MapReduce 기술을 이용한 게임 로그 데이터 분석 기법

• 영문명: A Game Log Data Analysis Technique using MapReduce
• 발행기관: 한국컴퓨터게임학회
• 저자명: 이기용(Ki Yong Lee) 정규만(Kyu man Jeong)
• 간행물 정보: 『한국컴퓨터게임학회논문지』제27권 1호, 19~25쪽, 전체 7쪽
• 주제분류: 공학 > 컴퓨터학
• 파일형태: PDF
• 발행일자: 2014.03.30

영문 초록

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.

목차

1. 서론

2. 관련 연구

3. 제안 기법

4. 실험 결과

5. 결론

감사의 글

참고문헌

키워드

Game Log Data MapReduce Data Analysis Big Data