Operation analysis of massively multiplayer online games on unreliable resources

Journal article (2016)

Authors

Radu Prodan University of Innsbruck

A. Iosup Data-Intensive Systems -

Research Group

Data-Intensive Systems () (TU Delft)

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

More Info

expand_more

To reference this document use:

http://resolver.tudelft.nl/uuid:a9d7d429-adc1-4724-a230-962bbc3f99c3

Published Date

2016

Language

English

Reuse Rights

Other than for strictly personal use, it is not permitted to download, forward or distribute the text or part of it, without the consent of the author(s) and/or copyright holder(s), unless the work is under an open content license such as Creative Commons.

Faculty

Electrical Engineering, Mathematics and Computer Science

Department

Software Technology

Research Group

Data-Intensive Systems

Abstract

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.