementing different patterns for the deployment and maintenance of services in Microsoft Azure. Prior experience with Azure is required as the book is completely focused on design patterns.
(source: Nielsen Book Data)

• Introduction to Electrical 3D Integration
• Copper-based TSV
• Interposer
• Multi-TSV Crosstalk Channel Equalization with Non-Uniform Quantization
• Energy Efficient Electrical Intra-Chip Stack Communication
• Clock Generators for Heterogeneous MPSoCs within 3D Chip Stacks
• Energy Efficient Communications Employing 1-Bit Quantization at the Receiver
• 2-nm Laser Synthesized Si-Nanoparticles for Low Power Memory Applications
• Accurate Temperature Measurement for 3D Thermal Management
• EDA Environments for 3D Chip Stacks
• Integrating 3D Floorplanning and Optimization of Thermal Through-Silicon Vias
• Introduction to Optical Inter- and Intraconnects
• Optical Through-Silicon Vias
• Integrated Optical Devices for 3D Photonic Transceivers
• Cantilever Design for Tunable WDM Filters based on Silicon Microring Resonators
• Athermal photonic circuits for optical on-chip interconnects
• Integrated Circuits for 3D Photonic Transceivers
• Review of interdigitated back contacted full heterojunction solar cell (IBC-SHJ): a simulation approach.-

This book explains for readers how 3D chip stacks promise to increase the level of on-chip integration, and to design new heterogeneous semiconductor devices that combine chips of different integration technologies (incl. sensors) in a single package of the smallest possible size. The authors focus on heterogeneous 3D integration, addressing some of the most important challenges in this emerging technology, including contactless, optics-based, and carbon-nanotube-based 3D integration, as well as signal-integrity and thermal management issues in copper-based 3D integration. Coverage also includes the 3D heterogeneous integration of power sources, photonic devices, and non-volatile memories based on new materials systems." Provides single-source reference to the latest research in 3D optoelectronic integration: process, devices, and systems; " Explains the use of wireless 3D integration to improve 3D IC reliability and yield; " escribes techniques for monitoring and mitigating thermal behavior in 3D ICs; " includes discussion of 3D integration of high-density power sources and novel NVM

• Introduction
• Part I Cache Analysis for WCET Estimation
• MRU Cache Analysis for WCET Estimation
• FIFO Cache Analysis for WCET Estimation
• Part II Real-Time Scheduling on Multicores
• Analyzing Preemptive Global Scheduling
• Analyzing Non-preemptive Global Scheduling
• Liu & Layland's Utilization Bound
• Parametric Utilization Bounds
• Cache-Aware Scheduling
• Part III Real-Time Calculus
• Finitary Real-Time Calculus
• EDF in Real-Time Calculus.

This book describes state-of-the-art techniques for designing real-time computer systems. The author shows how to estimate precisely the effect of cache architecture on the execution time of a program, how to dispatch workload on multicore processors to optimize resources, while meeting deadline constraints, and how to use closed-form mathematical approaches to characterize highly variable workloads and their interaction in a networked environment. Readers will learn how to deal with unpredictable timing behaviors of computer systems on different levels of system granularity and abstraction. Introduces promising techniques for dealing with challenges associated with deploying real-time systems on multicore platforms; Provides a complete picture of building timing-predictable computer systems, at the program level, component level and system level; Leverages different levels of abstraction to deal with the complexity of the analysis.

• Preface; Contents; About the Editors; Part I Biochemical Sensing Mechanism and Devices; "C-chip" Platform for Electrical Biomolecular Sensors; 1 Introduction; Affinity Based Electrical Biochip; 1.1 General Introduction; 1.2 Sensor Characteristics of the Affinity-Based Electrical Biochip; 1.3 Challenges; 2 "C-chip" Platform; 2.1 Introduction; 2.2 Concentric Electrode; 2.3 Carbon Nanotube Network with the GNP (Gold Nano Particles); 2.4 Passivation of the CNN Defects; 2.5 Electrical Pulse Method: The SNU (Seoul National University) Approach; 3 Summary; Toward the General Immunoassay.

