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ArticlePeer ReviewedOpen AccessPlagiarism Passed
Paper ID:IJSREM68119

Programmable Data Plane Switches and Next- Generation Network Switching Architectures

Stream/Area:

-

Subject:

-

Paper ID:

IJSREM68119

Volume:

10 |

10 |

Oct 2026

Pages:

1-12

Publication Frequency:

Monthly (12 issues per year)

DOI
Digital Object Identifier
10.55041/IJSREM68119

License:International Journal of Scientific Research in Engineering and Management follows the Creative Commons Attribution 4.0 (CC BY 4.0) License, allowing free use and distribution with proper attribution.

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Authors

Nirav J. Gohil

Nirav J. Gohil

Computer Engineering

Vidhyadeep Institute of Engineering and Technology

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HP

Hemangini Patel

Computer Engineering

Vidhyadeep Institute of Engineering and Technology

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SP

Sapna Patel

Computer Engineering

Vidhyadeep Institute of Engineering and Technology

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Abstract

Computer networks are an important part of cloud computing, data centres, and modern Internet services. Traditional network switches use fixed hardware designs, which can make it difficult to support new protocols and changing network requirements. Programmable data plane switches provide more flexibility by allowing network operators and researchers to define packetprocessing rules in software. This paper reviews the development of network switching technologies, including traditional switches, Software-Defined Networking (SDN), P4 programmable switches, in-network computing, network telemetry, Smart NICs, and optical switching. It discusses their main features, benefits, limitations, and possible applications. The paper also identifies important challenges, such as limited hardware memory, restricted processing operations, telemetry overhead, and differences between hardware platforms. Based on this review, the paper proposes a conceptual Unified Programmable Switching and Telemetry Framework (UPSTF). The proposed framework combines programmable packet processing, in-network computing, adaptive telemetry, SDN control, and a web-based monitoring dashboard. It is a conceptual design and has not yet been implemented or experimentally evaluated. Future work may include developing a prototype and testing its performance under different network conditions.

KEYWORDS

Programmable Data Plane P4 Software-Defined Networking In-Network Computing Network Telemetry Smart NIC Optical Switching

Cite This Article

Nirav J. Gohil, Hemangini Patel, Sapna Patel, "Programmable Data Plane Switches and Next- Generation Network Switching Architectures," International Journal of Scientific Research in Engineering and Management, vol. 10, no. 10, pp. 1-12, Oct 2026. https://doi.org/10.55041/IJSREM68119

Full Article/Conclusion

Computer network switching has decisively transitioned from an era of proprietary, fixed function silicon to an era of fully software-defined, protocol-independent programmability. This systematic review evaluated the historical and technological trajectory of switching hardware based on contemporary literature. We analysed the evolution spanning TCAM flow-rule optimization in modern OpenFlow deployments, line-rate P4/PISA programmable pipelines, in band network telemetry, in-switch computational acceleration, Smart NIC offloading, and optical interconnects. While programmable data planes unlock unprecedented control over network behaviour, they remain constrained by physical silicon limits, including restricted on-chip SRAM/TCAM capacities, pipeline recirculation penalties, and integer-only ALU architectures. The proposed Unified Programmable Switching and Telemetry Framework presents a balanced architectural blueprint for harmonizing line-rate forwarding with scalable, adaptive telemetry monitoring. Continued exploration into optical-electronic co-packaged switching, floating-point hardware ALUs, and autonomous self-healing fabrics will define the next frontier of high performance computer networking. 

References

[1] Y. Zhao, L. Hu, and K. Chen, 'Flow-Table Management and Memory Optimization Strategies in OpenFlow Switches: A Comprehensive Survey,' IEEE Transactions on Network and Service Management, vol. 18, no. 1, pp. 450–467, 2021.  [2] E. F. Kfoury, J. Crichigno, and E. Bou-Harb, 'An Exhaustive Survey on P4 Programmable Data Plane Switches: Taxonomy, Applications, Challenges, and Future Trends,' IEEE Access, vol. 9, pp. 87094–87155, 2021 [3] X. Jin, X. Li, et al., 'Net Cache: Balancing Key-Value Stores with Fast In-Network Caching on Programmable Switches,' IEEE/ACM Transactions on Networking, vol. 29, no. 2, pp. 850–864, 2021.  [4] P. X. Gao et al., 'Dynamic ECN Marking and Microburst Congestion Control in High-Speed Data Centres Switch Fabrics,' IEEE/ACM Transactions on Networking, vol. 29, no. 3, pp. 1102–1117, 2021.  [5] A. Sapio, M. Canini, C. Ho, et al., 'Scaling Distributed Machine Learning with In-Network Aggregation: The Switch ML Architecture,' in Proc. 18th USENIX Symposium on Networked Systems Design and Implementation (NSDI), pp. 785–808, 2021.  [6] C. Kim et al., 'In-Band Network Telemetry (INT) Datapath Specification: Nanosecond Flow Visibility in P4 Fabrics,' P4.org Architecture Working Group Specification, v2.1, 2022.  [7] R. Aggarwal et al., 'A Survey on Security Applications of P4 Programmable Data Plane Switches: Line-Rate Mitigation,' Computer Networks (Elsevier), vol. 188, art. no. 107887, 2022.  [8] P. Bosshart, G. Gibb, et al., 'Forwarding Metamorphosis: Programmable Match-Action Processing Architectures for Terabit Switches,' IEEE Micro, vol. 42, no. 1, pp. 34–45, 2022.  [9] S. H. Yeganeh and Y. Ganjali, 'Scalable Distributed SDN Controllers for High-Throughput Cloud Data Centres,' IEEE Transactions on Cloud Computing, vol. 11, no. 2, pp. 1420– 1434, 2023.  [10] D. Firestone et al., 'Smart NIC Architecture for Host SDN Offloading in Hyperscale Cloud Fabrics,' IEEE Micro, vol. 43, no. 3, pp. 62–74, 2023. 

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Publication Date

10/20/2026

Peer Review Type

Double-Blind Peer Review

Review Rounds: 2

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