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Silva, J., Moura, J. & Souto, N. (2024). SDN-based network resource management. In Sandeep Kautish, Prasenjit Chatterjee, Dragan Pamucar, N. Pradeep, Deepmala Singh (Ed.), Computational intelligence for modern business systems: Emerging applications and strategies. (pp. 137-156).: Springer.

J. C. Silva et al.,  "SDN-based network resource management", in Computational intelligence for modern business systems: Emerging applications and strategies, Sandeep Kautish, Prasenjit Chatterjee, Dragan Pamucar, N. Pradeep, Deepmala Singh, Ed., Springer, 2024, pp. 137-156

@incollection{silva2024_1716136337815,
	author = "Silva, J. and Moura, J. and Souto, N.",
	title = "SDN-based network resource management",
	chapter = "",
	booktitle = "Computational intelligence for modern business systems: Emerging applications and strategies",
	year = "2024",
	volume = "",
	series = "Disruptive Technologies and Digital Transformations for Society 5.0",
	edition = "",
	pages = "137-137",
	publisher = "Springer",
	address = "",
	url = "https://link.springer.com/book/10.1007/978-981-99-5354-7"
}

TY  - CHAP
TI  - SDN-based network resource management
T2  - Computational intelligence for modern business systems: Emerging applications and strategies
AU  - Silva, J.
AU  - Moura, J.
AU  - Souto, N.
PY  - 2024
SP  - 137-156
DO  - 10.1007/978-981-99-5354-7_8
UR  - https://link.springer.com/book/10.1007/978-981-99-5354-7
AB  - In recent years there has been a growing demand for network resources.
However, fixed contracts between users and providers tend to result in network use
inefficiencies and high costs. To promote the best accommodation for high network
demand and usage, a setup where every user has the most amount of network
resources at his disposal is paramount—this way users minimize the risk of not having
sufficient resources to meet their service needs, and providers maximize the usage
of their networks. In this chapter, we consider a setup based on Software Defined
Networking (SDN), where connections between users’ devices and providers’ nodes
are defined according to resource needs and pricing. The adoption of an SDN-based
approach is detrimental of other more distributed control alternatives is since the
scenario under investigation is very specific and dynamic, which is more efficiently
managed in a logical centralized way than in a decentralized way. In this direction,
an auction SDN-based broker is proposed, so that both users and providers get the
best deal for every resource-allocation procedure, according to all players’ needs
and network restrictions. We present and discuss evaluation results taken from our
auction business model. Our results suggest that the best bidding strategy depends
on several aspects, namely: (i) the competitor’s bidding strategy; (ii) the operating
cost of each participant; or (iii) the available resources of all participants and the
broker’s requisites.
ER  -