DocumentCode
687895
Title
A new class of data center network structures
Author
Jianfei Zhang ; Zhiyi Fang ; Guannan Qu ; Zheng, S.Q.
Author_Institution
Coll. of Comput. Sci. & Technol., Jilin Univ., Changchun, China
fYear
2013
fDate
9-13 Dec. 2013
Firstpage
2852
Lastpage
2858
Abstract
Fat trees are considered suitable structures for data center interconnection networking. Such structures are rigid, and hard to scale up and scale out. A good data center network structure should have high scalability, efficient switch utilization, and high reliability. In this paper we present a class of data center network structures based on hypergraph theory and combinatorial block design theory. We show that our data center network structures are more flexible and scalable than fat trees. Using switches of the same size, our data center network structures can connect more nodes than fat trees, and it is possible to construct different structures with trade-offs among inter-cluster communication capacity, reliability, the number of switches used, and the number of connected nodes.
Keywords
computer centres; computer networks; graph theory; combinatorial block design theory; data center interconnection networking; data center network structures; fat trees; hypergraph theory; inter-cluster communication; Bandwidth; Binary trees; Bipartite graph; Educational institutions; Reliability; Servers; Switches;
fLanguage
English
Publisher
ieee
Conference_Titel
Global Communications Conference (GLOBECOM), 2013 IEEE
Conference_Location
Atlanta, GA
Type
conf
DOI
10.1109/GLOCOM.2013.6831507
Filename
6831507
Link To Document