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Intelligent Traffic...
Intelligent Traffic-Service Mapping of Network for Advanced Industrial IoT Edge Computing
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Liu, B. (författare)
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Zheng, T. (författare)
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- Thar, Kyi (författare)
- Mittuniversitetet,Institutionen för data- och elektroteknik (2023-)
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- Gidlund, Mikael, 1972- (författare)
- Mittuniversitetet,Institutionen för data- och elektroteknik (2023-)
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Ma, X. (författare)
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Lei, B. (författare)
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Zhang, H. (författare)
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Guizani, M. (författare)
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(creator_code:org_t)
- IEEE conference proceedings, 2024
- 2024
- Engelska.
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Ingår i: IEEE International Workshop on Factory Communication Systems - Proceedings, WFCS. - : IEEE conference proceedings. - 9798350319347
- Relaterad länk:
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https://urn.kb.se/re...
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https://doi.org/10.1...
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Abstract
Ämnesord
Stäng
- The increasing number of IoT devices in the network brings new challenges to the network carrying capacity of intelligent edge computing, and the complicated network services make the demand for network resources in industrial production scenarios or ordinary network users often exceed the carrying capacity of the edge computing network. To alleviate this problem, this paper proposes an intelligent edge computing architecture that introduces network service identification, extracts and analyses the data characteristics of network traffic, and designs appropriate algorithms to classify network traffic into six different service types. This enables real-time and computing-requiring tasks to be prioritised in the network. Using two machine learning algorithms, KNN and MLP, a model validation is carried out on the constructed dataset, and the results show the effectiveness of the method, with the correct rate of data validation reaching 85%, which is more than 5% higher than the correct rate of direct classification of the specified applications, and the accuracy can be as high as 97% in certain scenarios.
Ämnesord
- NATURVETENSKAP -- Data- och informationsvetenskap -- Datavetenskap (hsv//swe)
- NATURAL SCIENCES -- Computer and Information Sciences -- Computer Sciences (hsv//eng)
Nyckelord
- Explainable AI
- Intelligent edge computing
- Machine learning
- Network service perception
Publikations- och innehållstyp
- ref (ämneskategori)
- kon (ämneskategori)
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