A Systematic Literature Review on Virtual Machine Consolidation

被引:11
作者
Dias, Alexandre H. T. [1 ]
Correia, Luiz H. A. [1 ]
Malheiros, Neumar [1 ]
机构
[1] Univ Fed Lavras, POB 3037, BR-37200900 Lavras, MG, Brazil
关键词
Cloud computing; green computing; virtual machines consolidation; systematic literature review; SLA EFFICIENT CONSOLIDATION; AWARE RESOURCE-ALLOCATION; ENERGY-EFFICIENT; DYNAMIC CONSOLIDATION; ALGORITHM; POWER; PLACEMENT; SELECTION; PERFORMANCE; NETWORK;
D O I
10.1145/3470972
中图分类号
TP301 [理论、方法];
学科分类号
081202 ;
摘要
Virtual machine consolidation has been a widely explored topic in recent years due to Cloud Data Centers' effect on global energy consumption. Thus, academia and companies made efforts to achieve green computing, reducing energy consumption to minimize environmental impact. By consolidating Virtual Machines into a fewer number of Physical Machines, resource provisioning mechanisms can shutdown idle Physical Machines to reduce energy consumption and improve resource utilization. However, there is a tradeoff between reducing energy consumption while assuring the Quality of Service established on the Service Level Agreement. This work introduces a Systematic Literature Review of one year of advances in virtual machine consolidation. It provides a discussion on methods used in each step of the virtual machine consolidation, a classification of papers according to their contribution, and a quantitative and qualitative analysis of datasets, scenarios, and metrics.
引用
收藏
页数:38
相关论文
共 98 条
[11]   Performance Analysis of Heterogeneous Data Centers in Cloud Computing Using a Complex Queuing Model [J].
Bai, Wei-Hua ;
Xi, Jian-Qing ;
Zhu, Jia-Xian ;
Huang, Shao-Wei .
MATHEMATICAL PROBLEMS IN ENGINEERING, 2015, 2015
[12]  
Bajoria V, 2018, PROCEEDINGS OF THE 8TH INTERNATIONAL CONFERENCE CONFLUENCE 2018 ON CLOUD COMPUTING, DATA SCIENCE AND ENGINEERING, P125, DOI 10.1109/CONFLUENCE.2018.8442561
[13]  
Barham P., 2003, SIGOPS OPER SYST REV, V37, P164, DOI 10.1145/1165389.945462
[14]  
Barlaskar E, 2018, INT J GRID UTIL COMP, V9, P1
[15]   The case for energy-proportional computing [J].
Barroso, Luiz Andre ;
Hoelzle, Urs .
COMPUTER, 2007, 40 (12) :33-+
[16]  
Beloglazov Anton, 2010, Proceedings 2010 10th IEEE/ACM International Conference on Cluster, Cloud and Grid Computing (CCGrid), P577, DOI 10.1109/CCGRID.2010.45
[17]   Optimal online deterministic algorithms and adaptive heuristics for energy and performance efficient dynamic consolidation of virtual machines in Cloud data centers [J].
Beloglazov, Anton ;
Buyya, Rajkumar .
CONCURRENCY AND COMPUTATION-PRACTICE & EXPERIENCE, 2012, 24 (13) :1397-1420
[18]   Energy-aware resource allocation heuristics for efficient management of data centers for Cloud computing [J].
Beloglazov, Anton ;
Abawajy, Jemal ;
Buyya, Rajkumar .
FUTURE GENERATION COMPUTER SYSTEMS-THE INTERNATIONAL JOURNAL OF ESCIENCE, 2012, 28 (05) :755-768
[19]   Virtualization and consolidation: a systematic review of the past 10 years of research on energy and performance [J].
Bermejo, Belen ;
Juiz, Carlos ;
Guerrero, Carlos .
JOURNAL OF SUPERCOMPUTING, 2019, 75 (02) :808-836
[20]  
Beyer Betsy, 2016, Site reliability engineering: How Google runs production systems