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Towards efficient operation of internet data center networks: Joint data placement and flow control for cost optimization

机译:致力于互联网数据中心网络的高效运营:联合数据放置和流量控制以优化成本

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摘要

The problem of cost-efficient operation of data center networks used to deliver file sharing services is studied. The aggregate costs are split into server-load-related and link-load-related shares. Thus, the problem of interest is formulated as one of joint data placement and flow control, and mixed integer-linear programming is used to compute the optimal solution. The high complexity of the latter motivated us to design two additional sets of strategies, based on data coding and heuristics, respectively. With coding, a distributed algorithm for the problem is developed. In the simulation experiments, carried out based on actual data center information, network topology and link cost, as well as electricity prices, the advantages of data coding, in particular in the context of multicast, and the impact of different factors such as the network topology and service popularity, on the total cost incurred by all considered strategies, are examined. Network coding with multicast is shown to provide cost savings in the order of 30-80%, depending on the specific context under consideration, relative to the other optimization strategies and heuristic methods examined in this work. (C) 2015 Elsevier B.V. All rights reserved.
机译:研究了用于提供文件共享服务的数据中心网络的经济高效运行问题。总成本分为与服务器负载有关的份额和与链路负载有关的份额。因此,感兴趣的问题被公式化为联合数据放置和流控制之一,并且使用混合整数线性规划来计算最优解。后者的高度复杂性促使我们分别基于数据编码和启发式方法设计另外两组策略。通过编码,开发了针对该问题的分布式算法。在仿真实验中,根据实际数据中心信息,网络拓扑结构和链路成本以及电价,数据编码的优势(尤其是在多播的情况下)以及不同因素(例如网络)的影响进行了仿真对所有考虑的策略所产生的总成本进行拓扑和服务普及度的检查。与正在研究的其他优化策略和启发式方法相比,根据所考虑的具体情况,使用多播的网络编码可节省约30-80%的成本。 (C)2015 Elsevier B.V.保留所有权利。

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