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

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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Bibliographic Details
Main Authors: S. Sudheer Mangalampalli, Ganesh Reddy Karri, Pradeep Reddy Ch, Kiran Sree Pokkuluri, Prasun Chakrabarti, Tulika Chakrabarti
Format: Article
Language:English
Published: IEEE 2024-01-01
Series:IEEE Access
Subjects:
Workflow scheduling
cloud computing
consumption of energy
temperature
DQN
deep reinforcement learning
Online Access:https://ieeexplore.ieee.org/document/10740281/
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https://ieeexplore.ieee.org/document/10740281/

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