Déjà vu - Predicting the number of players in online games through normalization of historical data

Tyvand, Jon-Erik; Begnum, Kyrre; Hammer, Hugo Lewi
Chapter, Peer reviewed
Postprint version of published article
Thumbnail
View/Open
URI
https://hdl.handle.net/10642/1558
Date
2011
Metadata
Show full item record
Collections
Original version
Tyvand, J. E., Begnum, K., & Hammer, H. (2011, October). Déjà vu: predicting the number of players in online games through normalization of historical data. In Proceedings of the 10th Annual Workshop on Network and Systems Support for Games (p. 13). IEEE Press.   http://dl.acm.org/citation.cfm?id=2157863
Abstract
A key factor to delivering a good online gaming experience is to have sufficient server resources relative to the number of players online. In this work, we present a simple profiling technique which allows effective prediction of the number of players in the next 24 hour cycle based on both weekend and workday data. The methodology enables planning ahead so that resources can be scaled to the sufficient amount, thereby reducing cost and power consumption.
Publisher
IEEE Press