Energy Efficient VM Selection Using CSOA-VM Model in Cloud Data Centers

IF 7.3 2区 计算机科学 Q1 COMPUTER SCIENCE, ARTIFICIAL INTELLIGENCE
Mandeep Singh Devgan, Tajinder Kumar, Purushottam Sharma, Xiaochun Cheng, Shashi Bhushan, Vishal Garg
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Abstract

The cloud data centres evolved with an issue of energy management due to the constant increase in size, complexity and enormous consumption of energy. Energy management is a challenging issue that is critical in cloud data centres and an important concern of research for many researchers. In this paper, we proposed a cuckoo search (CS)-based optimisation technique for the virtual machine (VM) selection and a novel placement algorithm considering the different constraints. The energy consumption model and the simulation model have been implemented for the efficient selection of VM. The proposed model CSOA-VM not only lessens the violations at the service level agreement (SLA) level but also minimises the VM migrations. The proposed model also saves energy and the performance analysis shows that energy consumption obtained is 1.35 kWh, SLA violation is 9.2 and VM migration is about 268. Thus, there is an improvement in energy consumption of about 1.8% and a 2.1% improvement (reduction) in violations of SLA in comparison to existing techniques.

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基于CSOA-VM模型的云数据中心节能虚拟机选择
由于规模、复杂性和巨大的能源消耗不断增加,云数据中心的发展伴随着能源管理问题。能源管理是一个具有挑战性的问题,在云数据中心中至关重要,也是许多研究人员关注的一个重要问题。在本文中,我们提出了一种基于布谷鸟搜索(CS)的虚拟机选择优化技术和一种考虑不同约束条件的新的虚拟机放置算法。为了实现虚拟机的高效选择,建立了虚拟机能耗模型和仿真模型。提出的CSOA-VM模型不仅减少了服务水平协议(SLA)级别的冲突,而且减少了虚拟机迁移。性能分析表明,该模型的能耗为1.35 kWh, SLA违规9.2次,VM迁移约268次。因此,与现有技术相比,能耗提高约1.8%,违反SLA的情况提高(减少)2.1%。
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来源期刊
CAAI Transactions on Intelligence Technology
CAAI Transactions on Intelligence Technology COMPUTER SCIENCE, ARTIFICIAL INTELLIGENCE-
CiteScore
11.00
自引率
3.90%
发文量
134
审稿时长
35 weeks
期刊介绍: CAAI Transactions on Intelligence Technology is a leading venue for original research on the theoretical and experimental aspects of artificial intelligence technology. We are a fully open access journal co-published by the Institution of Engineering and Technology (IET) and the Chinese Association for Artificial Intelligence (CAAI) providing research which is openly accessible to read and share worldwide.
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