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A Distance-based Predicted Region Policy for Cache Replacement in Mobile Environments

International Journal of Computer Applications
Foundation of Computer Science (FCS), NY, USA
Year of Publication: 2015
Kamal A. ElDahshan, Ahmed A.A. Gad-ElRab, Ahmed Sobhi

Kamal A ElDahshan, Ahmed A A Gad-ElRab and Ahmed Sobhi. Article: A Distance-based Predicted Region Policy for Cache Replacement in Mobile Environments. International Journal of Computer Applications 126(7):1-10, September 2015. Published by Foundation of Computer Science (FCS), NY, USA. BibTeX

	author = {Kamal A. ElDahshan and Ahmed A.A. Gad-ElRab and Ahmed Sobhi},
	title = {Article: A Distance-based Predicted Region Policy for Cache Replacement in Mobile Environments},
	journal = {International Journal of Computer Applications},
	year = {2015},
	volume = {126},
	number = {7},
	pages = {1-10},
	month = {September},
	note = {Published by Foundation of Computer Science (FCS), NY, USA}


Mobile computing has developed during recent years. Location dependent services are most popular services that the mobile environments support. Data caching is a critical issue that plays an important role in improving these services and system performance. In mobile environments, due to the limited cache size of mobile devices, the main problem in data caching is cache replacement which is finding a suitable subset of items for eviction from cache. In this paper, to solve this problem, A Distance-Based Predicted Region Policy for Cache Replacement in Mobile Environments is proposed. The proposed policy uses the root-mean squared distance that based on the distance between a client current location and the locations of each object whose data is cached for predicted region. Simulation results show that the proposed policy improves the system performance compared to existing schemes.


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Mobile computing, Data dissemination, location-dependent data, cache replacement, predicted region, DPRP.