Efficient Query Processing of Streaming Data Using Dynamic Heuristic Optimization Approach

摘要

Data stream management system is used to retrieve and process real-time perpetual data. Information available over web constitute of both static and dynamic data. Semantic illustration will be optimum to process such online streaming information efficiently. Continuous monitoring will be required in the case of real world data which are transient and dependent on both time and location. Effective processor is needed to process large amounts of time-dependent data. Efficient query processing can reduce the execution time and improve accuracy of streaming data. In this research, an efficient query processor is proposed using a Dynamic Heuristic Optimization (DHO) technique. The efficient retrieval of data can be achieved by applying dynamic optimized query plan. Various static and dynamic queries are executed and evaluated. The experimental analysis carried out shows DHO outperforms when compared to existing system.