Abstract
With the development of science and technology, cloud computing technology has changed people's office methods. People begin to use cloud services to realize remote collaborative office, which can save costs and improve work efficiency. However, users’ demand for cloud office is increasing, and their requirements for cloud office services are becoming higher. Aiming at the problem of uneven resource allocation of cloud office services, this paper proposes a cloud resource allocation algorithm CWPSO based on weight correction. This algorithm improves the problem of fixed weight of PSO algorithm in the process of particle update, so that the algorithm can search the target faster. Simulation results show that the performance of the resource allocation strategy obtained by the proposed algorithm is improved by 6.08% in terms of processing time.
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Wang, G., Wang, C., Gan, T., An, J. (2022). Research on Cloud Office Resource Allocation Algorithm Based on Correction Weight PSO. In: Sun, X., Zhang, X., Xia, Z., Bertino, E. (eds) Advances in Artificial Intelligence and Security. ICAIS 2022. Communications in Computer and Information Science, vol 1586. Springer, Cham. https://doi.org/10.1007/978-3-031-06767-9_9
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DOI: https://doi.org/10.1007/978-3-031-06767-9_9
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