HULA: Dynamic and Scalable Load Balancing Mechanism for Data Plane of SDN

Kulkarni, Manasa; Goswami, Bhargavi; Paulose, Joy

doi:10.1109/icecct56650.2023.10179849

Cited by 2 publications

(1 citation statement)

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“…In this section, authors delve into a comparative analysis between the DLBA algorithm and several other P4-based load-balancing algorithms, which encompass Weighted Round Robin (WRR), Hash Load Balancing, DPDK, SHELL, and HULA, as documented in [20]. This evaluation aims to gauge DLBA's scalability in contrast to these load-balancing methods, utilizing metrics such as throughput, congestion window, and packet loss.…”

Section: Resultsmentioning

confidence: 99%

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: Resultsmentioning

confidence: 99%