Pegasus: Transparent and Unified Kernel-Bypass Networking for Fast Local and Remote Communication

Modern software architectures in cloud computing are highly reliant on interconnected local and remote services. Popular architectures, such as the service mesh, rely on the use of independent services or sidecars for a single application. While such modular approaches simplify application development and deployment, they also introduce significant communication overhead since now even local communication that is handled by the kernel becomes a performance bottleneck. This problem has been identified and partially solved for remote communication over fast NICs through the use of kernel-bypass data plane systems. However, existing kernel-bypass mechanisms challenge their practical deployment by either requiring code modification or supporting only a small subset of the network interface.

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Publication Details

Published
2025-03-26
DOI
https://doi.org/10.1145/3689031.3696083
Citations
2
Primary Topic
Parallel Computing and Optimization Techniques
Type
article
Field-Weighted Citation Impact
4.54
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article

Pegasus: Transparent and Unified Kernel-Bypass Networking for Fast Local and Remote Communication

Tapti Palit, Congyu Liu, Dinglan Peng, Anjo Vahldiek-Oberwagner et al.
2 citations
Parallel Computing and Optimization Techniques
4.54
article

Pegasus: Transparent and Unified Kernel-Bypass Networking for Fast Local and Remote Communication

Tapti Palit, Congyu Liu, Dinglan Peng, Anjo Vahldiek-Oberwagner, Pedro Fonseca, Mona Vij
article en
2 citations

Abstract

Modern software architectures in cloud computing are highly reliant on interconnected local and remote services. Popular architectures, such as the service mesh, rely on the use of independent services or sidecars for a single application. While such modular approaches simplify application development and deployment, they also introduce significant communication overhead since now even local communication that is handled by the kernel becomes a performance bottleneck. This problem has been identified and partially solved for remote communication over fast NICs through the use of kernel-bypass data plane systems. However, existing kernel-bypass mechanisms challenge their practical deployment by either requiring code modification or supporting only a small subset of the network interface.

Intel (United States) (US), Purdue University West Lafayette (US), Intel (Germany) (DE)
Openalex Percentile: Top 7%
Parallel Computing and Optimization Techniques
4.54
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Pegasus: Transparent and Unified Kernel-Bypass Networking for Fast Local and Remote Communication — Tapti Palit, Congyu Liu, et al. · (2025) | TGRS Research Map | TGRS