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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| Autori principali: | , , |
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| Natura: | Artigo |
| Lingua: | Inglês |
| Pubblicazione: |
Springer
2026-03-01
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| Serie: | Discover Computing |
| Soggetti: | |
| Accesso online: | https://doi.org/10.1007/s10791-026-09996-w |
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