Ensemble of semi-supervised models for IoT resource scheduling and sharing

Tony Jan

doi:10.1109/DASC/PiCom/DataCom/CyberSciTec.2018.00073

Ensemble of semi-supervised models for IoT resource scheduling and sharing

Research output: Chapter in Book/Report/Conference proceeding › Conference contribution › peer-review

Abstract

This paper proposes an innovative distributed self-organizing map for IoT resource scheduling and sharing. The proposed model serves each type of QoS requirement using a local self-organizing map (SOM), and then combine SOMs with adaboosting for global resource optimization and complexity control. The proposed model is applied to heterogeneous, massive, and dynamic IoT data environment and shows comparable and useful experimental outcomes.

Original language	English
Title of host publication	Proceedings - IEEE 16th International Conference on Dependable, Autonomic and Secure Computing, IEEE 16th International Conference on Pervasive Intelligence and Computing, IEEE 4th International Conference on Big Data Intelligence and Computing and IEEE 3rd Cyber Science and Technology Congress, DASC-PICom-DataCom-CyberSciTec 2018
Publisher	Institute of Electrical and Electronics Engineers Inc.
Pages	376-378
Number of pages	3
ISBN (Electronic)	9781538675182
DOIs	https://doi.org/10.1109/DASC/PiCom/DataCom/CyberSciTec.2018.00073
Publication status	Published - 26 Oct 2018
Externally published	Yes
Event	16th IEEE International Conference on Dependable, Autonomic and Secure Computing, IEEE 16th International Conference on Pervasive Intelligence and Computing, IEEE 4th International Conference on Big Data Intelligence and Computing and IEEE 3rd Cyber Science and Technology Congress, DASC-PICom-DataCom-CyberSciTec 2018 - Athens, Greece Duration: 12 Aug 2018 → 15 Aug 2018

Publication series

Name	Proceedings - IEEE 16th International Conference on Dependable, Autonomic and Secure Computing, IEEE 16th International Conference on Pervasive Intelligence and Computing, IEEE 4th International Conference on Big Data Intelligence and Computing and IEEE 3rd Cyber Science and Technology Congress, DASC-PICom-DataCom-CyberSciTec 2018

Conference

Conference	16th IEEE International Conference on Dependable, Autonomic and Secure Computing, IEEE 16th International Conference on Pervasive Intelligence and Computing, IEEE 4th International Conference on Big Data Intelligence and Computing and IEEE 3rd Cyber Science and Technology Congress, DASC-PICom-DataCom-CyberSciTec 2018
Country/Territory	Greece
City	Athens
Period	12/08/18 → 15/08/18

Keywords

Distributed unsuper-vised learning
IoT QoS
Machine Learning

Access to Document

10.1109/DASC/PiCom/DataCom/CyberSciTec.2018.00073

Cite this

Jan, T. (2018). Ensemble of semi-supervised models for IoT resource scheduling and sharing. In Proceedings - IEEE 16th International Conference on Dependable, Autonomic and Secure Computing, IEEE 16th International Conference on Pervasive Intelligence and Computing, IEEE 4th International Conference on Big Data Intelligence and Computing and IEEE 3rd Cyber Science and Technology Congress, DASC-PICom-DataCom-CyberSciTec 2018 (pp. 376-378). Article 8511916 (Proceedings - IEEE 16th International Conference on Dependable, Autonomic and Secure Computing, IEEE 16th International Conference on Pervasive Intelligence and Computing, IEEE 4th International Conference on Big Data Intelligence and Computing and IEEE 3rd Cyber Science and Technology Congress, DASC-PICom-DataCom-CyberSciTec 2018). Institute of Electrical and Electronics Engineers Inc.. https://doi.org/10.1109/DASC/PiCom/DataCom/CyberSciTec.2018.00073

Jan, Tony. / Ensemble of semi-supervised models for IoT resource scheduling and sharing. Proceedings - IEEE 16th International Conference on Dependable, Autonomic and Secure Computing, IEEE 16th International Conference on Pervasive Intelligence and Computing, IEEE 4th International Conference on Big Data Intelligence and Computing and IEEE 3rd Cyber Science and Technology Congress, DASC-PICom-DataCom-CyberSciTec 2018. Institute of Electrical and Electronics Engineers Inc., 2018. pp. 376-378 (Proceedings - IEEE 16th International Conference on Dependable, Autonomic and Secure Computing, IEEE 16th International Conference on Pervasive Intelligence and Computing, IEEE 4th International Conference on Big Data Intelligence and Computing and IEEE 3rd Cyber Science and Technology Congress, DASC-PICom-DataCom-CyberSciTec 2018).

