An intelligent approach of query process optimisation using cooperative semantic caching technique

Query processing is the key aspect in any of client-server application. Optimality is measured based on various concerns such as architecture base, search engines, query processor, query formalism, query representation languages, IO and storage cost. Researchers strived and provided various solutions for query process optimization in the past. Efficient query processing requires an advanced caching mechanism to reduce the query response time. Semantic caching produce results for optimizing the evaluation of database queries by caching results of old queries and using them when answering new queries. We use a collaboration of semantic caches in a cooperative way process to resolve user queries so-called cooperative semantic cache as an extension. As a novelty in this paper, a new way of cooperative semantic cache organisation is proposed, i.e., a paradigm for reference caching as prefix _index of query information to reduce access latency as well as fault tolerance. Intelligence is used for fetching the relevant cache content and its consistency. Optimality is measured with an empirical test on real time application