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Item Details
Title: INTRODUCTION TO RELIABLE AND SECURE DISTRIBUTED PROGRAMMING
By: Christian Cachin, Rachid Guerraoui, Luis Rodrigues
Format: Hardback

List price: £74.99
Our price: £65.62
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ISBN 10: 3642152597
ISBN 13: 9783642152597
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Publisher: SPRINGER-VERLAG BERLIN AND HEIDELBERG GMBH & CO. KG
Pub. date: 12 February, 2011
Edition: 2nd ed. 2011
Pages: 367
Description: The scope of this second edition of the introduction to fundamental distributed programming abstractions has been extended to cover `Byzantine fault tolerance'. It includes algorithms to implement these abstractions in vulnerable distributed systems.
Synopsis: In modern computing a program is usually distributed among several processes. The fundamental challenge when developing reliable and secure distributed programs is to support the cooperation of processes required to execute a common task, even when some of these processes fail. Failures may range from crashes to adversarial attacks by malicious processes.Cachin, Guerraoui, and Rodrigues present an introductory description of fundamental distributed programming abstractions together with algorithms to implement them in distributed systems, where processes are subject to crashes and malicious attacks. The authors follow an incremental approach by first introducing basic abstractions in simple distributed environments, before moving to more sophisticated abstractions and more challenging environments. Each core chapter is devoted to one topic, covering reliable broadcast, shared memory, consensus, and extensions of consensus. For every topic, many exercises and their solutions enhance the understanding This book represents the second edition of "Introduction to Reliable Distributed Programming". Its scope has been extended to include security against malicious actions by non-cooperating processes. This important domain has become widely known under the name "Byzantine fault-tolerance".
Illustrations: XIX, 367 p.
Publication: Germany
Imprint: Springer-Verlag Berlin and Heidelberg GmbH & Co. K
Returns: Returnable
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