A SpatioTemporal Placement Model for Caching Location Dependent Queries

  • Authors:

  • Anand Murugappan;Ling Liu

  • Affiliations:

  • College of Computing, Georgia Institute of Technology, Atlanta, USA. anandm@cc.gatech.edu;College of Computing, Georgia Institute of Technology, Atlanta, USA. lingliu@cc.gatech.edu

  • Venue:
  • MOBIQUITOUS '07 Proceedings of the 2007 Fourth Annual International Conference on Mobile and Ubiquitous Systems: Networking&Services (MobiQuitous)
  • Year:
  • 2007

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Abstract

This paper proposes an adaptive spatio-temporal placement scheme for caching location dependent queries. The cache placement decision is made according to the potential cache benefit of the query results based on the spatio-temporal properties of query results and the movement patterns of the mobile client, aiming at increasing the cache hit ratio. We introduce the concept of `Overlapping Cache Benefit' as a measure of the hit rate of a cached item, and present three spatio-temporal cache placement schemes, which provide a step-by-step in-depth analysis of various factors that may affect the performance of a client cache in mobile environments. We implemented the spatio-temporal placement model in the first prototype of the MOBICACHE system. Our experimental evaluation shows that the spatial locality and the movement patterns of mobile clients are critical factors that impact the effectiveness of cache placement and the performance of client cache, and the proposed adaptive spatio-temporal cache placement approach yields higher hit ratio and better response time compared to existing mobile cache solutions.