BiswajitPadhi99 / predicting-cloud-CPU-utilization-on-Azure-dataset-using-deeplearningLinks
Many companies are utilizing the cloud for their day to day activities. Many big cloud service providers like AWS, Microsoft Azure have been success-fully serving its increasing customer base. A brief understanding of the char-acteristics of production virtual machine (VM) workloads of large cloud pro-viders can inform the providers resource man…
☆26Updated 5 years ago
Alternatives and similar repositories for predicting-cloud-CPU-utilization-on-Azure-dataset-using-deeplearning
Users that are interested in predicting-cloud-CPU-utilization-on-Azure-dataset-using-deeplearning are comparing it to the libraries listed below
Sorting:
- Many companies are utilizing the cloud for their day to day activities. Many big cloud service providers like AWS, Microsoft Azure have b…☆11Updated 3 years ago
- By learning and using prediction for failures, it is one of the important steps to improve the reliability of the cloud computing system.…☆16Updated 2 years ago
- Through this project we have comprehensively evaluated 10 workload predictors and determined which predictor works the best for Alibaba C…☆12Updated 7 years ago
- Implementation of RL in the cloud for energy minimization due to migration and excess power consumption.☆29Updated last year
- ☆19Updated 2 years ago
- [TMC'20] Deep Learning based Scheduler for Stochastic Fog-Cloud computing environments☆125Updated 3 years ago
- [TPDS'21] COSCO: Container Orchestration using Co-Simulation and Gradient Based Optimization for Fog Computing Environments☆92Updated 2 years ago
- PPIO workload prediction framework code☆22Updated last year
- ☆12Updated 11 months ago
- Joint microservice deployment and request routing based on reinforcement learning.☆14Updated last year
- Course project of SJTU EE357: Computer Network, advised by Prof. Na Ruan. We implemented and improved "A Hierarchical Framework of Cloud …☆37Updated 6 years ago
- Implementation of our paper "Wasserstein Adversarial Transformer for Cloud Workload Prediction"☆34Updated 4 years ago
- Resource Management with DeepRL using TF Agents☆15Updated 5 years ago
- Deep Q Network model for two stage resource provisioning and task scheduling for Cloud computing☆96Updated 5 years ago
- 基于强化学习的云计算虚拟机放置☆18Updated 6 years ago
- Zuox99 / Deep-Reinforcement-Learning-Based-Resource-Provisioning-and-Task-Scheduling-for-Cloud-Service-ProvidProject: Deep Reinforcement Learning Based Resource Provisioning and Task Scheduling for Cloud Service Providers☆60Updated 5 years ago
- [Infocom'22] Preemptive Migration Prediction Network for Proactive Fault Tolerant Edge Computing☆44Updated last year
- MEC,Edge service, Edge Application, Service Computing.☆66Updated 3 years ago
- [CLOUD'22] Learning to Dynamically Select the Optimal Scheduler in Cloud Computing Environments☆14Updated 3 years ago
- A resource allocation application using machine learning technique assisted by cloud computing implemented in Python☆23Updated 3 years ago
- 基于深度强化学习的资源调度研究☆90Updated 7 years ago
- Edge caching simulator☆18Updated 4 years ago
- The source code and experimental results of RSDQL.☆28Updated 3 years ago
- Deep reinforcement learning-based replacement strategy for content caching.☆65Updated 3 years ago
- A real-time workflow scheduling system in a cloud computing environment with a deep reinforcement learning approach☆28Updated 3 years ago
- ☆17Updated 5 years ago
- PBScaler: A Bottleneck-aware Autoscaling Framework for Microservice-based Applications☆26Updated last year
- LSTM and ARIMA for network traffic prediction (Christoph Kaiser's MA)☆39Updated 5 years ago
- 北京化工大学本科毕业设计《基于深度强化学习的云工作流调度》☆65Updated 3 years ago
- The code for the paper task merging and scheduling for parallel deep learning applications in mobile edge computing☆26Updated 5 years ago