Criso: An Incremental Scalable and Cost-Effective Network Architecture for Data Centers
Hao Feng, Yuhui Deng, Xiao Qin, Geyong Min · IEEE Transactions on Network and Service Management · 2020
With the explosive data growth, an enormous number of computing and networking components (e.g., servers, switches, and wires) are continuously being augmented to data centers. Data center networks (DCNs) - maintaining a high network capacity - must be cost efficient, incrementally scalable, and fault-tolerant. To address these challenges, we propose in this study a new type of DCN architecture referred to asCriso. Different from the existing network architectures,Crisois designed hierarchically and recursively by employing two ports servers and commodity switches.Crisois constructed based on numerous isomorphicpods, each of which leverages external interfaces supplied by switches to connect with neighboring pods. Additionally, apod-based and fault-tolerant routing algorithm is designed to handle multiple failures.Crisohas an array of promising features, including being cost-efficient and delivering a high-network capacity that can be extended to millions of nodes. The analytic results demonstrate thatCrisois significantly superior to the four state-of-the-art data center structures in terms of network capacity, scalability, cost, power consumption, and other static characteristics. Furthermore, the experimental results unveil thatCrisosatisfies the fault-tolerant demands of modern data centers. Compared to the four existing topologies (i.e.,DCell,BCube,FiConn,Fat-Tree) that have been widely investigated,Crisois adroit at maintaining a balanced performance in terms of throughput and latency.