关键词: Web数据聚类, 时间序列, 任务调度

Abstract: In order to achieve fast clustering Web service request data and improve the accuracy of clustering, a Web data clustering algorithm with incremental sorting and retrieval interaction is proposed. The algorithm makes Web data clustering be defined in the time sequence, and uses time series incremental clustering method. First, it reduces the complexity of Web data through data in compressed form, then based on service time similarity, time series data clustering is done. Finally, for the problem of the best service task scheduling Web cluster services, through the implementation capacity of the server as a standard the service tasks are assigned. Simulation results show that compared with high-dimensional data grid-based hierarchical clustering algorithm and incremental learning based multi-objective fuzzy clustering algorithm, the algorithm proposed in this paper at the time of clustering, the clustering accuracy, the success rate of all service execution get better results.

Key words: Web data clustering, time series, task scheduling