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2016 IEEE First International Conference on Data Science in Cyberspace (DSC) (2016)
Changsha, China
June 13, 2016 to June 16, 2016
ISBN: 978-1-5090-1193-3
pp: 430-434
ABSTRACT
In the Internet of Vehicles, small data with high density collected by vehicle sensors is periodically uploaded to the cloud database. When the amount of online vehicles is large, the cloud server will be challenged by the soaring small datum. Firstly, in order to realize the goal of parallel processing between storage manager and calculation manager and the load balancing of the nodes, the thesis divides the uploaded memory datum into analysis channel and storage channel according to the traffic type. In the storage node, the caching technology that supports dynamic adjustment is introduced, and it can guarantee the stability of the system based on the storage pressure by dynamic adjusting caching force. In the last part of the thesis, system architecture with good expansibility is designed to support the storage manager and calculation manager increasing their storage/calculation nodes.
INDEX TERMS
Connectors, Distributed databases, Data mining, Cloud computing, Vehicle dynamics, Automobiles
CITATION

H. Zhang, H. Zhang and X. Hu, "Distributed Storage Optimization for Small Data with High Density in Internet of Vehicles," 2016 IEEE First International Conference on Data Science in Cyberspace (DSC), Changsha, China, 2016, pp. 430-434.
doi:10.1109/DSC.2016.107
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