Reducing operational costs through consolidation with resource prediction in the cloud

Proceedings - 12th IEEE/ACM International Symposium on Cluster, Cloud and Grid Computing, CCGrid 2012

Volumn , Issue , 2012, Pages 793-798

  Li, Jian ^a   Shuang, Kai ^a   Su, Sen ^a   Huang, Qingjia ^a   Xu, Peng ^a   Cheng, Xiang ^a   Wang, Jie ^b  

^a BEIJING UNIVERSITY OF POSTS AND TELECOMMUNICATIONS   (China)

^b UNIVERSITY OF MASSACHUSETTS LOWELL   (United States)

Author keywords

Consolidation; Data Center; Energy Efficiency; Forecast based Resource Provisioning

Indexed keywords

ASYMPTOTIC APPROXIMATION; BAYESIAN NETWORK MODELS; BIN PACKING PROBLEM; CLOUD DATA; DATA CENTERS; DIVERSE APPLICATIONS; DYNAMIC ALLOCATIONS; ELECTRICITY COSTS; NEAR-OPTIMAL SOLUTIONS; OFFLINE; ON-LINE COLORING; OPERATIONAL COSTS; PREDICTION ALGORITHMS; RELIABILITY COSTS; RESOURCE PREDICTION; RESOURCE PROVISIONING; SERVER COMPONENTS; WORKLOAD PATTERNS;

APPROXIMATION ALGORITHMS; BAYESIAN NETWORKS; CONSOLIDATION; COSTS; ENERGY EFFICIENCY; ENERGY UTILIZATION;

GRID COMPUTING;

EID: 84863698289     PISSN: None     EISSN: None     Source Type: Conference Proceeding    
DOI: 10.1109/CCGrid.2012.50     Document Type: Conference Paper

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