Research And Implementation Of Automatic Scalable Method For Computing Resources In CsCloud

With the rapid development of network technology,new media,live broadcasts and social platforms have been fully applied in life,and the problem of efficient storage of massive data has become a hot spot.Cloud storage has been widely used due to its unified management,random reading,and resource sharing.With the geometric growth of data request traffic in cloud storage systems,scalable technology,which is an important guarantee for efficient and smooth operation of cloud storage systems,has become a research hotspot Problems such as extended delay and complex management are urgent problems to be solved in cloud storage.Therefore,the research of automatic scalable methods is of great significance to solve the above problems and even the development of cloud storage.Based on research and analysis of the scalability of virtual data storage server(VDS),a computing resource in the self-developed CSCloud cloud storage platform,an automatic scalable method of integrating multiple services was proposed and implemented in this paper,which achieves a quick and easy extension of CSCloud computing power.The specific research contents include: Based on extended interaction requirements analysis,CSCloud VDS Management System(CDMS)was proposed and implemented by combining with Flask framework and RESTful interface technology to provide unified call and access services for automatic expansion;Based on CSCloud storage requirements analysis,the perceptual anti-affinity filtering strategy was configured by combining with open source virtualization scheduling The mechanism Nova-Schedulerand,and a multi-dimensional feature weight selection strategy was implemented to provide scheduling services for automatic expansion;Based on the configuration management server storage load analysis,,the VDS load control strategy and multi-step automatic design are implemented by combining with the monitoring threshold triggering technology.Installing modules to provide triggering and configuration services for automatic expansion.At the same time,the xinit starting method is used to design and implement VDS portable access management,access management services was provided for extended VDS.In this paper,the cloud computing simulation platform CloudSim is used to evaluate theproposed VDS scheduling strategy.The results show that the scheduling strategy can effectively improve the resource utilization of cloud resources.Then,in the CSCloud environment,the feasibility test of the proposed auto-scalable method is carried out.The experimental results show that the proposed method can cope with the expansion problem caused by load overload in CSCloud,and realize low-latency CSCloud computing capability extension and VDS flexible management.The automatic scalable method proposed in this paper not only applies to CSCloud,but also provides a new idea and method for dynamic expansion in cloud storage environment.