DocumentCode
66329
Title
All-to-All Communication in Random Regular Directed Graphs
Author
Joohwan Kim ; Ghayoori, Arash ; Srikant, R.
Author_Institution
Dept. of Electr. & Comput. Eng., Univ. of Illinois at UrbanaChampaign, Urbana, IL, USA
Volume
1
Issue
1
fYear
2014
fDate
Jan.-June 1 2014
Firstpage
43
Lastpage
52
Abstract
We consider networks formed by the union of M random 1-regular directed graphs. These graphs are also called permutation models in the literature. We first present a proof showing that the expansion factor of such graphs is greater than or equal to log N a.a.s when M > 4 log N; where N is the number of nodes in the network. The reason for considering such random graph models is their applicability in the design of peer-to-peer networks and data center networks of switches. Assuming that each node in the network has upload and download capacities greater than 8 log N; we also show that the above result implies that all-to-all communication is possible in such a network, if the total incoming data rate and the total outgoing data rate at each node are both less than or equal to 1.
Keywords
computational complexity; directed graphs; network theory (graphs); random processes; O(log N) time complexity; all-to-all communication; data center network design; graph expansion factor; network download capacities; network nodes; network upload capacities; peer-to-peer network design; permutation models; random 1-regular directed graphs; total incoming data rate; total outgoing data rate; Data models; Graph theory; Network topology; Peer-to-peer computing; Unicast;
fLanguage
English
Journal_Title
Network Science and Engineering, IEEE Transactions on
Publisher
ieee
ISSN
2327-4697
Type
jour
DOI
10.1109/TNSE.2014.2376777
Filename
6971166
Link To Document