Autonomic operation of massively multiplayer online games in clouds

Vlad Nae, Radu Prodan, Alexandru Iosup

Research output: Chapter in Book / Report / Conference proceedingConference contributionAcademicpeer-review

Abstract

To support the variable load of Massively Multiplayer On-line Games (MMOGs) with millions of registered users and thousands of active concurrent players, game operators over-provision a large static infrastructure capable of sustaining the peak load with guaranteed Quality of Service (QoS). This leads to inefficient resource utilisation, high service prices, and limited market participation accessible only to the large companies. To address this problem, we propose a new autonomic ecosystem for hosting and operating MMOGs based on cloud computing principles involving four smaller and better focused business actors whose interaction is regulated through Service Level Agreements (SLAs): resource provider, game operator, game provider, and client. In our model, game providers acquire operation SLAs from game operators to satisfy client requests and manage multiple distributed MMOG sessions. Game operators lease on-demand cloud resources based on the dynamic MMOG load and guarantee the required QoS to all clients. We evaluate through simulations based on real MMOG traces and commercial cloud SLAs different methods of ranking MMOG operation offers. We show that considering compensations for SLA faults in the offer selection can lead to over 11% gains in game providers' income, and that adequate ranking of offers can reduce operational costs by up to 60%. © 2013 ACM.
Original languageEnglish
Title of host publicationProceedings of the 2013 ACM Cloud and Autonomic Computing Conference, CAC '13, Miami, FL, USA - August 05 - 09, 2013
Pages10:1-10:10
DOIs
Publication statusPublished - 2013
Externally publishedYes
Event2013 ACM International Conference on Cloud and Autonomic Computing, CAC 2013 - Miami, United States
Duration: 5 Aug 20139 Aug 2013

Conference

Conference2013 ACM International Conference on Cloud and Autonomic Computing, CAC 2013
CountryUnited States
CityMiami
Period5/08/139/08/13

Keywords

  • autonomic cloud computing
  • MMOG
  • QoS
  • SLA

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