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Heavy Traffic Joint Queue Length Distribution withoutResource Pooling

Published:23 February 2024Publication History
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Abstract

This paper studies the Heavy Traffic (HT) joint distribution of queue lengths in an Input-queued switch (IQ switch) operating under the MaxWeight scheduling policy. IQ switchserve as representative of SPNs that do not satisfy the socalled Complete Resource Pooling (CRP) condition, and consequently exhibit a multidimensional State Space Collapse (SSC). Except in special cases, only mean queue lengths of such non-CRP systems is known in the literature. In this paper, we develop the Transform method to study the joint distribution of queue lengths in non-CRP systems. The key challenge is in solving an implicit functional equation involving the Laplace transform of the HT limiting distribution. For the general n x n IQ switch that has n2 queues, under a conjecture on uniqueness of the solution of the functional equation, we obtain an exact joint distribution of the HT limiting queue-lengths in terms of a non-linear combination of 2n iid exponentials.

References

  1. D. A. Hurtado Lange and S. T. Maguluri. Heavy-traffic analysis of queueing systems with no complete resource pooling. Mathematics of Operations Research, 47(4):3129--3155, 2022.Google ScholarGoogle ScholarDigital LibraryDigital Library
  2. P. Jhunjhunwala and S. T. Maguluri. Heavy traffic distribution of queueing systems without resource pooling. Preprint arXiv:2206.06504, 2022.Google ScholarGoogle Scholar
  3. S. T. Maguluri and R. Srikant. Heavy traffic queue length behavior in a switch under the maxweight algorithm. Stochastic Systems, 6(1):211--250, 2016.Google ScholarGoogle ScholarCross RefCross Ref

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              • Published in

                cover image ACM SIGMETRICS Performance Evaluation Review
                ACM SIGMETRICS Performance Evaluation Review  Volume 51, Issue 4
                March 2024
                71 pages
                ISSN:0163-5999
                DOI:10.1145/3649477
                • Editor:
                • Bo Ji
                Issue’s Table of Contents

                Copyright © 2024 Copyright is held by the owner/author(s)

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                Association for Computing Machinery

                New York, NY, United States

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                • Published: 23 February 2024

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