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UC System Operation And Maintenance Management Based On Microservice Architecture

Posted on:2021-02-02Degree:MasterType:Thesis
Country:ChinaCandidate:H T XuFull Text:PDF
GTID:2438330614466137Subject:Engineering Management
Abstract/Summary:PDF Full Text Request
At present,the micro-service architecture has become the mainstream technology architecture of Internet companies,and it has the advantages of independent functional modules and rapid iteration in the agile development management process.However,as a new technical architecture,while accelerating the iterative development of the project,it also brings some new problems to the operation and maintenance management of the project.Network based on the 2018 Russian football World Cup live projects-UC system based on micro service architecture as the research object,using the method o f management analysis of resource management and risk management problems in operational management,and introduce effective technical management means to guarantee the stability of the system in the network World Cup live period and availability,to improve the quality and efficiency of operational management.There is not only the inheritance of traditional project operation and maintenance management methods,but also the innovation of operation and maintenance management of micro-service architecture system.First of all,SWOT analysis is used to summarize the advantages,disadvantages,opportunities and threats of the micro-service architecture in the operation and maintenance of the project,and problems that may be caused by the disadvantages of the micro-service architecture in the operation and maintenance of the system are analyzed.Through literature induction,this paper sorts out the relevant theories and methods of resource management and risk management that can be used for reference in the process of soft ware operation and maintenance.Secondly,in view of resource management part of the UC system in combination with the project management body of knowledge,flow model to analyze its funnel are faced with the problem in the World Cup live project,part in risk management through the fishbone diagram analysis system is the root cause of the failure,from system operation maintenance of risk management to avoid and reduce the system failure is the focus of the negative effects on the product user.Thirdly,it proposes solutions to the operation and maintenance management problems of UC system based on micro-service architecture during the live broadcast of the 2018 World Cup in Russia.In the human resource management,the random forest algorithm is used to analyze the factors affecting the number of people watching the World Cup online based on the characteristics of the World Cup,and the human resources are effectively arranged according to the importance of the influencing factors.In the server resource management,the server resources required during the live broadcast of the system are reasonably estimated based on the SPECweb2005 estimation method based on the operation and maintenance technology tools.In the process of risk management,technical solutions are proposed from six aspects: hardware failure,software failure,network failure,operation failure,product defect and data failure.Finally,the effectiveness of the random forest algorithm,the correct selection of estimation method,the effective arrangement of human resources and the correct evaluation of server resources were verified through the project practice,and the effectiveness of the risk management cycle process was verified,including the effectiveness of risk identification,risk assessment,r isk response and risk supervision in the process of system operation and maintenance.Finally,the method proposed in this paper was successfully applied to the operation and maintenance of UC system in the World Cup webcast project,which verified the effectiveness of the solution and provided a full reference for the operation and maintenance of the micro-service architecture system to ensure large-scale activities.
Keywords/Search Tags:Micro-service architecture, Random forest algorithm, System resource estimation method, Risk management cycle, UC System
PDF Full Text Request
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