- author = "Saad M. Darwish and Amr G. El-Shnawy",
- title = "An intelligent database proactive cache replacement policy for mobile communication system based on genetic programming",
- journal = "International Journal of Communication Systems",
- year = "2018",
- volume = "31",
- number = "8",
- month = "25 " # may,
- keywords = "genetic algorithms, genetic programming, cache invalidation, cache replacement, genetic programming, mobile database",
- ISSN = "1099-1131",
- bibsource = "DBLP, http://dblp.uni-trier.de/db/journals/ijcomsys/ijcomsys31.html#DarwishE18",
-
DOI = "
doi:10.1002/dac.3536",
- size = "14 pages",
- abstract = "In the mobile environment, the movement of the users, disconnected modes, many data updates, power battery consumption, limited cache size, and limited bandwidth impose significant challenges in information access. Caching is considered one of the most important concepts to deal with these challenges. There are 2 general topics related to the client cache policy: cache invalidation method keeps data in the cache up to date and cache replacement method chooses the cached element(s) that would be removed from the cache once the cache stays full. The aim of this work is to introduce a new technique for cache replacement in a mobile database that takes into consideration the impact of invalidation time for enhancing data availability in the mobile environment by using genetic programming. In this case, each client collects information for every cached item in the cache like access probability, cached document size, and validation time and uses these factors in a fitness function to determine cached items that will be removed from the cache. The experiments were carried by NS2 simulator to assess the efficiency of the proposed method, and the outcomes are judged against existing cache replacement algorithms. It is concluded that the proposed approach performs significantly better than other approaches.",
-
notes = "'Experiments reveal that the suggested system
increases byte hit ratio, cache hit ratio, and
decreases average query latency in comparing to the'
least recently used (LRU).
Department of Information Technology, Institute of Graduate Studies and Research, Alexandria University, 163 Horreya Avenue, El Shatby 21526, PO Box 832, Alexandria, Egypt
also known as \cite{journals/ijcomsys/DarwishE18}",
