文章基本信息

标题：BHyberCube: A MapReduce aware heterogeneous architecture for data center
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作者：Jiang, Tao ; Gu, Huaxi ; Wang, Kun 等
期刊名称：Computer Science and Information Systems
印刷版ISSN：1820-0214
电子版ISSN：2406-1018
出版年度：2017
卷号：14
期号：3
页码：611-627
出版社：ComSIS Consortium
摘要：Some applications, like MapReduce, ask for heterogeneous network in data center network. However, the traditional network topologies, like fat tree and BCube, are homogeneous. MapReduce is a distributed data processing application. In this paper, we propose a BHyberCube network (BHC), which is a new heterogeneous network for MapReduce. Heterogeneous nodes and scalability issues are addressed considering the implementation of MapReduce in the existing topologies. Mathematical model is established to demonstrate the procedure of building a BHC. Comparisons of BHC and other topologies show the good properties BHC possesses for MapReduce. We also do simulations of BHC in multi-job injection and different probability of worker servers’ communications scenarios respectively. The result and analysis show that the BHC could be a viable interconnection topology in today’s data center for MapReduce.
关键词：Data center; MapReduce; topology