Geodesic
BHyberCube: a MapReduce aware heterogeneous architecture for data center
Computer Science and Information Systems, Tome 14 (2017) no. 3

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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.
Keywords: Data center, MapReduce, topology 
Tao Jiang; Huaxi Gu; Kun Wang; Xiaoshan Yu1; Yunfeng Lu. BHyberCube: a MapReduce aware heterogeneous architecture for data center. Computer Science and Information Systems, Tome 14 (2017) no. 3. http://geodesic.mathdoc.fr/item/CSIS_2017_14_3_a5/
@article{CSIS_2017_14_3_a5,
     author = {Tao Jiang and Huaxi Gu and Kun Wang and Xiaoshan Yu1 and Yunfeng Lu},
     title = {BHyberCube: a {MapReduce} aware heterogeneous architecture for data center},
     journal = {Computer Science and Information Systems},
     year = {2017},
     volume = {14},
     number = {3},
     url = {http://geodesic.mathdoc.fr/item/CSIS_2017_14_3_a5/}
}
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