Research On Exploring The Demand Of Cloud Service For Networked Manufacturing Business

Economic globalization and the deepening of international division bring theconsumer demand for personalized, diversified, market becoming more competitive."Networked Manufacturing" must face one of the most problem is that what productmanufacturers will appropriately cooperate with suppliers who supply componentsand parts? And suppliers who supply componets and parts how to find the manufac-turers that they could supply componets and parts with them.Cloud service "is a newservice model based on the pwoerful computing capability of cloud computing,ithas changed the concepts and methods of traditional information service and makedinformation service have a qualitative change.Based on the networked manufacturingbackground and combined with the cloud service concept, this paper proposed a newinformation service model, information resource service (Information Resource As AService, IRAAS). The ideal of IRAAS service provides a new opportunity for us tosolve the problem of information needs of network manufacturing enterprise becauseof cooperation. In IRAAS mode, timely, accurately find the information about servicedemand of enterprise and service provider of enterprise that they can cooperate, thenwe may send these information to each other according to cloud service pattern, it willpromote manufacturing enterprises have broad, appropriate cooperation and promoteeconomic development. Therefore, how to timely, accurately find demand of serviceand supply of service is the key technology to solve the problem. Research and inno-vation of this paple mainly include the following aspects:Based on an in-depth discus-sion of cloud computing and cloud service concept, this paper proposed a new modeof information service--information resources as a service (Information Resource AsA Service). This paper puts forward a method and strategy of automatic, intelligentfind the demand of manufacturing enterprises:(1)Through the use of distributed WebSpider to massive, parallel extract website address of networked manufacturing enter-prises，efficient implementation of extraction of the website address of manufacturingenterprise.(2)The networked manufacturing enterprise website have hundreds of in-ternal link webpage and only some internal link webpage with valuable informationresources, this phenomenon seriously affects the efficiency of the extraction system.therefore，this paple proposes a combined strategy of "the keyword of link analysis"and "the keyword of title of link analysis", implementation of accurate extraction ofinternal link webpage of networked manufacturing enterprises "product information","the strength of the enterprise information","business contact information" threetypes of information.(3)After accurate extraction of three types of information about"product information","the strength of the enterprise information","business contact information" exit specific link webpage, propose a strategy of combining of "extrac-tion method base on Regular expressions ","extraction method base on webpagetemplate ","extraction method base on label block " to efficient, accurate extract"product information","the strength of the enterprise information","business contactinformation" of networked manufacturing enterprises.(4)Finally, construct the strategyand architecture of extracting demand of networked manufacturing, and make thecorresponding strategies and techniques applied to the Hadoop of distributed platformto solve the problem of massive data and more efficient information resources ofcloud services.