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11 October 2023 Elastic aggregation of network flows based on date field clustering
Debin Wei, Cheng Gao, Ruiyan Cai, Li Yang
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Proceedings Volume 12800, Sixth International Conference on Computer Information Science and Application Technology (CISAT 2023); 1280057 (2023) https://doi.org/10.1117/12.3004098
Event: 6th International Conference on Computer Information Science and Application Technology (CISAT 2023), 2023, Hangzhou, China
Abstract
Aiming at the problems that the existing network flow to QoS (Quality of Service) class aggregation lacks flexibility and the related clustering methods have many iterations and slow clustering, a dynamic flow clustering method was proposed. Using the method of data field clustering and rough set theory, the network flows are clustered according to the QoS attribute value of network flows, and the membership degree of statistics is used to cluster network flows flexibly, so that network flows can be aggregated flexibly. With each data point as the field source, the relationship of each data point in the field is established, and the clustering speed is improved. Experimental results show that the algorithm can play a certain dynamic regulation effect in both low and high load conditions.
(2023) Published by SPIE. Downloading of the abstract is permitted for personal use only.
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Debin Wei, Cheng Gao, Ruiyan Cai, and Li Yang "Elastic aggregation of network flows based on date field clustering", Proc. SPIE 12800, Sixth International Conference on Computer Information Science and Application Technology (CISAT 2023), 1280057 (11 October 2023); https://doi.org/10.1117/12.3004098
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KEYWORDS
Elasticity
Engineering
Inspection
MATLAB
Quality management
Statistical methods
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