QoS aware deep reinforcement learning technique for task scheduling in cloud computing

Abstract As cloud computing continues to become more popular, efficient task scheduling on virtual machines has become fundamental to optimizing resource use, lowering expenses, and minimizing delays. Traditional scheduling algorithms (FCFS, SJF) fail to adapt to dynamic situations and complex task...

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Bibliografski detalji

Glavni autori:	Farheen Naaz, Ayes Chinmay, Anmol Pattanaik
Format:	Artigo
Jezik:	Inglês
Izdano:	Springer 2026-03-01
Serija:	Discover Computing
Teme:	DQN DRL LSTM Task scheduling Cloud computing QoS
Online pristup:	https://doi.org/10.1007/s10791-026-09996-w
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