Proposing a New Method for Query Processing Adaption in DataBase
This paper proposes a multi agent system by compiling two technologies, query processing optimization and agents which contains features of personalized queries and adaption with changing of requirements. This system uses a new algorithm based on modeling of users' long-term requirements and also GA to gather users' query datas. Experimented Result shows more adaption capability for presented algorithm in comparison with classic algorithms. In recent years, use of Adaptive Query Processing (AQP) has been increased as a solution to the problems of query optimization and execution - across relational, text or XML data regardless of whether the data is accessed locally, from the web or etc. Much of this is motivated by the emergency requirement of domains to optimization of query processing.