noewangjy/cloud-computing
Source code and report for course ICE6405P at SJTU
This project offers practical demonstrations for cloud computing professionals or students learning to build and deploy advanced cloud systems. It demonstrates how to set up high-performance virtual networks, deploy machine learning applications on serverless platforms, and implement federated learning on a cloud infrastructure. Cloud engineers, system architects, and researchers focused on distributed AI will find these examples useful.
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Use this if you are a cloud architect, systems engineer, or a graduate student looking for practical examples and code to implement advanced cloud functionalities like high-performance virtualization, serverless ML deployments, or federated learning on distributed platforms.
Not ideal if you are looking for an off-the-shelf application or a simple Python library for basic cloud interaction, as this project focuses on foundational infrastructure deployment and research rather than end-user tools.
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May 24, 2022
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