Title: RAMD approach to performance estimation of fog-to-fog collaboration using software-defined networking

Authors: Ibrahim Yusuf; Muhammad Kabeer

Addresses: Department of Computer Science, Bayero University, Kano, Nigeria ' Department of Computer Science, Federal University Dutsinma, Katsina State, Nigeria

Abstract: The software-defined networking (SDN) is subject to a variety of adversarial assaults due to its logically centralised design. These assaults have the potential to damage the managed network's performance, or perhaps bring it down in the worst-case scenario. As a result, SDN performance must be examined and estimated in order to determine its dependability, strength, and efficacy. This study aimed to increase SDN dependability, reliability, maintainability, availability, and metrics like MTBF and MTTF by boosting dependability, reliability, maintainability, and availability. The Markovian birth-death process is used to construct the system regulating the differential difference equation from the state transition diagram for modelling and analysis. The rates of repair and failure of each subsystem are exponentially distributed and statistically independent. For several subsystems of the system, the findings for dependability, reliability, maintainability, and availability, all of which are crucial to system performance, have been acquired and shown in figures and tables. The SDN's performance was evaluated using the numerical data gathered. Furthermore, the results of this study reveal that the highest system performance and dependability may be achieved when the overall system failure rate is low.

Keywords: reliability; availability; collaboration; software-defined network.

DOI: 10.1504/IJMOR.2024.136871

International Journal of Mathematics in Operational Research, 2024 Vol.27 No.1, pp.35 - 62

Received: 30 Oct 2022
Accepted: 06 Nov 2022
Published online: 23 Feb 2024 *