Optimizing the embedded caching and prefetching software on a network-attached storage system

Shih Hao Hung, Chien Cheng Wu, Chia Heng Tu

Research output: Chapter in Book/Report/Conference proceedingConference contribution

3 Citations (Scopus)

Abstract

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 paper, we present our study on performance of a mid-range storage server produced by the Quanta Computer Incorporation. We first analyzed the existing caching mechanism in the server and then 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 on-line transaction benchmark.

Original languageEnglish
Title of host publicationProceedings of The 5th International Conference on Embedded and Ubiquitous Computing, EUC 2008
Pages152-161
Number of pages10
DOIs
Publication statusPublished - 2008
Event5th International Conference on Embedded and Ubiquitous Computing, EUC 2008 - Shanghai, China
Duration: 2008 Dec 172008 Dec 20

Publication series

NameProceedings of The 5th International Conference on Embedded and Ubiquitous Computing, EUC 2008
Volume1

Other

Other5th International Conference on Embedded and Ubiquitous Computing, EUC 2008
Country/TerritoryChina
CityShanghai
Period08-12-1708-12-20

All Science Journal Classification (ASJC) codes

  • Computer Networks and Communications
  • Software
  • Communication

Fingerprint

Dive into the research topics of 'Optimizing the embedded caching and prefetching software on a network-attached storage system'. Together they form a unique fingerprint.

Cite this