A tool that simplifies training RL agents for cloud resource management by bridging CloudSim Plus with Gymnasium
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Updated
Nov 8, 2024 - Java
A tool that simplifies training RL agents for cloud resource management by bridging CloudSim Plus with Gymnasium
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 Plus Examples: the start point to understand how to use the framework and create your own simulations
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.
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).
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Task scheduling in cloud environment
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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.
py4j gateway for Cloud Sim Plus framework
[TMC'20] Deep Learning based Scheduler for Stochastic Fog-Cloud computing environments
Cloud task scheduling optimization in CloudSim framework using heuristic and metaheuristic algorithms
Task scheduling using Weighted Active Monitoring Load Distribution technique.
IoTSim-Blockchain - a toolkit for simulation and modelling of Blockchain-backed IoT networks. It has been produced for a bachelors dissertation project. Written entirely in Java.
A pure Maven project to simulate cloud infrastructures with CloudSim framework.
A cloud simulation library based on cloudsim, it aims to provide all known cloud scheduling algorithms with the help from community developers, as well as automate various simulation scenarios.
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