noewangjy/cloud-computing

Source code and report for course ICE6405P at SJTU

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Experimental

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.

No commits in the last 6 months.

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.

cloud-engineering virtualization serverless-computing distributed-machine-learning federated-learning-deployment
No License Stale 6m No Package No Dependents
Maintenance 0 / 25
Adoption 4 / 25
Maturity 8 / 25
Community 9 / 25

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Last pushed

May 24, 2022

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