Storage model analysis based on Network Attached Optical Jukebox

Xuan Liu, Huibo Jia, Ming Cheng

Research output: Contribution to journalArticlepeer-review

Abstract

Network Attached Optical Jukebox is challenging domain which has excellent performance compare with previous work. The appearance of Network Attached Optical Jukebox makes it possible that the optical jukebox which has huge capacity is applied to massive information storage. It provides the reliable guarantee for permanent store data. In the previous works, a new cache model and replacement algorithm for Network Attached Optical Jukebox is presented and this kind of research is very limited. This paper will deeply research the ARMA model and PRFA algorithm using the classic replacement algorithm and the related knowledge of graph theory. The experimental result shows that new algorithm's performance is much better than other algorithm's. Furthermore the performance of the whole system is also improved by using cache model and replacement algorithm.

Original languageEnglish (US)
Pages (from-to)57-62
Number of pages6
JournalJournal of Computational Information Systems
Volume3
Issue number1
StatePublished - Feb 1 2007
Externally publishedYes

All Science Journal Classification (ASJC) codes

  • Information Systems
  • Computer Science Applications

Keywords

  • Hierarchical storage system
  • Network attached optical jukebox
  • Network storage
  • Replacement algorithm
  • Storage model

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