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• List of Figures xiii
• List of Tables xxi
• Acknowledgements xxiii
• Preface xxv
• References xxviii
• 1 Introduction to Dependable Distributed Computing 1 1.1 Basic Concepts and Terminologies 2
• 1.2 Means to Achieve Dependability 9
• References 13
• 2 Logging and Checkpointing 15 2.1 System Model 16
• 2.2 Checkpoint-Based Protocols 21
• 2.3 Log Based Protocols 34
• References 54
• 3 Recovery-Oriented Computing 57 3.1 System Model 59
• 3.2 Fault Detection and Localization 62
• 3.3 Microreboot 83
• 3.4 Overcoming Operator Errors 87
• References 93
• 4 Data and Service Replication 97
• 4.1 Service Replication 99
• 4.2 Data Replication 105
• 4.3 Optimistic Replication 111
• 4.4 CAP Theorem 131
• References 138
• 5 Group Communication Systems 141 5.1 System Model 143
• 5.2 Sequencer Based Group Communication System 146
• 5.3 Sender Based Group Communication System 160
• 5.4 Vector Clock Based Group Communication System 186
• References 191
• 6 Consensus and the Paxos Algorithms 193 6.1 The Consensus Problem
• 6.2 The Paxos Algorithm 196
• 6.3 Multi-Paxos 206
• 6.4 Dynamic Paxos 210
• 6.5 Fast Paxos 221
• 6.6 Implementations of the Paxos Family Algorithms 229
• References 236
• 7 Byzantine Fault Tolerance 239 7.1 The Byzantine Generals Problem 240
• 7.2 Practical Byzantine Fault Tolerance 255
• 7.3 Fast Byzantine Agreement 271
• 7.4 Speculative Byzantine Fault Tolerance 271
• References 284.
• (source: Nielsen Book Data)

A one-volume guide to the most essential techniques for designing and building dependable distributed systems Instead of covering a broad range of research works for each dependability strategy, this useful reference focuses on only a selected few (usually the most seminal works, the most practical approaches, or the first publication of each approach), explaining each in depth, usually with a comprehensive set of examples. Each technique is dissected thoroughly enough so that readers who are not familiar with dependable distributed computing can actually grasp the technique after studying the book. Building Dependable Distributed Systems consists of eight chapters. The first introduces the basic concepts and terminology of dependable distributed computing, and also provides an overview of the primary means of achieving dependability. Checkpointing and logging mechanisms, which are the most commonly used means of achieving limited degree of fault tolerance, are described in the second chapter. Works on recovery-oriented computing, focusing on the practical techniques that reduce the fault detection and recovery times for Internet-based applications, are covered in chapter three. Chapter four outlines the replication techniques for data and service fault tolerance. This chapter also pays particular attention to optimistic replication and the CAP theorem. Chapter five explains a few seminal works on group communication systems. Chapter six introduces the distributed consensus problem and covers a number of Paxos family algorithms in depth. The Byzantine generals problem and its latest solutions, including the seminal Practical Byzantine Fault Tolerance (PBFT) algorithm and a number of its derivatives, are introduced in chapter seven. The final chapter details the latest research results surrounding application-aware Byzantine fault tolerance, which represents an important step forward in the practical use of Byzantine fault tolerance techniques. Readership The primary market is networked and distributed computing system designers and developers, software architects, senior software engineers, and technical managers. The book will also prove very useful for upper-level undergraduate and graduate students in computer science and computer engineering interested in dependable computing research.
(source: Nielsen Book Data)
This book covers the most essential techniques for designing and building dependable distributed systems. Instead of covering a broad range of research works for each dependability strategy, the book focuses only a selected few (usually the most seminal works, the most practical approaches, or the first publication of each approach) are included and explained in depth, usually with a comprehensive set of examples. The goal is to dissect each technique thoroughly so that readers who are not familiar with dependable distributed computing can actually grasp the technique after studying the book. The book contains eight chapters. The first chapter introduces the basic concepts and terminologies of dependable distributed computing, and also provide an overview of the primary means for achieving dependability. The second chapter describes in detail the checkpointing and logging mechanisms, which are the most commonly used means to achieve limited degree of fault tolerance. Such mechanisms also serve as the foundation for more sophisticated dependability solutions. Chapter three covers the works on recovery-oriented computing, which focus on the practical techniques that reduce the fault detection and recovery times for Internet-based applications. Chapter four outlines the replication techniques for data and service fault tolerance. This chapter also pays particular attention to optimistic replication and the CAP theorem. Chapter five explains a few seminal works on group communication systems. Chapter six introduces the distributed consensus problem and covers a number of Paxos family algorithms in depth. Chapter seven introduces the Byzantine generals problem and its latest solutions, including the seminal Practical Byzantine Fault Tolerance (PBFT) algorithm and a number of its derivatives. The final chapter covers the latest research results on application-aware Byzantine fault tolerance, which is an important step forward towards practical use of Byzantine fault tolerance techniques.
(source: Nielsen Book Data)

