A Data Security Storage Method for IoT Under Hadoop Cloud Computing Platform

Abstract

Taking the big data storage for internet of things (IoT) in the cloud computing environment as the research object, the paper mainly introduces two typical distributed storage systems in the cloud computing environment, namely Google’s GFS and Hadoop’s HDFS. The data storage technology is specially analyzed. The prior art was evaluated in terms of scalability and latency (how to support the storage of large amounts of small files), fault tolerance (data recovery in the event of data loss), and real-time performance of mass data storage. On this basis, the system architecture of the distributed file system is proposed. Aiming at the problem of IoT data security storage in cloud computing, an enhanced ant colony algorithm for data storage is proposed. The algorithm considers the shortest completion time and load balancing of data storage. At the same time, it refers to various improvements of ant colony algorithm in recent years, and innovatively assigns a task on a virtual machine as an ant search object. Experiments have shown that this method is effective.