Dynamic Consolidation Based on Kth-Order Markov Model for Virtual Machines

doi:10.1007/978-3-030-17763-8_3

科研成果详情

题名	Dynamic Consolidation Based on Kth-Order Markov Model for Virtual Machines
作者	Jiang，Na
发表日期	2020
会议录名称	EAI/Springer Innovations in Communication and Computing
ISSN	2522-8595
页码	21-31
摘要	The rapid development of cloud computing technology has led to a high level of energy consumption. The central processing unit (CPU) of the data center and other resources often use less than half the rate; therefore, if the work of the virtual machine is focused on part of the server, and the idle server switches to low power mode, the power consumption of the data center can be greatly reduced. Traditional research into virtual machine consolidation is mainly based on the high load threshold of the current host load setting or periodically migrates, and the present study made predictions based on the timing of problems of lower prediction accuracy faced. To solve these problems, we consider the impact of the multi-order Markov model and the CPU state at different times, and propose a new hybrid sequence K Markov model for the next period of time of the host CPU load forecasting. Owing to the large-scale data experiment on the CloudSim simulation platform, the host load forecasting method proposed in this paper is compared with the traditional load detection method to verify that the proposed model has a large reduction in the number of virtual machine migrations and amount of data center energy consumption, and the violation of the service level agreement (SLA) is also at an acceptable level.
关键词	Cloud computing Dynamic virtual machine integration Hybrid Markov model
DOI	10.1007/978-3-030-17763-8_3
URL	查看来源
语种	英语English
Scopus入藏号	2-s2.0-85134329679
引用统计
文献类型	会议论文
条目标识符	https://repository.uic.edu.cn/handle/39GCC9TT/12869
专题	个人在本单位外知识产出
通讯作者	Jiang，Na
作者单位	Zhaotong University,Zhaotong,China
推荐引用方式 GB/T 7714	Jiang，Na. Dynamic Consolidation Based on Kth-Order Markov Model for Virtual Machines[C], 2020: 21-31.