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A Constrained Bandit Approach for Online Dispatching

Published:20 January 2022Publication History
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Abstract

Online dispatching refers to the process (or an algorithm) that dispatches incoming jobs to available servers in realtime. The problem arises in many different fields. Examples include routing customer calls to representatives in a call center, assigning patients towards in a hospital, dispatching goods to different shipping companies, scheduling packets over multiple frequency channels in wireless communications, routing search queries to servers in a data center, selecting an advertisement to display to an Internet user, and allocating jobs to workers in crowdsourcing.

References

  1. P. Auer, N. Cesa-Bianchi, and P. Fischer. Finite-time analysis of the multiarmed bandit problem. Machine Learning, 47(2--3):235--256, May 2002.Google ScholarGoogle Scholar
  2. S. Kunniyur and R. Srikant. Analysis and design of an adaptive virtual queue (avq) algorithm for active queue management. ACM SIGCOMM Computer Communication Review, 31(4):123--134, 2001.Google ScholarGoogle ScholarDigital LibraryDigital Library
  3. T. Lattimore and C. Szepesv´ari. Bandit Algorithms. Cambridge University Press, 2020.Google ScholarGoogle ScholarCross RefCross Ref
  4. X. Liu, B. Li, P. Shi, and L. Ying. POND: Pessimistic-Optimistic oNline Dispatching. arXiv preprint arXiv:2010.09995, 2020.Google ScholarGoogle Scholar
  5. M. J. Neely. Stochastic network optimization with application to communication and queueing systems. Synthesis Lectures on Communication Networks, 3(1):1--211, 2010.Google ScholarGoogle ScholarCross RefCross Ref
  6. R. Srikant and L. Ying. Communication Networks: An Optimization, Control and Stochastic Networks Perspective. Cambridge University Press, 2014.Google ScholarGoogle ScholarDigital LibraryDigital Library

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        • Published in

          cover image ACM SIGMETRICS Performance Evaluation Review
          ACM SIGMETRICS Performance Evaluation Review  Volume 49, Issue 2
          September 2021
          73 pages
          ISSN:0163-5999
          DOI:10.1145/3512798
          Issue’s Table of Contents

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          Association for Computing Machinery

          New York, NY, United States

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          • Published: 20 January 2022

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