• 1. Introduction
• 2. What Makes up a Cloud
• 3. Cloud Deployment Models
• 4. Cloud Services Models
• 5. Making the Decision.
• (source: Nielsen Book Data)

As part of the Syngress Basics series, The Basics of Cloud Computing provides readers with an overview of the cloud and how to implement cloud computing in their organizations. Cloud computing continues to grow in popularity, and while many people hear the term and use it in conversation, many are confused by it or unaware of what it really means. This book helps readers understand what the cloud is and how to work with it, even if it isn't a part of their day-to-day responsibility. Authors Derrick Rountree and Ileana Castrillo explains the concepts of cloud computing in practical terms, helping readers understand how to leverage cloud services and provide value to their businesses through moving information to the cloud. The book will be presented as an introduction to the cloud, and reference will be made in the introduction to other Syngress cloud titles for readers who want to delve more deeply into the topic. This book gives readers a conceptual understanding and a framework for moving forward with cloud computing, as opposed to competing and related titles, which seek to be comprehensive guides to the cloud.
(source: Nielsen Book Data)

• Foreword 9
• Chapter 1. Introduction 13 Serge HADDAD, Fabrice KORDON, Laurent PAUTET and Laure PETRUCCI FIRST PART. LARGE SCALE PEER-TO-PEER DISTRIBUTED SYSTEMS 19
• Chapter 2. Introduction to Large-Scale Peer-to-Peer Distributed Systems 21 Fabrice KORDON 2.1. Large-Scale distributed systems? 21 2.2. Consequences of large-scale 22 2.3. Some large-scale distributed systems 23 2.4. Architectures of large scale distributed systems 26 2.5. Objective of
• Part 1 30 2.6. Bibliography 31
• Chapter 3. Design Principles of Large-Scale Distributed System 33 Xavier BONNAIRE and Pierre SENS 3.1. Introduction to peer-to-peer systems 33 3.2. The peer-to-peer paradigms 34 3.3. Services on structured overlays 41 3.4. Building trust in P2Psystems 43 3.5. Conclusion 52 3.6. Bibliography 53
• Chapter 4. Peer-to-Peer Storage 59 Olivier MARIN, Sebastien MONNET and Gael THOMAS 4.1. Introduction 59 4.2. BitTorrent 60 4.3. Gnutella 66 4.4. Conclusion 79 4.5. Bibliography 79
• Chapter 5. Large-Scale Peer-to-Peer Game Applications 81 Sebastien MONNET and Gael THOMAS 5.1. Introduction 81 5.2. Large-scale game applications: model and specific requirements 83 5.3. Overview of peer-to-peer overlays for large-scale game applications 90 5.4. Overlays for FPS games 93 5.5. Overlays for online life-simulation games 95 5.6. Conclusion 100 5.7. Bibliography 101 SECOND PART. DISTRIBUTED, EMBEDDED AND REAL-TIME SYSTEMS 105
• Chapter 6. Introduction to Distributed Embedded and Real-time Systems 107 Laurent PAUTET 6.1. Distributed real-time embedded systems 108 6.2. Safety critical systems as examples of DRE systems 109 6.3. Design process of DRE systems 112 6.4. Objectives of
• Part 2 114 6.5. Bibliography 115
• Chapter 7. Scheduling in Distributed Real-Time Systems 117 Emmanuel GROLLEAU, Michael RICHARD, and Pascal RICHARD 7.1. Introduction 117 7.2. Generalities about real-time systems 118 7.3. Temporal correctness 122 7.4. WCRT of the tasks 126 7.5. WCRT of the messages 142 7.6. Case study 149 7.7. Conclusion 154 7.8. Bibliography 155
• Chapter 8. Software Engineering for Adaptative Embedded Systems 159 Etienne BORDE 8.1. Introduction 159 8.2. Adaptation, an additional complexity factor 160 8.3. Theoretical aspects of adaptation management 163 8.4. Technical solutions for the design of adaptative embedded systems 171 8.5. An example of adaptative system from the robotic domain 176 8.6. Applying MDE techniques to the design of the robotic use-case 177 8.7. Exploitation of the models 184 8.8. Conclusion 188 8.9. Bibliography 189
• Chapter 9. The Design of Aerospace Systems 191 Maxime PERROTIN, Julien DELANGE, and Jerome HUGUES 9.1. Introduction 191 9.2. Flight software typical architecture 193 9.3. Traditional development methods and their limits 195 9.4. Modeling a software system using TASTE: philosophy 197 9.5. Common solutions 199 9.6. What TASTE specifically proposes 200 9.7. Modeling process and tools 201 9.8. Technology 208 9.9. Model transformations 209 9.10. The TASTE run-time 213 9.11. Illustrating our process by designing heterogeneous systems 215 9.12. First user feedback and TASTE future 224 9.13. Conclusion 225 9.14. Bibliography 226 THIRD PART. SECURITY IN DISTRIBUTED SYSTEMS 229
• Chapter 10. Introduction to Security Issues in Distributed Systems 231 Laure PETRUCCI 10.1. Problem 231 10.2. Secure data exchange 233 10.3. Security in specific distributed systems 234 10.4. Outline of art III 234 10.5. Bibliography 235
• Chapter 11. Practical Security in Distributed Systems 237 Benoit BERTHOLON, Christophe CERIN, Camille COTI, and Sebastien VARRETTE, Jean-Christophe DUBACQ 11.1. Introduction 237 11.2. Confidentiality 249 11.3. Authentication 252 11.4. Availability and fault tolerance 261 11.5. Ensuring resource security 278 11.6. Result checking in distributed computations 283 11.7. Conclusion 291 11.8. Bibliography 292
• Chapter 12. Enforcing Security with Cryptography 301 Sami HARARI and Laurent POINSOT 12.1. Introduction 301 12.2. Cryptography: from a general perspective 303 12.3. Symmetric encryption schemes 308 12.4. Prime numbers and public key cryptography 324 12.5. Conclusion 328 12.6. Bibliography 329 Index 333.
• (source: Nielsen Book Data)

