Improving prediction level of prefetching for location-aware mobile information service

  • Authors:

  • Seungmin Park;Daeyoung Kim;Gihwan Cho

  • Affiliations:

  • Real-Time Middleware Team, ETRI, 161 Kajeong-Dong, Yuseong-Gu, Daejeon 305-350, South Korea;Division of Information and Communication Engineering, Chungnam University, 220 Kung-Dong, Yuseong-Gu, Daejeon 305-764, South Korea;Division of Electronics and Information Engineering, Chonbuk University, 664-14 Duckjin-Dong, Duckjin-Gu, Chonju, Chonbuk 561-756, South Korea

  • Venue:
  • Future Generation Computer Systems - Special issue: Modeling and simulation in supercomputing and telecommunications
  • Year:
  • 2004

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Abstract

An essential quality for future information services is their ability to evolve and adapt to deliver the information corresponding into the current situation of user and/or device in the face of constantly changing environment. This paper deals with the prefetching schemes to improve prediction level of for location-aware mobile information service. The prefetching aims to reduce the latency to get refreshed information appropriated to the current location. Thus, in order to effectively limit the prefetched information into the most likely future location context, the rectangle-shaped Prefetching Zone (PZ) is firstly defined with a user's moving speed and direction. Then, a method is given to make use of the mobility reference count that shows how often the user has been visited to a given area, to further predict the prefetching candidates.