P4 based Load Balancing Strategies for Large Scale Software-Defined Networks

Kulkarni, Manasa; Goswami, Bhargavi; Paulose, Joy

doi:10.1109/icaect54875.2022.9807999

Cited by 6 publications

(3 citation statements)

References 19 publications

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“…This section provides an in-depth exploration of the DLBA algorithm, including its conceptual framework and detailed implementation. Our assessment of the algorithm's scalability, as demonstrated through experiments conducted with Mininet and OpenFlow switches, is discussed [4]. P4, a robust programming language for data plane algorithm design, which is employed in the experimental setup, enabling seamless communication between servers and switches in the topology.…”

Section: Methodsmentioning

confidence: 99%

“…The experiment's results are subsequently validated using Wireshark. Detailed implementation files and a step-by-step experimental procedure can be found in the GitHub repository [19].…”

Section: Methodsmentioning

confidence: 99%

“…Concurrently, the P4 language has gained prominence as a powerful tool for programming the data plane of network devices [3]. At the heart of SDN lies the aspiration to enable networks to adapt in real-time to changing conditions and application requirements [4]. One of the pivotal challenges in achieving this goal is the efficient distribution of network traffic task that demands dynamic and intelligent load balancing within the data plane.…”

Section: Introductionmentioning

confidence: 99%

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Efficient Traffic Distribution: P4 language based Dynamic Load Balancing Algorithm in SDN

Kulkarni,

Goswami,

Paulose

2024

Preprint

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The proliferation of data-intensive applications and the continuous growth of network traffic in modern communication networks have necessitated the development of innovative approaches to network management. Software Defined Networking (SDN) and the programmable data plane language known as P4 (Programming Protocol-independent Packet Processor) language have emerged as promising solutions to address the challenges associated with network scalability and adaptability. This research paper presents an investigation into large-scale SDN deployment leveraging the expressive power of P4 language for enhanced network control and management. This research contributes to the growing knowledge of large-scale SDN deployment with the P4 language. It offers valuable insights for network architects, operators, and researchers seeking to harness the capabilities of programmable data planes in the quest for more adaptive and responsive communication networks. In conclusion, the authors propose a P4 language-based Dynamic Load Balancing Algorithm (DLBA), which emerges as a versatile and adaptive approach to load balancing within the data plane of SDN networks. By leveraging the capabilities of P4, DLBA offers a flexible and effective means to optimize network performance, making it a valuable addition to the toolkit of network administrators and researchers striving to meet the demands of today's dynamic communication networks.

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Section: Methodsmentioning

confidence: 99%

“…The experiment's results are subsequently validated using Wireshark. Detailed implementation files and a step-by-step experimental procedure can be found in the GitHub repository [19].…”

Section: Methodsmentioning

confidence: 99%