Abstract
With the expansion of the Internet of Vehicle’s system size, traditional storage architecture has encountered performance bottleneck in terms of throughput and scalability. To address these issues, the essay builds a distributed caching system by using cache node, major node and query interface. To implement storage logic, vehicular terminal dynamically sends data, and the distributed business process of stream data is achieved by using cache system and compressed function in protocol server. Protocol server also assists database server in compression storage. Data from our IoV platform is adopted for testing, and experimental results show that memory optimizing system effectively improves throughput and scalability.
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Acknowledgments
This work was supported by the National Natural Science Foundation of China (61662013, U1501252, 61662015, 61562014, 61362021, 61363005, 61462017), Natural Science Foundation of Guangxi province (2014GXNSFDA118036, 2016GXNSFAA380149),the Key Laboratory of Cognitive Radio and Information Processing Ministry of Education (2011KF11), Guangxi Key Laboratory of Trusted Software (kx201511), Innovation Project of GUET Graduate Education (2016YJCXB02, 2017YJCX34).
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Hu, X., Li, C., Zhang, H., Zhang, H., Zhou, Y. (2017). Distributed Caching Based Memory Optimizing Technology for Stream Data of IoV. In: Wang, G., Atiquzzaman, M., Yan, Z., Choo, KK. (eds) Security, Privacy, and Anonymity in Computation, Communication, and Storage. SpaCCS 2017. Lecture Notes in Computer Science(), vol 10658. Springer, Cham. https://doi.org/10.1007/978-3-319-72395-2_2
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DOI: https://doi.org/10.1007/978-3-319-72395-2_2
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