Dynamic resource allocation for MMOGs in cloud computing environments

Chen Fang Weng*, Kuo-Chen Wang

*Corresponding author for this work

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

8 Scopus citations

Abstract

A massively multiplayer online game (MMOG) has hundreds of thousands of players who play in the game concurrently. The players consume a great deal of CPU, memory and network bandwidth resources in MMOGs. We combine MMOGs with cloud computing environments. We use virtual machine servers (VMSs) in cloud computing environments instead of traditional physical game servers. By using a multi-server architecture, we divide a game world into several zones, and each zone consists of at least a VMS to execute game processes and exchange game information among players in the zone. In addition, we design an adaptive neural fuzzy inference system (ANFIS) and also an artificial neural network (ANN) to predict the load of each zone and decide a resource allocation policy to be performed by the VMS. Experimental results show that the mean square error of the ANFIS-based load prediction is lower than that of the ANN-based load prediction. Therefore, we incorporate the ANFIS prediction method along with the five resource allocation policies to the MMOG cloud. In terms of average access time, the proposed ANFIS-based DLPSVMS resource allocation method is 16.7% better than the ANFIS-based DLP, where DLP is an existing deep-level partitioning (DLP) method. Furthermore, the proposed method has the smallest number of VMSs used among the three methods. The evaluation results show the feasibility of applying the proposed resource allocation method to MMOG clouds.

Original languageEnglish
Title of host publicationIWCMC 2012 - 8th International Wireless Communications and Mobile Computing Conference
Pages142-146
Number of pages5
DOIs
StatePublished - 22 Nov 2012
Event8th IEEE International Wireless Communications and Mobile Computing Conference, IWCMC 2012 - Limassol, Cyprus
Duration: 27 Aug 201231 Aug 2012

Publication series

NameIWCMC 2012 - 8th International Wireless Communications and Mobile Computing Conference

Conference

Conference8th IEEE International Wireless Communications and Mobile Computing Conference, IWCMC 2012
CountryCyprus
CityLimassol
Period27/08/1231/08/12

Keywords

  • ANFIS
  • ANN
  • cloud computing
  • load prediction
  • resource allocation

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  • Cite this

    Weng, C. F., & Wang, K-C. (2012). Dynamic resource allocation for MMOGs in cloud computing environments. In IWCMC 2012 - 8th International Wireless Communications and Mobile Computing Conference (pp. 142-146). [6314192] (IWCMC 2012 - 8th International Wireless Communications and Mobile Computing Conference). https://doi.org/10.1109/IWCMC.2012.6314192