Dynamic switch migration towards a scalable SDN control plane

Cheng, Guangming; Chen, Hongchang; Hu, Hongchao; Lan, Julong

doi:10.1002/dac.3101

Cited by 41 publications

(27 citation statements)

References 29 publications

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“…Controller number 11 controls 8 switches i.e., 2, 3, 8, 11, 16, 17, 18, and 19. Controller number 20 controls 12 switches i.e., 1,4,6,7,13,14,15,20,23,25,29, and 31. Controller number 30 controls 8 switches i.e., 10,12,22,24,26,28,30, and 34.…”

Section: Resultsmentioning

confidence: 99%

PSO and TLBO based Reliable Placement of Controllers in SDN

Singh¹,

Kumar²,

Srivastava³

2019

IJCNIS

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SDN (software defined networks) is a programmable network architecture that divides the forwarding plane and control plane. It can centrally manage the network through a software program, i.e., controller. Multiple controllers are required to manage the current software defined WAN. Placing multiple controllers in a network is known as controller placement problem (CPP). Only one controller is not capable to handle the scalability and reliability issues. To tackle these issues, multiple controllers are required. Efficient deployment of controllers in SDN is used to improve the performance and reliability of the network. To the best of our knowledge, this is the first attempt to minimize the total average latency of reliable SDN along with the implementation of TLBO and PSO algorithms to solve CPP. Our experimental results show that TLBO outperforms PSO for publicly available topologies.

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Section: Resultsmentioning

confidence: 99%

PSO and TLBO based Reliable Placement of Controllers in SDN

Singh¹,

Kumar²,

Srivastava³

2019

IJCNIS

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“…The switch migration is a lengthier process as many unnecessary messages are exchanged between the controller and the switches. The idea of game model is used to perform game-switch migration [30]. The utilization ratio of switches is chosen as the criteria for switch migration.…”

Section: B Load Balancing In Sdnmentioning

confidence: 99%

Towards QoS-Aware Load Balancing for High Density Software Defined Wi-Fi Networks

et al. 2020

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High density Wi-Fi networks require load balancing in order to ensure quality of service (QoS). In the traditional Wi-Fi networks, the wireless stations learn the access points (APs) load and make the association decisions themselves leading to uneven load distribution among the APs. The new paradigm, software defined networking (SDN), has a centralized architecture, which allows to manage, measure and control high density Wi-Fi networks easily. In this paper we propose a QoS-aware load balancing strategy (QALB) for software defined Wi-Fi networks (SD-Wi-Fi), as a solution to address the problem of Wi-Fi congestion among the OpenFlow enabled APs (OAPs). The SDN controller selects a load level up to which the association decisions are made by the OAPs without consulting the controller. The wireless stations from an overloaded OAP are handed to an underloaded OAP by considering multi-metrics such as the packet loss rate, received signal strength indicator (RSSI) and throughput. An emulation platform and a large-scalelow-cost testbed with the same settings are constructed to evaluate the performance of our load balancing strategy. The results show that in comparison to four non-static schemes such as, channel measurement based access selection scheme (CMAS), (DL-SINR) downlink-signal to interference plus noise ratio AP selection scheme (DASA), mean probe delay scheme (MPD) and RSSI scheme, the proposed QALB, optimizes the throughput up to 16%, reduces the average frame delay up to 19%, minimizes the number of re-transmissions by 49%, reduces the number of handoffs by 15%, improves the degree of load balancing by 22% and minimizes the re-association times by 38%, in high density SD-Wi-Fi. INDEX TERMS Emulation, high density, load balancing, QoS, Wi-Fi, SDN, testbed.

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“…Yanyu Chentt, Qing Lit et al [8] proposed an elastic architecture that can change switch controller mapping as per the load condition. Cheng, Guozhen, et al [9] work towards Balance a load of control plane by switch migration using parameters optimization of CPU, bandwidth and memory. Zhou, Yahoo, et al [10] work towards controller dynamic and adaptive load balancing algorithm for a distributed architecture.…”

Section: Switch Migration Algorithmmentioning

confidence: 99%

“…In this paper, we design a Distributed Controller Fault Tolerance model (DCFT) using load balancing in SDN. Few previous papers [5][6] [7][8] [9] have explored switch migration to provide load balancing but existing proposed algorithms can only work with load imbalance they cannot work with the event of controller failure. Control plane is suffering from a lack of fault tolerance.…”

Section: Introductionmentioning

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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Dynamic switch migration towards a scalable SDN control plane

Cited by 41 publications

References 29 publications

PSO and TLBO based Reliable Placement of Controllers in SDN

PSO and TLBO based Reliable Placement of Controllers in SDN

Towards QoS-Aware Load Balancing for High Density Software Defined Wi-Fi Networks

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

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