Resource Management in Cloud Data Centers: A Survey

被引:10
作者
Braiki, Khaoula [1 ]
Youssef, Habib [1 ]
机构
[1] Univ Sousse, ISITCom, PRINCE Res Lab, Sousse, Tunisia
来源
2019 15TH INTERNATIONAL WIRELESS COMMUNICATIONS & MOBILE COMPUTING CONFERENCE (IWCMC) | 2019年
关键词
Resource allocation; Resource provisioning; Energy consumption; Data centers; VIRTUAL MACHINE PLACEMENT; ANT COLONY SYSTEM; ENERGY-EFFICIENT; CPU UTILIZATION; CONSOLIDATION; ALGORITHM; ALLOCATION; PERFORMANCE; PREDICTION; OPTIMIZATION;
D O I
10.1109/iwcmc.2019.8766736
中图分类号
TP3 [计算技术、计算机技术];
学科分类号
0812 ;
摘要
Cloud computing faces many challenges which constitute research problems. The key challenge is to achieve good resource management that will result in minimum energy consumption. This problem has been the subject of extensive research. In this paper, we report major solutions to the existing work proposed for the infrastructure cloud. We categorize these solutions based on approach optimization, used methods, and objective models. The latter are introduced by mathematical formulations that may be classified as mono-objective and multi-objective formulations. Typically, the single objective takes into account energy. Whereas, the multi-objective considers others, like resource utilization. Extensive simulation, using cloudsim, shows that the multi-objective formulations provide significant improvement than the mono-objective ones. Indeed, the results show an improvement of as much as 12% in the average energy consumption and 15% in the average resource utilization.
引用
收藏
页码:1007 / 1012
页数:6
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