Evolutionary storage: Speeding up a magnetic disk by clustering frequent data

Frank Wang, Yuhui Deng, Na Helian, Sining Wu, Vineet Khare, Chenhan Liao, Michael Andrew Parker

Research output: Contribution to journalArticlepeer-review

Abstract

To counteract the performance degradation in magnetic disks, it is proposed to develop an evolutionary storage system that is evolving over time. The frequent data is clustered and moved to a flash memory. A large disk trace, collected from real systems, has been used. The experimental results showed that the performance speedup due to the disk reorganization is 4.0
Original languageEnglish
Pages (from-to)2295-2297
JournalIEEE Transactions on Magnetics
Volume43
Issue number2
DOIs
Publication statusPublished - 21 May 2007

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