In today s digital environment, distributed systems are increasingly present in a wide variety of environments, ranging from public software applications to critical systems. Distributed Systems introduces the underlying concepts, the associated design techniques and the related security issues. Distributed Systems: Design and Algorithms, is dedicated to engineers, students, and anyone familiar with algorithms and programming, who want to know more about distributed systems. These systems are characterized by: several components with one or more threads, possibly running on different processors; asynchronous communications with possible additional assumptions (reliability, order preserving, etc.); local views for every component and no shared data between components. This title presents distributed systems from a point of view dedicated to their design and their main principles: the main algorithms are described and placed in their application context, i.e. consistency management and the way they are used in distributed file-systems.
(source: Nielsen Book Data)

• Chapter 1. Power Allocation and Task Scheduling on Multiprocessor Computers with Energy and Time Constraints
• Chapter 2. Power-Aware High Performance Computing
• Chapter 3. Energy Efficiency in HPC Systems
• Chapter 4. A Stochastic Framework for Hierarchical System-Level Power Management
• Chapter 5. Energy-Efficient Reservation Infrastructure for Grids, Clouds, and Networks
• Chapter 6. Energy-Efficient Job Placement on Clusters, Grids, and Clouds
• Chapter 7. Comparison and Analysis of Greedy Energy-Efficient Scheduling Algorithms for Computational Grids
• Chapter 8. Toward Energy-Aware Scheduling Using Machine Learning
• Chapter 9. Energy Efficiency Metrics for DATA Centers
• Chapter 10. Autonomic Green Computing in Large-Scale Data Centers
• Chapter 11. Energy and Thermal Aware Scheduling in Data Centers
• Chapter 12. QOS-Aware Power Management in Data Centers
• Chapter 13. Energy-Efficient Storage Systems for Data Centers
• Chapter 14. Autonomic Energy/Performance Optimizations for Memory in Servers
• Chapter 15. ROD: A Practical Approach to Improving Reliability of Enegery-Efficient Parallel Disk Systems
• Chapter 16. Embracing the Memory and I/O Walls for Energy-Efficient Scientific Computing
• Chapter 17. Multiple Frequency Selection in DVFS-Enabled Processors to Minimize Energy Consumption
• Chapter 18. The Paramountcy of Reconfigurable Computing
• Chapter 19. Workload Clustering for Increasing Energy Savings on Embedded MPSOCS
• Chapter 20. Energy-Efficient Internet Infrastructure
• Chapter 21. Demand Response in the Smart Grid: A Distributed Computing Perspective
• Chapter 22. Resource Management for Distributed Mobile Computing
• Chapter 23. An Energy-Aware Framework for Mobile Data Mining
• Chapter 24. Energy Awareness and Efficiency in Wireless Sensor Networks: From Physical Devices to the Communication Link
• Chapter 25. Network-Wide Strategies for Enrgy Efficiency in Wireless Sensor Networks
• Chapter 26. Energy Management in Heterogeneous Wireless Health Care Networks.

The energy consumption issue in distributed computing systemsraises various monetary, environmental and system performanceconcerns. Electricity consumption in the US doubled from 2000to 2005. From a financial and environmental standpoint, reducing the consumption of electricity is important, yet thesereforms must not lead to performance degradation of the computingsystems. These contradicting constraints create a suite ofcomplex problems that need to be resolved in order to lead to'greener' distributed computing systems. This book bringstogether a group of outstanding researchers that investigate thedifferent facets of green and energy efficient distributedcomputing. Key features: * One of the first books of its kind * Features latest research findings on emerging topics bywell-known scientists * Valuable research for grad students, postdocs, andresearchers * Research will greatly feed into other technologies andapplication domains.
(source: Nielsen Book Data)

• Cover; Copyright; Credits; About the Author; About the Reviewer; www.PacktPub.com; Customer Feedback; Table of Contents; Preface;
• Chapter 1: Configuring HBase ; Introduction; Configuring and deploying HBase ; Using the filesystem; Administering clusters; Managing clusters;
• Chapter 2: Loading Data from Various DBs; Introduction; Extracting data from Oracle; Loading data using Oracle Big data connector; Bulk utilities; Using Hive with Apache HBase; Using Sqoop;
• Chapter 3: Working with Large Distributed Systems Part I; Introduction.

