Distributed and Cloud Computing

1st Edition

From Parallel Processing to the Internet of Things

Authors:

  • Kai Hwang
  • Jack Dongarra
  • Geoffrey Fox
  • Distributed and Cloud Computing

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    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.

    Key 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 recovery
    • 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

    Readership

    Students taking a distributed systems or distributed computing class; also professional system designers and engineers looking for a reference to the latest distributed technologies including cloud, P2P and grid computing.

    Table of Contents

    Dedication

    Preface

    About the Book

    A Glance at the Contents

    Key Features

    Readership and Suggestions to Instructors/Students

    Invited Contributions

    Permissions and Acknowledgements

    About the Authors

    Foreword

    Part 1: Systems Modeling, Clustering, and Virtualization

    Introduction

    Chapter 1: Distributed System Models and Enabling Technologies

    Chapter 2: Computer Clusters for Scalable Parallel Computing

    Chapter 3: Virtual Machines and Virtualization of Clusters and Data Centers

    Chapter 1. Distributed System Models and Enabling Technologies

    Summary

    1.1 Scalable Computing Over the Internet

    1.2 Technologies for Network-Based Systems

    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

    Acknowledgments

    References

    Homework Problems

    Chapter 2. Computer Clusters for Scalable Parallel Computing

    Summary

    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 Top Supercomputer Systems

    2.6 Bibliographic Notes and Homework Problems

    Acknowledgments

    References

    Homework Problems

    Chapter 3. Virtual Machines and Virtualization of Clusters and Data Centers

    Summary

    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 Data-Center Automation

    3.6 Bibliographic Notes and Homework Problems

    Acknowledgmen

    Details

    No. of pages:
    672
    Language:
    English
    Copyright:
    © 2011
    Published:
    Imprint:
    Morgan Kaufmann
    Print ISBN:
    9780123858801
    Electronic ISBN:
    9780128002049

    About the authors

    Kai Hwang

    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.

    Affiliations and Expertise

    University of Southern California, USA

    Jack Dongarra

    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.

    Affiliations and Expertise

    University of Tennessee, USA

    Geoffrey Fox

    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.

    Affiliations and Expertise

    Indiana University, USA

    Awards

    CHOICE Outstanding Academic Titles, 2012, American Library Association

    Reviews

    "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