Cloud computing is a paradigm in the modern era for the development of secure storage and secure job scheduling process in a cloud-based system. The cloud technology provides a user interface in the sense of raw data management with the relational databases to improve flexibility and scalability. Fuzzy-based Heuristic algorithm is proposed for secure storage allocation in a cloud environment. In this work, client systems are clustered using a fuzzy-based rule mechanism. The server generates a distributed public key using RSA for ensuring security and resolve memory recycling issues. It enhances the usage of the client over the cloud data storage in secure manner. It also improves the efficiency of data storage globally by implementing heuristic techniques. The K-nearest neighbors approach is used for efficient query searching for data storage in the clusters by the client. The proposed load-balanced scheduling approach enhances power consumption and efficiency. In the simulation, the results reveal that the proposed scheme provides better performance than existing approaches in terms of load balancing with security.

对于基于云的系统中的安全存储和安全作业调度过程的开发，云计算是现代的范例。云技术从关系数据库的原始数据管理的角度提供了一个用户界面，以提高灵活性和可伸缩性。提出了一种基于模糊的启发式算法，用于云环境下的安全存储分配。在这项工作中，客户端系统使用基于模糊的规则机制进行聚类。服务器使用RSA生成分布式公钥，以确保安全性并解决内存回收问题。它以安全的方式提高了云数据存储上客户端的使用率。通过实施启发式技术，还可以提高全局数据存储的效率。K近邻法用于客户端对集群中数据存储进行高效查询搜索。所提出的负载均衡调度方法提高了功耗和效率。在仿真中，结果表明，在负载均衡和安全性方面，该方案提供了比现有方法更好的性能。