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

Soltane Merzoug, O. Kazar, M. Derdour
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引用次数: 2

Abstract

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
基于MAS和CP方法的云数据中心资源智能分配策略
随着云服务在互联网上的大规模扩散,对服务和云基础设施的需求不断增加,导致数据中心的能源消耗不断增加,这对数据中心的能源消耗提出了有趣的巨大挑战。本文根据多智能体系统(SMA)的自主资源分配,提出了一种新的资源分配策略,即基于约束规划(CP)的资源智能管理方法。首先,我们对已经提出的各种解决方案进行文献综述,以优化云能源消耗;其次,我们提供了一个逻辑解决方案来管理数据中心的物理和虚拟资源。第三,为了验证我们的方法,我们使用omnet和Ican云实现了所有场景的仿真。最后,对本文的工作进行了总结
本文章由计算机程序翻译,如有差异,请以英文原文为准。
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