03360cam a2200457 a 4500003000400000005001700004008004100021020002200062040000900084042000800093082002000101100001600121100002000137100002100157245013900178260005200317260005400369300001900423300001100442336002600453337002700479338003100506504005100537505049100588520142501079650002202504650002302526650001302549650002102562650003102583650002802614700002102642700002002663906004502683942000702728942000802735942000802743942001102751999001702762952012302779OSt20260829100022.0111012s2012 ne a b 001 0 eng  a978-93-81269-23-7 cAKCL apcc00a004.6782bHWA-D1 aHwang, Kai.1 aGeoffrey C. Fox1 aJack J. Dongarra10aDistributed and Cloud Computing :bFrom Parallel Processing to the Internet of Things /cKai Hwang, Geoffrey C. Fox, Jack J. Dongarra. aAmsterdam ;aBoston :bMorgan Kaufmann,cc2012. aNew Delhi:aElsevier, RELX India Pvt. Ltd.,b2024 axxii, 648 p. : c24 cm. atextbtxt2rdacontent amicroformbh2rdamedia amicrofichebhe2rdacarrier aIncludes bibliographical references and index.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. aDistributed and Cloud Computing: From Parallel Processing to the Internet of Things offers complete coverage of modern distributed computing technology including clusters, the grid, service-oriented architecture, massively parallel processors, peer-to-peer networking, and cloud computing. It is the first modern, up-to-date distributed systems textbook; it explains how to create high-performance, scalable, reliable systems, exposing the design principles, architecture, and innovative applications of parallel, distributed, and cloud computing systems. Topics covered by this book include: facilitating management, debugging, migration, and disaster recovery through virtualization; clustered systems for research or ecommerce applications; designing systems as web services; and social networking systems using peer-to-peer computing. The principles of cloud computing are discussed using examples from open-source and commercial applications, along with case studies from the leading distributed computing vendors such as Amazon, Microsoft, and Google. Each chapter includes exercises and further reading, with lecture slides and more available online. This book will be ideal for students taking a distributed systems or distributed computing class, as well as for professional system designers and engineers looking for a reference to the latest distributed technologies including cloud, P2P and grid computing. 0aComputer Science  0aWide Area Networks 0aInternet 0aCloud computing. 0aElectronic data processing 0xDistributed processing.1 aFox, Geoffrey C.1 aDongarra, J. J. a7bcbccorignewd1eecipf20gy-gencatlg cBK 2ddc 2ddc 2ddcn0 c45053d45053 00102ddc4070aAKCLbAKCLd2026-08-29g725.00l0o004.6782 HWA-Dp69383r2026-08-29 09:59:16v725.00w2026-08-29yBK