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

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Overview

A distributed systems textbook for creating high-performance, scalable, and reliable cloud-based distributed systems

Distributed and Cloud Computing

From Parallel Processing to the Internet of Things

Kai Hwang, Geoffrey C. Fox, Jack Dongarra

Distributed and Cloud Computing is a comprehensive and up-to-date textbook that covers the convergence of high performance computing, distributed and cloud computing, virtualization, and grid computing. The authors integrate an awareness of application and technology trends that are shaping the future of computing. The book is an excellent resource for students as well as seasoned practitioners.

–Thomas J. Hacker, Associate Professor, Purdue University

With double-digit growth predicted in industry, today's students need to learn cloud computing to successfully enter the workforce. Distributed and Cloud Computing brings the principles of cloud computing to distributed systems courses. Starting with an overview of modern distributed models, the book exposes the design principles, systems architecture, and innovative applications of parallel, distributed, and cloud computing systems. It teaches how to create high-performance, scalable, reliable systems for research, e-commerce, social networking, supercomputing, and more, with examples from open-course and commercial applications.

Features

  • Complete coverage of modern distributed computing technology including clusters, the grid, service-oriented architecture, massively parallel processors, peer-to-peer networking, and cloud computing
  • Includes case studies from the leading distributed computing vendors: Amazon, Microsoft, Google, and more
  • Explains how to use virtualization to facilitate management, debugging, migration, and disaster recovey
  • Designed for undergraduate or graduate students taking a distributed systems course—each chapter includes exercises and further reading, with lecture slides and more available online
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Editorial Reviews

From the Publisher
"Grid computing, peer-to-peer computing, cloud computing are emergent fields that have attracted academia and industry over the last few years. It is expected that they will have a huge impact on many areas in business, science and engineering and society at large. The timely publication of this textbook will bring the newest technologies in distributed computing to students." – Yi Pan, Dept of Computer Science, Georgia State University

"Distributed and Cloud Computing is a comprehensive and up-to-date textbook that covers the convergence of high performance computing, distributed and cloud computing, virtualization, and grid computing. The authors integrate an awareness of application and technology trends that are shaping the future of computing. The book is an excellent resource for students as well as seasoned practitioners." –Thomas J. Hacker, Associate Professor, Purdue University

"It is very well organized in nine chapters that allow readers interested in certain subtopics such as design, theory, service-oriented architecture, and resource management to find that material cohesively collected into a chapter that serves those interests. A valuable resource for students and practitioners of distributed and cloud computing. Summing Up: Highly recommended. Upper- division undergraduates, graduate students, professionals/practitioners, and general readers."—CHOICE

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Product Details

  • ISBN-13: 9780123858801
  • Publisher: Elsevier Science
  • Publication date: 10/31/2011
  • Pages: 672
  • Product dimensions: 7.30 (w) x 9.20 (h) x 1.70 (d)

Meet the Author

Kai Hwang is a Professor of Computer Engineering, University of Southern California and an IV-endowed visiting Chair Professor, Tsinghua University, China. He earned the Ph.D. in EECS from University of California at Berkeley. An IEEE Life Fellow, He has published extensively in computer architecture, digital arithmetic, parallel processing, distributed systems, Internet security, and cloud computing. He has founded the Journal of Parallel and Distributed Computing and delivered three dozens of keynote addresses in major IEEE/ACM Conferences. He received the 2004 Outstanding Achievement Award from China Computer Federation and the IEEE 2011 IPDPS Founders' Award for his pioneering contributions in the field of parallel processing.

Jack Dongarra is a University Distinguished Professor of Electrical Engineering and Computer Science, University of Tennessee, a Distinguished Research Staff, Oak Ridge National Laboratory and a Turning Fellow at the University of Manchester. An ACM/IEEE/ SIAM/AAAS Fellow, Dongarra pioneered the areas of supercomputer benchmarks, numerical analysis, linear algebra solvers, and high-performance computing and published extensively in these areas. He leads the Linpack benchmark evaluation of the Top-500 fastest computers over the years. Based on his high contributions in the supercomputing and high-performance areas, he was elected as a Member of the National Academy of Engineering in the USA.

Geoffrey Fox is a Distinguished Professor of Informatics, Computing and Physics and Associate Dean of Graduate studies and Research in the School of Informatics and Computing, Indiana University. He has taught and led many research groups at Caltech and Syracuse University, previously. He received his Ph.D. from Cambridge University, U.K. Fox is well known for his comprehensive work and extensive publications in parallel architecture, distributed programming, grid computing, web services, and Internet applications. His book on Grid Computing (coauthored with F. Berman and Tony Hey) is widely used by the research community. He has produced over 60 Ph.D. students in physics, computer science and engineering over the years.

