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.
| Original language | American English |
|---|---|
| Pages | 127-130 |
| Number of pages | 4 |
| DOIs | |
| State | Published - Mar 21 2010 |
| Event | Proceedings of IEEE SoutheastCon 2010 - Duration: Mar 21 2010 → … |
Conference
| Conference | Proceedings of IEEE SoutheastCon 2010 |
|---|---|
| Period | 3/21/10 → … |
ASJC Scopus Subject Areas
- Computer Networks and Communications
- Software
- Electrical and Electronic Engineering
- Control and Systems Engineering
- Signal Processing
Keywords
- Content Management
- P2P
- Peer-to-peer computing
- computationaly modeling
- stochastic P2P networks
Disciplines
- Computer Sciences