Operation analysis of massively multiplayer online games on unreliable resources

Radu Prodan*, Alex Iosup

*Corresponding author for this work

Research output: Contribution to journalArticleScientificpeer-review

6 Citations (Scopus)


We investigate the use of a new Massively Multiplayer Online Gaming (MMOG) ecosystem consisting of end-users, game providers, game operators, and Cloud resource providers, for autonomous, self-adaptive hosting and operation of MMOGs on unreliable resources. For this purpose, we developed an MMOG simulator compliant with our ecosystem, supported by a dynamic resource provisioning and load balancing algorithm. Using our simulator in which we inject traces collected from a real-world MMOG and resource characteristics from 16 Cloud providers, we study the impact on the involved actors by considering different resource availability levels. We highlight the advantages of dynamic resource allocation over the static overprovisioning with respect to two types of metrics: QoS offered to the clients and financial profit of game providers and operators.
Original languageEnglish
Pages (from-to)1145-1161
Number of pages17
JournalPeer-to-Peer Networking and Applications
Issue number6
Publication statusPublished - 2016


  • Cloud computing
  • Dynamic resource provisioning
  • Fault tolerance
  • Load balancing
  • Massively multiplayer online games
  • Quality of service


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