A study on the adaptation of the firefly algorithm for the synchronization between multiple controllers in SDN environment

Kim, Green; Kim, Keecheon

doi:10.1109/icoin.2016.7427082

Cited by 3 publications

(2 citation statements)

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“…[1][2][3] Unlike traditional networks, SDN decouples control and data planes (see Figure 1) and provides a more structured software development environment. This is achieved by using a set of centralized controllers [5][6][7][8][9][10] and thus brings about many advantages such as high flexibility, programmability, vendor independence, and so on. 4 Concretely, SDN allows applications to use abstracted network resources in a programmable manner without concerning underlying network infrastructure.…”

Section: Introductionmentioning

confidence: 99%

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Scalable SDN architecture with distributed placement of controllers for WAN

Zhao

2017

Concurrency and Computation

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By separating control plane from data plane, software-defined network (SDN) adopts centralized controllers to manage data flows in the network. Nevertheless, the rapid growth of network service traffic requires a large number of controllers, reducing network performance due to the scalability constraint. Therefore, we consider distributed placement of controllers in wide-area network to construct a scalable SDN architecture, by taking service traffics, traffic propagation delay, and load balancing into account. Specifically, we first partition the network into several small sections (named SDN domains) and then place the least amount of controllers to a proper node in each domain. The architecture provides a control channel to deliver requested messages for each SDN domain, so it reduces the link delay (which is assumed to be proportional to the physical length of the link) between switches and SDN controllers. Unfortunately, it also introduces extra latency among controller sets at different SDN domain. Accordingly, we formulate an integer linear program to optimize network cost and performance by considering all those conflicting factors and propose an efficient heuristic algorithm called distributed SDN placement to solve the problem. Simulation results confirm that our proposed heuristic distributed SDN placement can achieve suboptimal solutions as compared with the integer linear program results. KEYWORDScontroller sets (CSs), integer linear program (ILP), placement, scalability, software-defined network (SDN)

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Section: Introductionmentioning

confidence: 99%

“…Concretely, SDN allows applications to use abstracted network resources in a programmable manner without concerning underlying network infrastructure. This is achieved by using a set of centralized controllers and thus brings about many advantages such as high flexibility, programmability, vendor independence, and so on.…”

mentioning

confidence: 99%