Abstract | ||
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In packet networks, congestion events tend to persist, producing large delays and long bursts of consecutive packet loss resulting in perceived performance degradations. The length and rate of these events have a significant effect on network quality of service (QoS). The packet delay resulting from these congestion events also influences QoS. In this paper a technique for predicting these properties of congestion events in the presence of fractional Brownian motion (fBm) traffic is developed. |
Year | DOI | Venue |
---|---|---|
2007 | 10.1109/TNET.2007.896538 | IEEE/ACM Trans. Netw. |
Keywords | Field | DocType |
Traffic control,Telecommunication traffic,Quality of service,Delay,Brownian motion,Force measurement,Loss measurement,Fractals,Performance loss,Degradation | Computer science,Network packet,Quality of service,Computer network,Packet loss,Queueing theory,Queueing system,Network congestion,Network traffic control,Fractional Brownian motion | Journal |
Volume | Issue | ISSN |
15 | 5 | 1063-6692 |
Citations | PageRank | References |
4 | 0.44 | 14 |
Authors | ||
4 |
Name | Order | Citations | PageRank |
---|---|---|---|
Yasong Jin | 1 | 5 | 0.89 |
Soshant Bali | 2 | 30 | 3.77 |
T. E. Duncan | 3 | 158 | 62.84 |
Victor S. Frost | 4 | 611 | 145.20 |