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Serverless Computing
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AI
DOI：10.1109/MIC.2024.3524507.png)
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Abstract
En 中文
This special issue covers emerging research and development challenges in serverless computing, ranging from the development of an allocation and scheduling simulator to evaluate various orchestration policies, to support for scalable and cost-effective deployment of serverless machine learning models in heterogeneous edge environments. The articles also demonstrate how the serverless computing paradigm has been deployed across different system architectures, from edge-only deployments to those that make use of a combination of edge and cloud environments. There is clear enthusiasm in the systems community in utilizing this paradigm for a wide range of applications.
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