Optimized Cloud Resource Management and Scheduling: Theories and Practices
Optimized Cloud Resource Management and Scheduling 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 ref...
Gespeichert in:
| 1. Verfasser: | |
|---|---|
| Format: | Elektronisch E-Book |
| Sprache: | English |
| Veröffentlicht: |
Saint Louis
Elsevier Science
2014
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| Schlagworte: | |
| Zusammenfassung: | Optimized Cloud Resource Management and Scheduling 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. Explains how to optimally model and schedule computing resources in cloud computingProvides in depth quality analysis of different load-balance and energy-efficient scheduling algorithms for cloud data centers and Hadoop clustersIntroduces real-world applications, including business, scientific and related case studiesDiscusses different cloud platforms with real test-bed and simulation tools |
| Beschreibung: | Description based on publisher supplied metadata and other sources |
| Beschreibung: | 1 online resource (285 pages) |
| ISBN: | 9780128016459 9780128014769 |
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| spelling | Tian, Wenhong Dr Verfasser aut Optimized Cloud Resource Management and Scheduling Theories and Practices Saint Louis Elsevier Science 2014 © 2015 1 online resource (285 pages) txt rdacontent c rdamedia cr rdacarrier Description based on publisher supplied metadata and other sources Optimized Cloud Resource Management and Scheduling 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. Explains how to optimally model and schedule computing resources in cloud computingProvides in depth quality analysis of different load-balance and energy-efficient scheduling algorithms for cloud data centers and Hadoop clustersIntroduces real-world applications, including business, scientific and related case studiesDiscusses different cloud platforms with real test-bed and simulation tools Cloud computing -- Management Enterprise-Resource-Planning (DE-588)4678022-1 gnd rswk-swf Unternehmen (DE-588)4061963-1 gnd rswk-swf Cloud Computing (DE-588)7623494-0 gnd rswk-swf Unternehmen (DE-588)4061963-1 s Cloud Computing (DE-588)7623494-0 s Enterprise-Resource-Planning (DE-588)4678022-1 s 1\p DE-604 Zhao, Yong Dr Sonstige oth Erscheint auch als Druck-Ausgabe Tian, Wenhong Dr Optimized Cloud Resource Management and Scheduling : Theories and Practices 1\p cgwrk 20201028 DE-101 https://d-nb.info/provenance/plan#cgwrk |
| spellingShingle | Tian, Wenhong Dr Optimized Cloud Resource Management and Scheduling Theories and Practices Cloud computing -- Management Enterprise-Resource-Planning (DE-588)4678022-1 gnd Unternehmen (DE-588)4061963-1 gnd Cloud Computing (DE-588)7623494-0 gnd |
| subject_GND | (DE-588)4678022-1 (DE-588)4061963-1 (DE-588)7623494-0 |
| title | Optimized Cloud Resource Management and Scheduling Theories and Practices |
| title_auth | Optimized Cloud Resource Management and Scheduling Theories and Practices |
| title_exact_search | Optimized Cloud Resource Management and Scheduling Theories and Practices |
| title_full | Optimized Cloud Resource Management and Scheduling Theories and Practices |
| title_fullStr | Optimized Cloud Resource Management and Scheduling Theories and Practices |
| title_full_unstemmed | Optimized Cloud Resource Management and Scheduling Theories and Practices |
| title_short | Optimized Cloud Resource Management and Scheduling |
| title_sort | optimized cloud resource management and scheduling theories and practices |
| title_sub | Theories and Practices |
| topic | Cloud computing -- Management Enterprise-Resource-Planning (DE-588)4678022-1 gnd Unternehmen (DE-588)4061963-1 gnd Cloud Computing (DE-588)7623494-0 gnd |
| topic_facet | Cloud computing -- Management Enterprise-Resource-Planning Unternehmen Cloud Computing |
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