Traffic Load Balancing Using Software Defined Networking (SDN) Controller as Virtualized Network Function

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dc.contributor.authorEjaz, S.
dc.contributor.authorIqbal, Z.
dc.contributor.authorAzmat Shah, Peer
dc.contributor.authorBukhari, B. H.
dc.contributor.authorAli, A.
dc.contributor.authorAadil, F.
dc.contributor.utdAuthorAzmat Shah, Peer
dc.date.accessioned2020-02-07T20:48:13Z
dc.date.available2020-02-07T20:48:13Z
dc.date.issued2019-04-04
dc.descriptionDue to copyright restrictions full text access from Treasures at UT Dallas is restricted to current UTD affiliates (use the provided Link to Article).
dc.description.abstractSDN and NFV are collaboratively recognized as the most promising bearing for flexible programmability of network control functions and protocols with dynamic usage of network resources. SDN provides the abstraction of network resources over well-defined APIs to achieve underlying topology-independent multiple tenant networks with required QoS and SLAs. NFV paradigm deploys network functions as software instances, namely, VNFs on commodity hardware using virtualization techniques. In this way, virtual IP functions, such as load balancing, routing, and forwarding or firewall, can operate as VNF in a cloud with a positive outcome in network performance. In this paper, we aimed to achieve traffic load balancing by using a virtual SDN (vSDN) controller as a VNF. With vSDN, when there is uneven and increased load, secondary vSDN controllers can be added to share this load. The need of secondary vSDN is determined and a copy vSDN with exactly the same configurations as original vSDN is created, which operates accurately and shares traffic load balancing tasks with an original vSDN controller. Both vSDN controllers are independently placed in the cloud with transparency assuring that every client in the network is familiar with the existence of the newly created secondary vSDN controller. We experimentally validated the load balancing in Fat-Tree topology using two vSDN controllers in a Mininet emulator. The results showed 50% improvement in average load, 41% improvement in average delay, and considerable improvements in terms of ping response, bandwidth utilization, and throughput of the system. © 2013 IEEE.
dc.description.departmentErik Jonsson School of Engineering and Computer Science
dc.identifier.bibliographicCitationEjaz, S., Z. Iqbal, P. Azmat Shah, B. H. Bukhari, et al. 2019. "Traffic Load Balancing Using Software Defined Networking (SDN) Controller as Virtualized Network Function." IEEE Access 7: 46646-46658, doi: 10.1109/ACCESS.2019.2909356
dc.identifier.issn2169-3536
dc.identifier.urihttp://dx.doi.org/10.1109/ACCESS.2019.2909356
dc.identifier.urihttps://hdl.handle.net/10735.1/7250
dc.identifier.volume7
dc.language.isoen
dc.publisherInstitute of Electrical and Electronics Engineers Inc.
dc.rights©2019 IEEE
dc.source.journalIEEE Access
dc.subjectCloud computing
dc.subjectFirewalls (Computer security)
dc.subjectComputer network protocols
dc.subjectResource allocation
dc.subjectSoftware-defined networking (Computer network technology)
dc.subjectTelecommunication--Traffic
dc.titleTraffic Load Balancing Using Software Defined Networking (SDN) Controller as Virtualized Network Function
dc.type.genrearticle

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