Abstract
In the realm of software-defined networking (SDN), ensuring robust maintenance operations and the consistent performance of switch operations, especially during maintenance and upgrades, is of paramount importance. Traditional SDN methods, both reactive and proactive, face challenges like extended convergence times, inefficient use of Ternary Content-Addressable Memory (TCAM) space, and unpredictable maintenance time. To tackle these issues and enhance maintenance operations, this paper introduces the Preventive Maintenance Routing Framework (PMRF) – a novel approach designed for uninterrupted upgrades in SDN settings. Our framework focuses on selecting reliable backup paths and timely isolation of the maintenance switch except critical switch, framed as an NP-hard mixed-integer linear programming problem. To address this complexity, we present a multi-objective heuristic algorithm that efficiently determines the best path for upcoming affected flows. Testing shows that, in varied network conditions, PMRF markedly reduced packet drops, potentially enhancing SDN operation efficiency, minimizing end-to-end delays, and maintaining failure recovery times below 50 ms and efficiently manage TCAM resources. In summary, PMRF offers a robust solution for optimizing network reliability and efficiency during maintenance operations and upgrades in core networks.
| Original language | English |
|---|---|
| Article number | 101809 |
| Journal | Journal of King Saud University - Computer and Information Sciences |
| Volume | 35 |
| Issue number | 10 |
| DOIs | |
| State | Published - Dec 2023 |
Bibliographical note
Publisher Copyright:© 2023 The Author(s)
Keywords
- Artificial Intelligence (AI)
- Faulty switch handling
- Network management
- Network reliability and availability
- Operation and maintenance switch failure
- Preventive maintenance
- SDN
- Time base routing
- Traditional networking
ASJC Scopus subject areas
- General Computer Science