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Predicting Properties of Congestion Events for a Queueing System With fBm Traffic

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4 Author(s)
Yasong Jin ; Kansas Univ., Lawrence ; Bali, S. ; Duncan, T.E. ; Frost, V.S.

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.

Published in:

Networking, IEEE/ACM Transactions on  (Volume:15 ,  Issue: 5 )

Date of Publication:

Oct. 2007

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