Abstract: In cloud computing environments, task scheduling problem is still considered an important issue as it plays an efficient role for achieving the required performance in terms of makespan and ...

Abstract: Heterogeneous multicore systems, such as ARM's big.LITTLE architecture requires efficient task scheduling to balance deadline misses, energy consumption, and throughput. Traditional methods ...

A comprehensive CPU scheduling simulator that implements and compares various scheduling algorithms. This educational tool helps visualize how different CPU scheduling algorithms work and their ...

China Energy Engineering Guangxi Electric Power Design Institute Co., ltd, Nanning, China The final, formatted version of the article will be published soon. The integration of large-scale renewable ...

Research-ready implementation of reinforcement learning algorithms for job scheduling optimization. This project demonstrates state-of-the-art RL techniques applied to realistic scheduling problems ...

AI can help hiring teams handle volume, but AI bias in hiring algorithms can quietly block careers when proxies and past patterns go unchecked ...

Quantum computing in 2026 still isn't a faster laptop. It doesn't make email snappier, and it won't speed up spreadsheets.

What is quantum computing, really? We explain qubits, superposition, and the quantum threat to encryption — in plain English, with no PhD required.