• Scaling elastically or Auto Scaling with built-in fault toleranceAuto Scaling HBase using AWS; Works on different VM/physical, cloud hardware;
• Chapter 4: Working with Large Distributed Systems Part II; Introduction; Read path; Write Path; Snappy; LZO compression; LZ4 compressor; Replication;
• Chapter 5: Working with Scalable Structure of tables; Introduction; HBase data model part 1; HBase data model
• part 2 ; How HBase truly scales on key and schema design;
• Chapter 6: HBase Clients; Introduction; HBase REST and Java Client; Working with Apache Thrift; Working with Apache Avro.

• Working with Protocol bufferWorking with Pig and using Shell;
• Chapter 7: Large-Scale MapReduce; Introduction;
• Chapter 8: HBase Performance Tuning; Introduction; Working with infrastructure/operating systems; Working with Java virtual machines; Changing the configuration of components; Working with HDFS;
• Chapter 9: Performing Advanced Tasks on Hbase; Machine learning using Hbase; Real-time data analysis using Hbase and Mahout; Full text indexing using Hbase;
• Chapter 10: Optimizing Hbase for Cloud; Introduction; Configuring Hbase for the Cloud.

• Connecting to an Hbase cluster using the command lineBacking up and restoring Hbase; Terminating an HBase cluster; Accessing HBase data with hive; Viewing the Hbase user interface; Monitoring HBase with CloudWatch; Monitoring Hbase with Ganglia;
• Chapter 11: Case Study; Introduction; Configuring Lily Platform; Integrating elastic search with Hbase ; Configuring; Index.

Exciting projects that will teach you how complex data can be exploited to gain maximum insights About This Book * Architect a good HBase cluster for a very large distributed system * Get to grips with the concepts of performance tuning with HBase * A practical guide full of engaging recipes and attractive screenshots to enhance your system's performance Who This Book Is For This book is intended for developers and architects who want to know all about HBase at a hands-on level. This book is also for big data enthusiasts and database developers who have worked with other NoSQL databases and now want to explore HBase as another futuristic scalable database solution in the big data space. What You Will Learn * Configure HBase from a high performance perspective * Grab data from various RDBMS/Flat files into the HBASE systems * Understand table design and perform CRUD operations * Find out how the communication between the client and server happens in HBase * Grasp when to use and avoid MapReduce and how to perform various tasks with it * Get to know the concepts of scaling with HBase through practical examples * Set up Hbase in the Cloud for a small scale environment * Integrate HBase with other tools including ElasticSearch In Detail Apache HBase is a non-relational NoSQL database management system that runs on top of HDFS. It is an open source, disturbed, versioned, column-oriented store and is written in Java to provide random real-time access to big Data. We'll start off by ensuring you have a solid understanding the basics of HBase, followed by giving you a thorough explanation of architecting a HBase cluster as per our project specifications. Next, we will explore the scalable structure of tables and we will be able to communicate with the HBase client. After this, we'll show you the intricacies of MapReduce and the art of performance tuning with HBase. Following this, we'll explain the concepts pertaining to scaling with HBase. Finally, you will get an understanding of how to integrate HBase with other tools such as ElasticSearch. By the end of this book, you will have learned enough to exploit HBase for boost system performance. Style and approach This book is intended for software quality assurance/testing professionals, software project managers, or software developers with prior experience in using Selenium and Java to test web-based applications. This books also provides examples for C#, Python, and Ruby users.
(source: Nielsen Book Data)

• 1. Introduction
• 2. A model of distributed computations
• 3. Logical time
• 4. Global state and snapshot recording algorithms
• 5. Terminology and basic algorithms
• 6. Message ordering and group communication
• 7. Termination detection
• 8. Reasoning with knowledge
• 9. Distributed mutual exclusion algorithms
• 10. Deadlock detection in distributed systems
• 11. Global predicate detection
• 12. Distributed shared memory
• 13. Checkpointing and rollback recovery
• 14. Consensus and agreement algorithms
• 15. Failure detectors
• 16. Authentication in distributed system
• 17. Self-stabilization
• 18. Peer-to-peer computing and overlay graphs
• Index.
• (source: Nielsen Book Data)

Designing distributed computing systems is a complex process requiring a solid understanding of the design problems and the theoretical and practical aspects of their solutions. This comprehensive textbook covers the fundamental principles and models underlying the theory, algorithms and systems aspects of distributed computing. Broad and detailed coverage of the theory is balanced with practical systems-related issues such as mutual exclusion, deadlock detection, authentication, and failure recovery. Algorithms are carefully selected, lucidly presented, and described without complex proofs. Simple explanations and illustrations are used to elucidate the algorithms. Important emerging topics such as peer-to-peer networks and network security are also considered. With vital algorithms, numerous illustrations, examples and homework problems, this textbook is suitable for advanced undergraduate and graduate students of electrical and computer engineering and computer science. Practitioners in data networking and sensor networks will also find this a valuable resource. Additional resources are available online at www.cambridge.org/9780521876346.
(source: Nielsen Book Data)

