vm-mad | Dynamically grow or shrink GridEngine clusters using cloud | Job Orchestrator library

by uzh Python Version: Current License: Apache-2.0

X-Ray Key Features Code Snippets Community Discussions(1)Vulnerabilities Install Support

kandi X-RAY | vm-mad Summary

vm-mad is a Python library typically used in Data Processing, Job Orchestrator applications. vm-mad 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.

Dynamically grow or shrink GridEngine clusters using cloud-based nodes

Support

Quality

Security

License

Reuse

Support

vm-mad has a low active ecosystem.

It has 3 star(s) with 2 fork(s). There are 21 watchers for this library.

It had no major release in the last 6 months.

There are 8 open issues and 14 have been closed. There are no pull requests.

It has a neutral sentiment in the developer community.

The latest version of vm-mad is current.

Quality

vm-mad has no bugs reported.

Security

vm-mad has no vulnerabilities reported, and its dependent libraries have no vulnerabilities reported.

License

vm-mad is licensed under the Apache-2.0 License. This license is Permissive.

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

Reuse

vm-mad 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.

Top functions reviewed by kandi - BETA

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

Use setuptools
Download and build setuptools
Build an egg
Creates fake setuptools package info
Download a setuptools package
Run the job
Parse the accounting file
Parses the QStat XML files
Return all jobs that have been submitted since last time
Yield jobs from the given time range
Updates the status of running jobs
Time of the simulation
Updates the status of a list of VMs
Convert libcloud status to a dict
Print the number of VMs to stdout
Install a tarball
Decorator for methods that can be used to setuptools
Download setuptools
Update cloud status
After install bootstrap

Get all kandi verified functions for this library.

vm-mad Key Features

No Key Features are available at this moment for vm-mad.

vm-mad Examples and Code Snippets

No Code Snippets are available at this moment for vm-mad.

Community Discussions

Trending Discussions on Job Orchestrator

Azure OPC Publisher says "no job received" when trying to write OPC UA data to cloud

QUESTION

Azure OPC Publisher says "no job received" when trying to write OPC UA data to cloud

Asked 2020-May-24 at 13:58

im trying to follow those tutorials:

https://sandervandevelde.wordpress.com/2018/11/06/getting-started-with-opc-ua-on-azure-iot-edge/ and https://docs.microsoft.com/en-us/azure/iot-accelerators/howto-opc-publisher-run

to bring data from an opc-ua server to the azure cloud.

I have already successfully played through the https://docs.microsoft.com/en-us/azure/iot-edge/quickstart tutorial.

I think maybe the OPCPublisher does not find the configuration file?!

I set up the configuration file under C:\iiotedge\pn.json (with changed ip):

...

ANSWER

Answered 2020-May-24 at 13:58

Was facing the same issue. It looks like the container is not running in appdata but in app. I've changed the createOptions to:

Source https://stackoverflow.com/questions/61938039

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

Vulnerabilities

No vulnerabilities reported

Install vm-mad

You can download it from GitHub.
You can use vm-mad 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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