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Data center resource mapping algorithm based on the ant colony optimization

机译:基于蚁群优化的数据中心资源映射算法

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In this paper we present a data center resource mapping algorithm based on the ant colony optimization approach. The algorithm considers data centers to present IaaS model and can be used in a joint scheduler for all resource types. The algorithm uses ant colony optimization approach to map resource requests to physical computational nodes and data storages. The shortest path algorithm is used to map virtual channels to the data center's physical network channels and network switches. We then present a comparison of the developed algorithm with an algorithm based on greedy and limited exhaustive search strategies.
机译:本文介绍了一种基于蚁群优化方法的数据中心资源映射算法。 该算法考虑数据中心以呈现IAAS模型,可以用于所有资源类型的联合调度程序。 该算法使用蚁群优化方法将资源请求映射到物理计算节点和数据存储。 最短路径算法用于将虚拟通道映射到数据中心的物理网络通道和网络交换机。 然后,我们基于贪婪和有限的详尽搜索策略的算法表达了发达算法的比较。

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