An Energy and Temperature Aware Deep Reinforcement Learning Workflow Scheduler in Cloud Computing

Workflow Scheduling is a crucial challenge in cloud computing as different task dependencies involved in workflows which makes task scheduling process more complex and incurs huge energy consumption for Cloud Service Provider (CSP). Inefficient scheduling of workflows onto VMs without considering ru...

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Váldodahkkit:	S. Sudheer Mangalampalli, Ganesh Reddy Karri, Pradeep Reddy Ch, Kiran Sree Pokkuluri, Prasun Chakrabarti, Tulika Chakrabarti
Materiálatiipa:	Artigo
Giella:	Inglês
Almmustuhtton:	IEEE 2024-01-01
Ráidu:	IEEE Access
Fáttát:	Workflow scheduling cloud computing consumption of energy temperature DQN deep reinforcement learning
Liŋkkat:	https://ieeexplore.ieee.org/document/10740281/
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An Energy and Temperature Aware Deep Reinforcement Learning Workflow Scheduler in Cloud Computing

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