DocumentCode :
2199477
Title :
Choke-based switching algorithm in stochastic P2P networks to reduce file download duration
Author :
Lehrfeld, Michael R. ; Simco, Greg
Author_Institution :
Grad. Sch. of Comput. & Inf. Sci., Nova Southeastern Univ., Fort Lauderdale, FL, USA
fYear :
2010
fDate :
18-21 March 2010
Firstpage :
127
Lastpage :
130
Abstract :
Content Delivery Networks download performance is dependent on byte-based or time-based switching algorithms. To overcome an extended relationship with a poor performing server, a client based choking algorithm was developed that enables clients to preemptively depart poor performing servers to decrease download duration. The choking algorithm employees a client based choke threshold that enables individual clients to determine when a server´s performance degrades to an unacceptable level. Two separate experiments were run through a peer-to-peer simulator: single-client and multi-client scenarios. Temporal fluctuations were incorporated as well as a stochastic AR-1 random process to closely mimic expected server loads. In both instances, the choking algorithm reduces download duration.
Keywords :
content management; peer-to-peer computing; choke-based switching algorithm; content delivery network; file download duration reduction; stochastic P2P networks; Bandwidth; Computational modeling; Computer networks; Degradation; File servers; Fluctuations; Inductors; Network servers; Peer to peer computing; Stochastic processes;
fLanguage :
English
Publisher :
ieee
Conference_Titel :
IEEE SoutheastCon 2010 (SoutheastCon), Proceedings of the
Conference_Location :
Concord, NC
Print_ISBN :
978-1-4244-5854-7
Type :
conf
DOI :
10.1109/SECON.2010.5453904
Filename :
5453904
Link To Document :
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