An evolution-based cache scheme for scalable mobile data access

Authors:
Fan Ye;Qing Li;Enhong Chen
Affiliations:
University of Science & Technology of China, Hefei, China and CityU-USTC Advanced Research Institute, Suzhou, China and City University of Hong Kong, Hong Kong, China;CityU-USTC Advanced Research Institute, Suzhou, China and City University of Hong Kong, Hong Kong, China;University of Science & Technology of China, Hefei, China and CityU-USTC Advanced Research Institute, Suzhou, China
Venue:
Proceedings of the 2nd international conference on Scalable information systems
Year:
2007

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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.