DocumentCode :
3109379
Title :
Efficient management of data center resources for Massively Multiplayer Online Games
Author :
Nae, Vlad ; Iosup, Alexandru ; Podlipnig, Stefan ; Prodan, Radu ; Epema, Dick ; Fahringer, Thomas
Author_Institution :
Inst. for Comput. Sci., Univ. of Innsbruck, Innsbruck, Austria
fYear :
2008
fDate :
15-21 Nov. 2008
Firstpage :
1
Lastpage :
12
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.
Keywords :
computer games; neural nets; virtual reality; MMOG; data center resources; highly-interactive virtual environments; massively multiplayer online games; neural network predictor; trace-based simulation; Application software; Computational modeling; Computer science; Degradation; Ecosystems; Large-scale systems; Neural networks; Predictive models; Resource management; Web server;
fLanguage :
English
Publisher :
ieee
Conference_Titel :
High Performance Computing, Networking, Storage and Analysis, 2008. SC 2008. International Conference for
Conference_Location :
Austin, TX
Print_ISBN :
978-1-4244-2834-2
Electronic_ISBN :
978-1-4244-2835-9
Type :
conf
DOI :
10.1109/SC.2008.5213940
Filename :
5213940
Link To Document :
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