Intelligent Strategy of Allocation resource for Cloud Datacenter Based on MAS & CP approach

被引:1
作者
Merzoug, Soltane [1 ]
Kazar, Okba [2 ]
Derdour, Makhlouf [3 ]
机构
[1] El Oued Univ, Dept Math & Comp Sci, El Oued, Algeria
[2] Biskra Univ, Dept Math & Comp Sci, Biskra, Algeria
[3] Larbi Tebessi Univ, Dept Math & Comp Sci, Tebessa, Algeria
来源
ACM PROCEEDINGS OF INTERNATIONAL CONFERENCE OF COMPUTING FOR ENGINEERING AND SCIENCE (ICCES'17) | 2017年
关键词
Cloud Computing; multi agent system; allocation resources; resources management;
D O I
10.1145/3129186.3129197
中图分类号
TP39 [计算机的应用];
学科分类号
081203 ; 0835 ;
摘要
The massive diffusion of Cloud services in the internet led to increasing demands of services and cloud infrastructure are conduct to an increasing in energy consumption in data centers, which has presents interesting great challenge. In this paper, we propose new strategy of allocation resources, with intelligent management of resources our approach based on constraint programming (CP), according to the autonomous resources allocation using multi-agent systems (SMA). At First, we make a literature review of various solutions that have been proposed in order to optimize Cloud energy consumption; Second, we offer a logical solution to manage physical and virtual resources in data center. Thirdly to validate our approach we use omnet and Ican cloud to implement all scenario of simulation. At the end, we conclude this paper by future work
引用
收藏
页码:50 / 55
页数:6
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