A tool that simplifies training RL agents for cloud resource management by bridging CloudSim Plus with Gymnasium
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Updated
Oct 10, 2024 - Java
A tool that simplifies training RL agents for cloud resource management by bridging CloudSim Plus with Gymnasium
This project simulates scheduling in a cloud computing environment using CloudSim. Multiple scheduling algorithms are implemented, allowing for flexibility in assigning tasks (cloudlets) to virtual machines (VMs).
State-of-the-art Framework 🏗 for Cloud Computing ⛅️ Simulation: a modern, full-featured, easier-to-use, highly extensible 🧩, faster 🚀 and more accurate ☕️ Java 17+ tool for cloud computing research 🎓. Examples: https://github.com/cloudsimplus/cloudsimplus-examples
CloudSim is primarily a simulation framework for modeling and simulating cloud computing infrastructures and services. While CloudSim itself does not include built-in machine learning capabilities, you can integrate machine learning techniques into CloudSim to optimize various aspects of cloud resource management.
Scheduling tasks using African Vulture Optimization Algorithm (AVOA) in iFogSim Simulator
Integrating machine learning techniques into CloudSim can significantly optimize various aspects of cloud resource management. CloudSim is a popular simulation tool for modeling and experimenting with cloud computing environments and services.
Task scheduling in cloud environment
PureEdgeSim: A simulation framework for performance evaluation of cloud, fog, and pure edge computing environments.
Academic Swarm and Evolutionary Computing Project (Fourth Year)
CloudSim Plus Examples: the start point to understand how to use the framework and create your own simulations
A Java 17+ tool for Human-Readable Scenario Specification and Automated Creation of Simulations on CloudSim and CloudSim Plus 🌥⚙️📄👨💻
CloudSimSDN is an SDN extension of CloudSim project to simulate Networking, SDN and SFC features in the context of edge and cloud data centers.
Environment for OpenAI Gym which can simulate an app deployed to a cloud environment.
py4j gateway for Cloud Sim Plus framework
[TMC'20] Deep Learning based Scheduler for Stochastic Fog-Cloud computing environments
A set of CPU utilization traces from PlanetLab VMs collected during 10 random days in March and April 2011 📝
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