A load distribution scheme over multiple controllers for scalable SDN

Kyung, Yeunwoong; Hong, Kiwon; Nguyen, Tri Minh; Park, Sungho; Park, Jin-Woo

doi:10.1109/icufn.2015.7182654

Cited by 14 publications

(11 citation statements)

References 9 publications

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“…Their objective is to solve Equations 23, 24, 25, and 26 by using a non-zero-sum game. Kyung et al 31 have proposed load distribution scheme based on per-flow for controllers in SDN. If the capacity of the controllers reaches its threshold, the incoming message is routed to other controllers to avoid blocked state of the controller.…”

Section: Dynamic Traffic-aware 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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Section: Dynamic Traffic-aware Ccppmentioning

confidence: 99%

A survey and classification of controller placement problem in SDN

2018

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“…[21][22][23][24][25][26][27][28][29] An OFS actually treats packets of each flow by following the local database (flow table). [30][31][32][33][34] The flow table contains multi- reports it to the OFC (we call this event as Packet_in). 40 Generally, most traffic load of the control plane is Packet_in messages that are transmitted from OFS to OFC.…”

Section: Establishes a Transmission Controlmentioning

confidence: 99%

“…17 However, as the scale of the network expands, it is difficult for the current centralized control plane to serve all requests from the data plane. [11][12][13][14] To solve this problem, a per-flow load distribution strategy based on multiple controllers in SDN is proposed in the work of Kyung et al 18 Specifically, when the capacity of the controller reaches a given threshold that has higher blocking probability according to the evaluation of Markov chain model, 36 the controller diverts incoming requests to candidate controllers with remaining spare capacity, so as to achieve higher bandwidth use and lower blocking probability. However, this method needs to frequently query candidate controllers and thus increases extra latency.…”

Section: Establishes a Transmission Controlmentioning

confidence: 99%

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Scalable SDN architecture with distributed placement of controllers for WAN

Zhao

2017

Concurrency and Computation

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By separating control plane from data plane, software-defined network (SDN) adopts centralized controllers to manage data flows in the network. Nevertheless, the rapid growth of network service traffic requires a large number of controllers, reducing network performance due to the scalability constraint. Therefore, we consider distributed placement of controllers in wide-area network to construct a scalable SDN architecture, by taking service traffics, traffic propagation delay, and load balancing into account. Specifically, we first partition the network into several small sections (named SDN domains) and then place the least amount of controllers to a proper node in each domain. The architecture provides a control channel to deliver requested messages for each SDN domain, so it reduces the link delay (which is assumed to be proportional to the physical length of the link) between switches and SDN controllers. Unfortunately, it also introduces extra latency among controller sets at different SDN domain. Accordingly, we formulate an integer linear program to optimize network cost and performance by considering all those conflicting factors and propose an efficient heuristic algorithm called distributed SDN placement to solve the problem. Simulation results confirm that our proposed heuristic distributed SDN placement can achieve suboptimal solutions as compared with the integer linear program results. KEYWORDScontroller sets (CSs), integer linear program (ILP), placement, scalability, software-defined network (SDN)

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“…In 2015, Y. Kyung and K. Hong [13] proposed an LB structure in addition to several controllers (CO) in SDN using IPv6. Once the capability of a CO up to the sill, the CO allows the entering packet to travel to other CO to avoid them from a block.…”

Section: Introductionmentioning

confidence: 99%

Traffic management inside software-defined data centre networking

Ali

Morad

Abdala³

2020

Bulletin EEI

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In recent years, data centre (DC) networks have improved their rapid exchanging abilities. Software-defined networking (SDN) is presented to alternate the impression of conventional networks by segregating the control plane from the SDN data plane. The SDN presented overcomes the limitations of traditional DC networks caused by the rapidly incrementing amounts of apps, websites, data storage needs, etc. Software-defined networking data centres (SDN-DC), based on the open-flow (OF) protocol, are used to achieve superior behaviour for executing traffic load-balancing (LB) jobs. The LB function divides the traffic-flow demands between the end devices to avoid links congestion. In short, SDN is proposed to manage more operative configurations, efficient enhancements and further elasticity to handle massive network schemes. In this paper the opendaylight controller (ODL-CO) with new version OF 1.4 protocol and the ant colony optimization algorithm is proposed to test the performance of the LB function using IPv6 in a SDN-DC network by studying the throughput, data transfer, bandwidth and average delay performance of the networking parameters before and after use of the LB algorithm. As a result, after applying the LB, the throughput, data transfer and bandwidth performance increased, while the average delay decreased.

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A load distribution scheme over multiple controllers for scalable SDN

Cited by 14 publications

References 9 publications

A survey and classification of controller placement problem in SDN

A survey and classification of controller placement problem in SDN

Scalable SDN architecture with distributed placement of controllers for WAN

Traffic management inside software-defined data centre networking

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