MACCA: A SDN Based Collaborative Classification Algorithm for QoS Guaranteed Transmission on IoT

Weifeng Sun, Zun Wang, Guanghao Zhang, Boxiang Dong

Research output: Chapter in Book/Report/Conference proceedingConference contribution

Abstract

Software defined network (SDN) can effectively balance link loads and guarantee QoS for different application categories of data streams on Internet of Things (IoT). To achieve high accuracy and low time consumption for stream classification for SDN, the collaborative methods are considered. By analyzing the data sets of network flows on CyberGIS and IoT, a Misclassification-Aware Collaborative Classification Algorithm named MACCA is proposed. MACCA collaborates the misclassification results judgment module and the decision module to calculate the final classification results, thus it can avoid the reduction of overall accuracy caused by voting to determine the results. The evaluation results show that the MACCA can classify the network data streams efficiently with an average accuracy of 99.66% and a lower time consumption compared to other classification algorithms, which can be implemented on SDN-based networks.

Original languageEnglish
Title of host publicationAdvanced Data Mining and Applications - 15th International Conference, ADMA 2019, Proceedings
EditorsJianxin Li, Sen Wang, Shaowen Qin, Xue Li, Shuliang Wang
PublisherSpringer
Pages815-827
Number of pages13
ISBN (Print)9783030352301
DOIs
StatePublished - 1 Jan 2019
Event15th International Conference on Advanced Data Mining and Applications, ADMA 2019 - Dalian, China
Duration: 21 Nov 201923 Nov 2019

Publication series

NameLecture Notes in Computer Science (including subseries Lecture Notes in Artificial Intelligence and Lecture Notes in Bioinformatics)
Volume11888 LNAI
ISSN (Print)0302-9743
ISSN (Electronic)1611-3349

Conference

Conference15th International Conference on Advanced Data Mining and Applications, ADMA 2019
CountryChina
CityDalian
Period21/11/1923/11/19

Fingerprint

Internet of Things
Classification Algorithm
Quality of service
Software
Misclassification
Data Streams
Module
Network Flow
Voting
High Accuracy
Classify
Internet of things
Calculate
Evaluation

Keywords

  • Collaborative classification
  • CyberGIS
  • IoT
  • Misclassification judgment
  • SDN

Cite this

Sun, W., Wang, Z., Zhang, G., & Dong, B. (2019). MACCA: A SDN Based Collaborative Classification Algorithm for QoS Guaranteed Transmission on IoT. In J. Li, S. Wang, S. Qin, X. Li, & S. Wang (Eds.), Advanced Data Mining and Applications - 15th International Conference, ADMA 2019, Proceedings (pp. 815-827). (Lecture Notes in Computer Science (including subseries Lecture Notes in Artificial Intelligence and Lecture Notes in Bioinformatics); Vol. 11888 LNAI). Springer. https://doi.org/10.1007/978-3-030-35231-8_60
Sun, Weifeng ; Wang, Zun ; Zhang, Guanghao ; Dong, Boxiang. / MACCA : A SDN Based Collaborative Classification Algorithm for QoS Guaranteed Transmission on IoT. Advanced Data Mining and Applications - 15th International Conference, ADMA 2019, Proceedings. editor / Jianxin Li ; Sen Wang ; Shaowen Qin ; Xue Li ; Shuliang Wang. Springer, 2019. pp. 815-827 (Lecture Notes in Computer Science (including subseries Lecture Notes in Artificial Intelligence and Lecture Notes in Bioinformatics)).
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abstract = "Software defined network (SDN) can effectively balance link loads and guarantee QoS for different application categories of data streams on Internet of Things (IoT). To achieve high accuracy and low time consumption for stream classification for SDN, the collaborative methods are considered. By analyzing the data sets of network flows on CyberGIS and IoT, a Misclassification-Aware Collaborative Classification Algorithm named MACCA is proposed. MACCA collaborates the misclassification results judgment module and the decision module to calculate the final classification results, thus it can avoid the reduction of overall accuracy caused by voting to determine the results. The evaluation results show that the MACCA can classify the network data streams efficiently with an average accuracy of 99.66{\%} and a lower time consumption compared to other classification algorithms, which can be implemented on SDN-based networks.",
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Sun, W, Wang, Z, Zhang, G & Dong, B 2019, MACCA: A SDN Based Collaborative Classification Algorithm for QoS Guaranteed Transmission on IoT. in J Li, S Wang, S Qin, X Li & S Wang (eds), Advanced Data Mining and Applications - 15th International Conference, ADMA 2019, Proceedings. Lecture Notes in Computer Science (including subseries Lecture Notes in Artificial Intelligence and Lecture Notes in Bioinformatics), vol. 11888 LNAI, Springer, pp. 815-827, 15th International Conference on Advanced Data Mining and Applications, ADMA 2019, Dalian, China, 21/11/19. https://doi.org/10.1007/978-3-030-35231-8_60

MACCA : A SDN Based Collaborative Classification Algorithm for QoS Guaranteed Transmission on IoT. / Sun, Weifeng; Wang, Zun; Zhang, Guanghao; Dong, Boxiang.

Advanced Data Mining and Applications - 15th International Conference, ADMA 2019, Proceedings. ed. / Jianxin Li; Sen Wang; Shaowen Qin; Xue Li; Shuliang Wang. Springer, 2019. p. 815-827 (Lecture Notes in Computer Science (including subseries Lecture Notes in Artificial Intelligence and Lecture Notes in Bioinformatics); Vol. 11888 LNAI).

Research output: Chapter in Book/Report/Conference proceedingConference contribution

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AB - Software defined network (SDN) can effectively balance link loads and guarantee QoS for different application categories of data streams on Internet of Things (IoT). To achieve high accuracy and low time consumption for stream classification for SDN, the collaborative methods are considered. By analyzing the data sets of network flows on CyberGIS and IoT, a Misclassification-Aware Collaborative Classification Algorithm named MACCA is proposed. MACCA collaborates the misclassification results judgment module and the decision module to calculate the final classification results, thus it can avoid the reduction of overall accuracy caused by voting to determine the results. The evaluation results show that the MACCA can classify the network data streams efficiently with an average accuracy of 99.66% and a lower time consumption compared to other classification algorithms, which can be implemented on SDN-based networks.

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Sun W, Wang Z, Zhang G, Dong B. MACCA: A SDN Based Collaborative Classification Algorithm for QoS Guaranteed Transmission on IoT. In Li J, Wang S, Qin S, Li X, Wang S, editors, Advanced Data Mining and Applications - 15th International Conference, ADMA 2019, Proceedings. Springer. 2019. p. 815-827. (Lecture Notes in Computer Science (including subseries Lecture Notes in Artificial Intelligence and Lecture Notes in Bioinformatics)). https://doi.org/10.1007/978-3-030-35231-8_60