workload-aware-k8s | Contains custom Kubernetes priority functions

by phip123 Python Version: Current License: MIT

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

kandi X-RAY | workload-aware-k8s Summary

workload-aware-k8s is a Python library. workload-aware-k8s has no bugs, it has no vulnerabilities, it has build file available, it has a Permissive License and it has low support. You can download it from GitHub.

This project was developed to create a workload-aware scheduler by implementing three priority functions that work with the Kubernetes scheduler. These target:.

Support

Quality

Security

License

Reuse

Support

workload-aware-k8s has a low active ecosystem.

It has 3 star(s) with 0 fork(s). There are 1 watchers for this library.

It had no major release in the last 6 months.

workload-aware-k8s has no issues reported. There are no pull requests.

It has a neutral sentiment in the developer community.

The latest version of workload-aware-k8s is current.

Quality

workload-aware-k8s has no bugs reported.

Security

workload-aware-k8s has no vulnerabilities reported, and its dependent libraries have no vulnerabilities reported.

License

workload-aware-k8s is licensed under the MIT License. This license is Permissive.

Permissive licenses have the least restrictions, and you can use them in most projects.

Reuse

workload-aware-k8s releases are not available. You will need to build from source code and install.

Build file is available. You can build the component from source.

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

Top functions reviewed by kandi - BETA

kandi has reviewed workload-aware-k8s and discovered the below as its top functions. This is intended to give you an instant insight into workload-aware-k8s implemented functionality, and help decide if they suit your requirements.

Create a random city
Collect nodes from the given list of nodes
Extract the model type from a device
Sample the execution time for a given image
Aggregate topology files
Read topology files
Preprocess topology results
Concatenate the results of the topology
Test settings for generating new devices
Generate random number of n random devices
Format a device
Run all of the configured deployments
Deploy a function
Calculate the requirements for each device
Setup the deployment
Return requirements for Xeon
Calculate the average score for a node
Generate random n random devices
Run a single run
A context manager
Execute batch experiments
Aggregate function for each topology
Yield replicas
Invoke a function asynchronously
Scheduler worker worker
Invoke a function
Aggregation aggregation function

Get all kandi verified functions for this library.

workload-aware-k8s Key Features

No Key Features are available at this moment for workload-aware-k8s.

workload-aware-k8s Examples and Code Snippets

No Code Snippets are available at this moment for workload-aware-k8s.

Community Discussions

No Community Discussions are available at this moment for workload-aware-k8s.Refer to stack overflow page for discussions.

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

Vulnerabilities

No vulnerabilities reported

Install workload-aware-k8s

You can download it from GitHub.
You can use workload-aware-k8s 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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