A speculative approach to spatial‐temporal efficiency with multi‐objective optimization in a heterogeneous cloud environment

A heterogeneous cloud system, for example, a Hadoop 2.6.0 platform, provides distributed but cohesive services with rich features on large‐scale management, reliability, and error tolerance. As big data processing is concerned, newly built cloud clusters meet the challenges of performance optimizati...

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Veröffentlicht in:	Security and communication networks 2016-11, Vol.9 (17), p.4002-4012
Hauptverfasser:	Liu, Qi, Cai, Weidong, Shen, Jian, Fu, Zhangjie, Liu, Xiaodong, Linge, Nigel
Format:	Artikel
Sprache:	eng
Schlagworte:	Algorithms Cloud computing cloud storage Clusters Efficiency load balancing MapReduce Mathematical models Multiple objective analysis multi‐objective optimization Occupation prediction model Task scheduling
Online-Zugang:	Volltext
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