Research And Implementation Of Microsoft Service Deployment Scheduling Under Autonomous Container Cloud

With the popularization and improvement of cloud computing technology.demands of rapid deployment and response of service applications in the big data environment are increasing.Therefore,whether it is to propose a micro-service architecture or to use lighter containers than virtual machines,Internet vendors are doing their best to develop the value of big data for them.According to the technological breakthrough of our country's autonomous microprocessor,batches of domestic hardware products come out one after another.Although the development of the domestic microprocessor in China is improving,it also has a long way to go in terms of the performance and implementation technology.Not only the hardware,but also the software platform that adapts to the autonomous platform has considerable blankness.Therefore,according to the characteristics and problems of China's independent platform,the development of independent cloud platform is one of the important tasks of China's independent software development.Through the investigation of relevant background and the analysis of actual demand,this paper uses Docker,Nginx and in-depth learning technology to design and develop a micro-service deployment scheduling system under the autonomous cloud platform,and then realize the visual deployment and integrated one-key management of micro-services.It supports the development and upload management of application mirrors.It can reasonably balance the load and flexible dispatch according to the actual operation and demand of the application,accurately predict the important parameters such as workload and response time,maximize the use of computing resources and reduce costs.Thus,it adapts the autonomous hardware platform at the software level and solves the problem of its insufficient performance to a certain extent.A series of functional tests and model experiments show that the deployment scheduling system can meet the functional and non-functional requirements of users,while the flexible scheduling model can work well in the autonomous cloud environment.The development of the deployment scheduling system contributes to the development of our own cloud computing service platform.