Distributed and Cloud Computing

Kai Hwang 지음

elsevier 2011년 10월 15일 출간

작품소개

책소개

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 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 amp

목차

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 Databa

출판사 서평

"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

작가정보

저자(글) Kai Hwang