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Sonnet: A Workflow-Aware Serverless Platform for Time-Sensitive Edge Computing With WebAssembly

delete2025-11-05
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OA
AI
Q
Quanfeng Deng
J
Jing Wu
Q
Qiangyu Pei
C
Chuangxun Lin
余辰 (Yu Chen)
金海 (Hai Jin)
DOI:10.1109/TC.2025.3628246delete
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Abstract

Abstract

En 中文
The serverless computing paradigm has emerged as a promising solution to address the resource underutilization and inflexible service scaling in edge environments by decomposing the monolithic application into a serverless workflow. However, existing serverless platforms are primarily designed for cloud data centers, relying on heavyweight isolation mechanisms that are ill-suited for resource-constrained edge computing. These limitations lead to high latency, low deployment density, and restricted parallelism. In this paper, we propose <i>Sonnet</i>, a serverless platform tailored for edge computing, capable of rapidly responding to user requests and supporting efficient and elastic service scaling. Sonnet offers these features by (i) employing lightweight WebAssembly as the execution environment for functions, (ii) leveraging serverless workflow information to optimize function deployment on resource-constrained edge environments, and (iii) providing a function deployment algorithm that achieves dynamic load balancing within the cluster. An extensive evaluation of <i>Sonnet</i> with real-world serverless workflows demonstrates its effectiveness and practical applicability. Compared with SOTA and commonly used edge computing serverless solutions, Sonnet can reduce end-to-end latency by 27% and improve throughput by 2.83<inline-formula><tex-math notation="LaTeX">$\boldsymbol{\times}$</tex-math></inline-formula>.
Keywords:
Serverless
edge computing
webassembly
function scheduling
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Journal

IEEE Transactions on Computers cover
IEEE Transactions on Computers
IF:
3.8
Papers:
5.3K
Citations:
9.8K

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H
huazhong university of science and technology
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2.5W
Papers: 7.4K
Citations: 5