Hyper-Flatnet: A novel network architecture for data centers

Abstract

Massive data centers form the core infrastructure support for the ever increasing cloud based services. Hence, the performance of data centers will have important influence on the scalability of these services. In particular, the data center network must be agile, available and scalable in order to respond to ever changing service requirements and application demands. Thus, the research community has proposed novel interconnect topologies including FatTree, DCell, BCube, in order to improve the performance of data centers. However, these topologies suffer from different issues such as poor scalability, bandwidth over subscription, or can be too expensive to construct. Motivated by these challenges, we propose and investigate a new topology called HyperFlatnet that combines the advantages of previous architectures while avoiding their drawbacks. HyperFlatnet is a cost effective and high-performance data center topology. It reduces dramatically the average path length and the network latency, it increases the aggregated bottleneck throughput and the bisection bandwidth compared to FlatNet connection network while using the same number of switches and links which makes the system more robust against link failures. 2015 IEEE.