• 1. Introduction
• 2. A model of distributed computations
• 3. Logical time
• 4. Global state and snapshot recording algorithms
• 5. Terminology and basic algorithms
• 6. Message ordering and group communication
• 7. Termination detection
• 8. Reasoning with knowledge
• 9. Distributed mutual exclusion algorithms
• 10. Deadlock detection in distributed systems
• 11. Global predicate detection
• 12. Distributed shared memory
• 13. Checkpointing and rollback recovery
• 14. Consensus and agreement algorithms
• 15. Failure detectors
• 16. Authentication in distributed system
• 17. Self-stabilization
• 18. Peer-to-peer computing and overlay graphs
• Index.
• (source: Nielsen Book Data)

Designing distributed computing systems is a complex process requiring a solid understanding of the design problems and the theoretical and practical aspects of their solutions. This comprehensive textbook covers the fundamental principles and models underlying the theory, algorithms and systems aspects of distributed computing. Broad and detailed coverage of the theory is balanced with practical systems-related issues such as mutual exclusion, deadlock detection, authentication, and failure recovery. Algorithms are carefully selected, lucidly presented, and described without complex proofs. Simple explanations and illustrations are used to elucidate the algorithms. Important emerging topics such as peer-to-peer networks and network security are also considered. With vital algorithms, numerous illustrations, examples and homework problems, this textbook is suitable for advanced undergraduate and graduate students of electrical and computer engineering and computer science. Practitioners in data networking and sensor networks will also find this a valuable resource. Additional resources are available online at www.cambridge.org/9780521876346.
(source: Nielsen Book Data)

• List of Figures.- List of Symbols.- Foreword by Michel Raynal.- Authors? Preface.- Introduction.- Distributed Cooperation Problems: Models and Definitions.- Synchronous Do-All with Crashes: Using Perfect: Knowledge and Reliable Multicast.- Synchronous Do-All with Crashes and Point-to-Point Messaging.- Synchronous Do-All with Crashes and Restarts.- Synchronous Do-All with Byzantine Failures.- Asynchrony and Delay-Sensitive Bounds.- Analysis of Omni-Do in Asynchronous Partitionable Networks.- Competitive Analysis of Omni-Do in Partitionable Networks.- Cooperation in the Absence of Communication.- Related Cooperation Problems and Models.- References.- Index.
• (source: Nielsen Book Data)

"Do-All Computing for Distributed Systems: Cooperation in the Presence of Adversity" studies algorithmic issues associated with cooperative execution of multiple independent tasks by distributed computing agents including partitionable networks. Recent results have shed light on the understanding of how adversity affects efficiency, by presenting failure-sensitive upper and lower bounds for Do-All in several models for computation. The ability to cooperatively perform a collection of tasks is key to solving a broad array of computation problems ranging from distributed search to distributed simulation and multi-agent collaboration which is introduced within this book. "Do-All Computing for Distributed Systems: Cooperation in the Presence of Adversity" is structured to meet the needs of a professional audience composed of researchers and practitioners in industry. This volume is also suitable for graduate-level students in computer science.
(source: Nielsen Book Data)

• Acknowledgements.1 Introduction.1.1 The Current Communications Environment.1.2 The Ambient Networking Concept.1.3 The Ambient Networks Project.1.4 How to Read This Book.1.5 Outlook.2 Ambient Networks - The Consequence of Convergence.2.1 Convergence Leading Towards Ambient Networks.2.2 Realization of Convergence.2.3 Converged All-IP Networks.2.4 Network Convergence with the IP Multimedia Subsystem.2.5 Towards Ambient Networks.2.6 Motivation for a New Approach.2.7 Architectural Requirements for Ambient Networks.2.8 Summary.3 The Business Environment for Ambient Networks.3.1 Business Drivers and Benefi ts.3.2 Business Actors.3.3 The AN Business Proposition: The Value Network.3.4 Financial Aspects.3.5 Network Composition - Business View.3.6 Migration Aspects.3.7 Summary.4 Architecture and Components.4.1 Introduction.4.2 The Ambient Network Approach.4.3 The Ambient Control Space Concept.4.4 The Ambient Layer Model.4.5 Summary.5 Security in Ambient Networks.5.1 Introduction.5.2 Security Problem Space in Ambient Networks.5.3 Security Architecture.5.4 Key Problems and Solutions.5.5 Conclusion, Outlook and Further Work.6 Network Composition.6.1 Introduction and Motivation.6.2 Composition Procedures.6.3 Defi nition of Composition Types.6.4 Conclusions.7 GANS - Generic Ambient Networks Signalling.7.1 Introduction.7.2 State of the Art.7.3 Protocol Architecture.7.4 GANS Transport Layer Protocol.7.5 QoS Signalling Application.7.6 Conclusions.8 Multi-Radio Access.8.1 Introduction.8.2 Multi Radio Access - Problems and State of the Art.8.3 The AN Multi-Radio Access Architecture.8.4 Access Selection.8.5 Challenging Multi-Radio Access Networking Scenarios.8.6 Deployment Cost Savings.8.7 Migration Issues.8.8 Conclusion, Outlook and Further Work.9 Ambient Networks Mobility Management.9.1 Background and Motivation.9.2 The Framework for Mobility Management.9.3 Functional Entities.9.4 Trigger Mechanisms.10 Overlay Networks for Media Delivery.10.1 Introduction.10.2 Why Media Delivery Support in the Network Infrastructure?10.3 Media Delivery Architecture.10.4 Concept Evaluation and Demonstration.10.5 Conclusion, Outlook and Further Work.11 ContextWare - Context Awareness in Ambient Networks.11.1 Introduction.11.2 Network Context Awareness.11.3 Context Awareness in Ambient Networks.11.4 Ambient Networks ContextWare: Architecture and System Design.11.5 ContextWare Prototypes.11.6 Conclusions.12 Towards Ambient Networks Management.12.1 Introduction.12.2 Ambient Networks Management Challenges.12.3 Ambient Networks Management Approaches.12.4 Conclusions.References.Abbreviations.Index.
• (source: Nielsen Book Data)

