A low-overhead high-performance unified buffer management scheme that exploits sequential and looping references

  • Authors:

  • Jong Min Kim;Jongmoo Choi;Jesung Kim;Sam H. Noh;Sang Lyul Min;Yookun Cho;Chong Sang Kim

  • Affiliations:

  • School of Computer Science and Engineering, Seoul National University, Seoul, Korea;School of Computer Science and Engineering, Seoul National University, Seoul, Korea;School of Computer Science and Engineering, Seoul National University, Seoul, Korea;Department of Computer Engineering, Hong-Ik University, Seoul, Korea;School of Computer Science and Engineering, Seoul National University, Seoul, Korea;School of Computer Science and Engineering, Seoul National University, Seoul, Korea;School of Computer Science and Engineering, Seoul National University, Seoul, Korea

  • Venue:
  • OSDI'00 Proceedings of the 4th conference on Symposium on Operating System Design & Implementation - Volume 4
  • Year:
  • 2000

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Abstract

In traditional file system implementations, the Least Recently Used (LRU) block replacement scheme is widely used to manage the buffer cache due to its simplicity and adaptability. However, the LRU scheme exhibits performance degradations because it does not make use of reference regularities such as sequential and looping references. In this paper, we present a Unified Buffer Management (UBM) scheme that exploits these regularities and yet, is simple to deploy. The UBM scheme automatically detects sequential and looping references and stores the detected blocks in separate partitions of the buffer cache. These partitions are managed by appropriate replacement schemes based on their detected patterns. The allocation problem among the divided partitions is also tackled with the use of the notion of marginal gains. In both trace-driven simulation experiments and experimental studies using an actual implementation in the FreeBSD operating system, the performance gains obtained through the use of this scheme are substantial. The results show that the hit ratios improve by as much as 57.7% (with an average of 29.2%) and the elapsed times are reduced by as much as 67.2% (with an average of 28.7%) compared to the LRU scheme for the workloads we used.