| Autor: |
CHEN Zuge, MAO Dong, RAO Hanyu, ZHANG Chen, ZHANG Jiuding, LIU Zehan |
| Jazyk: |
čínština |
| Rok vydání: |
2023 |
| Předmět: |
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| Zdroj: |
Zhejiang dianli, Vol 42, Iss 8, Pp 19-26 (2023) |
| Druh dokumentu: |
article |
| ISSN: |
1007-1881 |
| DOI: |
10.19585/j.zjdl.202308003 |
| Popis: |
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. |
| Databáze: |
Directory of Open Access Journals |
| Externí odkaz: |
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