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This repository contains a collection of resources and papers on Diffusion Models for RL, accompanying the paper "Diffusion Models for Reinforcement Learning: A Survey"
Open-source benchmark suite for cloud microservices
Simulations about the algorithms of microservice placement with the goal of improving reliability.
An Integrated Platform for Accelerating Experiments in Microservice Research
The python code for paper "Multi-objective Deep Reinforcement Learning for Mobile Edge Computing"
The source code and experimental results of RSDQL.
VFCSIM is a simulation framework for simulate scenarios based on virtual functions, both on edge and cloud environments. The main novel aspects of the proposed framework are: (i) native support of …
This repository records link transmission data of eight cloud server nodes, including Beijing and Hong Kong in Asia, Paris and Frankfurt in Europe, Virginia, Oregon, and Mexico in South America, an…
ns3-gym - The Playground for Reinforcement Learning in Networking Research
A PyTorch library for all things Reinforcement Learning (RL) for Combinatorial Optimization (CO)
Virne is a simulator for resource allocation problems in network virtualization, mainly for virtual network embedding (VNE). It also is adaptable to VNE's variants, such as service function chain d…
scalable vnf placement algorithm (laboratory research)
Accompanying code for the 2019 CNSM paper "Predicting VNF Deployment Decisions under Dynamically Changing Network Conditions".
A declarative prototype to solve the VNF placement in Cloud-Edge scenarios.
particle swarm optimization for vnf placement problem
Placement of vEPC VNFs in a metro network
Virtual Network Function Co-located Interference-Aware Placement Algorithm made by Hycdes Mactavish
This is a paper list about Resource Allocation in Network Functions Virtualization (NFV) and Software-Defined Networking (SDN).
Specification, Composition, and Placement of Network Services with Flexible Structures
A generator for constructing dynamic network topology. This generator can support routing or transport research on network topology with high mobility, such as satellite networks.
An experimental platform for federated learning.
OpenAI Baselines: high-quality implementations of reinforcement learning algorithms