Performance bottleneck in time-series subsequence matching

  • Authors:
  • Sang-Wook Kim;Byeong-Soo Jeong

  • Affiliations:
  • Hanyang University, Seongdong, Seoul, Korea;Kyung Hee University, Yongin, Kyungki, Korea

  • Venue:
  • Proceedings of the 2005 ACM symposium on Applied computing
  • Year:
  • 2005

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Abstract

This paper addresses a performance bottleneck in time-series subsequence matching. First, we analyze the disk access and CPU processing times required during the index searching and post-processing steps of subsequence matching through preliminary experiments. Based on their results, we show that the post-processing step is a main performance bottleneck in subsequence matching. In order to resolve the performance bottleneck, we propose a simple yet quite effective method that processes the post-processing step. By rearranging the order of candidate subsequences to be compared with a query sequence, our method completely eliminates the redundancies of disk accesses and CPU processing occurring in the post-processing step. We show that our method is optimal and also does not incur any false dismissal. Also, we justify the effectiveness of our method by extensive experiments.