論文

査読有り
2013年12月

A Meta-Heuristic Approach for Dynamic Data Allocation on a Multiple Web Server System

IEICE TRANSACTIONS ON INFORMATION AND SYSTEMS
  • Masaki Kohana
  • ,
  • Shusuke Okamoto
  • ,
  • Atsuko Ikegami

E96D
12
開始ページ
2645
終了ページ
2653
記述言語
英語
掲載種別
研究論文(学術雑誌)
DOI
10.1587/transinf.E96.D.2645
出版者・発行元
IEICE-INST ELECTRONICS INFORMATION COMMUNICATIONS ENG

This paper describes a near-optimal allocation method for web-based multi-player online role-playing games (MORPGs), which must be able to cope with a large number of users and high frequency of user requests. Our previous work introduced a dynamic data reallocation method. It uses multiple web servers and divides the entire game world into small blocks. Each ownership of block is allocated to a web server. Additionally, the ownership is reallocated to the other web server according to the user's requests. Furthermore, this block allocation was formulated as a combinational optimization problem. And a simulation based experiment with an exact algorithm showed that our system could achieve 31% better than an ad-hoc approach. However, the exact algorithm takes too much time to solve a problem when the problem size is large. This paper proposes a meta-heuristic approach based on a tabu search to solve a problem quickly. A simulation result shows that our tabu search algorithm can generate solutions, whose average correctness is only 1% different from that of the exact algorithm. In addition, the average calculation time for 50 users on a system with five web servers is about 25.67 msec while the exact algorithm takes about 162 msec. An evaluation for a web-based MORPG system with our tabu search shows that it could achieve 420 users capacity while 320 for our previous system.

リンク情報
DOI
https://doi.org/10.1587/transinf.E96.D.2645
Web of Science
https://gateway.webofknowledge.com/gateway/Gateway.cgi?GWVersion=2&SrcAuth=JSTA_CEL&SrcApp=J_Gate_JST&DestLinkType=FullRecord&KeyUT=WOS:000329009300015&DestApp=WOS_CPL
ID情報
  • DOI : 10.1587/transinf.E96.D.2645
  • ISSN : 0916-8532
  • eISSN : 1745-1361
  • Web of Science ID : WOS:000329009300015

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