Multi-controller Based Software-Defined Networking: A Survey

Hu, Tao; Guo, Zehua; Peng, Yi; Baker, Thar; Lan, Julong

doi:10.1109/access.2018.2814738

Cited by 177 publications

(107 citation statements)

References 47 publications

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“…Multi-controller data plane 1) Controller deployment: Controller deployment is an important issue in multi-controller research. In WANs, the propagation latency is the critical part of the total latency [25] [26], and some works aim to minimize the propagation latency among controllers and switches [50] [51].…”

Section: Related Workmentioning

confidence: 99%

Joint Switch Upgrade and Controller Deployment in Hybrid Software-Defined Networks

Guo

Chen

Liu

et al. 2019

IEEE J. Select. Areas Commun.

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To improve traffic management ability, Internet Service Providers (ISPs) are gradually upgrading legacy network devices to programmable devices that support Software-Defined Networking (SDN). The coexistence of legacy and SDN devices gives rise to a hybrid SDN. Existing hybrid SDNs do not consider the potential performance issues introduced by a centralized SDN controller: flow requests processed by a highly loaded controller may experience long tail processing delay; inappropriate multi-controller deployment could increase the propagation delay of flow requests.In this paper, we propose to jointly consider the deployment of SDN switches and their controllers for hybrid SDNs. We formulate the joint problem as an optimization problem that maximizes the number of flows that can be controlled and managed by the SDN and minimizes the propagation delay of flow requests between SDN controllers and switches under a given upgrade budget constraint. We show this problem is NP-hard. To efficiently solve the problem, we propose some techniques (e.g., strengthening the constraints and adding additional valid inequalities) to accelerate the global optimization solver for solving the problem for small networks and an efficient heuristic algorithm for solving it for large networks. The simulation results from real network topologies illustrate the effectiveness of the proposed techniques and show that our proposed heuristic algorithm uses a small number of controllers to manage a high amount of flows with good performance. Z. Guo and Z.-L. Complexity analysis, controller deployment, heuristic algorithm, hybrid SDN, switch upgrade, upgrade budget I. INTRODUCTION Software-Defined Networking (SDN) has been widely studied and gradually adapted for campus networks [1], data center networks [2], Wide Area Networks (WANs) [3], enterprise networks [4], and Internet exchange points [5]. Due to the cost and operational considerations, SDN technology is usually deployed in an incremental fashion. In particular, at each time of network upgrade, only a set of selected legacy network devices (i.e., layer-3 routers and layer-2 switches) are upgraded to SDN switches. AT&T converted 34% of its network to SDN by the end of 2016 and virtualized 55% of its network to software by the end 2017. Its final goal is to reach 75% softwarization of its network by 2020 [6]. Therefore, the legacy network devices and SDN switches may coexist for a long time. In this paper, we will refer to such a network as a hybrid SDN.A WAN usually consists of many network devices at geo-distributed locations. A straightforward method to upgrade legacy network devices in WANs to SDN switches is based on the locations of network devices, for example, upgrade a part of WAN with network devices in proximity. The partial upgraded network can enjoy the benefit of SDN, but the performance improvement of the entire network is limited. An efficient solution for network providers is to spread the benefit of upgraded SDNs in the entire network. Based on this consideration, existing ...

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Section: Related Workmentioning

confidence: 99%

Joint Switch Upgrade and Controller Deployment in Hybrid Software-Defined Networks

Guo

Chen

Liu

et al. 2019

IEEE J. Select. Areas Commun.

Self Cite

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“…Comprehensive study of SDN is a difficult task as it is a multi-dimensional field. However, it has been explored thoroughly with the aspects of its history, current state and future applications in a number of studies [11]- [15]. In [11], Masoudi et al investigates data, control and application planes of SDN paradigm in details.…”

Section: B Related Workmentioning

confidence: 99%

A comprehensive survey of interface protocols for software defined networks

Latif

Sharif

et al. 2020

Journal of Network and Computer Applications

113

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Software Defined Networks has seen tremendous growth and deployment in different types of networks. Compared to traditional networks it decouples the control logic from network layer devices, and centralizes it for efficient traffic forwarding and flow management across the domain. This multilayered architecture has data forwarding devices at the bottom in data plane, which are programmed by controllers in the control plane. The high level application or management plane interacts with control layer to program the whole network and enforce different policies. The interaction among these layers is done through interfaces which work as communication/programming protocols. In this survey, we present a comprehensive study of such interfaces available for southbound, northbound, and east/westbound communication. We have classified each type into different categories based on their properties and capabilities. Virtualization of networks devices is a common practice in Software Defined Networks. This paper also analyzes interface solution which work with different virtualization schemes. In addition, the paper highlights a number of short term and long term research challenges and open issues related to SDN interfaces.

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“…Recent research on SDN has shown that many challenges in a multi‐controller network have already been tackled . These challenges include scalability, consistency, reliability, and load‐balancing.…”

Section: Related Workmentioning

confidence: 99%

“…Recent research on SDN has shown that many challenges in a multi-controller network have already been tackled. 27 These challenges include scalability, consistency, reliability, and load-balancing. Solutions for the scalability problem are categorized into two aspects: the placement and number of controllers 28 and how to divide the network into multiple domains for a multi-controller SDN network.…”

Section: Related Workmentioning

confidence: 99%

Pluggable SDN framework for managing heterogeneous SDN networks

et al. 2020

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Summary Software‐defined networking (SDN) is a new network paradigm that is separating the data plane and the control plane of the network, making one or more centralized controllers to supervise the behaviour of the entire network. Different types of SDN controller software exist, and research dealing with the difficulties of consistently integrating these different controller types has mostly been declared future work. In this paper, the Domino framework is proposed, a pluggable SDN framework for managing heterogeneous SDN networks. In contrast to related work, the proposed framework allows research into SDN networks controlled by different types of SDN controllers attempting to standardize the northbound API of them. Domino implements a microservice plugin architecture where users can link different SDN networks to a processing algorithm. Such an algorithm allows for, eg, adapting the flows by building a pipeline using plugins that either invoke other SDN operations or generic data processing algorithms. The Domino framework is evaluated by implementing a proof‐of‐concept implementation, which is tested on the initial requirements. It achieves the modifiability and the interoperability with an average successful exchange ratio of 99.99%. The performance requirements are met for the frequently used commands with an average response time of 0.26 seconds, and the framework can handle at least 72 plugins simultaneously depending on the available amount of RAM. The proposed framework is evaluated by means of the implementation of a shortest path routing algorithm between heterogeneous SDN networks.

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Multi-controller Based Software-Defined Networking: A Survey

Cited by 177 publications

References 47 publications

Joint Switch Upgrade and Controller Deployment in Hybrid Software-Defined Networks

Joint Switch Upgrade and Controller Deployment in Hybrid Software-Defined Networks

A comprehensive survey of interface protocols for software defined networks

Pluggable SDN framework for managing heterogeneous SDN networks

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