A MapReduce-supported Data Center Networking Topology

Several novel data center networking (DCN) topologies have been proposed to improve the topological properties of data centers. Unfortunately, it is ignored that whether these topologies are suited for the online applications and infrastructure services running on the corresponding data centers. In this paper, we propose a novel DCN topology, named HyperFat-tree Network (HFN). HFN incarnates the good characteristics of the BCube and Fat-tree topologies, and hence naturally supports the distributed data processing application MapReduce. We then address several challenging issues facing HFN to support MapReduce. Through analysis and simulations, we show that HFN possesses excellent properties and is a viable toplogy for MapReduce.