Details

Do-All Computing in Distributed Systems

Cooperation in the Presence of Adversity

von: Chryssis Georgiou
96,29 €
Verlag:	Springer
Format:	PDF
Veröffentl.:	27.11.2007
ISBN/EAN:	9780387690452
Sprache:	englisch
Anzahl Seiten:	219

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Beschreibungen

Titelbeschreibung

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.

Inhaltsverzeichnis

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.

Back cover copy

The ability to cooperatively perform a collection of tasks in a distributed system is key to solving a broad array of computation problems ranging from distributed search, to distributed simulation, and multi-agent collaboration. Practical solutions to such cooperation problems must effectively marshal the available computing resources in performing large sets of tasks. This is challenging due to the failures and asynchrony of the involved processors, and due to the delays and connectivity failures in the underlying network.
Do-All Computing in Distributed Systems: Cooperation in the Presence of Adversity is the first book that presents an in depth study of cooperation problems, abstracted in terms of the Do-All problem, where a collection of processors cooperatively perform a collection of independent tasks in the presence of adversity.
This book presents several significant advances in algorithms designed to solve the Do-All problem in distributed message-passing settings under various models of adversity, including processor crashes, asynchrony, message delays, network partitions, and malicious processor behaviors. Upper and lower bounds are presented, demonstrating the extent to which efficiency can be combined with fault-tolerance. This book contains the recent advances in the principles of efficient and fault-tolerant cooperative computing, narrowing the gap between abstract models of dependable network computing and realistic distributed systems.
Do-All Computing in 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 as a reference or secondary text for advanced-level students in computer science and engineering.

Sonderbeitrag

Most significant algorithmic solution developed and available today for do-all computing for distributed systems (including partitionable networks) The first monograph that deals with do-all computing for distributed systems

Verkaufsargumente

This book studies algorithmic issues associated with cooperative execution of multiple independent tasks by distributed computing agents including partitionable networks. It provides the most significant algorithmic solution developed and available today for do-all computing for distributed systems (including partitionable networks), and is the first monograph that deals with do-all computing for distributed systems. 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.