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Control layer resource management in SDN-IoT networks using multi-objective constraint

Sood, Keshav, Yu, Shui, Xiang, Yong and Peng, Sancheng 2016, Control layer resource management in SDN-IoT networks using multi-objective constraint, in ICIEA 2016: Proceedings of the IEEE 11th Conference on Industrial Electronics and Applications, IEEE, Piscataway, N.J., pp. 71-76, doi: 10.1109/ICIEA.2016.7603554.

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Title Control layer resource management in SDN-IoT networks using multi-objective constraint
Author(s) Sood, Keshav
Yu, ShuiORCID iD for Yu, Shui orcid.org/0000-0003-4485-6743
Xiang, YongORCID iD for Xiang, Yong orcid.org/0000-0003-3545-7863
Peng, Sancheng
Conference name IEEE Industrial Electronics and Applicatios. Conference (11th : 2016 : Hefei, China)
Conference location Hefei, China
Conference dates 5-7 Jun. 2016
Title of proceedings ICIEA 2016: Proceedings of the IEEE 11th Conference on Industrial Electronics and Applications
Publication date 2016
Start page 71
End page 76
Total pages 6
Publisher IEEE
Place of publication Piscataway, N.J.
Keyword(s) internet of things
resource management
soft-ware defined networks
traffic engineering
Science & Technology
Technology
Engineering, Electrical & Electronic
Engineering
Software Defined Networks
INTERNET
THINGS
Summary Software Defined Networking (SDN) and Internet of Things (IoT) integration has thrown many critical challenges. Specifically, in heterogeneous SDN-IoT ecosystem, optimized resources utilization and effective management at the control layer is very difficult. This mainly affects the application specific Quality of Service (QoS) and energy consumption of the IoT network. Motivated from this, we propose a new Resource Management (RM) method at the control layer, in distributed SDN-IoT networks. This paper starts with reasons that why at control layer RM is more complex in the SDN-IoT ecosystem. After-that, we highlight motivated examples that necessitate to investigate new RM methods in SDN-IoT context. Further, we propose a novel method to compute controller performance. Theoretical analysis is conducted to prove that the proposed method is better than the existing methods.
ISBN 9781509026050
ISSN 2158-2297
Language eng
DOI 10.1109/ICIEA.2016.7603554
Field of Research 080309 Software Engineering
Socio Economic Objective 970108 Expanding Knowledge in the Information and Computing Sciences
HERDC Research category E1 Full written paper - refereed
ERA Research output type E Conference publication
Copyright notice ©2016, IEEE
Persistent URL http://hdl.handle.net/10536/DRO/DU:30090132

Document type: Conference Paper
Collection: School of Information Technology
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Created: Mon, 19 Dec 2016, 15:46:44 EST

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