A Hierarchical K-Means Algorithm for Controller Placement in SDN-Based WAN Architecture

Kuang, Hailan; Qiu, Yiwen; Li, Ruifang; Liu, Xinhua

doi:10.1109/icmtma.2018.00070

Cited by 41 publications

(27 citation statements)

References 7 publications

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“…In Figure 12, the cities obtained from the 9th experiment, which gives the most optimum solution set in Table 2, are shown on the map obtained from the ULAKNET data set within the Topology Zoo database. According to the results we have obtained, the pandemic hospitals that should be placed in the cities [74,57,8,28,0,39,15,74,18,45]. The names of these cities obtained are as follows: Figure 13.…”

Section: Methodsmentioning

confidence: 99%

“…CPP has been intensely studied in the literature. Papers [4][5][6][7][8][9][10][11][12][13][14][15][16] explain the different CPP problems in detail for the proper single controller or multiple distributions of controllers and clarify the benefits of SDN.…”

Section: Related Workmentioning

confidence: 99%

“…In [8], the authors present a hierarchical K-median algorithm for CPP. Also, by dividing the large number of single-controller network SDN, they attempt to provide efficient control of the area.…”

Section: Related Workmentioning

confidence: 99%

See 2 more Smart Citations

A Software-Defined Network Approach for The Best Hospital Localization Against Coronavirus (COVID-19)

Babayiğit¹,

Hascokadar²

2020

Adv. sci. technol. eng. syst. j.

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Section: Methodsmentioning

confidence: 99%

Section: Related Workmentioning

confidence: 99%

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A Software-Defined Network Approach for The Best Hospital Localization Against Coronavirus (COVID-19)

Babayiğit¹,

Hascokadar²

2020

Adv. sci. technol. eng. syst. j.

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“…The results showed the shortest tress has the least data loss and at least, five controllers are enough for networks considered sparse [15]. Similarly, Kuang et al [58] proposed a CPP approach for SDN-based WAN that is based on network partitioning. The authors proposed an algorithm-based K*means or hierarchical k-means which is used to partition the network into several subnetwork domains controller by a single controller.…”

Section: ) K-center and K-meansmentioning

confidence: 99%

Comprehensive Review of SDN Controller Placement Strategies

et al. 2020

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Software-Defined Networking (SDN) is a network paradigm introduced to overcome the inherent challenges of traditional networks. Its architecture is either deployed with a single controller or multiple controllers. While the first is not suitable for large-scale networks, the latter is confronted with a controller placement problem (CPP) in a large-scale network environment. CPP involves the challenge of deploying the optimal number of controllers within a network while meeting certain performance requirements considered conflicting in nature such as reliability, load balancing, latency, energy efficiency, and computation time. A single optimal or random placement may not be feasible in CPP and careful planning is of the essence to find an appropriate trade-off among the metrics. To achieve this, several CPP approaches have been proposed, developed, and deployed over the years, each having its unique objectives, strengths, and weaknesses. Therefore, this paper performed a comprehensive review of some of the existing approaches to identify the unique solutions offered, comprehend the different strategies and the challenges that exist as well as provide researchers with future directions aimed at improving the optimum location and allocation of controllers, in particular, for SDN application in wireless sensor network (WSN). The findings revealed several existing solutions and algorithms as well as several challenges such as the need for an efficient algorithm, attack-aware, cost-aware, and energy-aware CPP schemes while achieving a good quality of service.

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“…Kuang et al [25] applied hierarchical k-means clustering for network partitioning and extended the optimised k-means clustering proposed by Wang et al [7] considering both latency and load balancing. The authors used shortest path distance between nodes instead of Euclidean distance used in optimised kmeans.…”

Section: Related Workmentioning

confidence: 99%

Optimal multi‐controller placement strategy in SD‐WAN using modified density peak clustering

2019

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A Hierarchical K-Means Algorithm for Controller Placement in SDN-Based WAN Architecture

Cited by 41 publications

References 7 publications

A Software-Defined Network Approach for The Best Hospital Localization Against Coronavirus (COVID-19)

A Software-Defined Network Approach for The Best Hospital Localization Against Coronavirus (COVID-19)

Comprehensive Review of SDN Controller Placement Strategies

Optimal multi‐controller placement strategy in SD‐WAN using modified density peak clustering

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