Hardcover. 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. A guide to the essential techniques for designing and building dependable distributed systems. Instead of covering a broad range of research works for each dependability strategy, it focuses on only a selected few, explaining each in depth, usually with a comprehensive set of examples. Shipping may be from multiple locations in the US or from the UK, depending on stock availability.

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Detalles bibliogr�ficos

T�tulo: Building Dependable Distributed Systems (Hardcover)
Editor: John Wiley & Sons Inc, New York
Fecha de publicaci�n: 2014
Idioma: Ingl�s
ISBN 10: 1118549430
ISBN 13: 9781118549438
Encuadernaci�n: Hardcover
Estado: new

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Sinopsis

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.

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Wenbing Zhao received his PhD in electrical and computer engineering from the University of California, Santa Barbara, in 2002. Currently, he is an Associate Professor in the Department of Electrical and Computer Engineering at Cleveland State University. Dr. Zhao has more than 80 academic publications to his credit, and three of his recent research papers in the area of dependable distributed computing have won best paper awards. Dr. Zhao also has a U.S. patent on consistent time service for fault-tolerant distributed systems.

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