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Effect of proactive serving on user delay reduction in service systems

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Published:16 June 2014Publication History

ABSTRACT

In online service systems, delay experienced by a user from the service request to the service completion is one of the most critical performance metrics. To improve user delay experience, in this paper, we investigate a novel aspect of system design: proactive serving, where the system can predict future user request arrivals and allocate its capacity to serve these upcoming requests proactively. In particular, we investigate the average user delay under proactive serving from a queuing theory perspective. We show that proactive serving reduces the average user delay exponentially (as a function of the prediction window size) under M/M/1 queueing models. Our simulation results show that, for G/G/1 queueing models, the average user delay also decreases significantly under proactive serving.

References

  1. B. Coleman. Quality vs. performance in lookahead scheduling. In JCIS, 2006.Google ScholarGoogle ScholarCross RefCross Ref
  2. M. Mandelbaum and D. Shabtay. Scheduling unit length jobs on parallel machines with lookahead information. Journal of Scheduling, 2011. Google ScholarGoogle ScholarDigital LibraryDigital Library
  3. J. Spencer, M. Sudan, and K. Xu. Queueing with future information. arXiv:1211.0618, 2012.Google ScholarGoogle Scholar
  4. J. Tadrous, A. Eryilmaz, and H. El Gamal. Proactive resource allocation: harnessing the diversity and multicast gains. IEEE Trans. Information Theory, 2013.Google ScholarGoogle Scholar
  5. S. Zhang, L. Huang, M. Chen, and X. Liu. Effect of proactive serving on user delay reduction in service systems. Technical report. https://sites.google. com/site/proactivetechreport/paper.pdf.Google ScholarGoogle Scholar

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          cover image ACM Conferences
          SIGMETRICS '14: The 2014 ACM international conference on Measurement and modeling of computer systems
          June 2014
          614 pages
          ISBN:9781450327893
          DOI:10.1145/2591971

          Copyright © 2014 Owner/Author

          Permission to make digital or hard copies of part or all of this work for personal or classroom use is granted without fee provided that copies are not made or distributed for profit or commercial advantage and that copies bear this notice and the full citation on the first page. Copyrights for third-party components of this work must be honored. For all other uses, contact the Owner/Author.

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          Association for Computing Machinery

          New York, NY, United States

          Publication History

          • Published: 16 June 2014

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          Acceptance Rates

          SIGMETRICS '14 Paper Acceptance Rate40of237submissions,17%Overall Acceptance Rate459of2,691submissions,17%

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