• 2 Printable Thin-Film Transistors3 Challenges for Low Operation Voltage Printable Transistors; 4 Fully Printable Low Voltage OTFTs; 5 Application Example for pH Sensing; 6 Summary; References; Part II Imaging, Photography, and Video Analytics; The Three-Dimensional Evolution of Hyperspectral Imaging; 1 Introduction; 2 Hyperspectral Imaging; 2.1 Bandpass Filter-Based Imaging Spectroscopy; 2.1.1 Bandpass Filter-Based Systems; 2.1.2 Liquid Crystal Tunable Filter-Based Systems; 2.2 Dispersion-Based Imaging Spectroscopy; 2.2.1 Pushbroom-Based Systems; 2.2.2 Snapshot-Based Systems.

• 2.2.3 Resolution of Dispersion-Based Systems2.3 Calibration of a Hyperspectral Imager; 2.3.1 Radiometric Calibration; 2.3.2 Geometric Calibration; 2.3.3 Color Transformation; 3 Hyperspectral Three-Dimensional Imaging; 3.1 3D Imaging Spectroscopy; 3.1.1 The Dispersion-Based Hyperspectral Imager; 3.1.2 3D System Integration; 3.1.3 Measuring 3D Hyperspectral Patterns; 3.2 Hyperspectral Photometric Stereo; 3.2.1 Photometric Stereo; 3.2.2 Combining Hyperspectral Imaging with Photometric Stereo; 3.2.3 Removing Interreflection; 3.2.4 Measuring a Shape with Hyperspectral Imaging.

• 3.3 Rendering Three-Dimensional Hyperspectral Data4 Conclusions; References; Computational Photography Using Programmable Aperture; 1 Introduction; 2 Related Work; 3 Optical Design and Implementation; 4 Optical Analysis and Experimental Evaluation; 4.1 Effective F-Number; 4.2 Field of View; 4.3 Light Efficiency; 4.4 Vignetting; 4.5 Transmission Fidelity; 4.6 Distortion; 4.7 PSF Evaluation; 5 Evaluation by Applications; 5.1 Programmable Aperture for Defocus Deblurring; 5.2 Programmable Aperture for Depth from Defocus; 5.3 Programmable Aperture for Light Field Acquisition.

This book describes for readers technology used for effective sensing of our physical world and intelligent processing techniques for sensed information, which are essential to the success of Internet of Things (IoTs). The authors provide a multidisciplinary view of sensor technology from MEMS, biological, chemical, and electrical domains and showcase smart sensor systems in real applications including smart home, transportation, medical, environmental, agricultural, etc.℗ℓ Unlike earlier books on sensors, this book will provide a global view on smart sensors covering abstraction levels from device, circuit, systems, and algorithms.

• Introduction
• Network On Chip Aspects
• Interconnection
• Process Variation
• Synchronous And Asynchronous NoC Design Under High Process Variation
• Novel Routing Algorithm
• Simulation Results
• Conclusions.

This book describes in detail the impact of process variations on Network-on-Chip (NoC) performance. The authors evaluate various NoC topologies under high process variation and explain the design of efficient NoCs, with advanced technologies. The discussion includes variation in logic and interconnect, in order to evaluate the delay and throughput variation with different NoC topologies. The authors describe an asynchronous router, as a robust design to mitigate the impact of process variation in NoCs and the performance of different routing algorithms is determined with/without process variation for various traffic patterns. Additionally, a novel Process variation Delay and Congestion aware Routing algorithm (PDCR) is described for asynchronous NoC design, which outperforms different adaptive routing algorithms in the average delay and saturation throughput for various traffic patterns. Demonstrates the impact of process variation on Networks-on-Chip of different topologies; Includes an overview of the synchronous clocking scheme, clock distribution network, main building blocks in asynchronous NoC design, handshake protocols, data encoding, asynchronous protocol converters and routing algorithms; Describes a novel adaptive routing algorithm for asynchronous NoC designs, which selects the appr opriate output path based on process variation and congestion.

