MapReduce 기술을 이용한 게임 로그 데이터 분석 기법
A Game Log Data Analysis Technique using MapReduce
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참고문헌
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초록
Attempts to hack online game servers and abusing problems in online games have been issues in gameindustry. Mobile games are famous these days thanks to the widespread of smart devices. Unfortunately, mobilegames have very short life cycle. Therefore, analysis of game log data becomes more important to overcome thehacking and abusing problems in online games and extend their life cycles in mobile games. In this paper, wepropose a new game log data analysis technique based on the MapReduce methodology. MapReduce is a widelyused programming model for analyzing and processing Big data. Instead of processing each analysis queryseparately, the proposed technique processes multiple analysis queries together in a batch by a single, optimizedMapReduce job. As a result, the number of queries processed per unit time increases significantly. Experimentresults show that the proposed technique improves the performance significantly compared to a naive method.
Abstract
Attempts to hack online game servers and abusing problems in online games have been issues in gameindustry. Mobile games are famous these days thanks to the widespread of smart devices. Unfortunately, mobilegames have very short life cycle. Therefore, analysis of game log data becomes more important to overcome thehacking and abusing problems in online games and extend their life cycles in mobile games. In this paper, wepropose a new game log data analysis technique based on the MapReduce methodology. MapReduce is a widelyused programming model for analyzing and processing Big data. Instead of processing each analysis queryseparately, the proposed technique processes multiple analysis queries together in a batch by a single, optimizedMapReduce job. As a result, the number of queries processed per unit time increases significantly. Experimentresults show that the proposed technique improves the performance significantly compared to a naive method.
참고문헌 (13)
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- Hyunjean Choi, "Efficient Processing of an Aggregate Query Stream in MapReduce", Korea Information Processing Society Fall Conference (2013)
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- 박정은, "온라인게임 이용패턴에 관한 실증연구", 한국컴퓨터게임학회논문지, 20(20), pp.53~62 (2010), (사)한국컴퓨터게임학회
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- "Amazon Elastic Compute Cloud(Amazon EC2)"[URL]
- W. C. Jeong, "Game QA" (2011), Hanbit Press