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An evolution-based cache scheme for scalable mobile data access

Research output: Chapters, Conference Papers, Creative and Literary WorksRGC 32 - Refereed conference paper (with host publication)peer-review

Abstract

Streaming media data access has been a problem for several years, and the problem becomes tougher in the mobile environment in which mobile users use mobile devices that are of rather limited storage space, preventing the clients from having a large cache. In this paper, we design a novel evolutionary caching algorithm for base stations to adapt to the user requests, so as to make the scheme more adaptive to the changing environment while maintaining good Byte Hit Ratio (BHR) or Number Hit Ratio (NHR) for the real world requests. We evaluate the effectiveness of our evolutionary caching algorithm through simulation studies, the results of which demonstrate that our scheme can obtain good performance on buffering streaming media data for user requests as far as the BHR and NHR metrics are concerned.
Original languageEnglish
Title of host publicationACM International Conference Proceeding Series
PublisherAssociation for Computing Machinery
Volume06-08-June-2007
ISBN (Print)9781595937575
DOIs
Publication statusPublished - 6 Jun 2007
Event2nd International Conference on Scalable Information Systems (InfoScale 2007) - Suzhou, China
Duration: 6 Jun 20078 Jun 2007

Publication series

Name
Volume06-08-June-2007

Conference

Conference2nd International Conference on Scalable Information Systems (InfoScale 2007)
PlaceChina
CitySuzhou
Period6/06/078/06/07

Research Keywords

  • Evolutionary algorithm
  • Hybrid scalable caching scheme
  • Stream media caching

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