[TPDS'21] COSCO: Container Orchestration using Co-Simulation and Gradient Based Optimization for Fog Computing Environments
☆95Sep 26, 2023Updated 2 years ago
Alternatives and similar repositories for COSCO
Users that are interested in COSCO are comparing it to the libraries listed below. We may earn a commission when you buy through links labeled 'Ad' on this page.
Sorting:
- [TMC'22] SplitPlace: AI Augmented Splitting and Placement of Large-Scale Neural Networks in Mobile Edge Environments☆22Dec 8, 2022Updated 3 years ago
- [TMC'20] Deep Learning based Scheduler for Stochastic Fog-Cloud computing environments☆126Dec 6, 2022Updated 3 years ago
- [CLOUD'22] Learning to Dynamically Select the Optimal Scheduler in Cloud Computing Environments☆14May 25, 2022Updated 4 years ago
- AI Augmented Workflow Scheduling in Mobile Edge Cloud Computing Systems☆11Oct 19, 2021Updated 4 years ago
- [Infocom'22] Preemptive Migration Prediction Network for Proactive Fault Tolerant Edge Computing☆43May 11, 2024Updated 2 years ago
- Bare Metal GPUs on DigitalOcean Gradient AI • AdPurpose-built for serious AI teams training foundational models, running large-scale inference, and pushing the boundaries of what's possible.
- ☆13Dec 18, 2020Updated 5 years ago
- The source code and experimental results of RSDQL.☆28Mar 14, 2022Updated 4 years ago
- [TMC’23] Preemptive Migration Prediction Network for Proactive Fault Tolerant Edge Computing☆11Sep 25, 2023Updated 2 years ago
- py4j gateway for Cloud Sim Plus framework☆22Aug 14, 2023Updated 2 years ago
- PureEdgeSim: A simulation framework for performance evaluation of cloud, fog, and pure edge computing environments.☆218May 4, 2026Updated 2 months ago
- a deep learning-driven scheduler for elastic training in deep learning clusters☆31Jan 14, 2021Updated 5 years ago
- ☆22Oct 2, 2021Updated 4 years ago
- Thesis in Federated Learning using an Edge/Cloud Computing architecture☆10Feb 26, 2021Updated 5 years ago
- Our VMAgent is a platform for exploiting Reinforcement Learning (RL) on Virtual Machine (VM) scheduling tasks.☆98Apr 27, 2023Updated 3 years ago
- GPUs on demand by Runpod - Special Offer Available • AdRun AI, ML, and HPC workloads on powerful cloud GPUs—without limits or wasted spend. Deploy GPUs in under a minute and pay by the second.
- The code for paper titled "Dependency-Aware-Computation-Offloading-for-Mobile-Edge-Computing-with-Edge-Cloud-Cooperation"☆70Oct 31, 2020Updated 5 years ago
- MEC，Edge service, Edge Application, Service Computing.☆69May 25, 2022Updated 4 years ago
- multi-workflow scheduling☆15Dec 30, 2021Updated 4 years ago
- This is the code for the paper published in IEEE Cloud Computing 2022☆12Jul 22, 2022Updated 3 years ago
- [RSS '20] Code repository for learning common sense knowledge for robot task planning. Contains simulation environment, data sets and mod…☆19Dec 8, 2022Updated 3 years ago
- A real-time workflow scheduling system in a cloud computing environment with a deep reinforcement learning approach☆29May 13, 2022Updated 4 years ago
- Synthetic workflow generators☆43Aug 19, 2020Updated 5 years ago
- This is the repository for the Function-as-a-service simulator (FaasSim) developed to evaluate different FaaS platform configurations.☆11Jan 23, 2022Updated 4 years ago
- An Environment for Simulation and Performance Evaluation of Workflows in Fog Computing☆80Aug 22, 2023Updated 2 years ago
- Virtual machines for every use case on DigitalOcean • AdGet dependable uptime with 99.99% SLA, simple security tools, and predictable monthly pricing with DigitalOcean's virtual machines, called Droplets.
- A Toolkit to simulate distributed fog computing environment☆20Jan 6, 2019Updated 7 years ago
- ☆40May 5, 2021Updated 5 years ago
- Using Kubernetes for Fog Computing☆38Dec 15, 2025Updated 6 months ago
- Simulator and datasets to research on carbon-aware temporal workload shifting.☆25Nov 13, 2023Updated 2 years ago
- SYMBXRL: Symbolic Explainable Deep Reinforcement Learning for Mobile Networks☆22Apr 1, 2026Updated 3 months ago
- Deep Reinforcement Learning for Online Computation Offloading in Wireless Powered Mobile-Edge Computing Networks☆674Oct 28, 2021Updated 4 years ago
- ☆47Jan 18, 2021Updated 5 years ago
- Lyapunov-guided Deep Reinforcement Learning for Stable Online Computation Offloading in Mobile-Edge Computing Networks☆303Apr 10, 2025Updated last year
- The python code for paper "Multi-objective Deep Reinforcement Learning for Mobile Edge Computing"☆127Jul 4, 2023Updated 3 years ago
- End-to-end encrypted cloud storage - Proton Drive • AdSpecial offer: 40% Off Yearly / 80% Off First Month. Protect your most important files, photos, and documents from prying eyes.
- RayCloudSim: A Simulator Written in Python for Cloud, Fog, or Edge Computing☆97Apr 13, 2026Updated 2 months ago
- FogBus2: A Lightweight and Distributed Container-based Framework for Integration of IoT-enabled Systems with Edge and Cloud Computing☆31Aug 4, 2025Updated 11 months ago
- ☆165Dec 1, 2021Updated 4 years ago
- Deep Q Network model for two stage resource provisioning and task scheduling for Cloud computing☆99Sep 21, 2020Updated 5 years ago
- Deep reinforcement learning for REsource Allocation in streaM processing☆30Apr 30, 2023Updated 3 years ago
- Code of Paper "Joint Task Offloading and Resource Optimization in NOMA-based Vehicular Edge Computing: A Game-Theoretic DRL Approach", JS…☆361Jul 10, 2023Updated 2 years ago
- This is a fog computing framework consisting of fog node application, cloud application and user application.☆14Jun 22, 2018Updated 8 years ago