Load Balancing Approach for Finding Best Path in SDN

Patil, Sayali

doi:10.1109/icirca.2018.8597425

Cited by 11 publications

(4 citation statements)

References 6 publications

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“…Another technique has been proposed by [5] to search the path that has least overhead using distributing the network flow to the least loaded path for adjusting the network load. To detect the least loaded path, the proposed technique addresses different parameters such as, packet loss, latency, bandwidth ratio, packet load, hop count, and trust in real-time.…”

Section: Literature Reviewmentioning

confidence: 99%

“…According to the first step of Genetic Algorithm, the initial population will be generated, which is searching for the path that involves the integral number. If data is transmitted through several switches such as 𝑆 1 𝑆 3 𝑆 5 𝑆 6 𝑆 4 , then the path will be considered as (1,3,5,6,4). If there are m paths available from one place to the destination, then m number of initial population will be generated.…”

Section: Initial Populationmentioning

confidence: 99%

“…𝜌 𝑐𝑒 is the link bandwidth consumption occupied by each inter-controller communication. Therefore, the link cost metric is defined as the utilization of all control path links of the whole network, which is calculated by the following equation (5):…”

Section: Expression Of Link Costmentioning

confidence: 99%

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Multi controller Placement optimization in Software Defined Network Controllers by using Genetic Algorithm

Inayatullah,

Hanif,

Shams

et al. 2024

Preprint

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SDN stands for software-defined network, and it gives scalability to manage the network by giving the concept of centralization and open control. The key concept of software-defined networks is that it separates the control mechanism and data mechanism, so the controller of SDN is only responsible for controlling the network functions. The controller can be programmed or decoded as per the need of the network administrator, whether the network administrator wants to expand the network or downscale the existing network. Open flow is the protocol which is used to build communication between controllers and a switching node. Open flow protocol is responsible for synchronizing and receiving the flow table when the request from the switches increases to control the level and multiple routing information comes to the controller. The controller could not be able to manage such an overflow of information. As a result, the performance of the controller was affected. In this paper genetic algorithm technique is used to resolve the load balancing issue between the multiple controllers. The proposed solution of algorithm will perform the method of selection, crossover, and mutation techniques to optimize the load balancing of controllers. The proposed technique will be compared with some benchmark algorithms, and it will be proved that the proposed GA outperforms as compared to other existing algorithms.

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Section: Literature Reviewmentioning

confidence: 99%

Section: Initial Populationmentioning

confidence: 99%

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Multi controller Placement optimization in Software Defined Network Controllers by using Genetic Algorithm

Inayatullah,

Hanif,

Shams

et al. 2024

Preprint

View full text Add to dashboard Cite

show abstract

“…Therefore, load balancing is often one solution to increase the performance of the network, service availability, and network scalability. To find the least loaded path, Patil [11] has proposed a load‐balancing method. The method has distributed the flow to the minimum loaded route to adjust the load of the network.…”

Section: Related Workmentioning

confidence: 99%