An approximation algorithm for client assignment in client/server systems

Yuqing Zhu, Weili Wu, James Willson, Ling Ding, Lidong Wu, Deying Li, Wonjun Lee

Research output: Chapter in Book/Report/Conference proceedingConference contribution

2 Citations (Scopus)

Abstract

One type of distributed systems is the client/server system consist of clients and servers. In order to improve the performance of such a system, client assignment strategy plays an important role. There are two criteria to evaluate the load on the servers - total load and load balance. The total load increases when the load balance decreases, vice versa. It has been proved that finding the best client assignment is NP-hard. In this paper, we propose a new model for the client assignment problem and design an algorithm based on Semidefinite programming (SDP). Our method has a (relaxed) performance ratio 0.87 when only 2 servers exist. In general case, our method becomes a heuristic, and the ratio of each iteration is 0.87. We are the first one to give these bounds. Our simulation results are compared with the state-of-art client assignment method, and our strategy outperforms it in terms of running time while keeps the load in similar level.

Original languageEnglish
Title of host publicationProceedings - IEEE INFOCOM
PublisherInstitute of Electrical and Electronics Engineers Inc.
Pages2777-2785
Number of pages9
ISBN (Print)9781479933600
DOIs
Publication statusPublished - 2014 Jan 1
Event33rd IEEE Conference on Computer Communications, IEEE INFOCOM 2014 - Toronto, ON, Canada
Duration: 2014 Apr 272014 May 2

Other

Other33rd IEEE Conference on Computer Communications, IEEE INFOCOM 2014
CountryCanada
CityToronto, ON
Period14/4/2714/5/2

ASJC Scopus subject areas

  • Computer Science(all)
  • Electrical and Electronic Engineering

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  • Cite this

    Zhu, Y., Wu, W., Willson, J., Ding, L., Wu, L., Li, D., & Lee, W. (2014). An approximation algorithm for client assignment in client/server systems. In Proceedings - IEEE INFOCOM (pp. 2777-2785). [6848227] Institute of Electrical and Electronics Engineers Inc.. https://doi.org/10.1109/INFOCOM.2014.6848227