Ajay Kr. Gupta
ABSTRACT
Location dependent information services (LDIS) can be characterized as the applications that coordinate a cell phone's area or position with other data to give enhanced value of services to the client at right place in the right time from anywhere. In this paper, an algorithm Caching Efficiency with Next Location Prediction Based (CELPB) has been developed that uses a newly developed metric i.e. caching efficiency with next location prediction (CELP) for the computation of valid scope in prediction interval. This metric takes account the future movement behavior of client with the help of Sequential Pattern Mining and Clustering. The mobility rules have also been framed for the prediction of an accurate next location, which can be used in estimating the future movement path (edges) of client if he reached in valid scope area of any data item. Simulation results show that proposed policy achieves up to 10 percent performance improvement compared to earlier cache invalidation policy (CEBAB) for LDIS.
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Cross Ref
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- Ajay K. Gupta and Udai Shanker, "SPMC-PRRP: A Predicted Region based Cache Replacement Policy" Proc. of the International Conference on Data and Information System (ICDIS-2017), Indira Gandhi National Tribal University (IGNTU), Amarkantak, India., Nov. 17--18, 2017.Google Scholar
Index Terms
- CELPB: A Cache Invalidation Policy for Location Dependent Data in Mobile Environment
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