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Energy-Efficient Algorithm for Assigning Verification Tasks in Cloud Storage
( Guangwei Xu ),( Zhifeng Sun ),( Cairong Yan ),( Xiujin Shi ),( Yue Li ) 한국인터넷정보학회 2017 KSII Transactions on Internet and Information Syst Vol.11 No.1
Mobile Cloud Computing has become a promising computing platform. It moves users` data to the centralized large data centers for users` mobile devices to conveniently access. Since the data storage service may not be fully trusted, many public verification algorithms are proposed to check the data integrity. However, these algorithms hardly consider the huge computational burden for the verifiers with resource-constrained mobile devices to execute the verification tasks. We propose an energy-efficient algorithm for assigning verification tasks (EEAVT) to optimize the energy consumption and assign the verification tasks by elastic and customizable ways. The algorithm prioritizes verification tasks according to the expected finish time of the verification, and assigns the number of checked blocks referring to devices` residual energy and available operation time. Theoretical analysis and experiment evaluation show that our algorithm not only shortens the verification finish time, but also decreases energy consumption, thus improving the efficiency and reliability of the verification.
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A Rapid Locating Protocol of Corrupted Data for Cloud Data Storage
( Guangwei Xu ),( Yanbin Yang ),( Cairong Yan ),( Yanglan Gan ) 한국인터넷정보학회 2016 KSII Transactions on Internet and Information Syst Vol.10 No.10
The verification of data integrity is an urgent topic in remote data storage environments with the wide deployment of cloud data storage services. Many traditional verification algorithms focus on the block-oriented verification to resolve the dispute of dynamic data integrity between the data owners and the storage service providers. However, these algorithms scarcely pay attention to the data verification charge and the users` verification experience. The users more concern about the availability of accessed files rather than data blocks. Moreover, the data verification charge limits the number of checked data in each verification. Therefore, we propose a mixed verification protocol to verify the data integrity, which rapidly locates the corrupted files by the file-oriented verification, and then identifies the corrupted blocks in these files by the block-oriented verification. Theoretical analysis and simulation results demonstrate that the protocol reduces the cost of the metadata computation and transmission relative to the traditional block-oriented verification at the expense of little cost of additional file-oriented metadata computation and storage at the data owner. Both the opportunity of data extracted and the scope of suspicious data are optimized to improve the verification efficiency under the same verification cost.
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