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Worst Average Queueing Delay of Multiple Leaky-Bucket-Regulated Streams and Jumping-Window Regulated Stream  

Lee, Daniel C. (Department of Electrical Engineering, University of Southern California)
Publication Information
Journal of Communications and Networks / v.6, no.1, 2004 , pp. 78-87 More about this Journal
Abstract
This paper presents deterministic, worst-case analysis of a queueing system whose multiple homogeneous input streams are regulated by the associated leaky buckets and the queueing system that has a single stream regulated by the jumping-window. Queueing delay averaged over all items is used for performance measure, and the worst-case input traffic and the worst-case performance are identified for both queueing systems. For the former queueing system, the analysis explores different phase relations among leaky-bucket token generations. This paper observes how the phase differences among the leaky buckets affect the worst-case queueing performance. Then, this paper relates the worst-case performance of the former queueing system with that of the latter (the single stream case, as in the aggregate streams from many users, whose item arrivals are regulated by one jumping-window). It is shown that the worst-case performance of the latter is identical to that of the former in which all leaky buckets have the same phase and have particular leaky bucket parameters.
Keywords
Leaky bucket; jumping window; queueing;
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