An Efficient Markov Chain Model Development based Prefetching in Location-Based Services

Abstract

A quite significant issue with the current location-based services application is to securely store information for users on the network in order to quickly access the data items. One way to do this is to store data items that have a high likelihood of subsequent request. This strategy is known as proactive caching or prefetching. It is a technique in which selected information is cached before it is actually needed. In comparison, past constructive caching strategies showed high data overhead in terms of computing costs. Therefore, with the use of Markov chain model, the aim of this work is to address the above problems by an efficient user future position movement prediction strategy. For modeling of the proposed system to evaluate the feasibility of accessing information on the network for location-based applications, the client-server queuing model is used in this chapter. The observational findings indicate substantial improvements in caching efficiency to previous caching policies that did not use prefetch module.