Performance Evaluation of Caching and Prefetch Strategies on a Storage Server

• Main Authors: Chien-Cheng Wu, 吳建成
• Other Authors: Shih-Hao Hung
• Format: Others
• Language: en_US
• Published: 2007
• Online Access: http://ndltd.ncl.edu.tw/handle/08589306461275708507

碩士 === 國立臺灣大學 === 資訊工程學研究所 === 95 === Caching and prefetch are important techniques for designing a storage system. As the speed gap between memory and disk is so large today, caching and prefetch are critical to enterprise-class storage applications, which demands high-performance. In this thesis, we studied the performance of the latest mid-range storage server produced by Quanta Computer Incorporation (codename: Rb2). We analyzed the existing caching mechanism in the server and developed a fast caching methodology to reduce the cache access latency and processing overhead of the storage controller. In addition, we proposed a new adaptive prefetch scheme reduces the average disk access time seen by the host. Via trace-driven simulation, we evaluated the performance of our new caching and adaptive prefetch schemes. Our results showed the performance improvement for the TPC-C benchmark.