Research Of Heterogeneous Data Integration Dynamic Scheduling Optimization Based On Ant Colony Algorithm

Accelerates along with the computer and the networking to develop, each kind of data saves by the different form in the different system, assumes the distributed heterogeneous state. More and more people want to gain and process the useful information among each massive information sources and different information sources in transparently, it is also the research on data integration system was always the primary cause of very hot topic of discussion in related domain. The aim of HIIS (heterogeneous information integrative system) is establish a complex information system by making use of available information sources, shield most of the differences of existing access methods and user interfaces of each heterogeneous data management systems. It also provides to the user an information interoperating platform as a common interface to access multiple heterogeneous data sources, integrate managing and combine the intermediate query results from these sources.Heterogeneous data integration dynamic scheduling optimization mechanism is the important of this paper research, it is proposes that autonomous data sources as well as the data quantity increase unceasingly had serious influence system performance.the scheduling optimization mechanism being put out before was affect by autonomous data sources and the rate of the network transmission. Design a fast and effective scheduling mechanism for the return results of the system is urgent affairs.Ant colony algorithm is a kind of biological evolution algorithm based on the heuristic.it was get the successful application in some domains, specially in the question of the Combinatorial optimization, for example, TSP,QAP and job-shop and so on, and also be easy to unite the other methods, having strong robust. After reading lots of the related paper of data scheduling, this paper propose a mechanism of heterogeneous data integration dynamic scheduling optimization based on ant colony algorithm,at the same time import MS and DS. the three aspect combine effectively that solve the issue of initialize delay,outburst of the data and slowly transmission rate, and scheduling by itself independence the other mode and data sources of the system.Finally, compared with a MST-TO and SR-DO, we are obtain the result that the algorithm performance of the heterogeneous data integration dynamic scheduling optimization based on ant colony algorithm more than front two.