"Ambient Networks" defines a new kind of network architecture, which embeds support for co operation and competition between diverse network types within a common control layer. This unified networking concept can adapt to the heterogeneous environments of different radio technologies and service and network environments. Special focus is placed on facilitating both competition and co operation of various market players, by defining interfaces which allow the instant negotiation of cooperation agreements. The Ambient Networking concept has been developed in the framework of the Ambient Networks project, which is co sponsored by the European Union under the Information Society Technology (IST) priority of the 6th Framework Programme. The Ambient Networks project mobilised the work of researchers from over forty different organisations, both major industrial corporations and leading academic institutions, from Europe and worldwide. This book offers a complete and detailed overview of the Ambient Networking concept and its core technologies. The authors explain the problems with current mobile IP networks and the need for a new mobility aware IP based control architecture, before presenting the Ambient Networking concept itself and the business opportunities that it offers. The architecture, components, features and challenges of Ambient Networking are covered in depth, with comprehensive discussions of multi radio access, generic Ambient Network signalling, mobility support, context and network management and built in media delivery overlay control. "Ambient Networks: Co operative Mobile Networking for the Wireless World": explains the need for Ambient Networking, discussing the limitations of today's proposed architectures, and explaining the business potential of edge networks and network co operation; describes Ambient Networking technology in detail, and addresses the technical challenges for implementation; and includes practical user scenarios which are fully analysed and assessed through simulation studies. Including a complete examination of the research and technologies arising from the Ambient Networks concept, "Ambient Networks" will be invaluable for research and development teams in networking and communications technology, as well as advanced students in electrical engineering and computer science faculties. Standardisation specialists, research departments, and telecommunications analysts will also find this a helpful resource.
(source: Nielsen Book Data)

• Preface
• 1 Characterization of distributed systems
• 2 System models
• 3 Networking and internetworking
• 4 Interprocess communication
• 5 Distributed objects and remote invocation
• 6 Operating system support
• 7 Security
• 8 Distributed file systems
• 9 Name services
• 10 Peer-to-peer systems
• 11 Time and global states
• 12 Coordination and agreement
• 13 Transactions and concurrency control
• 14 Distributed transactions
• 15 Replication
• 16 Mobile and ubiquitous computing
• 17 Distributed multimedia systems
• 18 Distributed shared memory
• 19 Web services
• 20 CORBA case study References.
• (source: Nielsen Book Data)

DISTRIBUTED SYSTEMS Concepts and Design Fourth Edition George Coulouris Jean Dollimore Tim Kindberg 'This book is simply the standard by which all other Distributed Systems texts are measured.' Amazon.co.uk review of the third edition From mobile phones to the Internet, our lives depend increasingly on distributed systems linking computers and other devices together in a seamless and transparent way. The fourth edition of this best-selling text continues to provide a comprehensive source of material on the principles and practice of distributed computer systems and the exciting new developments based on them, using a wealth of modern case studies to illustrate their design and development. Highlights of the fourth edition include: A Three entirely new chapters on peer-to-peer systems, web services, and mobile and ubiquitous systems. A More than 25 detailed case studies of well-known systems, eight of them new, including studies of the Grid, Cooltown, Bluetooth andthe (in)security of the WiFi WEP protocol. A Updated coverage of XML and its security extensions, the Advanced Encryption Standard and security design for ubiquitous systems.Distributed Systems provides students of computer science and engineering with the skills they will need to design and maintain software for distributed applications. It will also be invaluable to software engineers and systems designers wishing to understand new and future developments in the field. George Coulouris is a Senior Visiting Fellow in the Computer Laboratory at the University of Cambridge. Jean Dollimore was, until her retirement, Senior Lecturer in computer science at Queen Mary College, Universityof London. Tim Kindberg is a Senior Researcher at Hewlett-Packard Laboratories in Bristol. Check out www.cdk4.net or www.pearsoned.co.uk/coulouris for a rich set of resources for students and instructors, including: A The book bibliography with links to relevant online references. A PowerPoint teaching slides. A Presentation guidelines for instructors. A Solutions to all exercises (for instructors only). A Material from previous editions that will not fit in this one. A Source code for all program listings. A Links to many courses using the book. A A carefully maintained errata list ! and more!.
(source: Nielsen Book Data)

