云计算环境下数据安全存储的初始划分与分配策略研究

Research on Initial Partition and Allocation Strategy of Data Secure Storage in Cloud Computing Environment

数据资源存储是云计算提供的一项基本服务,其安全性、可用性和可靠性受到普遍关注。传统云数据存储策略多针对系统的存储效率与负载均衡进行研究,无法规避用户数据存储位置的安全风险。为此,论文根据云环境中数据完整泄露的最低概率,建立了数据分片的数量标准对其进行range分片;然后将T-color思想与贪心算法结合,提出SA-Greedy(secure automatic greedy)数据分配策略,确定数据片段的物理实际存储结点,进一步提升数据存储的安全性。实验表明,该初始数据资源分布策略在保障了存储位置安全性的同时,有负载均衡、执行耗时短、检索效率高等优点。

Data resource storage is a basic service provided by cloud computing,and its security,availability and reliability are widely concerned.Traditional cloud data storage strategies mainly focus on the storage efficiency and load balance of the system,which cannot avoid the security risk of user data storage location.Therefore,this paper establishes the number standard of data sharding and conducts range strategy in data partition according to the lowest probability of complete data leakage in the cloud environment.With the combination of T-color and Greedy algorithm,the SA-Greedy strategy is proposed to determine the physical location of data fragments in order to further improve the security of data storage.Experiment shows that this initial data resource deployment strategy not only guarantees the security of storage location,but also has the characteristics of load-balance,short execution time and high retrieval efficiency.