Optimization algorithm of energy big data storage for cloud computing in Internet of Things

Abstract

Hash algorithm is currently the mainstream algorithm of data storage for cloud computing， but it has some shortcomings， such as low data processing efficiency and low fault tolerance. To solve these problems， this paper combines HDFS （Hadoop distributed file system） and Hash algorithm to optimize the data storage of cloud computing in the Internet of Things. Firstly， HDFS is used to optimize the storage architecture of structured data. Then， the storage design structure of file type data is optimized. Finally， the experiments are carried out to verify the proposed algorithm. The experimental results show that compared with the original algorithm， the data processing efficiency of the proposed optimization algorithm is improved by 24.53% on average， and the fault tolerance rate is improved by 25.56% on average， which fully shows that the proposed data storage optimization algorithm for cloud computing is more superior.

Keywords

• energy big data
• cloud computing
• data storage
• hash algorithm
• internet of things