• 1. Introduction.PART I: FUNDAMENTALS
• .2. Basic Algorithms in Message-Passing Systems
• .3. Leader Election in Rings
• .4. Mutual Exclusion in Shared Memory
• .5. Fault-Tolerant Consensus
• .6. Causality and Time.PART II: SIMULATIONS
• .7. A Formal Model for Simulations
• .8. Broadcast and Multicast
• .9. Distributed Shared Memory
• .10. Fault-Tolerant Simulations of Read/Write Objects
• .11. Simulating Synchrony
• .12. Improving the Fault Tolerance of Algorithms
• .13. Fault-Tolerant Clock Synchronization.PART III: ADVANCED TOPICS
• .14. Randomization
• .15. Wait-Free Simulations of Arbitrary Objects
• .16. Problems Solvable in Asynchronous Systems
• .17. Solving Consensus in Eventually Stable Systems.References.Index.
• (source: Nielsen Book Data)

Comprehensive introduction to the fundamental results in the mathematical foundations of distributed computing Accompanied by supporting material, such as lecture notes and solutions for selected exercises Each chapter ends with bibliographical notes and a set of exercises Covers the fundamental models, issues and techniques, and features some of the more advanced topics.
(source: Nielsen Book Data)

• Preface. Introduction. Model of a Computation. Logical Clocks. Verifying Clock Algorithms. Clocks of Different Dimensions. Mutual Exclusion: Using Timestamps. Mutual Exclusion: Tokens and Quorums. Drinking Philosophers Problem. Leader Election. Global State. Observing Global Predicates. Observing Conjuctive Predicates. Channel Predicates. Termination Detection. Control of a Distributed Computation. Causal Message Ordering. Synchronous and Total Message Ordering. Computation of a Global Functon. Repeated Computation of a Global Function. Synchronizers. Slicers. Distributed Shared Memory. Self Stabilization. Knowledge and Common Knowledge. Consensus under Asynchrony. Consensus under Synchrony. Failure Detectors. Easy Problems in Asychronous Systems. Checkpointing for Recovery. Message Logging for Recovery. Appendix: Partial Orders. Bibliography. Index.
• (source: Nielsen Book Data)

A lucid and up-to-date introduction to the fundamentals of distributed computing systems As distributed systems become increasingly available, the need for a fundamental discussion of the subject has grown. Designed for first-year graduate students and advanced undergraduates as well as practicing computer engineers seeking a solid grounding in the subject, this well-organized text covers the fundamental concepts in distributed computing systems such as time, state, simultaneity, order, knowledge, failure, and agreement in distributed systems. Departing from the focus on shared memory and synchronous systems commonly taken by other texts, this is the first useful reference based on an asynchronous model of distributed computing, the most widely used in academia and industry. The emphasis of the book is on developing general mechanisms that can be applied to a variety of problems. Its examples-clocks, locks, cameras, sensors, controllers, slicers, and synchronizers-have been carefully chosen so that they are fundamental and yet useful in practical contexts. The text's advantages include: Emphasizes general mechanisms that can be applied to a variety of problems Uses a simple induction-based technique to prove correctness of all algorithms Includes a variety of exercises at the end of each chapter Contains material that has been extensively class tested Gives instructor flexibility in choosing appropriate balance between practice and theory of distributed computing.
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The engineering life cycle for complex systems design and development requires the set-up of adequate and controlled processes involving different partners and disciplines. The design integration and the final physical/functional integration and qualification imply a high degree of cross-interaction among all partners. This book documents the outcome of a European project on distributed system environments by presenting the results of the user's requirements analysis and assessing the current available technology such as collaboration systems design, analysis, and verification; middleware; product data and workflow management; multicast communication; network QoS management; and groupware. Besides technical results, the book surveys and classifies existing products and tools for collaborative distributed systems engineering.
(source: Nielsen Book Data)

