DocumentCode :
2029091
Title :
Energy and Performance Efficient Consolidation of Independent VMs in Virtualized Data Center by Exploiting VMs´ Memory Demand Heterogeneity
Author :
Takouna, Ibrahim ; Meinel, Christoph
Author_Institution :
Hasso Plattner Inst., Univ. of Potsdam, Potsdam, Germany
fYear :
2013
fDate :
9-12 Dec. 2013
Firstpage :
315
Lastpage :
320
Abstract :
Virtualization allows server consolidation to reduce energy consumption and agile resource provisioning. Consolidation with unaware of the memory-access demand can cause inefficient resource utilization and degrade system performance. In this paper, we propose efficient consolidation of VMs based on the memory-access demand of these VMs to improve overall system performance. Our approach is reactive and exploits the migration capability. We evaluate our algorithm using several simulation setups and different performance metrics. The results show that we can achieve balance in memory-bus utilization and improve of the system compared to CPU-based consolidation approach.
Keywords :
computer centres; power aware computing; resource allocation; virtual machines; virtualisation; agile resource provisioning; energy consumption reduction; energy efficient consolidation; independent VMs; memory demand heterogeneity; memory-access demand; memory-bus utilization; migration capability; overall system performance improvement; performance efficient consolidation; performance metrics; resource utilization; server consolidation; virtualization; virtualized data center; Bandwidth; Benchmark testing; Degradation; Energy consumption; Memory management; Servers; System performance; consolidation; management; memory-bus; powe; virtualization;
fLanguage :
English
Publisher :
ieee
Conference_Titel :
Utility and Cloud Computing (UCC), 2013 IEEE/ACM 6th International Conference on
Conference_Location :
Dresden
Type :
conf
DOI :
10.1109/UCC.2013.69
Filename :
6809425
Link To Document :
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