| Efficient management of data center resources for massively multiplayer online games |
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Conference on High Performance Networking and Computing
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Proceedings of the 2008 ACM/IEEE conference on Supercomputing - Volume 00
table of contents
Austin, Texas
Article No. 10
Year of Publication: 2008
ISBN:978-1-4244-2835-9
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Authors
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Vlad Nae
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University of Innsbruck, Innsbruck, Austria
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Alexandru Iosup
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Delft University of Technology, Delft, The Netherlands
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Stefan Podlipnig
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University of Innsbruck, Innsbruck, Austria
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Radu Prodan
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University of Innsbruck, Innsbruck, Austria
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Dick Epema
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Delft University of Technology, Delft, The Netherlands
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Thomas Fahringer
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University of Innsbruck, Innsbruck, Austria
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IEEE Press
Piscataway, NJ, USA
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| Bibliometrics |
Downloads (6 Weeks): 26, Downloads (12 Months): 280, Citation Count: 1
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ABSTRACT
Today's Massively Multiplayer Online Games (MMOGs) can include millions of concurrent players spread across the world. To keep these highly-interactive virtual environments online, a MMOG operator may need to provision tens of thousands of computing resources from various data centers. Faced with large resource demand variability, and with misfit resource renting policies, the current industry practice is to maintain for each game tens of self-owned data centers. In this work we investigate the dynamic resource provisioning from external data centers for MMOG operation. We introduce a novel MMOG workload model that represents the dynamics of both the player population and the player interactions. We evaluate several algorithms, including a novel neural network predictor, for predicting the resource demand. Using trace-based simulation, we evaluate the impact of the data center policies on the resource provisioning efficiency; we show that dynamic provisioning can be much more efficient than its static alternative.
REFERENCES
Note: OCR errors may be found in this Reference List extracted from the full text article. ACM has opted to expose the complete List rather than only correct and linked references.
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