自适应的混沌蚁群聚类XML分片模型

Aiming at the complexity of query for the mass XML documents, this paper tries to form a new model of the parallel XML Databases by explaining the definition of XML-key and the key value operate. basing the chaos principle and combining the ACO clustering algorithm; By defining relevant chaos fitness function to weight the similarity of ants and neighborhoods, let the whole manual ant-swarm move dynamically to form many independent sub populations, meanwhile adjust the parameters of the function so as to need only a few of partial information in the manual ants movement to faster the XML document syncopation and improve the placement quality. The simulation results comparing with other placement methods show it has a more visible model and a less computation.