Reference : Dynamic Adaptation of Software-defined Networks for IoT Systems: A Search-based Approach

	Document type :	Scientific congresses, symposiums and conference proceedings : Paper published in a book
	Discipline(s) :	Engineering, computing & technology : Computer science
	Focus Areas :	Security, Reliability and Trust
	To cite this reference:	http://hdl.handle.net/10993/42722

Title :	Dynamic Adaptation of Software-defined Networks for IoT Systems: A Search-based Approach
Language :	English
Author, co-author :	Shin, Seung Yeob [University of Luxembourg > Interdisciplinary Centre for Security, Reliability and Trust (SNT) > >]
	Nejati, Shiva [University of Luxembourg > Interdisciplinary Centre for Security, Reliability and Trust (SNT) > >]
	Sabetzadeh, Mehrdad [University of Luxembourg > Interdisciplinary Centre for Security, Reliability and Trust (SNT) > >]
	Briand, Lionel [University of Luxembourg > Interdisciplinary Centre for Security, Reliability and Trust (SNT) > >]
	Arora, Chetan [Deakin University]
	Zimmer, Frank [SES Networks]
Publication date :	May-2020
Main document title :	Proceedings of the 15th International Symposium on Software Engineering for Adaptive and Self-Managing Systems (SEAMS'20)
Peer reviewed :	Yes
Audience :	International
ISBN :	978-1-4503-7962-5
Country :	NY
Event name :	International Symposium on Software Engineering for Adaptive and Self-Managing Systems
Event date :	from 25-05-2020 to 26-05-2020
Event place (city) :	Seoul
Event country :	South Korea
Keywords :	[en] Search-based Software Engineering ; Dynamic Adaptive Systems ; Internet of Things ; Software-defined Networks
Abstract :	[en] The concept of Internet of Things (IoT) has led to the development of many complex and critical systems such as smart emergency management systems. IoT-enabled applications typically depend on a communication network for transmitting large volumes of data in unpredictable and changing environments. These networks are prone to congestion when there is a burst in demand, e.g., as an emergency situation is unfolding, and therefore rely on configurable software-defined networks (SDN). In this paper, we propose a dynamic adaptive SDN configuration approach for IoT systems. The approach enables resolving congestion in real time while minimizing network utilization, data transmission delays and adaptation costs. Our approach builds on existing work in dynamic adaptive search-based software engineering (SBSE) to reconfigure an SDN while simultaneously ensuring multiple quality of service criteria. We evaluate our approach on an industrial national emergency management system, which is aimed at detecting disasters and emergencies, and facilitating recovery and rescue operations by providing first responders with a reliable communication infrastructure. Our results indicate that (1) our approach is able to efficiently and effectively adapt an SDN to dynamically resolve congestion, and (2) compared to two baseline data forwarding algorithms that are static and non-adaptive, our approach increases data transmission rate by a factor of at least 3 and decreases data loss by at least 70%.
Research centres :	Interdisciplinary Centre for Security, Reliability and Trust (SnT) > Software Verification and Validation Lab (SVV Lab)
Target :	Researchers ; Professionals ; Students ; General public ; Others
Permalink :	http://hdl.handle.net/10993/42722
DOI :	10.1145/3387939.3391603
Framework Programme / European Project :	H2020 ; 694277 - TUNE - Testing the Untestable: Model Testing of Complex Software-Intensive Systems
FnR project :	FnR ; FNR11270448 > Lionel Briand > MOSIS > Model-Based Simulation of Integrated Software Systems > 01/01/2017 > 31/12/2019 > 2016

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