Vertex-based Shared Data Allocation in a Mobile Computing System

Jin Woo Song, Kwang Jo Lee, Jung Suk Han, Sung Bong Yang

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

Abstract

In mobile environments, mobile users transfer and access a great deal of data, In order to enhance user's access speed in a mobile network, replicated servers can be of great help. But usually a limited number of such servers are deployed in a network due to the cost factor, Thus available replicated servers should be located appropriately; they should be placed at the cells where many users visit frequently. In this paper we propose two vertex-based algorithms that calculate the cumulative numbers of shared data accesses by mobile users at the cells and allocates replicated severs at the cell with the largest numbers of accesses. The proposed algorithms exploit users' moving patterns and data access patterns for locating replicated servers in order to maximize the local access hit ratio of users. The experimental results show that the proposed algorithms improve the system performance overa typical algorithm.

Original languageEnglish
Title of host publication2008 International Conference on Information Networking, ICOIN
DOIs
Publication statusPublished - 2008 Aug 25
Event2008 International Conference on Information Networking, ICOIN - Busan, Korea, Republic of
Duration: 2008 Jan 232008 Jan 25

Publication series

Name2008 International Conference on Information Networking, ICOIN

Other

Other2008 International Conference on Information Networking, ICOIN
CountryKorea, Republic of
CityBusan
Period08/1/2308/1/25

All Science Journal Classification (ASJC) codes

  • Computer Networks and Communications
  • Information Systems

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  • Cite this

    Song, J. W., Lee, K. J., Han, J. S., & Yang, S. B. (2008). Vertex-based Shared Data Allocation in a Mobile Computing System. In 2008 International Conference on Information Networking, ICOIN [4472765] (2008 International Conference on Information Networking, ICOIN). https://doi.org/10.1109/ICOIN.2008.4472765