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Software-defined networking approaches for link failure recovery: A surveyoa mark
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Publication Year
2020-05-01
Publisher
MDPI
Citation
Sustainability (Switzerland), Vol.12
Keyword
Fault-toleranceLink failure recoveryResilienceRestorationSoftware-defined networking
All Science Classification Codes (ASJC)
Computer Science (miscellaneous)Geography, Planning and DevelopmentRenewable Energy, Sustainability and the EnvironmentEnvironmental Science (miscellaneous)Energy Engineering and Power TechnologyHardware and ArchitectureComputer Networks and CommunicationsManagement, Monitoring, Policy and Law
Abstract
Deployment of new optimized routing rules on routers are challenging, owing to the tight coupling of the data and control planes and a lack of global topological information. Due to the distributed nature of the traditional classical internet protocol networks, the routing rules and policies are disseminated in a decentralized manner, which causes looping issues during link failure. Software-defined networking (SDN) provides programmability to the network from a central point. Consequently, the nodes or data plane devices in SDN only forward packets and the complexity of the control plane is handed over to the controller. Therefore, the controller installs the rules and policies from a central location. Due to the central control, link failure identification and restoration becomes pliable because the controller has information about the global network topology. Similarly, new optimized rules for link recovery can be deployed from the central point. Herein, we review several schemes for link failure recovery by leveraging SDN while delineating the cons of traditional networking. We also investigate the open research questions posed due to the SDN architecture. This paper also analyzes the proactive and reactive schemes in SDN using the OpenDayLight controller and Mininet, with the simulation of application scenarios from the tactical and data center networks.
ISSN
2071-1050
Language
eng
URI
https://dspace.ajou.ac.kr/dev/handle/2018.oak/31330
DOI
https://doi.org/10.3390/su12104255
Fulltext

Type
Article
Funding
Funding: This research was supported by C2 integrating and interfacing technologies laboratory of Agency for Defense Development (UD180013ED).
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ALI JEHADJEHAD, ALI
Department of Software and Computer Engineering
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