DynamicVMP / dynamic-vmp-framework
[DEPRECATED] Simulation Framework for Virtual Machine Placement in Cloud Computing Environments. [CURRENT]: https://github.com/SDDCVMP/VMP-framework
☆10Updated 3 years ago
Related projects ⓘ
Alternatives and complementary repositories for dynamic-vmp-framework
- We open sourced the code of our team’s paper ‘Q-learning based Dynamic task scheduling for energy efficient cloud computing’, so as to fa…☆19Updated 3 years ago
- Deep Q Network model for two stage resource provisioning and task scheduling for Cloud computing☆70Updated 4 years ago
- A Comparative Study Between Heuristic Task Scheduling and Optimization-Based Algorithms in Cloud Computing Environments☆32Updated last year
- 基于强化学习的云计算虚拟机放置☆17Updated 5 years ago
- Implementation of RL in the cloud for energy minimization due to migration and excess power consumption.☆28Updated 9 months ago
- Implementation of Greedy Particle Swarm Optimization, HSGA and Hybrid(GA+PSO) for the purpose of Task Scheduling in cloud computing envir…☆28Updated 2 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☆50Updated 4 years ago
- A Mobile edge computing server placement algorithm, written from scratch for 5g server placement depending upon various KPIs across a ar…☆12Updated 2 years ago
- Task Scheduler based on Reinforcement Learning (RL) that allocates re-routing computation into the appropriate network element (edge nod…☆18Updated 3 years ago
- This is the JAVA code of algorithm ROSA, and the corresponding paper is published by IEEE Trans. on Services Computing. The title of the …☆18Updated 6 years ago
- PureEdgeSim Extension☆17Updated 2 years ago
- ☆39Updated 3 years ago
- A real-time workflow scheduling system in a cloud computing environment with a deep reinforcement learning approach☆23Updated 2 years ago
- (Code) Multi-objective Sparrow Search Optimization for Task Scheduling in Fog-Cloud-Blockchain Systems☆18Updated last year
- Using cloudsim to complete intelligent scheduling of cloud computing tasks☆16Updated 5 years ago
- Some classical edge server placement algorithms are implemented.☆23Updated 2 years ago
- DeepCoord: Self-Learning Network and Service Coordination Using Deep Reinforcement Learning☆26Updated last year
- Cloud task scheduling optimization in CloudSim framework using heuristic and metaheuristic algorithms☆25Updated 2 years ago
- Cloud computing task scheduling algorithm for single and multi-objective optimization, using Cloudsim 5.0 simulation.☆13Updated last year
- ☆12Updated 3 years ago
- The implementations of paper "Energy and Performance-Aware Task Scheduling in a Mobile Cloud Computing Environment"☆12Updated 11 months ago
- ☆12Updated 3 years ago
- This is the code for the paper published in IEEE Cloud Computing 2022☆12Updated 2 years ago
- Course project of SJTU EE357: Computer Network, advised by Prof. Na Ruan. We implemented and improved "A Hierarchical Framework of Cloud …☆33Updated 5 years ago
- [TMC'20] Deep Learning based Scheduler for Stochastic Fog-Cloud computing environments☆105Updated last year
- RayCloudSim: A Simulator Written in Python for Cloud, Fog, or Edge Computing☆65Updated 3 weeks ago
- ☆16Updated 6 years ago
- Flexible resource allocation for edge cloud computing with reinforcement learning☆33Updated 4 years ago
- ☆28Updated 2 years ago
- Optimal placement of edge servers using K-means Clustering and Power allocation using Particle Swarm Optimization☆12Updated 3 years ago