• Introduction.- State of the art: near threshold computing.- Software requirements for NTC.- Hardware recuirements for NTC.- Applications: Ultra low power sensors, Server, mobile phones.- Outlook.
• (source: Nielsen Book Data)

This book explores near-threshold computing (NTC), a design-space using techniques to run digital chips (processors) near the lowest possible voltage. Readers will be enabled with specific techniques to design chips that are extremely robust; tolerating variability and resilient against errors. Variability-aware voltage and frequency allocation schemes will be presented that will provide performance guarantees, when moving toward near-threshold manycore chips. * Provides an introduction to near-threshold computing, enabling reader with a variety of tools to face the challenges of the power/utilization wall; * Demonstrates how to design efficient voltage regulation, so that each region of the chip can operate at the most efficient voltage and frequency point; * Investigates how performance guarantees can be ensured when moving towards NTC manycores through variability-aware voltage and frequency allocation schemes.
(source: Nielsen Book Data)

• Table of Contents Introducing OpenStack Architecting the Cloud Planning for Failure and Success Building the Deployment Pipeline Building to Operate Integrating the Platform Securing the Cloud OpenStack Use Cases Containers Conclusion.
• (source: Nielsen Book Data)

Implement successful private clouds with OpenStack Key Features Gain hands-on experience in designing a private cloud for all infrastructures Create a robust virtual environment for your organization Design, implement and deploy an OpenStack-based cloud based on the Queens release Book DescriptionOver the past six years, hundreds of organizations have successfully implemented Infrastructure as a Service (IaaS) platforms based on OpenStack. The huge amount of investment from these organizations, including industry giants such as IBM and HP, as well as open source leaders, such as Red Hat, Canonical, and SUSE, has led analysts to label OpenStack as the most important open source technology since the Linux operating system. Due to its ambitious scope, OpenStack is a complex and fast-evolving open source project that requires a diverse skill set to design and implement it. OpenStack for Architects leads you through the major decision points that you'll face while architecting an OpenStack private cloud for your organization. This book will address the recent changes made in the latest OpenStack release i.e Queens, and will also deal with advanced concepts such as containerization, NVF, and security. At each point, the authors offer you advice based on the experience they've gained from designing and leading successful OpenStack projects in a wide range of industries. Each chapter also includes lab material that gives you a chance to install and configure the technologies used to build production-quality OpenStack clouds. Most importantly, the book focuses on ensuring that your OpenStack project meets the needs of your organization, which will guarantee a successful rollout. What you will learn Learn the overall structure of an OpenStack deployment Craft an OpenStack deployment process which fits within your organization Apply Agile Development methodologies to engineer and operate OpenStack clouds Build a product roadmap for Infrastructure as a Service based on OpenStack Make use of containers to increase the manageability and resiliency of applications running in and on OpenStack. Use enterprise security guidelines for your OpenStack deployment Who this book is forOpenStack for Architects is for Cloud architects who are responsible to design and implement a private cloud with OpenStack. System engineers and enterprise architects will also find this book useful. Basic understanding of core OpenStack services, as well as some working experience of concepts, is recommended.
(source: Nielsen Book Data)

• Table of Contents An Introduction toMicrosoft Azure Compute Design & Management Data Storage and Processing Networking Design & Management Availability Performance & Scalability Monitoring & Telemetry Resieliency Identity & Security.
• (source: Nielsen Book Data)

