WSPRC: An Adaptive Model for Query Optimization over Web Services
Dunlu Peng, Chen Li, Feng Zhu, Ning Zhang · 2009
Query optimization over Web services is very important for data integration with Web services and has gained much attention in recent year. In this work, we propose an adaptive query optimization model for Web services, that is, Web Service Profiler-Reoptimizer-Cache (WSPRC). One of the core components of the model is Reoptimizer which is based on the adaptive greedy algorithm (A-Greedy) and analyzes the implementation of Web service query optimization process. We compare the traditional Greedy with A-Greedy from several aspects. The comparison and experimental results show that the WSPRC model and A-Greedy improve the efficiency of querying optimization over Web services.