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Computer and Information Science #1: Distributed Systems

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Computer and Information Science #1: Distributed Systems Cover

 

Synopses & Reviews

Publisher Comments:

Most applications in distributed computing center around a set of common subproblems. Distributed Systems: An Algorithmic Approach presents the algorithmic issues and necessary background theory that are needed to properly understand these challenges. Achieving a balance between theory and practice, this book bridges the gap between theoreticians and practitioners. With a set of exercises featured in each chapter, the book begins with background information that contains various interprocess communication techniques and middleware services, followed by foundational topics that cover system models, correctness criteria, and proof techniques. The book also presents numerous important paradigms in distributed systems, including logical clocks, distributed snapshots, deadlock detection, termination detection, election, and several graph algorithms. The author then addresses failures and fault-tolerance techniques in diverse applications, such as consensus, transactions, group communication, replicated data management, and self-stabilization. He concludes with an exploration of real-world issues, including distributed discrete-event simulation and security, sensor networks, and peer-to-peer networks. By covering foundational matters of distributed systems and their relationships to real-world applications, Distributed Systems provides insight into common distributed computing subproblems,

Book News Annotation:

In a textbook for a one-semester course at the senior undergraduate or first-year graduate level, Ghosh (U. of Iowa-Iowa City) presents foundational topics of distributed computer systems and their relationships to real-life applications. Most applications of distributed computing center around a set of common subproblems, he says, and a proper understanding of these subproblems requires a background in the underlying theory and algorithmic issues. He aspires to help bridge the gap between practitioners and theoreticians by balancing the two approaches. Annotation ©2007 Book News, Inc., Portland, OR (booknews.com)

Synopsis:

Most applications in distributed computing center around a set of common subproblems. Distributed Systems: An Algorithmic Approach presents the algorithmic issues and necessary background theory that are needed to properly understand these challenges.

Achieving a balance between theory and practice, this book bridges the gap between theoreticians and practitioners. With a set of exercises featured in each chapter, the book begins with background information that contains various interprocess communication techniques and middleware services, followed by foundational topics that cover system models, correctness criteria, and proof techniques. The book also presents numerous important paradigms in distributed systems, including logical clocks, distributed snapshots, deadlock detection, termination detection, election, and several graph algorithms. The author then addresses failures and fault-tolerance techniques in diverse applications, such as consensus, transactions, group communication, replicated data management, and self-stabilization. He concludes with an exploration of real-world issues, including distributed discrete-event simulation and security, sensor networks, and peer-to-peer networks.

By covering foundational matters of distributed systems and their relationships to real-world applications, Distributed Systems provides insight into common distributed computing subproblems,

Synopsis:

Achieving a balance between theory and practice, this text presents the foundational topics of distributed systems and their relationships to real-world applications. With a set of exercises featured in each chapter, the book covers system models, correctness criteria, and proof techniques. It also presents numerous important paradigms in distributed systems, including logical clocks, distributed snapshots, deadlock detection, termination detection, election, and graph algorithms. The author addresses failures and fault-tolerance techniques in diverse applications, such as consensus, transactions, group communication, replicated data management, and self-stabilization. He also explores real-world issues, including distributed discrete-event simulation and security, and sensor and peer-to-peer networks.

Synopsis:

Offering a balance of theory and practice, Distributed Systems shows how algorithmic aspects of distributed computing relate to the real world and addresses fundamental issues in distributed systems. This book provides coverage of new topics in the field, including sensor networks and peer-to-peer networks, and presents background and foundational material as well as important paradigms that play a pivotal role in the design of many distributed systems. The author introduces faults and various techniques for fault tolerance. With a set of exercises featured in each chapter, this text emphasizes underlying theory and real world issues to provide readers with a thorough understanding of this subject.

Product Details

ISBN:
9781584885641
Publisher:
Chapman & Hall/CRC
Subject:
Networking - General
Author:
Ghosh, Sukumar
Author:
Ghosh, Ghosh
Subject:
Electronic data processing
Subject:
Computer algorithms
Subject:
Client-Server Computing - General
Series:
Chapman & Hall/CRC Computer and Information Science
Series Volume:
13
Publication Date:
20061131
Binding:
Hardcover
Language:
English
Illustrations:
Y
Pages:
402
Dimensions:
10.30x7.18x1.06 in. 1.96 lbs.

Related Subjects

Computers and Internet » Database » Client Server
Computers and Internet » Networking » General
Engineering » Engineering » General Engineering
Health and Self-Help » Health and Medicine » Medical Specialties
Religion » Comparative Religion » General
Science and Mathematics » Mathematics » General

Computer and Information Science #1: Distributed Systems
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$ In Stock
Product details 402 pages Chapman & Hall/CRC - English 9781584885641 Reviews:
"Synopsis" by , Most applications in distributed computing center around a set of common subproblems. Distributed Systems: An Algorithmic Approach presents the algorithmic issues and necessary background theory that are needed to properly understand these challenges.

Achieving a balance between theory and practice, this book bridges the gap between theoreticians and practitioners. With a set of exercises featured in each chapter, the book begins with background information that contains various interprocess communication techniques and middleware services, followed by foundational topics that cover system models, correctness criteria, and proof techniques. The book also presents numerous important paradigms in distributed systems, including logical clocks, distributed snapshots, deadlock detection, termination detection, election, and several graph algorithms. The author then addresses failures and fault-tolerance techniques in diverse applications, such as consensus, transactions, group communication, replicated data management, and self-stabilization. He concludes with an exploration of real-world issues, including distributed discrete-event simulation and security, sensor networks, and peer-to-peer networks.

By covering foundational matters of distributed systems and their relationships to real-world applications, Distributed Systems provides insight into common distributed computing subproblems,

"Synopsis" by , Achieving a balance between theory and practice, this text presents the foundational topics of distributed systems and their relationships to real-world applications. With a set of exercises featured in each chapter, the book covers system models, correctness criteria, and proof techniques. It also presents numerous important paradigms in distributed systems, including logical clocks, distributed snapshots, deadlock detection, termination detection, election, and graph algorithms. The author addresses failures and fault-tolerance techniques in diverse applications, such as consensus, transactions, group communication, replicated data management, and self-stabilization. He also explores real-world issues, including distributed discrete-event simulation and security, and sensor and peer-to-peer networks.
"Synopsis" by , Offering a balance of theory and practice, Distributed Systems shows how algorithmic aspects of distributed computing relate to the real world and addresses fundamental issues in distributed systems. This book provides coverage of new topics in the field, including sensor networks and peer-to-peer networks, and presents background and foundational material as well as important paradigms that play a pivotal role in the design of many distributed systems. The author introduces faults and various techniques for fault tolerance. With a set of exercises featured in each chapter, this text emphasizes underlying theory and real world issues to provide readers with a thorough understanding of this subject.
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