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Research On Key Resource Service Network Discovery Method Based On Correlation Analysis

Posted on:2021-01-22Degree:MasterType:Thesis
Country:ChinaCandidate:Z ZhangFull Text:PDF
GTID:2428330611962524Subject:Computer technology
Abstract/Summary:PDF Full Text Request
With the development of economic globalization,the collaborative task model,in which multiple organizations participate in to complete a task in a collaborative manner,is applied in more and more fields.Through this model,resource services are integrated and shared by the service platform.To handle the low efficiency of business process caused by the growing business demands and the insufficient way of managing resource services,forming a resource service network by connecting resource services with its' interaction is a significant measure to improve the productivity of business process.However,resource services,which are required by business process in collaborative task,have different dependencies.As constraints,these dependencies would affect the collaboration of resource services and would bring restriction to the overall efficiency of business process.To strengthen the collaboration of resource services and thereby improve the overall efficiency of business process,resource services with dependencies are mined from resource service sequence with the support of workflow technology,and the correlation of these resource services are analyzed.Then,this paper introduces the mining method towards resource service network.The works of this paper are listed as follows.(1)Analysis method of correlation between resource services.Based on the dependencies of resource services in the business process,the correlation between resource services is studied.Firstly,dependencies of resource services in the resource service sequence is analyzed and several algorithms are proposed to mine each of the dependencies;Secondly,as the basis of correlation measurement,the measurement of dependencies' strength are studied;Then the measurement of correlation between resource services is formally proposed.Finally,a simulation experiment is performed using the business process of collaborative production of cement as an example to verify the effectiveness of this method.(2)Discovery method for key resource services network(KRSN).First,based on the correlation between resource services,a resource service network(RSN)is built.To discover a KRSN from a regular RSN that contains numerous resource services,a community detection algorithm-IES_LABWN(Local Algorithm Based on Weighted Network with Improved Expansion Strategy)with improved community expansion strategy is proposed.Under the threshold of correlation degree,the RSN is divided into communities,and KRSN is discovered.Then,the effectiveness of the proposed method for KRSN discovery is verified by experiments.Finally,with the proposed method,this paper discusses the application process of the collaborative manufacturing cloud service platform for SMEs.
Keywords/Search Tags:Service Network, Key Resource Service Network, Dependency, Correlation between Resource Services, Community Detection
PDF Full Text Request
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