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Reliable failure restoration with Bayesian Congestion Aware for Software Defined Networks

Computer Systems Science & Engineering 2023年第9期46卷 3729-3748页

作者： Babangida Isyaku Kamalrulnizam Bin Abu Bakar Wamda Nagmeldin Abdelzahir Abdelmaboud Faisal Saeed Fuad A.Ghaleb Faculty of Computing Universiti Teknologi MalaysiaJohor Bahru81310Malaysia Faculty of Computing and Information Technology Sule Lamido UniversityKafin HausaP.M.B.048Nigeria College of Computer Engineering and Sciences PrinceSattam bin Abdulaziz UniversityAl-Kharj11942Saudi Arabia Department of Information Systems King Khalid UniversityMuhayel Aseer61913Saudi Arabia Taibah University P.O.Box 344Medina41411Saudi Arabia School of Computing and Digital Technology Birmingham City UniversityBirminghamB47XGUK

SoftwareDefined Networks(SDN)introduced better network management by decoupling control and data ***,communication reliability is the desired property in computer *** frequency of communication link failure degrades network performance,and service disruptions are likely to *** network applications,such as delaysensitive applications,suffer packet loss with higher Round Trip Time(RTT).Several failure recovery schemes have been proposed to address link failure recovery issues in ***,these schemes have various weaknesses,which may not always guarantee service *** paths differ in their roles;some paths are critical because of the higher frequency *** paths frequently share links between primary and *** the affected flows after failure occurrences without investigating the path roles can lead to post-recovery congestion with packet loss and system ***,there is a lack of studies to incorporate path criticality and residual path capacity to reroute the affected flows in case of link *** paper proposed Reliable failure restoration with Congestion Aware for SDN to select the reliable backup path that decreases packet loss and RTT,increasing network throughput while minimizing post-recovery *** affected flows are redirected through a path with minimal risk of failure,while Bayesian probability is used to predict post-recovery *** the former and latter path with a minimal score is *** simulation results improved throughput by(45%),reduced packet losses(87%),and lowered RTT(89%)compared to benchmarking works.

关键词： SDN OpenFlow failure restoration critical path Bayesian probability

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