Distributed and Cloud Computing: From Parallel Processing to the Internet of Things (9780123858801)

R1,875.00

Distributed and Cloud Computing: From Parallel Processing to the Internet of Things
Distributed and Cloud Computing: From Parallel Processing to the Internet of Things
Hwang, Kai; Dongarra, Jack; Fox, Geoffrey C.
Kai
Hwang
Morgan Kaufmann
Elsevier S & T

9780123858801
9780128002049

Description

Distributed and Cloud Computing, named a 2012 Outstanding Academic Title by the American Library Association’s Choice publication, explains how to create high-performance, scalable, reliable systems, exposing the design principles, architecture, and innovative applications of parallel, distributed, and cloud computing systems.

Starting with an overview of modern distributed models, the book provides comprehensive coverage of distributed and cloud computing, including:

  • Facilitating management, debugging, migration, and disaster recovery through virtualization
  • Clustered systems for research or ecommerce applications
  • Designing systems as web services
  • Social networking systems using peer-to-peer computing
  • Principles of cloud computing using examples from open-source and commercial applications

Using examples from open-source and commercial vendors, the text describes cloud-based systems for research, e-commerce, social networking and more.

  • Complete coverage of modern distributed computing technology including clusters, the grid, service-oriented architecture, massively parallel processors, peer-to-peer networking, and cloud computing
  • Edited by three well-regarded textbook authors and industry speakers, with more than 30 texts between them
  • Lead editor Kai Hwang is a regular keynote speaker at cloud computing conferences and runs the USC Internet/Cloud Computing Research Laboratory
  • Designed as a required text for Distributed Systems courses at the graduate or senior undergraduate level
  • Includes case studies from the leading distributed computing vendors: IBM, Amazon, Microsoft, Google, and more

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