A Study on Energy-Aware Virtual Machine Consolidation Policies in Cloud Data Centers Using Cloudsim Toolkit

被引:3
作者
Dabhi, Dipak [1 ]
Thakor, Devendra [1 ]
机构
[1] Uka Tarsadia Univ, CG Patel Inst Technol, Bardoli, India
来源
ADVANCES IN COMPUTING AND DATA SCIENCES, PT I | 2021年 / 1440卷
关键词
Cloud computing; VM consolidation; QoS; VM selection; Overload host; VM placement; Underload host; PLACEMENT;
D O I
10.1007/978-3-030-81462-5_30
中图分类号
TP18 [人工智能理论];
学科分类号
081104 ; 0812 ; 0835 ; 1405 ;
摘要
In cloud computing, many data centers are used to serve the user's service request and lead to high energy consumption. These vast data centers generate high carbon emissions in the environment and high operational costs for the cloud service provider. The method of reducing energy consumption by the data center is called Virtual Machine Consolidation (VMC). In VMC, one host's migration to another saves energy by putting some hosts to sleep mode. There are four VMC methods: overload detection of the host, underload detection host, VM selection, and VM placement. VMC improves the utilization of energy consumption in data centers with maintain Quality of Service (QoS). Since VM consolidation is an important area for research, many researchers are working on it. In this article, we implement and execute the different twenty VMC policies using PlanetLab workload traces in the CloudSim toolkit and perform a comparative analysis of simulation results.
引用
收藏
页码:327 / 337
页数:11
相关论文
共 29 条
[1]   Virtual machine consolidation enhancement using hybrid regression algorithms [J].
Abdelsamea, Amany ;
El-Moursy, Ali A. ;
Hemayed, Elsayed E. ;
Eldeeb, Hesham .
EGYPTIAN INFORMATICS JOURNAL, 2017, 18 (03) :161-170
[2]  
Arockia R.A., 2019, P 2019 IEEE INT C SY, P1
[3]  
Beloglazov A., 2013, PhD thesis
[4]   A survey on energy aware VM consolidation strategies [J].
Hamdi, Najet ;
Chainbi, Walid .
SUSTAINABLE COMPUTING-INFORMATICS & SYSTEMS, 2019, 23 :80-87
[5]  
John Nimmol P, 2020, 2020 4 INT C COMP ME, P614
[6]   An Energy Efficient and Adaptive Threshold VM Consolidation Framework for Cloud Environment [J].
Khattar, Nagma ;
Singh, Jaiteg ;
Sidhu, Jagpreet .
WIRELESS PERSONAL COMMUNICATIONS, 2020, 113 (01) :349-367
[7]   Dynamic VM Placement Method for Minimizing Energy and Carbon Cost in Geographically Distributed Cloud Data Centers [J].
Khosravi, Atefeh ko ;
Andrew, Lachlan L. H. ;
Buyya, Rajkumar .
IEEE TRANSACTIONS ON SUSTAINABLE COMPUTING, 2017, 2 (02) :183-196
[8]  
Li H., 2018, International Journal of Services Operations and Informatics, V9, P62
[9]   Energy-efficient and quality-aware VM consolidation method [J].
Li, Zhihua ;
Yu, Xinrong ;
Yu, Lei ;
Guo, Shujie ;
Chang, Victor .
FUTURE GENERATION COMPUTER SYSTEMS-THE INTERNATIONAL JOURNAL OF ESCIENCE, 2020, 102 :789-809
[10]  
Mahadevamangalam S., 2018, ENERGY AWARE ADAPTAT