Effect of Proactive Serving on User Delay Reduction in Service Systems

Research output: Journal Publications and Reviews (RGC: 21, 22, 62)21_Publication in refereed journalpeer-review

2 Scopus Citations
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Author(s)

Detail(s)

Original languageEnglish
Pages (from-to)573-574
Journal / PublicationPerformance Evaluation Review
Volume42
Issue number1
Online published16 Jun 2014
Publication statusPublished - Jun 2014
Externally publishedYes

Conference

Title2014 ACM SIGMETRICS International Conference on Measurement and Modeling of Computer Systems (SIGMETRICS 2014)
PlaceUnited States
CityAustin
Period16 - 20 June 2014

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.

Research Area(s)

  • Proactive serving, Queueing, Service system, User delay

Citation Format(s)

Effect of Proactive Serving on User Delay Reduction in Service Systems. / Zhang, Shaoquan; Huang, Longbo; Chen, Minghua; Liu, Xin.

In: Performance Evaluation Review, Vol. 42, No. 1, 06.2014, p. 573-574.

Research output: Journal Publications and Reviews (RGC: 21, 22, 62)21_Publication in refereed journalpeer-review