This project implements a genetic algorithm approach to solve the Resource-Constrained Project Scheduling Problem (SRCPSP), which is a well-known NP-hard optimization problem in operations research ...

Abstract: Scientific and data science applications are becoming more complex, with increasingly demanding computational and memory requirements during execution. Modern high performance computing (HPC ...

Abstract: Efficient real-time communication in Time-Sensitive Networking (TSN) relies on precise flow scheduling to meet stringent latency and reliability requirements. However, under the Cyclic ...

A comprehensive Python-based simulator for visualizing and comparing various CPU scheduling algorithms. This tool allows users to analyze algorithm performance based on key metrics like average ...

Most modern operating systems are designed to try to extract optimal performance from underlying hardware resources. This is achieved mainly by virtualization of the two main hardware resources: CPU ...