SQHCP: Secure-aware and QoS-guaranteed heterogeneous controller placement for software-defined networking

Peng, Yi; Hu, Tao; Hu, Yuxiang; Lan, Julong; Zhang, Zhen; Li, Ziyong

doi:10.1016/j.comnet.2020.107740

Cited by 9 publications

(10 citation statements)

References 24 publications

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“…Hence, it is compounded even further when dealing with heterogeneous controllers. Te motivation for designing CP with heterogeneous controllers can be seen from a security perspective to avoid the common mode fault of homogeneous controllers [10]. Tus, providing an abstraction that can support the integration and interoperation between CP with heterogeneous controllers from diferent vendors as did to DP elements by OpenFlow is a big challenge.…”

Section: Controllers Interoperability Problemmentioning

confidence: 99%

“…Tis might have devastating consequences for the entire network. Tis phenomenon is called the "homogeneous controller common-mode fault" (HC-CMF) [10]. Consider a scenario of an SDN for which all the multiple controllers are homogeneous (e.g., Floodlight), each of which manages the corresponding SDN subnet.…”

Section: Motivation For Heterogeneous Control Planementioning

confidence: 99%

“…And MNOS is only limited to the variety of controllers used. Recently, Yi et al [10] were inspired by these works to formulate a secure aware heterogeneous CP (SQHCP) to optimize delay, resource utilization, and failure rate in SDN with homogeneous controllers due to common-mode fault (CMF). Te techniques involve two steps: step one deals with determining the number of heterogeneous controllers using a knapsack approach based on dynamic planning to ensure tight control plane security.…”

Section: Ewi For Heterogeneous Control Planementioning

confidence: 99%

“…Step two deals with network partitioning using the K-means clustering algorithm. Te inclusion of heterogeneity in [10] is security motivated. Because of the CMF of CP homogeneity, attackers familiar with one controller's vulnerabilities can bring down the entire network.…”

Section: Ewi For Heterogeneous Control Planementioning

confidence: 99%

“…Several eforts were made to ofer solutions to these outlined issues [9][10][11][12]. Each has a peculiar application area, parameters, and performance metrics.…”

Section: Introductionmentioning

confidence: 99%

See 4 more Smart Citations

Distributed Controller Placement in Software-Defined Networks with Consistency and Interoperability Problems

Yusuf

Bakar

Isyaku

et al. 2023

Journal of Electrical and Computer Engineering

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Software-defined networking (SDN) brings an innovative approach to networking by adopting a flow-centric model and removing networking decisions from the data plane to provide them centrally from the control plane. A single centralized controller is used in a traditional SDN design. However, the complexity of modern networks, due to their size and requirements’ coarseness, has made using a single controller a source of performance bottlenecks. Similarly, the solution found by using multiple controllers in distributed control planes brings forth the profound issue of interoperability, consistency, and the “controller placement problem” (CPP). It is an NP-hard problem that deals with positioning controllers at optimum locations within the network and mapping with resources at the data plane to meet quality of service (QoS) requirements. Over the years, the problem has received significant attention from the research community, and many solutions have been considered. This paper offers an in-depth review of the proposals by providing an updated evolution of the problem concerning the application environment, design objectives, and cost and controller type. Based on our findings, new research ideas were identified and discussed.

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Section: Controllers Interoperability Problemmentioning

confidence: 99%

Section: Motivation For Heterogeneous Control Planementioning

confidence: 99%

Section: Ewi For Heterogeneous Control Planementioning

confidence: 99%

Section: Ewi For Heterogeneous Control Planementioning

confidence: 99%

“…Several eforts were made to ofer solutions to these outlined issues [9][10][11][12]. Each has a peculiar application area, parameters, and performance metrics.…”

Section: Introductionmentioning

confidence: 99%

See 3 more Smart Citations

Distributed Controller Placement in Software-Defined Networks with Consistency and Interoperability Problems

Yusuf

Bakar

Isyaku

et al. 2023

Journal of Electrical and Computer Engineering

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Metaheuristic algorithms for capacitated controller placement in software defined networks considering failure resilience

Mohanty,

Sahoo

2024

Concurrency and Computation

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SummarySoftware‐defined networking (SDN) has revolutionized network architectures by decoupling the control plane from the data plane. An intriguing challenge within this paradigm is the strategic placement of controllers and the allocation of switches to optimize network performance and resilience. In the event of a controller failure, the switches are disconnected from the controller until they are reassigned to other active controllers possessing sufficient spare capacity. The reassignment could lead to a significant rise in propagation latency. This correspondence presents a mathematical model for capacitated controller placement, strategically designed to anticipate failures and prevent a substantial increase in worst‐case latency and disconnections. The aim is to minimize the worst‐case latency between switches and their backup controllers and among the controllers. Four metaheuristic algorithms are proposed including, an enhanced genetic algorithm (CCPCFR‐EGA), particle swarm optimization (CCPCFR‐PSO), a hybrid particle swarm optimization and simulated annealing algorithm (CCPCFR‐HPSOSA), and a grey wolf optimization algorithm (CCPCFR‐GWO). These algorithms are compared with a simulated annealing method and an optimal method. Evaluation conducted on four network datasets demonstrates that the proposed metaheuristic methods are faster than the optimal method. The experimental outcome indicates that CCPCFR‐HPSOSA and CCPCFR‐GWO outperform the other methods, consistently providing near‐optimal solutions. However, CCPCFR‐GWO is preferred over CCPCFR‐HPSOSA due to its faster execution time. Specifically, CCPCFR‐GWO achieves an average speed‐up of 3.9 over the optimal for smaller networks and an average speed‐up of 31.78 for larger networks, while still producing near‐optimal solutions.

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Controller placement in SDN using game theory and a discrete hybrid metaheuristic algorithm

Khojand,

Majidzadeh,

Masdari

et al. 2023

J Supercomput

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SQHCP: Secure-aware and QoS-guaranteed heterogeneous controller placement for software-defined networking

Cited by 9 publications

References 24 publications

Distributed Controller Placement in Software-Defined Networks with Consistency and Interoperability Problems

Distributed Controller Placement in Software-Defined Networks with Consistency and Interoperability Problems

Metaheuristic algorithms for capacitated controller placement in software defined networks considering failure resilience

Controller placement in SDN using game theory and a discrete hybrid metaheuristic algorithm

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