Date Hierarchical Storage Strategy for Data Disaster Recovery
Cloud storage has become a widely accepted data storage model in recent years. With the development of cloud storage applications in various fields, cloud storage security issues have aroused people's special attention. In this paper, taking aim at ensuring data reliability and satisfying QoS r...
| Main Authors: | , , |
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| Format: | Article |
| Language: | English |
| Published: |
IEEE
2018-01-01
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| Series: | IEEE Access |
| Subjects: | |
| Online Access: | https://ieeexplore.ieee.org/document/8434096/ |
| _version_ | 1818927793581326336 |
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| author | Tian Jun-Feng Zhang Jia-Yao Du Rui-Zhong |
| author_facet | Tian Jun-Feng Zhang Jia-Yao Du Rui-Zhong |
| author_sort | Tian Jun-Feng |
| collection | DOAJ |
| description | Cloud storage has become a widely accepted data storage model in recent years. With the development of cloud storage applications in various fields, cloud storage security issues have aroused people's special attention. In this paper, taking aim at ensuring data reliability and satisfying QoS requirements for different users, a method named hierarchical storage-based data disaster recovery strategy was proposed. Cloud computing fault tolerance model is constructed by grading the storage resources of cloud service providers according to the service level to meet the different QoS requirements of the cloud users. On this basis, some storage levels are classified to improve resource utilization. The correctness of the classification strategy is analyzed theoretically, finally, the effectiveness of the proposed strategy is validated by emulation experiment. This paper has the theoretical and practical value to improve the overall experience of users. |
| first_indexed | 2024-12-20T03:18:40Z |
| format | Article |
| id | doaj.art-529477d8c1ba4cc2925a54936c593456 |
| institution | Directory Open Access Journal |
| issn | 2169-3536 |
| language | English |
| last_indexed | 2024-12-20T03:18:40Z |
| publishDate | 2018-01-01 |
| publisher | IEEE |
| record_format | Article |
| series | IEEE Access |
| spelling | doaj.art-529477d8c1ba4cc2925a54936c5934562022-12-21T19:55:16ZengIEEEIEEE Access2169-35362018-01-016456064561610.1109/ACCESS.2018.28624688434096Date Hierarchical Storage Strategy for Data Disaster RecoveryTian Jun-Feng0Zhang Jia-Yao1https://orcid.org/0000-0002-0146-5120Du Rui-Zhong2College of Computer Science and Technology, Hebei University, Baoding, ChinaCollege of Computer Science and Technology, Hebei University, Baoding, ChinaCollege of Computer Science and Technology, Hebei University, Baoding, ChinaCloud storage has become a widely accepted data storage model in recent years. With the development of cloud storage applications in various fields, cloud storage security issues have aroused people's special attention. In this paper, taking aim at ensuring data reliability and satisfying QoS requirements for different users, a method named hierarchical storage-based data disaster recovery strategy was proposed. Cloud computing fault tolerance model is constructed by grading the storage resources of cloud service providers according to the service level to meet the different QoS requirements of the cloud users. On this basis, some storage levels are classified to improve resource utilization. The correctness of the classification strategy is analyzed theoretically, finally, the effectiveness of the proposed strategy is validated by emulation experiment. This paper has the theoretical and practical value to improve the overall experience of users.https://ieeexplore.ieee.org/document/8434096/Cloud computingdata disaster recoverywarehouse storage systemstorage resources classification |
| spellingShingle | Tian Jun-Feng Zhang Jia-Yao Du Rui-Zhong Date Hierarchical Storage Strategy for Data Disaster Recovery IEEE Access Cloud computing data disaster recovery warehouse storage system storage resources classification |
| title | Date Hierarchical Storage Strategy for Data Disaster Recovery |
| title_full | Date Hierarchical Storage Strategy for Data Disaster Recovery |
| title_fullStr | Date Hierarchical Storage Strategy for Data Disaster Recovery |
| title_full_unstemmed | Date Hierarchical Storage Strategy for Data Disaster Recovery |
| title_short | Date Hierarchical Storage Strategy for Data Disaster Recovery |
| title_sort | date hierarchical storage strategy for data disaster recovery |
| topic | Cloud computing data disaster recovery warehouse storage system storage resources classification |
| url | https://ieeexplore.ieee.org/document/8434096/ |
| work_keys_str_mv | AT tianjunfeng datehierarchicalstoragestrategyfordatadisasterrecovery AT zhangjiayao datehierarchicalstoragestrategyfordatadisasterrecovery AT duruizhong datehierarchicalstoragestrategyfordatadisasterrecovery |