A New Scalable and Energy Efficient Algorithm for VMs Reassignment in Cloud Data Centers

被引：1
|
作者：
Hadji, Makhlouf [1 ]
Djenane, Nabila [2 ]
Aoudjit, Rachida [2 ]
Bouzefrane, Samia [3 ]
机构：
[1] Technol Res Inst SystemX, Palaiseau, France
[2] Univ Mouloud Mameri Tizi Ouzou, LARI Lab, Tizi Ouzou, Algeria
[3] CEDRIC Lab, Conservatoire Natl Arts & Metiers, Paris, France
来源：
2016 IEEE 4TH INTERNATIONAL CONFERENCE ON FUTURE INTERNET OF THINGS AND CLOUD WORKSHOPS (FICLOUDW) | 2016年
关键词：
Cloud Data Centers; Energy; Migration; Scalability; Optimization;
D O I：
10.1109/W-FiCloud.2016.69
中图分类号：
TP301 [理论、方法];
学科分类号：
081202 ;
摘要：
To improve resource utilization in Cloud Data Centers and in order to reduce energy consumption at the same time, reassignment of services is required and leads to efficient operational costs. This paper presents a new and scalable algorithm based on b-matching theory to judiciously replace resources (considered as Virtual Machines in our work) according to energy consumption constraints. Our algorithm is benchmarked by an exact approach based on an Integer Linear Program (ILP) formulation of the Bin-Packing problem. The b-Matching algorithm allows to find near-optimal solutions and scale for large problem instances.
引用
收藏
页码：310 / 314
页数：5
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