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EmuFork: Scaling Network Emulation by Eliminating Redundant Initialization

  • Xi'an Jiaotong University

Research output: Chapter in Book/Report/Conference proceeding › Conference contribution › peer-review

Abstract

This paper presents EmuFork, a novel emulation paradigm that eliminates redundant initialization by mimicking OS-level fork semantics. EmuFork captures the post-initialization state of a single template router and rapidly restores all subsequent instances from this shared snapshot via Copy-on-Write. By bypassing redundant computations and resolving cloning conflicts, EmuFork accelerates large-scale emulation by up to 86% and reduces peak memory usage by up to 30%.

Original languageEnglish
Title of host publicationAPNet 2026 - Proceedings of the 10th Asia-Pacific Workshop on Networking
PublisherAssociation for Computing Machinery, Inc
Pages282-284
Number of pages3
ISBN (Electronic)9798400726644
DOIs
StatePublished - 5 Aug 2026
Event10th Asia-Pacific Workshop on Networking, APNet 2026 - Singapore, Singapore
Duration: 6 Aug 2026 → 7 Aug 2026

Publication series

NameAPNet 2026 - Proceedings of the 10th Asia-Pacific Workshop on Networking

Conference

Conference10th Asia-Pacific Workshop on Networking, APNet 2026
Country/TerritorySingapore
CitySingapore
Period6/08/26 → 7/08/26

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