JUNCTION: A Scalable Multi-Access Solution Using Programmable Switches

Multi-access networks are increasingly important for reliable end-to-end connectivity and enhanced throughput performance. A scalable multi-access solution is required to roll out multi-access networks at scale. However, existing CPU-based solutions can no longer scale sustainably, as network traffic has outgrown the CPU performance growth. Consequently, hardware accelerators offer a compelling alternative. This paper introduces JUNCTION, a scalable multi-access solution designed using programmable switches. JUNCTION features a multipath protocol tailored to the hardware constraints and optimized for efficient memory utilization, enabling it to handle a large number of multipath sessions. We validate JUNCTION on a 5G-WiFi multi-access testbed. Our analysis demonstrates that it can scale an order of magnitude better than existing solutions.

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Publication Details

Published
2024-12-02
DOI
https://doi.org/10.1109/secon64284.2024.10934954
Primary Topic
Parallel Computing and Optimization Techniques
Type
article
Field-Weighted Citation Impact
0.00

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JUNCTION: A Scalable Multi-Access Solution Using Programmable Switches

Xin Zhe Khooi, Cha Hwan Song, Satis Kumar Permal, Raj Kumar Joshi et al.
Parallel Computing and Optimization Techniques
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JUNCTION: A Scalable Multi-Access Solution Using Programmable Switches

Xin Zhe Khooi, Cha Hwan Song, Satis Kumar Permal, Raj Kumar Joshi, Nishant Budhdev, Levente Csikor, Mun Choon Chan
article en

Abstract

Multi-access networks are increasingly important for reliable end-to-end connectivity and enhanced throughput performance. A scalable multi-access solution is required to roll out multi-access networks at scale. However, existing CPU-based solutions can no longer scale sustainably, as network traffic has outgrown the CPU performance growth. Consequently, hardware accelerators offer a compelling alternative. This paper introduces JUNCTION, a scalable multi-access solution designed using programmable switches. JUNCTION features a multipath protocol tailored to the hardware constraints and optimized for efficient memory utilization, enabling it to handle a large number of multipath sessions. We validate JUNCTION on a 5G-WiFi multi-access testbed. Our analysis demonstrates that it can scale an order of magnitude better than existing solutions.

National University of Singapore (SG), Samsung (South Korea) (KR), Harvard University Press (US), Institute for Infocomm Research (SG), Nokia (Belgium) (BE)
National Research Foundation
Openalex Percentile: Top 68%
Parallel Computing and Optimization Techniques
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