An Effective Prefetching Technique for Location-Based Services with PPM

DOI

10.2991/jcis.2006.221How to use a DOI?

Keywords

Caching, location-based services, prefetching, mobility

Abstract

Location-Based Services (LBS) are available on hand-held devices and become a field of active research since the recent advances in wireless communication and mobile environment. Due to the constraints of bandwidth of network, space of storage and energy of battery in the mobile client, slow information transformation between client and server declines the quality of LBS. The techniques of caching and prefetching information is usually adapted to increase the performance of information transformation. However, almost of current techniques of caching and prefetching uses the static metrics to guide the operations of the techniques. In this paper, we adapt the technique of Predication by Partial Match (PPM) to capture the dynamic behavior of drivers applied to the service route guidance. An experiment was conducted to compare the performance of our approach and that of with fixed probabilities. It is observed that PPM had a better effect in capturing the popular phenomena then the fixed probabilities.

Copyright

© 2006, the Authors. Published by Atlantis Press.

Open Access

This is an open access article distributed under the CC BY-NC license (http://creativecommons.org/licenses/by-nc/4.0/).

Download article (PDF)

TY  - CONF
AU  - Chih-Cheng Lien
AU  - Chien-Chih Wang
PY  - 2006/10
DA  - 2006/10
TI  - An Effective Prefetching Technique for Location-Based Services with PPM
BT  - Proceedings of the 9th Joint International Conference on Information Sciences (JCIS-06)
PB  - Atlantis Press
SP  - 405
EP  - 408
SN  - 1951-6851
UR  - https://doi.org/10.2991/jcis.2006.221
DO  - 10.2991/jcis.2006.221
ID  - Lien2006/10
ER  -