Optimized Cloud Resource Management and Scheduling: Theories and Practices

This book identifies research directions and technologies that will facilitate efficient management and scheduling of computing resources in cloud data centers supporting scientific, industrial, business, and consumer applications. It serves as a valuable reference for systems architects, practition...

Ausführliche Beschreibung

Gespeichert in:
Bibliographische Detailangaben
Hauptverfasser: Tian, Wenhong, Zhao, Yong
Format: Buch
Sprache:eng
Schlagworte:
Online-Zugang:Volltext
Tags: Tag hinzufügen
Keine Tags, Fügen Sie den ersten Tag hinzu!
container_end_page
container_issue
container_start_page
container_title
container_volume
creator Tian, Wenhong
Zhao, Yong
description This book identifies research directions and technologies that will facilitate efficient management and scheduling of computing resources in cloud data centers supporting scientific, industrial, business, and consumer applications. It serves as a valuable reference for systems architects, practitioners, developers, researchers and graduate level students. It explains how to optimally model and schedule computing resources in cloud computing; provides in depth quality analysis of different load-balance and energy-efficient scheduling algorithms for cloud data centers and Hadoop clusters; introduces real-world applications, including business, scientific and related case studies; discusses different cloud platforms with real test-bed and simulation tools. --
doi_str_mv 10.1016/C2013-0-13415-0
format Book
fullrecord <record><control><sourceid>proquest_skill</sourceid><recordid>TN_cdi_skillsoft_books24x7_bks00077364</recordid><sourceformat>XML</sourceformat><sourcesystem>PC</sourcesystem><sourcerecordid>EBC1820203</sourcerecordid><originalsourceid>FETCH-LOGICAL-a19030-ef127e3294bbdc7901523d937c10796749dd86591d5e5cb4d5e5a8eda47faf483</originalsourceid><addsrcrecordid>eNotj81PhDAQxWuMxnXl7JWTntCZttD2qGT9SNZsosYrKXRYERZWConxr5cNHl5eXuaXyXuMXSLcIGBym3JAEUGEQmIcwRELjNKAfFIiY3PMzucgVaJP2UKbRHHDUZyxwPsvgOmCAhQuGN_sh2pX_ZIL06YbXfhKvhv7gsIX29ot7agdQtu68K34JDc2Vbu9YCelbTwF_75kHw-r9_QpWm8en9O7dWTRgICISuSKBDcyz12hDGDMhTNCFQhqaiSNczqJDbqY4iKXB7OanJWqtKXUYsmu5se-rprGd-WQ5V1Xey5_VJbXftqhlEjkBF7P4L7vvkfyQ0YHsJi697bJVvcpag4chPgDthRXXA</addsrcrecordid><sourcetype>Aggregation Database</sourcetype><iscdi>true</iscdi><recordtype>book</recordtype><pqid>EBC1820203</pqid></control><display><type>book</type><title>Optimized Cloud Resource Management and Scheduling: Theories and Practices</title><source>O'Reilly Online Learning: Academic/Public Library Edition</source><creator>Tian, Wenhong ; Zhao, Yong</creator><creatorcontrib>Tian, Wenhong ; Zhao, Yong</creatorcontrib><description>This book identifies research directions and technologies that will facilitate efficient management and scheduling of computing resources in cloud data centers supporting scientific, industrial, business, and consumer applications. It serves as a valuable reference for systems architects, practitioners, developers, researchers and graduate level students. It explains how to optimally model and schedule computing resources in cloud computing; provides in depth quality analysis of different load-balance and energy-efficient scheduling algorithms for cloud data centers and Hadoop clusters; introduces real-world applications, including business, scientific and related case studies; discusses different cloud platforms with real test-bed and simulation tools. --</description><edition>1</edition><identifier>ISBN: 0128014768</identifier><identifier>ISBN: 9780128014769</identifier><identifier>ISBN: 0128016450</identifier><identifier>ISBN: 9780128016459</identifier><identifier>EISBN: 9780128016459</identifier><identifier>EISBN: 0128016450</identifier><identifier>DOI: 10.1016/C2013-0-13415-0</identifier><identifier>OCLC: 896729213</identifier><identifier>LCCallNum: QA76.585 .T536 2015eb</identifier><language>eng</language><publisher>Chantilly: Elsevier Science &amp; Technology</publisher><subject>Cloud computing ; Management</subject><creationdate>2014</creationdate><tpages>285</tpages><format>285</format><woscitedreferencessubscribed>false</woscitedreferencessubscribed></display><links><openurl>$$Topenurl_article</openurl><openurlfulltext>$$Topenurlfull_article</openurlfulltext><thumbnail>$$Tsyndetics_thumb_exl</thumbnail><link.rule.ids>306,776,780,782,27904</link.rule.ids></links><search><creatorcontrib>Tian, Wenhong</creatorcontrib><creatorcontrib>Zhao, Yong</creatorcontrib><title>Optimized Cloud Resource Management and Scheduling: Theories and Practices</title><description>This book identifies research directions and technologies that will facilitate efficient management and scheduling of computing resources in