• Time in distributed system models and algorithms / Paulo Veríssimo, Michel Raynal
• Consensus in asynchronous distributed systems : a concise guided tour / Rachid Guerraoui ... [et al.]
• Group communication in partitionable distributed systems / Özalp Babaoğlu, Renzo Davoli, Alberto Montresor
• Enhancing replica management services to cope with group failures / Paul D. Ezhilchelvan, Santosh K. Shrivastava
• Recent advances in distributed garbage collection / Marc Shapiro, Fabrice Le Fessant, Paulo Ferreira
• Topology-aware algorithms for large-scale communication / Luís Rodrigues, Paulo Veríssimo
• Responsive protocols for distributed multimedia applications / Fabio Panzieri, Marco Roccetti
• Programming partition-aware network applications / Özalp Babaoğlu, Alberto Bartoli, Gianluca Dini
• Deploying distributed objects on the Internet / Steve J. Caughey, Daniel Hagimont, David B. Ingham
• Integrating group communication with transactions for implementing persistent replicated objects / Mark C. Little, Santosh K. Shrivastava
• Replication of CORBA objects / Pascal Felber, Rachid Guerraoui, André Schiper
• Constructing dependable Web services / David B. Ingham, Fabio Panzieri, Santosh K. Shrivastava
• Support for distributed CSCW applications / François J.N. Cosquer ... [et al.]
• Component-based programming of distributed applications / Valérie Issarny ... [et al.]
• OPENflow : a CORBA based transactional workflow system / Stuart M. Wheater, Santosh K. Shrivastava, Frederic Ranno
• Improving the effectiveness of Web caching / Jean-Marc Menaud, Valérie Issarny, Michel Banâtre
• Mobility and coordination for distributed Java applications / Paolo Ciancarini, Andrea Giovannini, Davide Rossi
• PerDiS : design, implementation, and use of a PERsistent DIstributed store / Paulo Ferreira ... [et al.]
• The university student registration system : a case study in building a high-availability distributed application using general purpose components / Mark C. Little ... [et al.]
• Quality of service and electronic newspaper : the Etel solution / Valérie Issarny ... [et al.]
• FlexiNet : a flexible, component-oriented middleware system / Richard Hayton, Andrew Herbert.

This book documents the main results developed in the course of the European project "Basic Research on Advanced Distributed Computing: From Algorithms to Systems (BROADCAST)". Eight major European research groups in distributed computing cooporated on this projects, from 1992 to 1999. The 21 thoroughly cross-reviewed final full papers present the state-of-the art results on distributed systems in a coherent way. The book is divided in parts on distributed algorithms, systems architecture, applications support, and case studies.
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• Part 1 Programming systems: A programming system for the development of TINA services, T. Saridakis et al
• CoCoDoc - a framework for collaborative compound document editing based on OpenDoc and CORBA, G.H. ter Hofte, H.J. van der Lugt
• Group interrogation - a group programming primitive, K. Farooqui, L. Logrippo. Part 2 Languages and trading: Towards a new ODP enterprise language, Z. Milosevic, M. Bearman
• An enterprise trader models for DCOM, G. Outhred, J. Potter
• Meta-level service types specifications, A. Puder, K. Geihs
• Type checking in open distributed systems - a complete model and its Z specifications, R.O. Sinnott, K.J. Turner. Part 3 Management I: A HORB-based network management system, A. Yamanaka et al
• Using ODP as a framework for CORBA-based distributed applications management, A. Keller, B. Neumair
• Management of CORBA objects monitoring for the multiware platform, J.A.G. de Queiroz, E.R.M. Madeira. Part 4 QoS and performance: Protocol support for optimized context sensitive request/response communication over connection oriented networks, S. Kummel, T. Hutschenreuther
• Performance measurements of multi-threaded servers in a distributed environment, G. Somadder, D. Petriu. Part 5 Services I: An event service for open distributed systems, M. Mansouri-Samani, M. Sloman
• Design and evaluation of a distributed event recognition system, I. Burger , B. Meyer
• An event framework for CORBA-based monitoring and management systems, A. Schade
• The persistent object group service - an approach to fault tolerance of open distributed applications, M. Zweiacker
• Nested transaction and concurrency control services on CORBA, K.-C. Liang et al. Part 6 Management II: Using interception to create domains in distributed systems, Y. Hoffner, B. Crawford
• Multi-party binding in an ODP world, A. Bond et al
• Specifications of mobile transparency, A. Rakotonirainy, A. Bond. Part 7 Services II: LIMBO - a tuple space based platform for adaptive mobile applications, N. Davies et al
• Implementing the OMG trading object service - the TOI product V. Tschmmer et al
• Federated naming in an ODP environment, P. Kahkipuro et al.
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Advances in computer networking have allowed computer systems across the world to be interconnected. Open Distributed Processing (ODP) systems are those that support heterogenous distributed applications both within and between autonomous organizations. Many challenges must be overcome before ODP systems can be fully realized. This book describes the recent advances in the theory and practice of developing, deploying, and managing open distributed processing systems. Applications of these systems include but are not limited to telecommunications systems, medical systems, and large scale transaction processing and electronic commerce systems. All of these are currently developed on distributed platforms. Issues which are addressed in the text include: security and commerce; the trading of services; quality of service; performance; management; platform support and; system development techniques. This book compiles the proceedings of the IFIP/IEEE Joint International Conference on Open Distributed Processing and Distributed Platforms: Building and Managing Open Distributed Systems on Distributed Platforms. It was held in Toronto, Ontario, Canada, in May 1997.
(source: Nielsen Book Data)

This text presents a methodology for the design of distributed parallel programs in general, and reactive systems in particular. It also presents a defined notation (IP) for expressing the design of reactive systems and an accompanying design method.
(source: Nielsen Book Data)