New Method for Checking the Data Stored with Fault Tolerance in Cloud

JI Qian; YANG Chao; ZHAO Wenhong; ZHANG Junwei

doi:10.11999/JEIT151344

Volume 38 Issue 10

Oct. 2016

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Article Navigation > Journal of Electronics & Information Technology > 2016 > 38(10): 2640-2646

Dai Jun, Wang Jianhai, Li Ying. APPLICATION OF ADAPTIVE INTERACTING MULTIPLE MODEL ALGORITHM FOR TRACKING A MANOEUVRING TARGET[J]. Journal of Electronics & Information Technology, 1998, 20(6): 733-738.

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JI Qian, YANG Chao, ZHAO Wenhong, ZHANG Junwei. New Method for Checking the Data Stored with Fault Tolerance in Cloud[J]. Journal of Electronics & Information Technology, 2016, 38(10): 2640-2646. doi: 10.11999/JEIT151344

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New Method for Checking the Data Stored with Fault Tolerance in Cloud

doi: 10.11999/JEIT151344

1.
JI Qian① YANG Chao① ZHAO Wenhong② ZHANG Junwei
2.

Funds:

The National Natural Science Youth Foundation of China (61303219), The National Natural Science Foundation of China (61672415), The Fundamental Research Funds for the Central Universities (JB140303)

Received Date: 2015-12-01
Rev Recd Date: 2016-07-12
Publish Date: 2016-10-19

Abstract

Abstract

Implementation of file fault tolerance is the key for preventing data loss in cloud. However, cloud storage service providers may not offer the committed level, which results in that users may suffer data loss and economic loss. Existing inspection algorithms of testing of data fault tolerance in cloud have disadvantages such as spoofing attack of pre-fetch, low efficiency and poor practicality, which can not detect the foul behavior of cloud storage providers within a certain probability. To deal with the above problems, utilizing the difference of sequential access and random access, a remote testing algorithm of data fault tolerance in cloud named (Difference of Random and Sequential access Time) (DRST) is designed. The core idea is that the time of reading blocks of a file stored in order on a disk is much shorter than reading blocks of a file stored random on different disks. A strict theoretical proof and a in-depth performance analysis to the proposed scheme are carried out. The results show that the proposed scheme can accurately detect whether the cloud storage provider supplies clients with the committed level of fault tolerance.Whats more, the proposed scheme is much more efficient than the existing ones.
- Cloud storage,
- Cloud file security,
- Data fault tolerance,
- Random access,
- Sequential access

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References(13)

References

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