Energy aware consolidation for cloud computing

Workshop on Power Aware Computing and Systems, HotPower 2008

Volumn , Issue , 2008, Pages

  Srikantaiah, Shekhar ^a   Kansal, Aman ^b   Zhao, Feng ^b  

^a PENNSYLVANIA STATE UNIVERSITY   (United States)

^b MICROSOFT RESEARCH   (United States)

Author keywords

[No Author keywords available]

Indexed keywords

CLOUD COMPUTING; ECONOMIC AND SOCIAL EFFECTS; ENERGY EFFICIENCY; ENERGY UTILIZATION; OPTIMIZATION;

BIN PACKING PROBLEM; CLOUD COMPUTING ENVIRONMENTS; EFFECTIVE SOLUTION; ENERGY OPTIMIZATION; ENERGY PERFORMANCE; INTER-RELATIONSHIPS; OPTIMAL OPERATING POINT; RESOURCE UTILIZATIONS;

POWER MANAGEMENT;

EID: 85021450123     PISSN: None     EISSN: None     Source Type: Conference Proceeding    
DOI: None     Document Type: Conference Paper

References (8)

1. CHEN, G., et al. Energy-aware server provisioning and load dispatching for connection-intensive internet services. In NSDI (2008).
2. GOMAA, M., et al. Heat-and-run: leveraging smt and cmp to manage power density through the operating system. SIGOPS Oper. Syst. Rev. 38, 5 (2004).
3. HEO, S., BARR, K., AND ASANOVIĆ, K. Reducing power density through activity migration. In ISLPED (2003).
4. KANSAL, A., AND ZHAO, F. Fine-grained energy profiling for power-aware application design. In Workshop on Hot Topics in Measurement and Modeling of Computer Systems (2008).
5. PADALA, P., et al. Adaptive control of virtualized resources in utility computing environments. In European Conference on Computer Systems (2007).
6. RANGANATHAN, P., et al. Ensemble-level power management for dense blade servers. In ISCA (2006).
7. SHEN, K., et al. Integrated resource management for cluster-based internet services. SIGOPS Oper. Syst. Rev. 36, SI (2002), 225-238.
8. WANG, X., AND CHEN, M. Cluster-level feedback power control for performance optimization. In HPCA (2008).