Agent-based Mobile Data Caching Strategies Using Data Significance

Authors:
Samkeun Kim;Hyungho Kim;Keunsoo Lee;DoHoon Lee;Sang C. Suh
Affiliations:
Department of Computer Engineering, Hankyong National University, Anseong, Republic of Korea;Department of Computer Engineering, Hankyong National University, Anseong, Republic of Korea;Department of Computer Engineering, Hankyong National University, Anseong, Republic of Korea;School of Computer Science and Engineering, Pusan National University, Busan, Republic of Korea;Department of Computer Science, Texas A&M University --Commerce, TX, U.S.A
Venue:
Journal of Integrated Design & Process Science
Year:
2012

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Abstract

Mobile computing is currently becoming more common. This trend emphasizes the necessity of accessing database systems on fixed networks from mobile platforms via wireless networks. However, it is not an appropriate way that applies the database access methods for traditional computing onto mobile computing because of their essential restrictions. In this paper, we suggest an agent-based mobile data access model and also two functions calculating data significance scores to choose suitable data items for cache replacement and coherence policies. These functions synthetically reflect access term, access frequency and tendency, update frequency and tendency, and data item size distribution. As the result of simulation experiment, our policies outperform Least Recently Used LRU, LRU Inverses Frequency LIX, Stretch Access-rate Inverse Update-frequency SAIU policies in aspects of decrement of access latency, improvement of cache byte hit ratio, and decrease of cache byte pollution ratio.