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Table of Contents

Part 1: Systems Modeling, Clustering and Virtualization

Chapter 1: Distributed System Models and Enabling Technologies

1.1 Scalable Computing Service over The Internet

1.2 Technologies for Network-based Computing

1.3 System Models for Distributed and Cloud Computing

1.4 Software Environments for Distributed Systems and Clouds

1.5 Performance, Security, and Energy-Efficiency

1.6 Bibliographic Notes and Homework Problems

Chapter 2: Computer Clusters for Scalable Computing

2.1 Clustering for Massive Parallelism

2.2 Computer Clusters and MPP Architectures

2.3 Design Principles of Computer Clusters

2.4 Cluster Job and Resource Management

2.5 Case Studies of Supercomputyers and MPP Systems

2.6 Bibliographic Notes and Homework Problems

Chapter 3: Virtual Machines and Virtualization of Clusters and Datacenters

3.1 Implementation Levels of Virtualization

3.2 Virtualization Structures/Tools and Mechanisms

3.3 Virtualization of CPU, Memory and I/O Devices

3.4 Virtual Clusters and Resource Management

3.5 Virtualization for Datacenter Automation

3.6 Bibliographic Notes and Homework Problems

Part 2: Computing Clouds and Service-Oriented Architecture

Chapter 4: Design of Cloud Computing Platforms

4.1 Cloud Computing and Service Models

4.2 Datacenter Design and Interconnection Networks

4.3 Architecture Design of Compute and Storage Clouds

4.4 Public Cloud Platforms: GAE, AWS and Windows Azure

4.5 Cloud Resource Management and Exchanges

4.6 Cloud Security and Trust Management

4.7 References and Homework Problems

Chapter 5: Service Oriented Architectures

5.1 Services and Service Oriented Architectures

5.2 Message-Oriented Middleware

5.3 Portals and Science Gateways

5.4 Discovery, Registries, Metadata, and Databases

5.5 Workflow in Service-Oriented Architectures

5.6 Bibliographic Notes and Homework Problems

Chapter 6: Cloud Programming and Software Environments

6.1 Features of Cloud and Grid Platforms

6.2 Parallel and Distributed Programming Paradigms

6.3 Programming Support of Google App Engine

6.4 Amazon Web Services (AWS) Programming

6.5 Microsoft Azure Programming Support

6.6 Emerging Cloud Software Environments

6.7 Bibliographic Notes and Homework Problems

Part 3: Grids, P2P, and The Future Internet

Chapter 7: Grid Computing and Resource Management

7.1 Grid Architecture and Service Modeling

7.2 Case Studies of Grid Computing Systems

7.3 Grid Resource Management and Brokering

7.4 Middleware Support for Grid Resource Management

7.5 Grid Security Infrastructure in GT4

7.6 Bibliographic Notes and Homework Problems

Chapter 8: P2P Computing with Overlay Networks

8.1 Peer-to-Peer Computing Systems

8.2 P2P Overlay Networks and Properties

8.3 Routing, Proximity and Fault Tolerance

8.4 Trust and Reputation Management

8.5 P2P File Sharing and Copyright Protection

8.6 Bibliographic Notes and Homework Problems

Chapter 9: Ubiquitous Computing with Clouds and The Internet of Things

9.1 Cloud Trend To Support Ubiquitous Computing

9.2 Performance Metrics for HPC and HTC Systems

9.3 Enabling Technologies for The Internet of Things

9.4 Innovative Applications of The Internet of Things

9.5 On-Line Social and Professional Networking

9.6 Bibliographic Notes and Homework Problems

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Sort by: Showing 1 Customer Reviews
  • Posted December 27, 2011

    VERY VERY HIGHLY RECOMMENDED!! GET THIS BOOK NOW!!

    Are you a student taking a distributed systems or distributed computing class? If you are, then this book is for you! Authors Kai Hwang, Jack Dongarra and Geoffrey C. Fox, have done an outstanding job of writing a book that addresses the latest advances in hardware and software, system architecture, new programming paradigms, and ecosystems emphasizing both speed performance and energy efficiency. Hwang, Dongarra and Fox, begin by assessing the evolutional changes in computing and IT trends in the past 30 years. In addition, the authors discuss clustered computing systems and massively parallel processors. They then cover VMs, live migration of VMs, virtual cluster construction, resource provisioning, virtual configuration adaptation, and the design of virtualized data centers for cloud computing applications. The authors then, cover the design principles and enabling technologies for cloud architecture and data center design. The authors explore two major forms of distributed services (REST and web services) and the extension of latter in Grid systems. In addition, the authors introduce major cloud programming paradigms: MapReduce, BigTable, Twister, Dryad, DryadLINQ, Hadoop, Sawall, and Pig Latin. In addition, they cover design principles, platform architecture, middleware support, resource management, and service standards in computing/data grids. Next, the authors present unstructured, structured, and hybrid overlay networks. Finally, they examine some public and private clouds built by IBM, Salesforce, SGI, Manijarsoft, NASA, and CERN. The primary goal of this most excellent book, is to transform traditional multiprocessors and and multi-computer clusters into web-scale grids, and clouds. Perhaps more importantly, this book focuses on P2P networks for ubiquitous use in the future Internet, including large-scale social networks and the Internet of things that are emerging rapidly in recent years.

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