Management And Sharing Of Computing Resources Based On Container Technology

At present,with the continuous acceleration of network and the declining cost of hardware resources,the concept of public resources is deeply rooted in people's minds,and cloud computing technology has gradually had some impact on the public.Relevant technical research is also increasingly mature and has had a positive impact on many aspects of the society.Container technology research in the cloud computing field is increases dramatically,it can help the system to manage resources in a more lightweight way,and help the system render more services on hardware resources.Currently,with the continuous research on the field of cloud computing in colleges and universities,the scale of teachers and students in colleges and universities is expanding,and cloud computing technology is gradually combined with existing educational resources to provide more services and resource management methods for modem teaching methods.In this way,it is a hot research topic to effectively improve the availability rate of teaching resources and the efficiency of information resources management.In order to improve the utilization rate of idle resources in the laboratory,this paper explores and researches the cloud computing platform,and finally developed a cloud computing platform for managing and sharing resources based on container technology.The system cloud platform can provide users with highly available and elastically expandable resource services and the system increases the security and reliability of system data,and improves the isolation between different departments and different projects.At the same time,the system cloud platform can provide stable and reliable log services for users and system administrators,and record various data operations of the system in real time,which provides strong support for security analysis,resource change tracking and compliance auditing.Secondly,this paper studies and analyzes the resource scheduling algorithm in the cloud computing field,and allocates the resource scheduling in the cloud environment to the 3D boxing problem,and combines the computing resources,storage resources and network resources that affect the storage efficiency,and optimizes the remaining space.The algorithm transforms the 3D boxing problem in cloud storage into a two-dimensional problem with high constraints.Through simulation experiments,the feasibility of the algorithm in cloud resource scheduling is verified.Finally,the paper analyzes the virtual machine migration scheduling algorithm in cloud computing,analyzes the factors affecting the data center power consumption,discusses the criteria that need to be considered when virtual machine migration,and an basis of the OpenStack Neat framework according to the actual production environment.The migration algorithm of VM is modified reasonably.Based on the premise of reducing the overload probability and efficiency,the optimal heuristic algorithm for intermediate value fitting is proposed.The effectiveness of the algorithm is verified by simulation experiments.