Distributed and Cloud Computing

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

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

"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

"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