Open AccessFSSLA: A Fuzzy-based scheme for slice service level agreement in 5G wireless networks and its performance evaluation
Author(s) -
Phudit Ampririt,
Ermioni Qafzezi,
Kevin Bylykbashi,
Makoto Ikeda,
Keita Matsuo,
Leonard Barolli
Publication year - 2022
Publication title -
journal of high speed networks
Language(s) - English
Resource type - Journals
SCImago Journal Rank - 0.136
H-Index - 21
eISSN - 1875-8940
pISSN - 0926-6801
DOI - 10.3233/jhs-220678
Subject(s) - service level agreement , computer science , latency (audio) , reliability (semiconductor) , fuzzy logic , wireless , wireless network , quality of service , scheme (mathematics) , slicing , computer network , operating system , telecommunications , mathematics , physics , artificial intelligence , power (physics) , mathematical analysis , quantum mechanics , world wide web
The Software-Defined Network (SDN) with Network Slicing will be a good approach for admission control in the Fifth Generation (5G) wireless network, which is planned to be adaptable to meet user requirements. The system’s resources are limited, and the number of devices is growing much faster than it can handle. So, the overloading problem will be a very critical problem. To deal with these problems, this paper presents a Fuzzy-based Scheme for Service Level Agreement (SLA) evaluation (FSSLA). We compare two models: FSSLA1 and FSSLA2. The FSSLA1 considers three input parameters: Reliability (Re), Availability (Av), Latency (La) and the output parameter is SLA. In FSSLA2, we consider Traffic Load (Tl) as a new parameter. From simulation results, we conclude that the considered parameters have different effects on the SLA. When Re and Av are increasing, the SLA parameter is increased but when La and Tl are increasing, the SLA parameter is decreased. When the Tl value is changed from 20% to 80%, the SLA is decreased by 16.62% when Re 10%, Av 90% and the La value is 1 ms. When the Re is increased from 10% to 90% and 50% to 90% and the Tl value is 50%, the Av is 50% and the La is 1 ms, the SLA is increased by 22.76% and 11.38%, respectively.