Authors: Ajay K. Gupta; Udai Shanker
Addresses: Department of Computer Science and Engineering, M.M.M. University of Technology, Gorakhpur-273 010, India ' Department of Computer Science and Engineering, M.M.M. University of Technology, Gorakhpur-273 010, India
Abstract: Earlier mobile client cache invalidation-replacement policies used in the location-based information system are not appropriate if the path for the client movement is changing rapidly. Further, previous cache invalidation-replacement policies show high server overhead in terms of processing costs. Therefore, the objective of this work is to solve the aforementioned challenges by developing a novel effective approach for predicting the future path for the user movement by the use of mobility Markov chain and matrix created to estimate the future movement path (FMP) used in the revised spatio-temporal cost estimation of a data item in cache replacement for contribution to the cache hit ratio improvement. The user's predicted future movement path is further used in optimal sub-polygon selection for reducing the storage overhead in cache invalidation valid scope representation. Client-server queuing model is used for simulation of CEMP-IR in location-based services (LBS). Analytical results show significant caching performance improvement compared to previous policies such as Manhattan, FAR, PPRRP, SPMC-CRP and CEFAB for LBS.
Keywords: location-based services; LBS; location-based computing; context prediction; context-aware systems; context-aware mobility.
International Journal of Computational Science and Engineering, 2021 Vol.24 No.5, pp.450 - 462
Received: 22 Mar 2020
Accepted: 03 Oct 2020
Published online: 12 Oct 2021 *