Mobile learning support with statistical inference-based cache management

Qing Li, Jianmin Zhao, Xinzhong Zhu

Research output: Chapter in book / Conference proceedingConference article published in proceeding or bookAcademic researchpeer-review


Supporting efficient data access in the mobile learning environment is becoming a hot research problem in recent years, and the problem becomes tougher when the clients are light-weight mobile devices such as cell phones whose limited storage space prevents the clients from holding a large cache. A practical solution is to store the cache data at some proxies nearby, so that mobile devices can access the data from these proxies instead of data servers in order to reduce the latency time. However, when mobile devices move freely, the cache data may not enhance the overall performance because it may become too far away for the clients to access. In this paper, we propose a statistical caching mechanism which makes use of prior knowledge (statistical data) to predict the pattern of user movement and then replicates/migrates the cache objects among different proxies. We propose a statistical inference based heuristic search algorithm to accommodate dynamic mobile data access in the mobile learning environment. Experimental studies show that, with an acceptable complexity, our algorithm can obtain good performance on caching mobile data.

Original languageEnglish
Title of host publicationAdvances in Web Based Learning - ICWL 2007 - 6th International Conference, Revised Papers
Number of pages18
Publication statusPublished - 7 Apr 2008
Externally publishedYes
Event6th International Conference on Advances in Web Based Learning, ICWL 2007 - Edinburgh, United Kingdom
Duration: 15 Aug 200717 Aug 2007

Publication series

NameLecture Notes in Computer Science (including subseries Lecture Notes in Artificial Intelligence and Lecture Notes in Bioinformatics)
Volume4823 LNCS
ISSN (Print)0302-9743
ISSN (Electronic)1611-3349


Conference6th International Conference on Advances in Web Based Learning, ICWL 2007
Country/TerritoryUnited Kingdom


  • Cache management
  • Data caching
  • Mobile data management
  • Mobile devices
  • Mobile learning
  • Statistical caching

ASJC Scopus subject areas

  • Theoretical Computer Science
  • Computer Science(all)


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