000			02903cam a2200253 a 4500
999			_c24931 _d24931
001			58532
010			_a 2011038277
020			_a9780123858801
040			_aDLC
082	0	0	_a004.6782
100	1		_aHwang, Kai _95119
245	1	0	_aDistributed and cloud computing : _bfrom parallel processing to the Internet of things / _cKai Hwang, Geoffrey C. Fox, Jack J. Dongarra
260			_aAmsterdam : _aBoston : _bMorgan Kaufmann, _cc2012.
300			_axxii, 648 p. : _bill. ; _c24 cm.
504			_aIncludes bibliographical references and index.
505	0		_aDistributed system models and enabling technologies -- Computer clusters for scalable parallel computing -- Virtual machines and virtualization of clusters and data centers -- Cloud platform architecture over virtualized data centers -- Service-oriented architectures for distributed computing -- Cloud programming and software environments -- Grid computing systems and resource management -- Peer-to-peer computing and overlay networks -- Ubiquitous clouds and the Internet of things.
520			_aDistributed 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 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
650		0	_aCloud computing _95120
650		0	_aElectronic data processing _xDistributed processing _9935
700	1		_aFox, Geoffrey C. _937407
700	1		_aDongarra, Jack. J. _937408
856			_uhttps://uowd.box.com/s/awqkbckqx30dvedoyetvm3olrhf6uzdp _zLocation Map
942			_cREGULAR _2ddc