On generality of the data plane and scalability of the control plane in software-defined networking

Qingyun, Zuo; Chen, Ming; Ding, Ke; Xu, Bo

doi:10.1109/cc.2014.6821737

Cited by 17 publications

(10 citation statements)

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“…However, as a brief note, data plane scalability in SDN is mostly dominated by (1) processing power, (2) capacity of memory/buffer, and (3) software implementation of data plane devices. For a more detailed and comprehensive discussion on data plane scalability in SDN, we would like the readers to direct following studies: [12]- [19].…”

Section: Survey Organizationmentioning

confidence: 99%

A survey: Control plane scalability issues and approaches in Software-Defined Networking (SDN)

2017

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Software-Defined Networking (SDN) architecture has emerged in response to limitations of traditional networking architectures in satisfying today's complex networking needs. In particular, SDN allows network administrators to manage network services through abstraction of lower-level functionality. However, SDN is a logically centralized technology. Therefore, scalability, and especially the control plane (i.e. controller) scalability in SDN is one of the problems that needs more attention. In this survey paper, we first discuss the scalability problems of controller(s) in an SDN architecture. We then comprehensively survey and summarize the characterizations and taxonomy of state-of-the-art studies in SDN control plane scalability. We organize the discussion on control plane scalability into two broad approaches: Topology-related approaches and Mechanisms-related approaches. In Topology-related approaches, we study the relation between topology of architectures and scalability issues. It has sub-categories of Centralized (Single) Controller Designs and Distributed approaches. Distributed approaches, in turn, have also sub-categories: Distributed (Flat) Controller Designs, Hierarchical Controller Designs, and Hybrid Designs. In Mechanisms-related approaches, we review the relation between various mechanisms used to optimize controllers and scalability issues. It has sub-categories of Parallelism-based Optimization and Control Plane Routing Scheme-based Optimization. Furthermore, we outline the potential challenges and open problems that need to be addressed further for more scalable SDN control planes.

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Section: Survey Organizationmentioning

confidence: 99%

A survey: Control plane scalability issues and approaches in Software-Defined Networking (SDN)

2017

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“…Concerning the evolution of OpenFlow-based SDN founded on the principles of network devices generality, distributed control plane and simple packet processing, in [136] they argue that three principles need to be satisfied to maintain vertical scalability: 1) control functionalities should remain in the control plane domain, other than those which promote the efficiency of packet processing and adapt to the hardware and software requirements of the data plane, 2) control functionalities cannot change the basic data plane processes, 3) the collection of statistics in the data plane should not affect the accuracy and validity of the measurement and should not cause an increase in the control plane load. Following these principles, it is proposed to offload the control plane from the control messages, by introducing a statistical server that closely cooperates with network devices in the data plane and submits collected statistics only at the request of the controller.…”

Section: Measurement and Monitoringmentioning

confidence: 99%

Section: Measurement and Monitoringmentioning

confidence: 99%

A Survey on Data Plane Flexibility and Programmability in Software-Defined Networking

et al. 2019

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Software-defined networking (SDN) attracts the attention of the research community in recent years, as evidenced by a large number of survey and review papers. The architecture of SDN clearly recognizes three planes: application, control, and data plane. The application plane executes network applications; control plane regulates the rules for the entire network based on the requests generated by network applications; and based on the set rules, the controller configures the switches in the data plane. The role of the switch in the data plane is to simply forward packets based on the instructions given by the controller. By analyzing SDN-related research papers, it is observed that research, from the very beginning, is insufficiently focused on the data plane. Therefore, this paper gives a comprehensive overview of the data plane survey with particular emphasis on the problem of programmability and flexibility. The first part of the survey is dedicated to the evaluation of actual data plane architectures through several definitions and aspects of data plane flexibility and programmability. Then, an overview of SDN-related research was presented with the aim of identifying key factors influencing the gradual deviation from the original data plane architectures given with ForCES and OpenFlow specifications, which we called the data plane evolution. By establishing a correlation between the treated problem and the problem-solving approaches, the limitations of ForCES and OpenFlow data plane architectures were identified. Based on identified limitations, a generalization of approaches to addressing the problem of data plane flexibility and programmability is made. By examining generalized approaches, open issues have been identified, establishing the grounds for future research directions proposal.

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“…Thus, Difane reduces the traffic over the controller and allows the controller to do other tasks and hence improving the controller scalability. Data plane scalability has also been addressed in [27], [28]. b.…”

Section: Introductionmentioning

confidence: 99%

Toward Reliable Controller Placements in Software-Defined Network Using Constrained Multi-Objective Optimization Technique

Saeed

Ullah

2022

IEEE Access

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Software Defined Networking (SDN) makes it easy to control and manage the network due to a centralized control plane. However, this centralization also limits the scalability of SDN. To address this scalability issue, multiple controllers are deployed in the SDN. Placing multiple controllers poses several challenges, one of which is to find optimum locations for the placement of multiple controllers. The existing approaches for controller placement in a multiple-controller SDN environment overlook many aspects, like the path reliability for switch-to-controller and controller-to-controller communication, and the use of an efficient machine-learning algorithm. To address these issues, this paper proposes a novel approach, named as CMOPHA, that uses NSGA-II (a multi-objective optimization MOO algorithm) to compute the optimum placement of controllers based on the parameters of maximum switch-to-controller path reliability, and minimum value of switch-to-controller hop count, maximum controller-to-controller reliability, loadbalancing among the controllers and a minimum number of controllers. We conduct simulations using real network traces. Based on the results, we show that CMOPHA improves the network performance in terms of end-to-end delay, hop count, computation time, and network availability compared to the existing stateof-the-art approach.

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On generality of the data plane and scalability of the control plane in software-defined networking

Cited by 17 publications

References 0 publications

A survey: Control plane scalability issues and approaches in Software-Defined Networking (SDN)

A survey: Control plane scalability issues and approaches in Software-Defined Networking (SDN)

A Survey on Data Plane Flexibility and Programmability in Software-Defined Networking

Toward Reliable Controller Placements in Software-Defined Network Using Constrained Multi-Objective Optimization Technique

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