HPC Resource Allocation System
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Updated
Jul 11, 2024 - Python
HPC Resource Allocation System
Microsoft's open source max-min fair solver for cluster scheduling and traffic engineering
Attempt to reimplement the VTC2023-Spring 'Deep Reinforcement Learning-Based Resource Allocation for Cellular V2X Communications' paper
Optimization tool for resource allocation of medical specialists in a hospital
pytest plugin for lockable resources
Clustering and resource allocation using Deterministic Annealing Approach and Orthogonal Non-negative Matrix Factorization O-(NMF)
Implementation of consistent hashing
Code of Paper "Joint Task Offloading and Resource Optimization in NOMA-based Vehicular Edge Computing: A Game-Theoretic DRL Approach", JSA 2022.
Programming interface to resource allocation modelling with the Resource Balance Analysis (RBA) method. This is version 1.0.3
solving knapsack problem using Ant Colony Optimization (ACO) algorithm
Virtual Network Functions Chains placement optimization taking into account Resource Fragmentation and Defragmentation in the Cloud.
Desision making coursework. Resource allocation task with department constraints. Dynamic Programming.
Implementation of branch and bound initially written for the Imperial COMP70068 Scheduling and Resource Allocation coursework
Simulator of experiments presented in "Enabling Long-term Fairness in Dynamic Resource Allocation", ACM SIGMETRICS 2023.
Code for IEEE MLSP 2021 paper titled "Model-Free Learning of Optimal Deterministic Resource Allocations in Wireless Systems via Action-Space Exploration"
Simulated the scenario between edge servers and users with a clear graphic interface. Also, implemented the continuous control with Deep Deterministic Policy Gradient (DDPG) to determine the resources allocation (offload targets, computational resources, migration bandwidth) in the edge servers
Algorithm to resolve the resource allocation of the DECSI/UFOP
(Caveats! Dirty Code!!) Solving some Non-Orthogonal Multiple Access (NOMA) resource allocation problem, allocating Tx power properly at downlink to maximize the sum rate, by using DQN
Simulation framework for autonomous vehicle formation and assignment
Code for our paper on doing resource allocation with graph neural networks
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