TY - GEN
T1 - RCube
T2 - 31st IEEE International Parallel and Distributed Processing Symposium, IPDPS 2017
AU - Li, Zhenhua
AU - Yang, Yuanyuan
N1 - Publisher Copyright:
© 2017 IEEE.
PY - 2017/6/30
Y1 - 2017/6/30
N2 - Designing a cost-effective network for data centers that can deliver sufficient bandwidth and provide high availability has drawn tremendous attentions recently. In this paper, we propose a novel server-centric network structure called RCube, which is energy efficient and can deploy a redundancy scheme to improve the availability of data centers. Moreover, RCube shares many good properties with BCube, a well known server-centric network structure, yet its network size can be adjusted more conveniently. We also present a routing algorithm to find paths in RCube and an algorithm to build multiple parallel paths between any pair of source and destination servers. In addition, we theoretically analyze the power efficiency of the network and availability of RCube under server failure. Our comprehensive simulations demonstrate that RCube provides higher availability and flexibility to make trade-off among many factors, such as power consumption and aggregate throughput, than BCube, while delivering similar performance to BCube in many critical metrics, such as average path length, path distribution and graceful degradation, which makes RCube a very promising empirical structure for an enterprise data center network product.
AB - Designing a cost-effective network for data centers that can deliver sufficient bandwidth and provide high availability has drawn tremendous attentions recently. In this paper, we propose a novel server-centric network structure called RCube, which is energy efficient and can deploy a redundancy scheme to improve the availability of data centers. Moreover, RCube shares many good properties with BCube, a well known server-centric network structure, yet its network size can be adjusted more conveniently. We also present a routing algorithm to find paths in RCube and an algorithm to build multiple parallel paths between any pair of source and destination servers. In addition, we theoretically analyze the power efficiency of the network and availability of RCube under server failure. Our comprehensive simulations demonstrate that RCube provides higher availability and flexibility to make trade-off among many factors, such as power consumption and aggregate throughput, than BCube, while delivering similar performance to BCube in many critical metrics, such as average path length, path distribution and graceful degradation, which makes RCube a very promising empirical structure for an enterprise data center network product.
KW - Data center networks
KW - diameter
KW - high availability
KW - parallel paths
KW - power efficiency
KW - server-centric
UR - https://www.scopus.com/pages/publications/85027722381
U2 - 10.1109/IPDPS.2017.50
DO - 10.1109/IPDPS.2017.50
M3 - Conference contribution
AN - SCOPUS:85027722381
T3 - Proceedings - 2017 IEEE 31st International Parallel and Distributed Processing Symposium, IPDPS 2017
SP - 718
EP - 727
BT - Proceedings - 2017 IEEE 31st International Parallel and Distributed Processing Symposium, IPDPS 2017
PB - Institute of Electrical and Electronics Engineers Inc.
Y2 - 29 May 2017 through 2 June 2017
ER -