Enhanced Controller Fault Tolerant (ECFT) model for Software Defined Networking

Aly, Wael Hosny Fouad; Al-anazi, Abeer Mohammad Ali

doi:10.1109/sds.2018.8370446

Cited by 18 publications

(12 citation statements)

References 5 publications

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“…roughput and response time metrics are used to measure performance. GCALB is compared with two reference algorithms: (1) HyperFlow [13] and (2) Enhanced Controller Fault Tolerant (ECFT) [14]. Results are very promising as the performance of GCALB increased by 15% and 12% when compared to HyperFlow and by 13% and 10% when compared to ECFT in terms of throughput and response time.…”

Section: Discussionmentioning

confidence: 99%

“…e work gave promising results, but the feedback control theoretic techniques have put extra burden on the controllers. e ECFT [14] introduced load balancing at controller's failure, and the proposed ECFT model focuses on balancing the load among other neighboring controllers. e proposed ECFT uses only delay among switches and their associated controllers in order to compute the load for each neighbor controller and sort the slave controllers accordingly.…”

Section: Fault Tolerance In Ecft Referencementioning

confidence: 99%

“…In the forwarding layer, the switches are connected to the nearest controller. e second reference model has the Enhanced Controller Fault Tolerant (ECFT) [14]. ECFT uses only delays among switches along with their associated controllers in order to compute the load for each neighbor controller.…”

Section: Introductionmentioning

confidence: 99%

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Generic Controller Adaptive Load Balancing (GCALB) for SDN Networks

Aly

2019

Journal of Computer Networks and Communications

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Fault tolerance is an important aspect of network resilience. Fault-tolerance mechanisms are required to ensure high availability and high reliability in different environments. e beginning of software-defined networking (SDN) has both presented new challenges and opened a new era to develop new strategies, standards, and architectures to support fault tolerance. In this paper, a study of fault tolerance is performed for two architectures: (1) a single master with multiple slave controllers and (2) multiple slave controllers. e proposed model is called a Generic Controller Adaptive Load Balancing (GCALB) model for SDNs. GCALB adapts the load among slave controllers based on a GCALB algorithm. Mininet simulation tool is utilized for the experimentation phase. Controllers are implemented using floodlights. Experiment results were conducted using GCALB when master controller is taking the responsibility of distributing switches among four and five slave controllers as a case study. roughput and response time metrics are used to measure performance. GCALB is compared with two reference algorithms: (1) HyperFlow (Kreutz et al., 2012), and (2) Enhanced Controller Fault Tolerant (ECFT) (Aly and Al-anazi, 2018). Results are promising as the performance of GCALB increased by 15% and 12% when compared to HyperFlow and by 13% and 10% when compared to ECFT in terms of throughput and response time.

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Section: Discussionmentioning

confidence: 99%

Section: Fault Tolerance In Ecft Referencementioning

confidence: 99%

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Generic Controller Adaptive Load Balancing (GCALB) for SDN Networks

Aly

2019

Journal of Computer Networks and Communications

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“…Moreover, a centralized node collects load information intermittently and it talks a lot of messages frequently with other controllers, which will prompt to performance reduction of the whole system. Aly et al [18] mentioned the selection of destination backup controller based on a distance between switches and target controller, editor@iaeme.com current load and percentage of packet loss. Distance between a switch and backup controller influence the packet response time.…”

Section: Switch Migration Algorithmmentioning

confidence: 99%

“…Load_of_Switch_to_Migrate ≤ CT -Load_of_Target CT= Controller Capacity (packets/Sec) Authors [18] mentioned selection of destination backup controller based on distance between switches and target controller, current load and percentage of packet loss. Distance between switch and backup controller affect the packet response time.…”

Section: (Ii) Decision Taking Modulementioning

confidence: 99%

Distributed Controller Fault Tolerance Model (Dcft) Using Load Balancing in Software Defined Networking

Lakhani¹,

Kothari²

2019

IJCET

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Lack of Flexibility, Centralized Control, and Cost are limitations of the traditional network. Software defined networking (SDN) adds flexibility and programmability in network management by separating the control plane from the data plane. Distributed controllers with SDN are logically centralized at control plane and physically distributed at data plane. They are deployed to improve the adeptness and accuracy of the control plane, which could isolate network into few subdomains with independent SDN controllers. Traffic is dynamic and configuration between switch and controller is static. If one of the controllers fails, load imbalance arises. To address this problem of fault tolerance in distributed controller DCFT (Distributed Controller Fault Tolerance) model is proposed in this paper. A novel switch migration method with coordinator controller in a distributed SDN controller is proposed for providing fault tolerance through load balancing. The system architecture of the proposed model with different modules such as coordinator controller election, load collection, decision taking, switch migration, Inter controller messenger designed. On failure of coordinator controller switch migration discussed. Implement DCFT model in Mininet, derived results, The results show that our design could achieve load balancing among distributed controllers while fault occurs, regardless network traffic variation and outperforms static binding controller system with communication overhead, controller load balance rate, and packet delay. We compare our model with CRD (controller redundancy decision), MUSM (maximum utilization switch migration) and ZSM (Zero switch migration) techniques. Simulation analysis performed on custom topology. We compare packet delay, communication overhead and load balancing rate in a custom topology with before and after migration of switches. It's revealed that the DCFT model produces better performance in fault tolerance.network switches without impairing the network operation itself. Figure 8 depicts a communication overhead for the given topology.Since ZSM just arranges single controller, the correspondence overhead between controllers is 0. The single controller is easily in the overloaded state since it needs to process all the flow demands. In this way, correspondence overheads among switches and controllers are most extreme in ZSM. CRD migrates switch to the nearest controller to streamline the selection of target controller, which brings down the overhead between controllers. On the other hand, closest migration is easy to produce traffic congestion that may increase communication overheads between switches and controllers. if multiple switches swarm into nearest controller at the same time. MUSM lessens overhead by adding an extra controller and the communication overhead between switches and controller lowest.DCFT model considers multiple costs and adopts a greedy algorithm to look for the ideal outcome. Design of the DCFT model reduces information interaction of irrelevant controllers by...

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QoS Aware Multi Mapping Technology in SD-WAN

Varsha

Sminesh

2021

Intelligent Data Communication Technologies and Internet of Things

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Enhanced Controller Fault Tolerant (ECFT) model for Software Defined Networking

Cited by 18 publications

References 5 publications

Generic Controller Adaptive Load Balancing (GCALB) for SDN Networks

Generic Controller Adaptive Load Balancing (GCALB) for SDN Networks

Distributed Controller Fault Tolerance Model (Dcft) Using Load Balancing in Software Defined Networking

QoS Aware Multi Mapping Technology in SD-WAN

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