Cloud computing has revolutionised the way computational resources are accessed, providing scalable, on‐demand services that underpin a myriad of modern applications. Central to this paradigm is task ...
This repository contains Python implementations of key operating system algorithms: process scheduling, synchronization, deadlock avoidance, page replacement, producer-consumer, and disk scheduling.
All major OS algorithms simulated successfully. Numerical examples and calculators integrated. Quizzes with timers and scoring. Feedback and discussion forum to support interactive learning.
Scheduling algorithms lie at the heart of manufacturing systems optimisation by determining the order and allocation of tasks to resources. Their development is crucial for minimising production times ...
Most high-performance embedded systems do not need an expensive and full-functionality real-time operating system (RTOS). A dedicated scheduler such as those used in arbitration processes and traffic ...
In this paper we introduce two general techniques for the design and analysis of approximation algorithms for NP-hard scheduling problems in which the objective is to minimize the weighted sum of the ...
Some results have been hidden because they may be inaccessible to you
Show inaccessible results