Title: Elastic demand network slicing based on fuzzy multi-criteria

Authors: Matheus M. Silveira; Maria C.M.M. Ferreira; Rafael L. Gomes

Addresses: Center of Science and Technology, State University of Ceará (UECE), Av. Silas Munguba 1700, 60714903, Fortaleza, CE, Brazil ' Center of Science and Technology, State University of Ceará (UECE), Av. Silas Munguba 1700, 60714903, Fortaleza, CE, Brazil ' Center of Science and Technology, State University of Ceará (UECE), Av. Silas Munguba 1700, 60714903, Fortaleza, CE, Brazil

Abstract: The internet serves as the primary means of communication and supports numerous essential services. Nevertheless, it faces certain limitations that directly impact the quality of service (QoS) and quality of experience (QoE) for users. To address this, internet service providers (ISPs) are implementing innovative technologies and network management strategies, including network slicing. This approach involves dividing network resources among clients and services, making the allocation algorithm for these network slices critical, especially in scenarios where resource demands fluctuate throughout the day. In this scenario, this article focuses on introducing the fuzzy multi-criteria (FUMU) algorithm, which aims to establish network slicing using various network metrics while being adjustable to the network administrator's specifications. The outcomes of the conducted experiments indicate that FUMU outperforms existing methods by reaching a superior balance between utilising provider resources and meeting customers' QoS requirements.

Keywords: edge network; access network; network management; multi-criteria.

DOI: 10.1504/IJCNDS.2024.140681

International Journal of Communication Networks and Distributed Systems, 2024 Vol.30 No.5, pp.639 - 655

Received: 21 Jul 2023
Accepted: 04 Oct 2023
Published online: 30 Aug 2024 *

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