DocumentCode :
1831788
Title :
Gossip-based topology inference for efficient overlay mapping on data centers
Author :
Schuett, T. ; Reinefeld, Alexander ; Schintke, Florian ; Hoffmann, Marie
Author_Institution :
Zuse Inst., Berlin, Germany
fYear :
2009
fDate :
9-11 Sept. 2009
Firstpage :
147
Lastpage :
150
Abstract :
We present a distributed algorithm for identifying the location of data centers and their relative sizes. This topology information can be used in P2P systems to improve the routing performance, replica placement, or job scheduling. The algorithm uses gossiping with local agglomerative clustering. It is robust to failures and it correctly identifies outliers that are caused, e.g., by temporarily overloaded nodes or network failures. We present empirical results on the Grid 5000 testbed.
Keywords :
computer centres; distributed algorithms; pattern clustering; peer-to-peer computing; scheduling; telecommunication network routing; telecommunication network topology; agglomerative clustering; data center location identification; distributed algorithm; gossip-based topology inference; job scheduling; overlay mapping; peer-to-peer system; replica placement; routing performance; Clustering algorithms; Delay; Distributed algorithms; IP networks; Inference algorithms; Network topology; Peer to peer computing; Robustness; Routing; Testing;
fLanguage :
English
Publisher :
ieee
Conference_Titel :
Peer-to-Peer Computing, 2009. P2P '09. IEEE Ninth International Conference on
Conference_Location :
Seattle, WA
Print_ISBN :
978-1-4244-5066-4
Electronic_ISBN :
978-1-4244-5067-1
Type :
conf
DOI :
10.1109/P2P.2009.5284553
Filename :
5284553
Link To Document :
بازگشت