Traffic Load Balancing in SDN Using Round-Robin and Dijkstra Based Methodology

Kumar, Vishwas; Jangir, Sandeep; Patanvariya, Deven G.

doi:10.1109/iconat53423.2022.9725862

Cited by 10 publications

(5 citation statements)

References 6 publications

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“…The development of SDN and the complex and ever-changing needs of the real network environment have increased the difficulty of selecting the optimal path. In path selection problems, a single metric parameter cannot be selected as a constraint to make reliable path planning [47]. This will lead to some unnecessary congestion and reduce link utilization.…”

Section: Mitigation Mechanisms Based On the Re-routing Strategymentioning

confidence: 99%

CCS: A Cross-Plane Collaboration Strategy to Defend Against LDoS Attacks in SDN

Yue,

Yan,

et al. 2024

IEEE Trans. Netw. Serv. Manage.

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Software-Defined Networking (SDN) actualizes the separation of control and forwarding, innovates network functionality with a logically centralized controller, and facilitates network-wide collaboration. Contemporary SDN infrastructure exposes potential bottlenecks which are prone to engaging low-rate denial of service (LDoS) attacks. Currently, a great deal of detection methods are deployed in the controller, and the controller needs to poll the switch frequently, which brings heavy load to the controller and the southbound link. According to the analysis of existing researches, we focused on the how to decrease the frequent polling of the controller and improve the detection rate. In this paper, we adopted the idea of cross-plane collaboration and proposed a two-phase detection framework, which carried out the lightweight detection method in the data plane and the in-depth detection based on Bayesian voting mechanism in the control plane. Once LDoS attacks are detected, the controller recalculates routes for the bottleneck nodes using the optimized Dijkstra algorithm to complete mitigation. Theoretical analyses and extensive experiments are conducted to validate the performance of our proposed method. Test results show that our method outperforms other traditional methods in terms of the detection rate of 99.1%, the detection delay of 1.3s and the communication overhead of 1068 Byte/s, the average CPU utilization of controller remains at approximately 3.5%. The proposed method takes a step forward to enhance the security of SDN.

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Section: Mitigation Mechanisms Based On the Re-routing Strategymentioning

confidence: 99%

CCS: A Cross-Plane Collaboration Strategy to Defend Against LDoS Attacks in SDN

Yue,

Yan,

et al. 2024

IEEE Trans. Netw. Serv. Manage.

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show abstract

“…In a scenario where the servers have similar characteristics, the study shows that the round-robin algorithm has a better performance compared to the IP Hash algorithm. Furthermore, the work by Kumar et al 14 implemented round-robin and random load-balancing strategies in a client-server SDN-based architecture, comparing them with the Dijkstra approach. Their findings indicated better performance of the round-robin algorithm in certain network topology, whereas the Dijkstra algorithm exhibited superior throughput in a fat-tree topology.…”

Section: Related Workmentioning

confidence: 99%

Load balancing algorithms in SDN networks with multiple servers

Masaquiza Caiza,

Maigualema Quimbita,

Tropea

2024

Disruptive Technologies in Information Sciences VIII

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In recent years, the interest in Software-Defined Networking (SDN) has been very high. Many applications of traditional networking have been implemented in SDN environments in order to test the performance of the different network devices. In this paper, server load-balancing (LB) based on SDN has been developed and tested to verify the effectiveness of this approach inside the new networking approach. In our implementation, we have used a RYU controller for controlling and managing network devices and two different LB algorithms have been implemented. We have performed an analysis of these two algorithms with a system without load balancing in a server-client system changing the number of servers and clients in order to show the performance of the SDN network.

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“…This time delay is the power communication delay. The Dijkstra algorithm [30] is used to calculate the shortest route between the control node and the action application node as well as the longest way to collect the node data.…”

Section: Communication Network Model Constructionmentioning

confidence: 99%

A DRL-Based Load Shedding Strategy Considering Communication Delay for Mitigating Power Grid Cascading Failure

et al. 2023

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Successive failures in power transmission lines can cause cascading failures in the power grid, which may eventually affect large parts of the power grid and even cause the power grid system to go down. Collecting and transmitting primary equipment information and issuing load-shedding action commands in the power grid depend on the power communication network. With the help of the power communication network, we can better observe the situation of the power grid in real time and provide a guarantee for the regular working of the power grid. However, the communication network also has the problem of communication delay causing latency in load-shedding action. On the premise of preserving the key physical properties and operational characteristics of the power grid, this paper uses the IEEE 14 and 30 bus systems as examples to establish a direct current (DC) power flow simulation environment. We establish a communication network model based on the power grid topology and the corresponding communication channels. For the problem of cascading failures occurring in the power grid after transmission line failures, a load-shedding strategy using soft actor-critic (SAC) based on deep reinforcement learning (DRL) was developed to effectively mitigate cascading failures in the power grid while considering the impact of communication delay. The corresponding communication delay is obtained by calculating the shortest communication path using the Dijkstra algorithm. The simulation verifies the feasibility and effectiveness of the SAC algorithm to mitigate cascading failures. The trained network can decide on actions and give commands quickly when a specific initial failure is encountered, reducing the scale of cascading failures.

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Traffic Load Balancing in SDN Using Round-Robin and Dijkstra Based Methodology

Cited by 10 publications

References 6 publications

CCS: A Cross-Plane Collaboration Strategy to Defend Against LDoS Attacks in SDN

CCS: A Cross-Plane Collaboration Strategy to Defend Against LDoS Attacks in SDN

Load balancing algorithms in SDN networks with multiple servers

A DRL-Based Load Shedding Strategy Considering Communication Delay for Mitigating Power Grid Cascading Failure

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