PERFORMANCE EVALUATION OF QUERY TRIMMING STRATEGIES IN SEMANTIC CACHING ENVIRONMENT
The Semantic caching is an efficient caching strategy for client-side processing of queries. This strategy involves comparing user queries with previously cached queries and finding the similarities between these queries. These similarities constitute the partial answer to the user query and therefore they would be extracted from the user query. Then only the remainder of the user query would be sent to the server. Therefore, this can reduce significantly not only the communication between client and server and as a result free network bandwidth, but also improves the speed of query processing in a distributed environment. This paper presents simulations for manipulation of multi-table queries and provides extensive simulations for single-table queries in comparison with previous methods.
Boolean logic Query Optimization Query Containment Semantic caching
S. Kami Makki Stefan Andrei Yanwen Guan Mattie Sue Judd
Department of Computer Science, Lamar University, Beaumont, Texas, U.S.A. Department of Mathematics and Computer Science, Oral Roberts University, Tulsa, Oklahoma, U.S.A.
国际会议
13th International Conference on Enterprise Information System(第13届企业信息系统国际会议 ICEIS 2011)
北京
英文
2055-2062
2011-06-08（万方平台首次上网日期，不代表论文的发表时间）