oncall VS VMAgent

Compare oncall vs VMAgent and see what are their differences.

oncall

Oncall is a calendar tool designed for scheduling and managing on-call shifts. It can be used as source of dynamic ownership info for paging systems like http://iris.claims. (by linkedin)

VMAgent

Our VMAgent is a platform for exploiting Reinforcement Learning (RL) on Virtual Machine (VM) scheduling tasks. (by mail-ecnu)
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oncall VMAgent
1 1
1,106 75
1.3% -
5.7 1.4
24 days ago about 1 year ago
Python Python
BSD 2-clause "Simplified" License MIT License
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oncall

Posts with mentions or reviews of oncall. We have used some of these posts to build our list of alternatives and similar projects.

VMAgent

Posts with mentions or reviews of VMAgent. We have used some of these posts to build our list of alternatives and similar projects.
  • Huawei Research Introduces ‘VMAgent’: A Platform for Exploiting Reinforcement Learning (RL) on Virtual Machine (VM) Scheduling Tasks
    1 project | /r/reinforcementlearning | 20 Dec 2021
    In a recent study, researchers from Huawei Cloud’s Multi-Agent Artificial Intelligence Lab and Algorithm Innovation Lab suggested VMAgent, a unique VM scheduling simulator based on real data from Huawei Cloud’s actual operation situations. VMAgent seeks to replicate the scheduling of virtual machine requests across many servers (allocating and releasing CPU and memory resources). It creates virtual machine scheduling scenarios using real-world system design, such as fading, recovering, and expanding virtual machines. Only requests can be allocated in the fading situation, whereas the recovering scenario permits both allocating and releasing VM resources.

What are some alternatives?

When comparing oncall and VMAgent you can also consider the following projects:

ecs-deploy - Powerful CLI tool to simplify Amazon ECS deployments, rollbacks & scaling

garage - A toolkit for reproducible reinforcement learning research.

oncall - Developer-friendly incident response with brilliant Slack integration

agents - TF-Agents: A reliable, scalable and easy to use TensorFlow library for Contextual Bandits and Reinforcement Learning.

pretalx - Conference planning tool: CfP, scheduling, speaker management

coo - Schedule Twitter updates with easy

Spurwing-API-Python-Library - Python library for Spurwing API to schedule appointments, manage calendars and custom integrations.

luigi - Luigi is a Python module that helps you build complex pipelines of batch jobs. It handles dependency resolution, workflow management, visualization etc. It also comes with Hadoop support built in.

maro - Multi-Agent Resource Optimization (MARO) platform is an instance of Reinforcement Learning as a Service (RaaS) for real-world resource optimization problems.