An evolution-based cache scheme for scalable mobile data access

Fan Ye; Qing Li; Enhong Chen

An evolution-based cache scheme for scalable mobile data access

Fan Ye, Qing Li, Enhong Chen

Research output: Chapter in book / Conference proceeding › Conference article published in proceeding or book › Academic research › 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 language	English
Title of host publication	Proceedings of the 2nd International Conference on Scalable Information Systems, InfoScale 2007
Publisher	Association for Computing Machinery
ISBN (Electronic)	9781595937575
Publication status	Published - 6 Jun 2007
Externally published	Yes
Event	2nd International Conference on Scalable Information Systems, InfoScale 2007 - Suzhou, China Duration: 6 Jun 2007 → 8 Jun 2007

Publication series

Name	ACM International Conference Proceeding Series
Volume	06-08-June-2007

Conference

Conference	2nd International Conference on Scalable Information Systems, InfoScale 2007
Country/Territory	China
City	Suzhou
Period	6/06/07 → 8/06/07

Keywords

Evolutionary algorithm
Hybrid scalable caching scheme
Stream media caching

ASJC Scopus subject areas

Human-Computer Interaction
Computer Networks and Communications
Computer Vision and Pattern Recognition
Software

Cite this

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title = "An evolution-based cache scheme for scalable mobile data access",

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.",

keywords = "Evolutionary algorithm, Hybrid scalable caching scheme, Stream media caching",

author = "Fan Ye and Qing Li and Enhong Chen",

year = "2007",

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language = "English",

series = "ACM International Conference Proceeding Series",

publisher = "Association for Computing Machinery",

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Ye, F, Li, Q & Chen, E 2007, An evolution-based cache scheme for scalable mobile data access. in Proceedings of the 2nd International Conference on Scalable Information Systems, InfoScale 2007., a41, ACM International Conference Proceeding Series, vol. 06-08-June-2007, Association for Computing Machinery, 2nd International Conference on Scalable Information Systems, InfoScale 2007, Suzhou, China, 6/06/07.

An evolution-based cache scheme for scalable mobile data access. / Ye, Fan; Li, Qing; Chen, Enhong.
Proceedings of the 2nd International Conference on Scalable Information Systems, InfoScale 2007. Association for Computing Machinery, 2007. a41 (ACM International Conference Proceeding Series; Vol. 06-08-June-2007).

Research output: Chapter in book / Conference proceeding › Conference article published in proceeding or book › Academic research › peer-review

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AB - 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.

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An evolution-based cache scheme for scalable mobile data access

Abstract

Publication series

Conference

Keywords

ASJC Scopus subject areas

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Cite this