English | 672 pages | Morgan Kaufmann; 1st edition (October 31, 2011) | 0123858801 | PDF | 9.97 Mb

Distributed and Cloud Computing: From Parallel Processing to the Internet of Things offers complete coverage of modern distributed computing technology including clusters, the grid, service-oriented architecture, massively parallel processors, peer-to-peer networking, and cloud computing.

It is the first modern, up-to-date distributed systems textbook; it explains how to create high-performance, scalable, reliable systems, exposing the design principles, architecture, and innovative applications of parallel, distributed, and cloud computing systems.

Topics covered by this book include: facilitating management, debugging, migration, and disaster recovery through virtualization; clustered systems for research or ecommerce applications; designing systems as web services; and social networking systems using peer-to-peer computing. The principles of cloud computing are discussed using examples from open-source and commercial applications, along with case studies from the leading distributed computing vendors such as , Microsoft, and Google. Each chapter includes exercises and further reading, with lecture slides and more available online.

This book will be ideal for students taking a distributed systems or distributed computing class, as well as for professional system designers and eeers looking for a reference to the latest distributed technologies including cloud, P2P and grid computing.



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