cluster_optimization | Course project of SJTU EE357

by gohsyi Python Version: Current License: No License

X-Ray Key Features Code Snippets Community Discussions Vulnerabilities Install Support

kandi X-RAY | cluster_optimization Summary

cluster_optimization is a Python library typically used in Institutions, Learning, Education applications. cluster_optimization has no bugs, it has no vulnerabilities and it has low support. However cluster_optimization build file is not available. You can download it from GitHub.

Course project of SJTU EE357: Computer Network, advised by Prof. Na Ruan. We implemented and improved "A Hierarchical Framework of Cloud Resource Allocation and Power Management using Deep Reinforcement Learning" and achieve a good trade-off between power usage and job latency.

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Quality

Security

License

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Support

cluster_optimization has a low active ecosystem.

It has 15 star(s) with 6 fork(s). There are 3 watchers for this library.

It had no major release in the last 6 months.

cluster_optimization has no issues reported. There are no pull requests.

It has a neutral sentiment in the developer community.

The latest version of cluster_optimization is current.

Quality

cluster_optimization has no bugs reported.

Security

cluster_optimization has no vulnerabilities reported, and its dependent libraries have no vulnerabilities reported.

License

cluster_optimization does not have a standard license declared.

Check the repository for any license declaration and review the terms closely.

Without a license, all rights are reserved, and you cannot use the library in your applications.

Reuse

cluster_optimization releases are not available. You will need to build from source code and install.

cluster_optimization has no build file. You will be need to create the build yourself to build the component from source.

Installation instructions are not available. Examples and code snippets are available.

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cluster_optimization Key Features

No Key Features are available at this moment for cluster_optimization.

cluster_optimization Examples and Code Snippets

No Code Snippets are available at this moment for cluster_optimization.

Community Discussions

No Community Discussions are available at this moment for cluster_optimization.Refer to stack overflow page for discussions.

Community Discussions, Code Snippets contain sources that include Stack Exchange Network

Vulnerabilities

No vulnerabilities reported

Install cluster_optimization

You can download it from GitHub.
You can use cluster_optimization like any standard Python library. You will need to make sure that you have a development environment consisting of a Python distribution including header files, a compiler, pip, and git installed. Make sure that your pip, setuptools, and wheel are up to date. When using pip it is generally recommended to install packages in a virtual environment to avoid changes to the system.

Support

For any new features, suggestions and bugs create an issue on GitHub. If you have any questions check and ask questions on community page Stack Overflow .

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