Distributed and Cloud Computing
From Parallel Processing to the Internet of Things
By- Kai Hwang, University of Southern California, USA
- Jack Dongarra, University of Tennessee, USA
- Geoffrey Fox, Indiana University, USA
From the leading minds in the field, Distributed and Cloud Computing is the first modern, up-to-date distributed systems textbook. 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 will teach you how to create high-performance, scalable, reliable systems, providing 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.
Audience
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.
Paperback, 672 Pages
Published: October 2011
Imprint: Morgan Kaufmann
ISBN: 978-0-12-385880-1
Reviews
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"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
Contents
Part 1: Systems Modeling, Clustering and Virtualization
Chapter 1: Distributed System Models and Enabling Technologies
1.1 Scalable Computing Service over The Internet1.2 Technologies for Network-based Computing
1.3 System Models for Distributed and Cloud Computing1.4 Software Environments for Distributed Systems and Clouds
1.5 Performance, Security, and Energy-Efficiency1.6 Bibliographic Notes and Homework Problems
Chapter 2: Computer Clusters for Scalable Computing
2.1 Clustering for Massive Parallelism2.2 Computer Clusters and MPP Architectures
2.3 Design Principles of Computer Clusters2.4 Cluster Job and Resource Management
2.5 Case Studies of Supercomputyers and MPP Systems2.6 Bibliographic Notes and Homework Problems
Chapter 3: Virtual Machines and Virtualization of Clusters and Datacenters
3.1 Implementation Levels of Virtualization3.2 Virtualization Structures/Tools and Mechanisms
3.3 Virtualization of CPU, Memory and I/O Devices3.4 Virtual Clusters and Resource Management
3.5 Virtualization for Datacenter Automation3.6 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 Models4.2 Datacenter Design and Interconnection Networks
4.3 Architecture Design of Compute and Storage Clouds4.4 Public Cloud Platforms: GAE, AWS and Windows Azure
4.5 Cloud Resource Management and Exchanges4.6 Cloud Security and Trust Management
4.7 References and Homework Problems Chapter 5: Service Oriented Architectures5.1 Services and Service Oriented Architectures
5.2 Message-Oriented Middleware5.3 Portals and Science Gateways
5.4 Discovery, Registries, Metadata, and Databases5.5 Workflow in Service-Oriented Architectures
5.6 Bibliographic Notes and Homework Problems Chapter 6: Cloud Programming and Software Environments6.1 Features of Cloud and Grid Platforms
6.2 Parallel and Distributed Programming Paradigms6.3 Programming Support of Google App Engine
6.4 Amazon Web Services (AWS) Programming6.5 Microsoft Azure Programming Support
6.6 Emerging Cloud Software Environments6.7 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 Modeling7.2 Case Studies of Grid Computing Systems
7.3 Grid Resource Management and Brokering7.4 Middleware Support for Grid Resource Management
7.5 Grid Security Infrastructure in GT47.6 Bibliographic Notes and Homework Problems
Chapter 8: P2P Computing with Overlay Networks
8.1 Peer-to-Peer Computing Systems8.2 P2P Overlay Networks and Properties
8.3 Routing, Proximity and Fault Tolerance8.4 Trust and Reputation Management
8.5 P2P File Sharing and Copyright Protection8.6 Bibliographic Notes and Homework Problems
Chapter 9: Ubiquitous Computing with Clouds and The Internet of Things
9.1 Cloud Trend To Support Ubiquitous Computing9.2 Performance Metrics for HPC and HTC Systems
9.3 Enabling Technologies for The Internet of Things9.4 Innovative Applications of The Internet of Things
9.5 On-Line Social and Professional Networking9.6 Bibliographic Notes and Homework Problems
