An energy-aware heuristic framework for virtual machine consolidation in Cloud computing

被引:0
作者
Zhibo Cao
Shoubin Dong
机构
[1] South China University of Technology,School of Computer Science and Engineering
来源
The Journal of Supercomputing | 2014年 / 69卷
关键词
Energy-performance tradeoff; Energy saving; VM consolidation; SLA violation;
D O I
暂无
中图分类号
学科分类号
摘要
Virtual machine (VM) consolidation in Cloud computing provides a great opportunity for energy saving. However, the obligation of providing suitable quality of service to end users leads to the necessity in dealing with energy-performance tradeoff. In this paper, we propose a redesigned energy-aware heuristic framework for VM consolidation to achieve a better energy-performance tradeoff. There are two main contributions in the framework: (1) establish a service level agreement (SLA) violation decision algorithm to decide whether a host is overload with SLA violation; (2) minimum power and maximum utilization policy is then proposed to improve the Minimum Power policy in previous work. Finally, we have evaluated our framework through simulation on large-scale experiments driven by workload traces from more than a thousand VMs, and the results show that our framework outperforms previous work. Specifically, it guarantees 21–34 % decrease in energy consumption, 84–92 % decrease in SLA violation, 87–94 % decrease in energy-performance metric, and 63 % decrease in execution time. And we further discuss why the redesigned framework outperforms the previous design.
引用
收藏
页码:429 / 451
页数:22
相关论文
共 50 条
[31]   MECpVmS: an SLA aware energy-efficient virtual machine selection policy for green cloud computing [J].
Mandal, Riman ;
Mondal, Manash Kumar ;
Banerjee, Sourav ;
Srivastava, Gautam ;
Alnumay, Waleed ;
Ghosh, Uttam ;
Biswas, Utpal .
CLUSTER COMPUTING-THE JOURNAL OF NETWORKS SOFTWARE TOOLS AND APPLICATIONS, 2023, 26 (01) :651-665
[32]   Utilisation aware virtual machine selection policy for workload consolidation in cloud data centres [J].
Dabhi, Dipak ;
Thakor, Devendra .
INTERNATIONAL JOURNAL OF COMMUNICATION NETWORKS AND DISTRIBUTED SYSTEMS, 2023, 29 (02) :125-148
[33]   Virtual Machine Placement Method for Energy Saving in Cloud Computing [J].
Wattanasomboon, Pragan ;
Somchit, Yuthapong .
2015 7TH INTERNATIONAL CONFERENCE ON INFORMATION TECHNOLOGY AND ELECTRICAL ENGINEERING (ICITEE), 2015, :275-280
[34]   Efficient cloud data center: An adaptive framework for dynamic Virtual Machine Consolidation [J].
Rozehkhani, Seyyed Meysam ;
Mahan, Farnaz ;
Pedrycz, Witold .
JOURNAL OF NETWORK AND COMPUTER APPLICATIONS, 2024, 226
[35]   Virtual Machine Consolidation Algorithm Based on Multi-objective Optimization in Cloud Computing [J].
Hu Z. ;
Xiao H. ;
Li K. .
Hunan Daxue Xuebao/Journal of Hunan University Natural Sciences, 2020, 47 (02) :116-124
[36]   Modeling Energy-Aware Cloud Federations with SRNs [J].
Bruneo, Dario ;
Longo, Francesco ;
Puliafito, Antonio .
TRANSACTIONS ON PETRI NETS AND OTHER MODELS OF CONCURRENCY VI, 2012, 7400 :277-307
[37]   Deep Learning Modified Reinforcement Learning with Virtual Machine Consolidation for Energy-Efficient Resource Allocation in Cloud Computing [J].
Dutta, Chiranjit ;
Rani, R. M. ;
Jain, Amar ;
Poonguzhali, I. ;
Salunke, Dipmala ;
Patel, Ruchi .
INTERNATIONAL JOURNAL OF COOPERATIVE INFORMATION SYSTEMS, 2025, 34 (02)
[38]   Failure-aware energy-efficient VM consolidation in cloud computing systems [J].
Sharma, Yogesh ;
Si, Weisheng ;
Sun, Daniel ;
Javadi, Bahman .
FUTURE GENERATION COMPUTER SYSTEMS-THE INTERNATIONAL JOURNAL OF ESCIENCE, 2019, 94 :620-633
[39]   Congestion-Aware and Energy-Aware Virtual Network Embedding [J].
Pham, Minh ;
Hoang, Doan B. ;
Chaczko, Zenon .
IEEE-ACM TRANSACTIONS ON NETWORKING, 2020, 28 (01) :210-223
[40]   A Virtual Machine Consolidation Algorithm Based on Dynamic Load Mean and Multi-Objective Optimization in Cloud Computing [J].
Li, Pingping ;
Cao, Jiuxin .
SENSORS, 2022, 22 (23)