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Dynamic Load Balancing for Online Games Using Predefined Area Information

  • Conference paper
On the Move to Meaningful Internet Systems 2006: OTM 2006 Workshops (OTM 2006)

Part of the book series: Lecture Notes in Computer Science ((LNISA,volume 4277))

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Abstract

Usually, online games cannot adapt to the dynamic change of population. In this paper, we propose a new dynamic load balancing approach for online games using predefined area information. To control dynamic change of population, it divides or merges fields considering the surveyed load based on predefined area information. By the simple modification to this information, we can easily control problems that come from changes of map data, changes of resources’ status, or changes of user’s behavior pattern.

An erratum to this chapter can be found at http://dx.doi.org/10.1007/11915034_125.

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Author information

Authors and Affiliations

  1. Dept. of Computer Engineering, Chonbuk National University, South Korea

    Beob Kyun Kim, Dong Un An & Seung Jong Chung

Authors
  1. Beob Kyun Kim
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  2. Dong Un An
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  3. Seung Jong Chung
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Editor information

Editors and Affiliations

  1. STARLab, Vrije Universiteit Brussel (VUB), Bldg G/10, Pleinlaan 2, 1050, Brussels, Belgium

    Robert Meersman

  2. School of Computer Science and Information Technology, RMIT University, Bld 10.10, 376-392 Swanston Street, 3001, Melbourne, VIC, Australia

    Zahir Tari

  3. Facultad de Informática, Universidad Politécnica de Madrid, Campus de Montegancedo S/N, 28660, Boadilla del Monte, Madrid, Spain

    Pilar Herrero

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© 2006 Springer-Verlag Berlin Heidelberg

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Kim, B.K., An, D.U., Chung, S.J. (2006). Dynamic Load Balancing for Online Games Using Predefined Area Information. In: Meersman, R., Tari, Z., Herrero, P. (eds) On the Move to Meaningful Internet Systems 2006: OTM 2006 Workshops. OTM 2006. Lecture Notes in Computer Science, vol 4277. Springer, Berlin, Heidelberg. https://doi.org/10.1007/11915034_24

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  • DOI: https://doi.org/10.1007/11915034_24

  • Publisher Name: Springer, Berlin, Heidelberg

  • Print ISBN: 978-3-540-48269-7

  • Online ISBN: 978-3-540-48272-7

  • eBook Packages: Computer ScienceComputer Science (R0)

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