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| Content Provider | IEEE Xplore Digital Library |
|---|---|
| Author | Lehrfeld, M.R. Simco, G. |
| Copyright Year | 2010 |
| Description | Author affiliation: Graduate School of Computer and Information Sciences, Nova Southeastern University, Fort Lauderdale, FL 33314-7796 (Lehrfeld, M.R.; Simco, G.) |
| 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. |
| Starting Page | 127 |
| Ending Page | 130 |
| File Size | 1329353 |
| Page Count | 4 |
| File Format | |
| ISBN | 9781424458547 |
| e-ISBN | 9781424458530 |
| DOI | 10.1109/SECON.2010.5453904 |
| Language | English |
| Publisher | Institute of Electrical and Electronics Engineers, Inc. (IEEE) |
| Publisher Date | 2010-03-18 |
| Publisher Place | USA |
| Access Restriction | Subscribed |
| Rights Holder | Institute of Electrical and Electronics Engineers, Inc. (IEEE) |
| Subject Keyword | Stochastic processes Peer to peer computing Network servers File servers Fluctuations Bandwidth Computer networks Inductors Degradation Computational modeling |
| Content Type | Text |
| Resource Type | Article |
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