A Survey on Controller Placement in SDN

Das, Tamal; Sridharan, Vignesh; Gurusamy, Mohan

doi:10.1109/comst.2019.2935453

Cited by 161 publications

(123 citation statements)

References 194 publications

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“…More study is required to investigate the claim in [16] that ML algorithms can only be used as an initial solution for heuristic CPP approaches. Das et al [45] suggested that approaches based on ML should be explored in dynamic environments for speed and efficient CPP solution while [46] advocated for traffic Internet model using suitable learning models by collecting real traffic in the SDN for traffic prediction based CPP. In Zhang et al [14], the method for determining the optimal number of controllers in multiple domains network should be further investigated to ensure the costs of network construction and operation are under optimal control for scalability and controller load balancing.…”

Section: ) General and Machine Learning Based Cpp Strategiesmentioning

confidence: 99%

“…Despite the existence of vast areas of SDN, CPP insights can also be extended to non-SDN contexts like emerging areas such as cloudlet placement and operator placement in the perspective of edge computing and networking [45] [46] for IoT, sensor networks, and so on. Kumari and Sairam [46] suggested it can be effective by exploring their unique topology, range, energy limitations, and other factors.…”

Section: ) Cpp Application and Mobility-awarementioning

confidence: 99%

“…Hence, migration efficiency during the reassignments of controllers and switches should be considered. Similarly, Das et al [45] stated that though mapping multiple controllers per switch is beneficial in terms of security and resiliency, it also increases the network complexity in terms of control traffic. Consequently, security and resiliency trade-off should be investigated by exploring the impact of control latency and load balancing on multiple controllers.…”

Section: ) Switch Migration Switch-controller Selection Multi Contmentioning

confidence: 99%

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Comprehensive Review of SDN Controller Placement Strategies

et al. 2020

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Software-Defined Networking (SDN) is a network paradigm introduced to overcome the inherent challenges of traditional networks. Its architecture is either deployed with a single controller or multiple controllers. While the first is not suitable for large-scale networks, the latter is confronted with a controller placement problem (CPP) in a large-scale network environment. CPP involves the challenge of deploying the optimal number of controllers within a network while meeting certain performance requirements considered conflicting in nature such as reliability, load balancing, latency, energy efficiency, and computation time. A single optimal or random placement may not be feasible in CPP and careful planning is of the essence to find an appropriate trade-off among the metrics. To achieve this, several CPP approaches have been proposed, developed, and deployed over the years, each having its unique objectives, strengths, and weaknesses. Therefore, this paper performed a comprehensive review of some of the existing approaches to identify the unique solutions offered, comprehend the different strategies and the challenges that exist as well as provide researchers with future directions aimed at improving the optimum location and allocation of controllers, in particular, for SDN application in wireless sensor network (WSN). The findings revealed several existing solutions and algorithms as well as several challenges such as the need for an efficient algorithm, attack-aware, cost-aware, and energy-aware CPP schemes while achieving a good quality of service.

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Section: ) General and Machine Learning Based Cpp Strategiesmentioning

confidence: 99%

Section: ) Cpp Application and Mobility-awarementioning

confidence: 99%

Section: ) Switch Migration Switch-controller Selection Multi Contmentioning

confidence: 99%

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Comprehensive Review of SDN Controller Placement Strategies

et al. 2020

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“…The controllers in the control plane are responsible for centrally controlling and managing the forwarding devices in the data plane, e.g., routers or switches [4]. On the other hand, the data forwarding devices only need to conduct the flow forwarding policies received from the controllers and and no longer participate in network control [5]. Through applying logically centralized control and efficient management, SDN is expected to greatly simplify the forwarding function of the underlying devices and the control process of the entire network, and promote the rapid deployment of complex network functions by offering application programming interface (API) for network administrators [6].…”

Section: Introductionmentioning

confidence: 99%

Control plane delay minimization-based capacitated controller placement algorithm for SDN

Chai

Yuan

Zhu

et al. 2019

J Wireless Com Network

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Software-defined networking (SDN) is proposed as a new network paradigm which decouples control plane from data plane and provides flexible network management. In this paper, we consider the capacitated controller placement problem in SDN, which jointly determines the number, location, and the capacity matching strategy of SDN controllers. redTo stress the importance of control plane delay which is composed of both the transmission and processing delay between controllers and switches, and the inter-controller delay; we formulate control plane delay minimization problem subject to controller-switch association constraints, controller capacity constraints, etc. Since the formulated optimization problem is a complicated nonlinear integer programming problem which cannot be solved easily, we transform it into controller-switch association subproblem and controller capacity matching subproblem. To solve the controller-switch association subproblem, we propose a heuristic algorithm based on Dijkstra algorithm and K-means algorithm. Given the controller-switch association strategy, we then apply the Kuhn-Munkres (K-M) algorithm to solve the controller capacity matching subproblem and obtain the capacitated controller placement strategy. Simulation results are shown to demonstrate the effectiveness of the proposed algorithm.

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“…As controller placement [1,37,38] has a significant impact on the overall performance (i.e., delays, fault tolerance, resiliency, etc. ), it is considered one of the challenge that worth more investigations.…”

mentioning

confidence: 99%

A Review of the Control Plane Scalability Approaches in Software Defined Networking

Abuarqoub¹

2020

Future Internet

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Recent advances in information and communications cloud-based services hold the potential to overcome the scalability and complex maintenance limitations of traditional networks. Software Defined Networking (SDN) surfaced as a promising paradigm to mitigate such limitations while offering flexible networks management. Particularly, SDN separates the control plane from the data plane to achieve abstraction of lower-level functionality, hence, allowing more efficient network management and utilization. However, SDN suffers from various performance and scalability problems leading to significant research efforts on maximizing the scalability of the control plane. This paper aims at reviewing different SDN controller scalability, topology-based and mechanism-based approaches, as well as discussing and analyzing how they attempt to solve the scalability challenge. Furthermore, this paper elaborates on the promising research trends and challenges. Our insights are also discussed to stimulate further research efforts addressing the control plane scalability in SDN.

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A Survey on Controller Placement in SDN

Cited by 161 publications

References 194 publications

Comprehensive Review of SDN Controller Placement Strategies

Comprehensive Review of SDN Controller Placement Strategies

Control plane delay minimization-based capacitated controller placement algorithm for SDN

A Review of the Control Plane Scalability Approaches in Software Defined Networking

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