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Load Balancing of Grid Connected Data Centers Using Various Optimization Techniques

机译:使用各种优化技术的并网数据中心的负载平衡

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The recent technological advancements have led to an increase in demand of the internet services and hence the power used by the Internet Data Centers has been on an all-time high. Due to this enormous energy consumption of the data centers there is a significant increase in the load at locations where they are built imposing a major impact on the electric grid. In this paper a survey is conducted on grid-aware design optimization problem for cloud computing systems. Thereby, the load in the grid is balanced reasonably by carefully distributing the service requests among the data centers. By doing so the reliability and the robustness of the grid with respect to link breakage and load demand variations is also improve. The optimization problem is studied using Linear Programming Optimization Technique, Minmax Optimization Technique, Genetic Algorithm and Harmony Search Algorithm.
机译:最近的技术进步导致对互联网服务的需求增加,因此,互联网数据中心所使用的功率一直处于历史最高水平。由于数据中心的巨大能源消耗,因此,数据中心的建设地点的负载显着增加,对电网产生了重大影响。本文针对云计算系统的网格感知设计优化问题进行了调查。因此,通过仔细地在数据中心之间分配服务请求,可以合理地平衡网格中的负载。通过这样做,相对于链路断开和负载需求变化的电网的可靠性和鲁棒性也得到改善。使用线性规划优化技术,Minmax优化技术,遗传算法和和声搜索算法研究了优化问题。

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