Distributed and Cloud Computing: From Parallel Processing to the Internet of Things

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Pages: 672

Size: 3.895,35 Kb

Publication Date: October 31,2011

Category: Design & Architecture



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Distributed and Cloud Processing: From Parallel Processing to the web of Factors offers comprehensive coverage of contemporary distributed computing technology which includes clusters, the grid, service-oriented architecture, massively parallel processors, peer-to-peer networking, and cloud processing. It’s the first contemporary, up-to-time distributed systems textbook; it clarifies how exactly to create high-functionality, scalable, dependable systems, exposing the look concepts, architecture, and innovative applications of parallel, distributed, and cloud processing systems.

  • Complete insurance coverage of contemporary distributed computing technology which includes clusters, the grid, service-oriented architecture, massively parallel processors, peer-to-peer networking, and cloud processing
  • Includes case research from the leading distributed processing suppliers: Amazon, Microsoft, Google, and even more
  • Explains how exactly to make use of virtualization to facilitate administration, debugging, migration, and disaster recovery
  • Created for undergraduate or graduate learners going for a distributed systems program―each chapter contains exercises and additional reading, with lecture slides and even more available on-line
clustered systems for analysis or ecommerce applications; developing systems as web solutions; Each chapter contains exercises and additional reading, with lecture slides and even more available on-line.

This publication will be perfect for students going for a distributed systems or distributed processing class, as well for professional program designers and engineers searching for a reference to the most recent distributed technologies which includes cloud, P2P and grid processing. and social media systems using peer-to-peer processing. The concepts of cloud processing are discussed using illustrations from open-source and industrial applications, along with case research from the leading distributed processing vendors such as for example Amazon, Microsoft, and Google.

Topics included in this reserve include: facilitating administration, debugging, migration, and disaster recovery through virtualization;


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