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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. We studied the performance of a mid-range storage server and analyzed the existing caching mechanism in the server. We developed a fast caching methodology which reduces 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.
About the author
Chien Cheng Wu earned his M.S. degree in Computer Science and Engineering from National Taiwan University in 2007. He has more than 6 years of experience in the IT industry. He now heads a group of professional business observers, technologists, and designers. The team is focused on providing various scalable services in cloud infrastructures.
