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.

ABSTRACT
 1. 서론
 2. 관련 연구
  2.1 빅데이터
  2.2 맵리듀스 기술
  2.3 게임 로그 분석
 3. 제안 기법
  3.1 문제 정의
  3.2 단순 방법
  3.3 제안 방법
 4. 실험 결과
 5. 결론
 감사의 글
 참고문헌

• 이기용(Division of Computer Science, Sookmyung Women’s University) | Ki Yong Lee
• 정규만(School of Computer and Communication Engineering, Daegu University) | Kyuman Jeong Correspondence to