Téléchargez le livre : Optimized Cloud Resource Management and Scheduling

Optimized Cloud Resource Management and Scheduling

Theories and Practices

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Éditeur :

Morgan Kaufmann


Paru le : 2014-10-15



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Description
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 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
Pages
284 pages
Collection
n.c
Parution
2014-10-15
Marque
Morgan Kaufmann
EAN papier
9780128014769
EAN PDF
9780128016459
Informations sur l'ebook
Nombre pages copiables
28
Nombre pages imprimables
28
Taille du fichier
7475 Ko
Ce livre est accessible aux handicaps Voir les informations sur l'accessibilité
Prix
64,30 €
EAN EPUB SANS DRM
9780128016459
Informations sur l'ebook
Ce livre est accessible aux handicaps Voir les informations sur l'accessibilité
Prix
64,30 €
Dr. Wenhong Tian has a PhD from Computer Science Department of North Carolina State University(NCSU) and did post-doc with joint funding from Ork Ridge National Lab and NCSU. He is now an associate professor at University of Electronic Science and Technology of China. His research interests include modeling and performance analysis of communication networks, Cloud computing and bio-computing. He has published more than 40 journal /conference papers in related areas.Prof. Yong Zhao has a PhD from Computer Science Department of Chicago University (under supervising of Prof. Ian Foster); his is now a professor at University of Electronic Science and Technology of China. His research interests include Grid computing, large-data process in Cloud computing etc. He published about 30 journal and conference papers in related areas.

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