A user-aware prefetching mechanism for video streaming

Chung Ming Huang, Tz Heng Hsu

Research output: Contribution to journalArticlepeer-review

17 Citations (Scopus)

Abstract

The randomly and unpredictable user behaviors during a multimedia presentation may cause the long retrieval latency in the client-server connection. To accommodate the above problem, we propose a prefetching scheme that using the association rules from the data mining technique. The data mining technique can provide some priority information such as the support, confidence, and association rules which can be utilized for prefetching continuous media. Thus, using the data mining technique, the proposed prefetching policy can predict user behaviors and evaluate segments that may be accessed in near future. The proposed prefetching scheme was implemented and tested on synthetic data to estimate its effectiveness. Performance experiments show that the proposed prefetching scheme is effective in improving the latency reduction, even for small cache sizes.

Original languageEnglish
Pages (from-to)353-374
Number of pages22
JournalWorld Wide Web
Volume6
Issue number4
DOIs
Publication statusPublished - 2003 Dec

All Science Journal Classification (ASJC) codes

  • Software
  • Hardware and Architecture
  • Computer Networks and Communications

Fingerprint Dive into the research topics of 'A user-aware prefetching mechanism for video streaming'. Together they form a unique fingerprint.

Cite this