Energy Aware VM Consolidation Using Dynamic Threshold in Cloud Computing

被引：0

作者：

Singh, Parminder ^{[1
]}

Gupta, Pooja ^{[1
]}

Jyoti, Kiran ^{[2
]}

机构：

[1] Lovely Profess Univ, Sch Comp Sci & Engn, Phagwara, Punjab, India

[2] Guru Nanak Dev Engn Coll, Sch Comp Sci & Engn, Ludhiana, Punjab, India

来源：

PROCEEDINGS OF THE 2019 INTERNATIONAL CONFERENCE ON INTELLIGENT COMPUTING AND CONTROL SYSTEMS (ICCS) | 2019年

关键词：

Energy optimization; DVFS; VM Migration; Cloud Computing; VM Consolidation; VIRTUAL MACHINES; PERFORMANCE; ALGORITHMS;

D O I：

10.1109/iccs45141.2019.9065427

中图分类号：

TP [自动化技术、计算机技术];

学科分类号：

0812 ;

摘要：

Cloud datacenter consumes a lot of energy and there are significant opportunities to optimize the energy consumption. VM migration is one of the most renowned technique to migrate the VMs from the least used host and put it on sleep mode. However, this process also consumes a lot of energy and VM migration cost. Dynamic Voltage and Frequency Scaling (DVFS) can strength this process by giving only the required voltage to the running VMs on the host. In this paper, we proposed a hybrid approach for VM consolidation technique for energy optimization. The VM migration and DVFS decision applied for VM consolidation. A Workload based Dynamic Threshold (WBDTH) approach design with a prediction technique to adjust the upper and lower threshold values according to the arrival rate. The proposed algorithm optimized energy consumption with a minimum Service Level Agreement (SLA) violations.

引用

页码：1098 / 1102

页数：5

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