Research On Initial Layout And Dynamic Adjustment Strategy For Cloud Computing Data Secure Storage

Cloud computing as an emerging service computing paradigm,of which core lies in IT resources as a service and charging on demand,has been widely used in the new generation of information technology-related fields.The storage of data resources is a basic service provided by cloud computing,and its security,availability and reliability are widely concerned by users.However,most of the traditional data storage strategies focus on the storage efficiency and load balance of the system,which cannot avoid the security risk of the physical storage location of the user data.Therefore,this paper focuses on the spatial layout and path optimization of data secure storage in cloud computing environment.Based on the consideration of data storage security,this paper studies the physical spatial layout and dynamic adjustment strategy of data storage in cloud environment,to avoid system security problems caused by data storage location leakage under the premise of guaranteeing cloud service quality.The work done in this paper is as follows:(1)In view of the initial data resource safety storage space layout and storage routing problem,this paper presents a data storage shard strategy and initial allocation methods.In the data partition stage,based on the research on the lowest probability of complete data leakage in the cloud physical environment,the security standard of the number of data resource distribution in the cloud environment is established to reduce the risk of data leakage.Then,Range sharding strategy is used to improve the utilization efficiency of data fragments.In the initial data allocation stage,a SA-Greedy(secure automatic Greedy)data allocation strategy is proposed by combining T-color idea with Greedy algorithm to determine the actual physical storage space and storage nodes of data fragments.The comparative experiment shows that this initial data resource distribution strategy not only ensures the security of storage location,but also has the advantages of load balancing,short execution time and high retrieval efficiency.(2)In view of the problem of storage location adjustment caused by the dynamic change of data resources during the operation of cloud computing,this paper first presents a data request habit detection strategy RT to detect the rationality of the data storage scheme in the current environment in real time.By using the optimization ability of genetic algorithm,users and related applications can obtain data safely and efficiently.Experiments show that this method can improve the security of data storage and the efficiency of data acquisition under the changeable data request mode.Researching the layout and optimization of data secure storage in cloud computing environment from the perspective of physical space and storage path optimization of data resource secure storage can effectively improve the security of data resource storage in cloud computing environment,which has important theoretical significance and value of practical application for the application of cloud computing system security.