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Optimal Storage Allocation for Delay Sensitivity Data in Electric Vehicle Network | IEEE Journals & Magazine | IEEE Xplore

Optimal Storage Allocation for Delay Sensitivity Data in Electric Vehicle Network


Abstract:

For significant characteristics such as high efficiency and environmental protection, electric vehicles (EVs) have become a new technology trend in the intelligent transp...Show More

Abstract:

For significant characteristics such as high efficiency and environmental protection, electric vehicles (EVs) have become a new technology trend in the intelligent transportation system (ITS). Data like real time traffic situation and charge point occupation in ITS shows significant real-time characteristics. Distributed storage system, an effective technology to ensure reliable sharing of dynamic data, is first adopted to storage allocation for delay-sensitive data in this article. In order to improve the recovery probability of delay-sensitive data within its timeliness, we establish an access queuing delay model based on the characteristics of sensitive data. Then, we find the optimal storage allocation strategy across distributed storage nodes for data with different delay threshold in terms of the recovery probability. The analysis shows that for data with low real-time performance and delay sensitivity, the maximal symmetric allocation is more excellent. For real-time data with low delay threshold, the minimal allocation is better under the condition of limited storage budget.
Published in: IEEE Transactions on Intelligent Transportation Systems ( Volume: 22, Issue: 1, January 2021)
Page(s): 579 - 591
Date of Publication: 21 October 2020

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