Distributed SDN controller system: A survey on design choice

Oktian, Yustus Eko; Lee, Sang-Gon; Lee, Hoon Jae; Lam, JunHuy

doi:10.1016/j.comnet.2017.04.038

Cited by 184 publications

(93 citation statements)

References 10 publications

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“…At the end, the upper bound of R(G) is expressed by (11). 30 As our algorithm considers the topology of the clusters, if there is any intercluster link between two clusters, its failure probability is taken into account, too.…”

Section: The Methods To Calculate the Reliability Ratementioning

confidence: 99%

“…In a fully distributed architecture, the fault tolerance is high due to many backup replicas, but there may be a considerable synchronization overhead which may decrease the overall performance. Conversely, in a hierarchical arrangement, only the coordinator controller owns and manages the global network state, 11 and again, it may become a single point of failure. Moreover, if any controller with Byzantine failure produces arbitrary information, it cannot be detected as being incorrect, and the faulty controller may even maliciously work together with other controllers to produce intentionally wrong answers.…”

Section: Introductionmentioning

confidence: 99%

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Improving the reliability of Byzantine fault‐tolerant distributed software‐defined networks

Moazzeni¹,

Khayyambashi

Movahhedinia

et al. 2020

Int J Communication

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This paper presents a method to improve the reliability and fault tolerance of distributed software-defined networks. This method is called "BIRDSDN (Byzantine-Resilient Improved Reliable Distributed Software-Defined Networks)." In BIRDSDN, a group communication is implemented among the controllers of the whole clusters. This method can detect the crash failure and Byzantine failure of any controller and undertakes a fast detection and recovery scheme to select the controllers to take over the orphan switches.BIRDSDN takes into account the reliability of the nodes considering the failure probability of intracluster and intercluster links, topology, load, and latency.The numerical results show that this approach performs better than the other approaches regarding failure detection, recovery, latency, throughput, reliability, and packet loss. K E Y W O R D S

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Section: The Methods To Calculate the Reliability Ratementioning

confidence: 99%

Section: Introductionmentioning

confidence: 99%

Improving the reliability of Byzantine fault‐tolerant distributed software‐defined networks

Moazzeni¹,

Khayyambashi

Movahhedinia

et al. 2020

Int J Communication

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“…Distributed SDN Controller System is discussed by Oktian et al . Distributed controller removes the limitation of the single controller.…”

Section: Controller Placement Problemmentioning

confidence: 99%

“…Distributed SDN Controller System is discussed by Oktian et al 65 Distributed controller removes the limitation of the single controller. Many network issues such as load balancing, scalability, and reliability are easily handled with the help of distributed controller system.…”

Section: Network Partitioning-based Ccppmentioning

confidence: 99%

A survey and classification of controller placement problem in SDN

2018

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Summary Software defined networking emerges as a promising paradigm shift that decouples the control plane from the data plane. It has the ability to centrally monitor and control the network through softwarization, ie, controller. Deploying a single controller is inefficient to handle large network traffic; thereby, making multiple controllers are a necessity of current software defined networking in wide area networks. Placing multiple controllers in an optimum way, ie, controller placement is a vibrant research problem. Controller placement problem (CPP) is of twofold: the minimum number of controllers to be placed in a network and locations of these controllers. Numerous researchers in the last 5 years (2012 to November 2017) have proposed solutions for the CPP, which is an NP‐hard problem. In general, solutions are based on objective functions and their optimum solutions considering various factors (such as propagation latency between switches and controllers, and intercontrollers) and constraints (such as the capacity of controllers and switches). To the best of our knowledge, this is the first attempt of state‐of‐the‐art review on CPP. This paper classifies the CPP, critically analyzes the existing solutions, and finds limitations and future scope existing, which will help potential researchers in this area to innovate new solutions for CPP lying on this information.

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“…Based on the local network information, the SDN controller monitors the network status and performs network control such as ow and path con guration. e commonly used SDN controllers are Opendaylight, Floodlight, and Ryu controllers [16,17]. e application layer above the control layer has network applications to conduct various network functions which have various network features.…”

Section: Software-de Ned Networkingmentioning

confidence: 99%

An Efficient SDN Multicast Architecture for Dynamic Industrial IoT Environments

Kim

Yun

Kim

et al. 2018

Mobile Information Systems

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Large-scale industrial IoT services appear in smart factory domains such as factory clouds which integrate distributed small factories into a large virtual factory with dynamic combination based on orders of consumers. A smart factory has so many industrial elements including various sensors/actuators, gateways, controllers, application servers, and IoT clouds. Since there are complex connections and relations, it is hard to handle them in point-to-point manner. In addition, many duplicated traffics are exchanged between them through the Internet. Multicast is believed as an effective many-to-many communication mechanism by establishing multicast trees between sources and receivers. ere are, however, some issues for adopting multicast to large-scale industrial IoT services in terms of QoS. In this paper, we propose a novel software-defined network multicast based on group shared tree which includes near-receiver rendezvous point selection algorithm and group shared tree switching mechanism. As a result, the proposed multicast mechanism can reduce the packet loss by 90% compared to the legacy methods under severe congestion condition. GST switching method obtains to decreased packet delay effect, respectively, 2%, 20% better than the previously studied multicast and the legacy SDN multicast.

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Distributed SDN controller system: A survey on design choice

Cited by 184 publications

References 10 publications

Improving the reliability of Byzantine fault‐tolerant distributed software‐defined networks

Improving the reliability of Byzantine fault‐tolerant distributed software‐defined networks

A survey and classification of controller placement problem in SDN

An Efficient SDN Multicast Architecture for Dynamic Industrial IoT Environments

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