A hands-on guide to mastering Azure cloud design patterns and best practices. Key Features Master architectural design patterns in Azure. Get hands-on with implementing design patterns. Implement best practices for improving efficiency and security Book DescriptionA well designed cloud infrastructure covers factors such as consistency, maintenance, simplified administration and development, and reusability. Hence it is important to choose the right architectural pattern as it has a huge impact on the quality of cloud-hosted services. This book covers all Azure design patterns and functionalities to help you build your cloud infrastructure so it fits your system requirements. This book initially covers design patterns that are focused on factors such as availability and data management/monitoring. Then the focus shifts to complex design patterns such as multitasking, improving scalability, valet keys, and so on, with practical use cases. The book also supplies best practices to improve the security and performance of your cloud. By the end of this book, you will thoroughly be familiar with the different design and architectural patterns available with Windows Azure and capable of choosing the best pattern for your system. What you will learn Learn to organize Azure access Design the core areas of the Azure Execution Model Work with storage and data management Create a health endpoint monitoring pattern Automate early detection of anomalies Identify and secure Azure features Who this book is forThis book is targeted at cloud architects and cloud solution providers who are looking for an extensive guide to implementing different patterns for the deployment and maintenance of services in Microsoft Azure. Prior experience with Azure is required as the book is completely focused on design patterns.
(source: Nielsen Book Data)

• Table of Contents Introducing Hybrid Cloud Hybrid Cloud - Why Does It Matter? Hybrid Cloud Building Blocks Architecting the Underpinning Services Hybrid Cloud Deployment - Architecture & Preparation Building a Traditional CMP-Based Hybrid Cloud Building a Containerized Hybrid Cloud Using pre-built Hybrid Cloud Solutions DevOps in the Hybrid Cloud Monitoring the Hybrid Cloud Security in a Hybrid Cloud.
• (source: Nielsen Book Data)

Build your own hybrid cloud strategy with this comprehensive learning guide. Key Features Build a hybrid cloud strategy for your organization with AWS and OpenStack Leverage Hybrid Cloud to design a complex deployment pipeline Learn to implement security and monitoring best practices with real-world examples Book DescriptionHybrid cloud is currently the buzz word in the cloud world. Organizations are planning to adopt hybrid cloud strategy due to its advantages such as untested workloads, cloud-bursting, cloud service brokering and so on. This book will help you understand the dynamics, design principles, and deployment strategies of a Hybrid Cloud. You will start by understanding the concepts of hybrid cloud and the problems it solves as compared to a stand-alone public and private cloud. You will be delving into the different architecture and design of hybrid cloud. The book will then cover advanced concepts such as building a deployment pipeline, containerization strategy, and data storage mechanism. Next up, you will be able to deploy an external CMP to run a Hybrid cloud and integrate it with your OpenStack and AWS environments. You will also understand the strategy for designing a Hybrid Cloud using containerization and work with pre-built solutions like vCloud Air, VMware for AWS, and Azure Stack. Finally, the book will cover security and monitoring related best practices that will help you secure your cloud infrastructure. By the end of the book, you will be in a position to build a hybrid cloud strategy for your organization. What you will learn Learn the demographics and definitions of Hybrid Cloud Understand the different architecture and design of Hybrid Cloud Explore multi-cloud strategy and use it with your hybrid cloud Implement a Hybrid Cloud using CMP / Common API's Implement a Hybrid Cloud using Containers Overcome various challenges and issues while working with your Hybrid Cloud Understand how to monitor your Hybrid Cloud Discover the security implications in the Hybrid Cloud Who this book is forThis book is targeted at cloud architects, cloud solution providers, DevOps engineers, or any working stakeholder who wants to learn about the hybrid cloud architecture. A basic understanding of public and private cloud is desirable.
(source: Nielsen Book Data)

• Introduction
• Digital Hardware Platforms
• Digital Baseband Processing
• The Reconfigurable Cell Array
• Multi-standard Digital Front-End Processing
• Multi-task MIMO Signal Processing
• Future Multi-user MIMO systems
• A Discussion
• Conclusion.-

