RTT Prediction in Heavy Tailed Networks
| Autor: | Julio César Ramírez-Pacheco, Luis Rizo-Dominguez, Cesar Vargas-Rosales, Deni Torres-Roman, David Munoz-Rodriguez |
|---|---|
| Rok vydání: | 2014 |
| Předmět: |
Protocol (science)
SIMPLE (military communications protocol) business.industry Computer science Retransmission Quality of service ComputerSystemsOrganization_COMPUTER-COMMUNICATIONNETWORKS Real-time computing Round-trip delay time Computer Science Applications Modeling and Simulation Computer Science::Multimedia Computer Science::Networking and Internet Architecture The Internet Electrical and Electronic Engineering business Algorithm Jitter TRACE (psycholinguistics) |
| Zdroj: | IEEE Communications Letters. 18:700-703 |
| ISSN: | 1089-7798 |
| DOI: | 10.1109/lcomm.2014.013114.132668 |
| Popis: | TCP is the most used transport protocol in the Internet and it relies on RTT (Round Trip Time) predictions for the retransmission control algorithm. Most of the algorithms reported in the literature consider memoryless traffic characteristics and do not study the performance under heavy tailed scenarios present in the Internet. In this paper, an algorithm for RTT prediction in a heavy-tailed environment is introduced, and it is shown to follow closely and accurately the actual RTT. The proposed algorithm is simple and permits online implementations. Results are compared with those obtained with other methodologies for real trace sets. It is shown that the proposed algorithm leads to a lower prediction error. |
| Databáze: | OpenAIRE |
| Externí odkaz: |
|