Cloud Storage Data Retrieval Method of Port Logistic Based on Particle Swarm Optimization

ABSTRACT Qin, Y.Y., 2020. Cloud storage data retrieval method of port logistic based on particle swarm optimization. In: Al-Tarawneh, O. and Megahed, A. (eds.), Recent Developments of Port, Marine, and Ocean Engineering. Journal of Coastal Research, Special Issue No. 110, pp. 295–298. Coconut Creek (Florida), ISSN 0749-0208. The arrival of big data is a major challenge for information technology. In particular, cloud storage and retrieval of big data is also an important technology. It is also an important part of national information security. The cloud storage data retrieval method of port logistic based on particle swarm optimization algorithm proposed in this paper, combined with Matlab software, realizes the PSO algorithm optimization model, and establishes an experimental scenario to simulate the retrieval process of cloud storage. The results prove that the data retrieval method of port logistic has a high retrieval speed and stability. In the future research, the author will focus on the experimental improvement of the method of port logistic to obtain better application effect in the data retrieval process of cloud storage.

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