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title = "Ensemble of semi-supervised models for IoT resource scheduling and sharing",

abstract = "This paper proposes an innovative distributed self-organizing map for IoT resource scheduling and sharing. The proposed model serves each type of QoS requirement using a local self-organizing map (SOM), and then combine SOMs with adaboosting for global resource optimization and complexity control. The proposed model is applied to heterogeneous, massive, and dynamic IoT data environment and shows comparable and useful experimental outcomes.",

keywords = "Distributed unsuper-vised learning, IoT QoS, Machine Learning",

author = "Tony Jan",

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publisher = "Institute of Electrical and Electronics Engineers Inc.",

pages = "376--378",

booktitle = "Proceedings - IEEE 16th International Conference on Dependable, Autonomic and Secure Computing, IEEE 16th International Conference on Pervasive Intelligence and Computing, IEEE 4th International Conference on Big Data Intelligence and Computing and IEEE 3rd Cyber Science and Technology Congress, DASC-PICom-DataCom-CyberSciTec 2018",

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Jan, T 2018, Ensemble of semi-supervised models for IoT resource scheduling and sharing. in Proceedings - IEEE 16th International Conference on Dependable, Autonomic and Secure Computing, IEEE 16th International Conference on Pervasive Intelligence and Computing, IEEE 4th International Conference on Big Data Intelligence and Computing and IEEE 3rd Cyber Science and Technology Congress, DASC-PICom-DataCom-CyberSciTec 2018., 8511916, Proceedings - IEEE 16th International Conference on Dependable, Autonomic and Secure Computing, IEEE 16th International Conference on Pervasive Intelligence and Computing, IEEE 4th International Conference on Big Data Intelligence and Computing and IEEE 3rd Cyber Science and Technology Congress, DASC-PICom-DataCom-CyberSciTec 2018, Institute of Electrical and Electronics Engineers Inc., pp. 376-378, 16th IEEE International Conference on Dependable, Autonomic and Secure Computing, IEEE 16th International Conference on Pervasive Intelligence and Computing, IEEE 4th International Conference on Big Data Intelligence and Computing and IEEE 3rd Cyber Science and Technology Congress, DASC-PICom-DataCom-CyberSciTec 2018, Athens, Greece, 12/08/18. https://doi.org/10.1109/DASC/PiCom/DataCom/CyberSciTec.2018.00073

Ensemble of semi-supervised models for IoT resource scheduling and sharing. / Jan, Tony.
Proceedings - IEEE 16th International Conference on Dependable, Autonomic and Secure Computing, IEEE 16th International Conference on Pervasive Intelligence and Computing, IEEE 4th International Conference on Big Data Intelligence and Computing and IEEE 3rd Cyber Science and Technology Congress, DASC-PICom-DataCom-CyberSciTec 2018. Institute of Electrical and Electronics Engineers Inc., 2018. p. 376-378 8511916 (Proceedings - IEEE 16th International Conference on Dependable, Autonomic and Secure Computing, IEEE 16th International Conference on Pervasive Intelligence and Computing, IEEE 4th International Conference on Big Data Intelligence and Computing and IEEE 3rd Cyber Science and Technology Congress, DASC-PICom-DataCom-CyberSciTec 2018).

Research output: Chapter in Book/Report/Conference proceeding › Conference contribution › peer-review

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T3 - Proceedings - IEEE 16th International Conference on Dependable, Autonomic and Secure Computing, IEEE 16th International Conference on Pervasive Intelligence and Computing, IEEE 4th International Conference on Big Data Intelligence and Computing and IEEE 3rd Cyber Science and Technology Congress, DASC-PICom-DataCom-CyberSciTec 2018

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BT - Proceedings - IEEE 16th International Conference on Dependable, Autonomic and Secure Computing, IEEE 16th International Conference on Pervasive Intelligence and Computing, IEEE 4th International Conference on Big Data Intelligence and Computing and IEEE 3rd Cyber Science and Technology Congress, DASC-PICom-DataCom-CyberSciTec 2018

PB - Institute of Electrical and Electronics Engineers Inc.

T2 - 16th IEEE International Conference on Dependable, Autonomic and Secure Computing, IEEE 16th International Conference on Pervasive Intelligence and Computing, IEEE 4th International Conference on Big Data Intelligence and Computing and IEEE 3rd Cyber Science and Technology Congress, DASC-PICom-DataCom-CyberSciTec 2018

Y2 - 12 August 2018 through 15 August 2018

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Jan T. Ensemble of semi-supervised models for IoT resource scheduling and sharing. In Proceedings - IEEE 16th International Conference on Dependable, Autonomic and Secure Computing, IEEE 16th International Conference on Pervasive Intelligence and Computing, IEEE 4th International Conference on Big Data Intelligence and Computing and IEEE 3rd Cyber Science and Technology Congress, DASC-PICom-DataCom-CyberSciTec 2018. Institute of Electrical and Electronics Engineers Inc. 2018. p. 376-378. 8511916. (Proceedings - IEEE 16th International Conference on Dependable, Autonomic and Secure Computing, IEEE 16th International Conference on Pervasive Intelligence and Computing, IEEE 4th International Conference on Big Data Intelligence and Computing and IEEE 3rd Cyber Science and Technology Congress, DASC-PICom-DataCom-CyberSciTec 2018). doi: 10.1109/DASC/PiCom/DataCom/CyberSciTec.2018.00073

Ensemble of semi-supervised models for IoT resource scheduling and sharing

Abstract

Publication series

Conference

Keywords

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