This book focuses on domain-specific heterogeneous reconfigurable architectures, demonstrating for readers a computing platform which is flexible enough to support multiple standards, multiple modes, and multiple algorithms. The content is multi-disciplinary, covering areas of wireless communication, computing architecture, and circuit design. The platform described provides real-time processing capability with reasonable implementation cost, achieving balanced trade-offs among flexibility, performance, and hardware costs. The authors discuss efficient design methods for wireless communication processing platforms, from both an algorithm and architecture design perspective. Coverage also includes computing platforms for different wireless technologies and standards, including MIMO, OFDM, Massive MIMO, DVB, WLAN, LTE/LTE-A, and 5G.?Discusses reconfigurable architectures, including hardware building blocks such as processing elements, memory sub-systems, Network-on-Chip (NoC), and dynamic hardware reconfiguration; ?Describes a unique design and optimization methodology, applied to different areas and levels, including communication theory, hardware implementation, and software support; ?Demonstrates design trade-offs during different development phases and enables readers to apply similar techniques to various applications.

• Chapter 1: Getting Ready Chapter Goal: This chapter offers shopping guide and introduction to all major hardware components and downloading guidance to software we'll be using throughout the book. No of pages 20 Sub -Topics 1. Arduino 1. Arduino UNO and Genuino 2. Arduino Ethernet 1. Ethernet Shield 2. Ethernet Board 3. Arduino WiFi 1. Sparkfun WiFi shield 2. Grove Base Shield v2 (http://wiki.seeedstudio.com/wiki/Grove_-_Base_shield_v2) 3. Arduino 4 Relay shield (http://www.arduino.org/products/shields/arduino-4-relaysshield) 4. Seeedstudio Relay Shield (http://wiki.seeedstudio.com/wiki/Relay_Shield_v3.0) 5. PlcLib
• Chapter 2: Arduino, Ethernet and WiFi Chapter Goal: In this chapter you'll learn Arduino basics and Arduino communication shields such as Arduino Ethernet and WiFi shields. No of pages 30 Sub -Topics 1. Arduino UNO and Genuino 2. Arduino Ethernet 1. Ethernet Shield 2. Ethernet Board 3. Arduino WiFi DocuSign Envelope ID: ADD42D3E-95C9-4F5A-BB5A-E03D26434A0A 10 233 Spring Street, 3rd Fl., New York, NY 10013
• (source: Nielsen Book Data)

Learn the fundamentals of PLCs and how to control them using Arduino software to create your first Arduino PLC. You will learn how to draw Ladder Logic diagrams to represent PLC designs for a wide variety of automated applications and to convert the diagrams to Arduino sketches. A comprehensive shopping guide includes the hardware and software components you need in your tool box. You will learn to use Arduino UNO, Arduino Ethernet shield, and Arduino WiFi shield. Building Arduino PLCs shows you how to build and test a simple Arduino UNO-based 5V DC logic level PLC with Grove Base shield by connecting simple sensors and actuators. You will also learn how to build industry-grade PLCs with the help of ArduiBox. What You'll Learn Build ModBus-enabled PLCs Map Arduino PLCs into the cloud using NearBus cloud connector to control the PLC through the Internet Use do-it-yourself light platforms such as IFTTT Enhance your PLC by adding Relay shields for connecting heavy loads Who This Book Is For Engineers, designers, crafters, and makers. Basic knowledge in electronics and Arduino programming or any other programming language is recommended.
(source: Nielsen Book Data)

• Theory and Background.- Control Problem and Proposed Method.- Simulation Results.- Conclusions.
• (source: Nielsen Book Data)

This book focuses on the fields of fuzzy logic, granular computing and also considering the control area. These areas can work together to solve various control problems, the idea is that this combination of areas would enable even more complex problem solving and better results. In this book we test the proposed method using two benchmark problems: the total flight control and the problem of water level control for a 3 tank system. When fuzzy logic is used it make it easy to performed the simulations, these fuzzy systems help to model the behavior of a real systems, using the fuzzy systems fuzzy rules are generated and with this can generate the behavior of any variable depending on the inputs and linguistic value. For this reason this work considers the proposed architecture using fuzzy systems and with this improve the behavior of the complex control problems.
(source: Nielsen Book Data)

