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Research On The Knowledge Sharing Mode For The Cloud Platform Of Cloud Computing Industry Alliance

Posted on:2019-07-01Degree:DoctorType:Dissertation
Country:ChinaCandidate:L WeiFull Text:PDF
GTID:1369330542987728Subject:Management Science and Engineering
Abstract/Summary:PDF Full Text Request
The development of cloud computing technology promotes the economic development of various industries,and improves the management mode and resource processing capacity of all industries.Cloud computing is the application of cloud computing technology industry alliance,a coalition of organizations such as the common body,members through the way of cooperation competition to promote the development of cloud computing in China,for the rapid and stable development of cloud computing provides a basic guarantee.Under the background of knowledge economy times,knowledge has become the embodiment of the core competence in all walks of life,knowledge sharing level decided to cloud computing the degree of development and evolution,with the help of the knowledge sharing platform of cloud computing industry association and its members to implement knowledge sharing unification,thus improve the cloud computing industry association and member enterprises market value growth has become an inevitable trend,so based on the knowledge sharing platform of cloud computing industry alliance of knowledge sharing research has important theoretical significance and practical significance.Based on the existing research on cloud computing industry alliance,cloud platform and knowledge sharing mode,this dissertation analyzes the research and application status of knowledge sharing of cloud computing industry alliance cloud platform at home and abroad,defines the connotation and characteristics of cloud computing industry alliance,Based on knowledge demand analysis,this dissertation analyzes the knowledge sharing mechanism of cloud computing industry alliance based on the information niche,and analyzes the internal and external motivation of cloud computing industry alliance knowledge sharing.Based on the relationship between the main object and the shared environment As well as the technology of knowledge sharing information ecological elements of knowledge,to determine cloud computing industry alliance knowledge sharing information ecology chain and cloud computing industry alliance knowledge sharing information niche;to explore cloud computing industry alliance knowledge sharing process based on complex network theory to determine the cloud computing industry alliance The knowledge sharing process of cloud platform consists of three parts: knowledge acquisition,knowledge storage and knowledge service,and then puts forward the technical framework,hierarchical structure and functional framework of cloud computing industry alliance cloud platform.This dissertation studies the knowledge acquisition of cloud computing industry alliance cloud platform knowledge sharing.Based on defining the content of knowledge acquisition and the task,method and type of knowledge acquisition,it determines the types of cloud computing based on private cloud,public cloud and hybrid cloud Knowledge acquisition sources,knowledge demand generation and knowledge selection as a means to determine cloud computing industry alliance knowledge acquisition process,put forward internal,external and quasi-external knowledge acquisition mode,so as to obtain explicit and implicit knowledge using different acquisition modes to obtain operation.In the research of knowledge storage in cloud computing platform cloud knowledge sharing,the necessity of knowledge storage of cloud computing industry alliance and the obstacles existing in four aspects of tacit knowledge acquisition,knowledge acquisition channel,knowledge storage technology and knowledge storage security Based on the knowledge representation of cloud computing industry alliance,this dissertation proposes an irregular dimension modeling technology for multi-dimensional knowledge resource data modeling and on-line analysis of knowledge storage of cloud computing industry alliance,builds a multi-dimensional knowledge resource data model of cloud computing industry alliance knowledge storage,Clear online analysis of the roll-up and drilling process,proposed multi-dimensional knowledge resource conversion algorithm.In order to improve the efficiency of storage and utilization of knowledge resources,this dissertation proposes a hybrid knowledge storage and dynamic quantitative knowledge storage mode.Based on the definition of the connotation and characteristics of knowledge service,the dissertation gives the driving force of knowledge service,the meaning of knowledge service and the knowledge cloud service of cloud computing industry alliance.Through knowledge heterogeneity,knowledge Management system differences and asymmetric information service knowledge of cloud computing industry alliance knowledge service barriers.Based on the maximization of the interests of alliance members,this dissertation puts forward the knowledge service model both inside and outside the alliance,the knowledge service mode among alliance members and the internal knowledge service mode among alliance members.It analyzes the main influencing factors of knowledge service of cloud computing industry alliance,Bayesian fuzzy rough set improved index screening algorithm,construction of cloud computing industry alliance knowledge service evaluation index system,evaluation of cloud computing industry alliance knowledge service.On the basis of the above research,Zhongguancun cloud computing industry alliance is taken as the research object,and the empirical test is carried out to verify the knowledge acquisition,knowledge storage and knowledge services respectively,so as to verify the knowledge acquisition mode,knowledge storage mode and knowledge service mode The correctness and feasibility of the last cloud computing industry alliance Zhongguancun development and knowledge sharing process to give rise to the strategy.
Keywords/Search Tags:cloud computing industry alliance, cloud platform, knowledge sharing model
PDF Full Text Request
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