Déjà vu: predicting the number of players in online games through normalization of historical data

Authors:
Jon-Erik Tyvand;Kyrre Begnum;Hugo Hammer
Affiliations:
University of Oslo, Blindern, Oslo, Norway;Oslo and Akershus University College of Applied Sciences, Oslo, Norway;Oslo and Akershus University College of Applied Sciences, Oslo, Norway
Venue:
Proceedings of the 10th Annual Workshop on Network and Systems Support for Games
Year:
2011

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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.