• 1. Introduction
• 2. Smart Electronic Systems: An Overview
• 3. Design domains and abstraction levels for effective smart system simulation
• 4. Energy-Efficient Digital Processing via Approximate Computing
• 5. Discrete Power Devices and Power Modules
• 6. MEMS System-Level Modeling and Simulation in Smart Systems
• 7. Modeling and Simulation of the Power Flow in Smart Systems
• 8. Smart system case studies.

This book-presents new methods and tools for the integration and simulation of smart devices. The design approach described in this book explicitly accounts for integration of Smart Systems components and subsystems as a specific constraint. It includes methodologies and EDA tools to enable multi-disciplinary and multi-scale modeling and design, simulation of multi-domain systems, subsystems and components at all levels of abstraction, system integration and exploration for optimization of functional and non-functional metrics. By covering theoretical and practical aspects of smart device design, this book targets people who are working and studying on hardware/software modelling, component integration and simulation under different positions (system integrators, designers, developers, researchers, teachers, students etc.). In particular, it is a good introduction to people who have interest in managing heterogeneous components in an efficient and effective way on different domains and different abstraction levels. People active in smart device development can understand both the current status of practice and future research directions. Provides a comprehensive overview of smart systems design, focusing on design challenges and cutting-edge solutions; Enables development of a co-simulation and co-design environment that accounts for the peculiarities of the basic subsystems and components to be integrated; Describes development of modeling and design techniques, methods and tools that enable multi-domain simulation and optimization at various levels of abstraction and across different technological domains.

• Table of Contents The Serverless Landscape An Introduction to Kubernetes Installing Kubernetes Locally Introducing Kubeless Functioning Using Funktion for Serverless Applications Installing Kubernetes in the Cloud Apache OpenWhisk and Kubernetes Launching Applications Using Fission Looking at OpenFaaS Serverless Considerations Running Serverless Workloads.
• (source: Nielsen Book Data)

Transform yourself into a Kubernetes specialist in serverless applications. Key Features Get hands-on experience in installing, configuring, and using services such as Kubeless, Funktion, OpenWhisk, and Fission Learn how to launch Kubernetes both locally and in public clouds Explore the differences between using services such as AWS Lambda and Azure Functions and running your own Book DescriptionKubernetes has established itself as the standard platform for container management, orchestration, and deployment. It has been adopted by companies such as Google, its original developers, and Microsoft as an integral part of their public cloud platforms, so that you can develop for Kubernetes and not worry about being locked into a single vendor. This book will initially start by introducing serverless functions. Then you will configure tools such as Minikube to run Kubernetes. Once you are up-and-running, you will install and configure Kubeless, your first step towards running Function as a Service (FaaS) on Kubernetes. Then you will gradually move towards running Fission, a framework used for managing serverless functions on Kubernetes environments. Towards the end of the book, you will also work with Kubernetes functions on public and private clouds. By the end of this book, we will have mastered using Function as a Service on Kubernetes environments. What you will learn Get a detailed analysis of serverless/Functions as a Service Get hands-on with installing and running tasks in Kubernetes using Minikube Install Kubeless locally and launch your first function Launch Kubernetes in the cloud and move your applications between your local machine and your cloud cluster Deploy applications on Kubernetes using Apache OpenWhisk Explore topics such as Funktion and Fission installation on the cloud followed by launching applications Monitor a serverless function and master security best practices and Kubernetes use cases Who this book is forIf you are a DevOps engineer, cloud architect, or a stakeholder keen to learn about serverless functions in Kubernetes environments, then this book is for you.
(source: Nielsen Book Data)