cloud data centers supporting scientific, industrial, business, and consumer applications. It serves as a valuable reference for systems architects, practitioners, developers, researchers and graduate level students. It explains how to optimally model and schedule computing resources in cloud computing; provides in depth quality analysis of different load-balance and energy-efficient scheduling algorithms for cloud data centers and Hadoop clusters; introduces real-world applications, including business, scientific and related case studies; discusses different cloud platforms with real test-bed and simulation tools. --</description><subject>Cloud computing</subject><subject>Management</subject><isbn>0128014768</isbn><isbn>9780128014769</isbn><isbn>0128016450</isbn><isbn>9780128016459</isbn><isbn>9780128016459</isbn><isbn>0128016450</isbn><fulltext>true</fulltext><rsrctype>book</rsrctype><creationdate>2014</creationdate><recordtype>book</recordtype><sourceid/><recordid>eNotj81PhDAQxWuMxnXl7JWTntCZttD2qGT9SNZsosYrKXRYERZWConxr5cNHl5eXuaXyXuMXSLcIGBym3JAEUGEQmIcwRELjNKAfFIiY3PMzucgVaJP2UKbRHHDUZyxwPsvgOmCAhQuGN_sh2pX_ZIL06YbXfhKvhv7gsIX29ot7agdQtu68K34JDc2Vbu9YCelbTwF_75kHw-r9_QpWm8en9O7dWTRgICISuSKBDcyz12hDGDMhTNCFQhqaiSNczqJDbqY4iKXB7OanJWqtKXUYsmu5se-rprGd-WQ5V1Xey5_VJbXftqhlEjkBF7P4L7vvkfyQ0YHsJi697bJVvcpag4chPgDthRXXA</recordid><startdate>2014</startdate><enddate>2014</enddate><creator>Tian, Wenhong</creator><creator>Zhao, Yong</creator><general>Elsevier Science &amp; Technology</general><general>Morgan Kaufmann is an imprint of Elsevier</general><scope/></search><sort><creationdate>2014</creationdate><title>Optimized Cloud Resource Management and Scheduling</title><author>Tian, Wenhong ; Zhao, Yong</author></sort><facets><frbrtype>5</frbrtype><frbrgroupid>cdi_FETCH-LOGICAL-a19030-ef127e3294bbdc7901523d937c10796749dd86591d5e5cb4d5e5a8eda47faf483</frbrgroupid><rsrctype>books</rsrctype><prefilter>books</prefilter><language>eng</language><creationdate>2014</creationdate><topic>Cloud computing</topic><topic>Management</topic><toplevel>online_resources</toplevel><creatorcontrib>Tian, Wenhong</creatorcontrib><creatorcontrib>Zhao, Yong</creatorcontrib></facets><delivery><delcategory>Remote Search Resource</delcategory><fulltext>fulltext</fulltext></delivery><addata><au>Tian, Wenhong</au><au>Zhao, Yong</au><format>book</format><genre>book</genre><ristype>BOOK</ristype><btitle>Optimized Cloud Resource Management and Scheduling: Theories and Practices</btitle><date>2014</date><risdate>2014</risdate><isbn>0128014768</isbn><isbn>9780128014769</isbn><isbn>0128016450</isbn><isbn>9780128016459</isbn><eisbn>9780128016459</eisbn><eisbn>0128016450</eisbn><abstract>This book identifies research directions and technologies that will facilitate efficient management and scheduling of computing resources in cloud data centers supporting scientific, industrial, business, and consumer applications. It serves as a valuable reference for systems architects, practitioners, developers, researchers and graduate level students. It explains how to optimally model and schedule computing resources in cloud computing; provides in depth quality analysis of different load-balance and energy-efficient scheduling algorithms for cloud data centers and Hadoop clusters; introduces real-world applications, including business, scientific and related case studies; discusses different cloud platforms with real test-bed and simulation tools. --</abstract><cop>Chantilly</cop><pub>Elsevier Science &amp; Technology</pub><doi>10.1016/C2013-0-13415-0</doi><oclcid>896729213</oclcid><tpages>285</tpages><edition>1</edition></addata></record>
fulltext fulltext
identifier ISBN: 0128014768
ispartof
issn
language eng
recordid cdi_skillsoft_books24x7_bks00077364
source O'Reilly Online Learning: Academic/Public Library Edition
subjects Cloud computing
Management
title Optimized Cloud Resource Management and Scheduling: Theories and Practices
url https://sfx.bib-bvb.de/sfx_tum?ctx_ver=Z39.88-2004&ctx_enc=info:ofi/enc:UTF-8&ctx_tim=2025-01-23T10%3A55%3A04IST&url_ver=Z39.88-2004&url_ctx_fmt=infofi/fmt:kev:mtx:ctx&rfr_id=info:sid/primo.exlibrisgroup.com:primo3-Article-proquest_skill&rft_val_fmt=info:ofi/fmt:kev:mtx:book&rft.genre=book&rft.btitle=Optimized%20Cloud%20Resource%20Management%20and%20Scheduling:%20Theories%20and%20Practices&rft.au=Tian,%20Wenhong&rft.date=2014&rft.isbn=0128014768&rft.isbn_list=9780128014769&rft.isbn_list=0128016450&rft.isbn_list=9780128016459&rft_id=info:doi/10.1016/C2013-0-13415-0&rft_dat=%3Cproquest_skill%3EEBC1820203%3C/proquest_skill%3E%3Curl%3E%3C/url%3E&rft.eisbn=9780128016459&rft.eisbn_list=0128016450&disable_directlink=true&sfx.directlink=off&sfx.report_link=0&rft_id=info:oai/&rft_pqid=EBC1820203&rft_id=info:pmid/&rfr_iscdi=true