Title(KR)
MapReduce 기술을 이용한 게임 로그 데이터 분석 기법
Title(ENG)
A Game Log Data Analysis Technique using MapReduce
Keywords(KR)
Game Log Data, MapReduce, Data Analysis, Big Data
Keywords(ENG)
Game Log Data, MapReduce, Data Analysis, Big Data
Author
Ki Yong Lee and Kyuman Jeong
Abstract(ENG)
Attempts to hack online game servers and abusing problems in online games have been issues in game industry. Mobile games are famous these days thanks to the widespread of smart devices. Unfortunately, mobile games have very short life cycle. Therefore, analysis of game log data becomes more important to overcome the hacking and abusing problems in online games and extend their life cycles in mobile games. In this paper, we propose a new game log data analysis technique based on the MapReduce methodology. MapReduce is a widely used programming model for analyzing and processing Big data. Instead of processing each analysis query separately, the proposed technique processes multiple analysis queries together in a batch by a single, optimized MapReduce job. As a result, the number of queries processed per unit time increases significantly. Experiment results show that the proposed technique improves the performance significantly compared to a naive method.
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