Priority-Based Scheduling and Orchestration in Edge-Cloud Computing: A Deep Reinforcement Learning-Enhanced Concurrency Control Approach

The exponential growth of Internet of Things (IoT) devices has created unprecedented challenges in data processing and resource management for time-critical applications. Traditional cloud computing paradigms cannot meet the ... | Find, read and cite all the research you need on Tech Science Press

Authors

Publication Details

Journal
Computer Modeling in Engineering & Sciences
Published
2025-01-01
DOI
https://doi.org/10.32604/cmes.2025.070004
Primary Topic
IoT and Edge/Fog Computing
Type
article
Field-Weighted Citation Impact
0.00

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article

Priority-Based Scheduling and Orchestration in Edge-Cloud Computing: A Deep Reinforcement Learning-Enhanced Concurrency Control Approach

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Computer Modeling in Engineering & Sciences
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Priority-Based Scheduling and Orchestration in Edge-Cloud Computing: A Deep Reinforcement Learning-Enhanced Concurrency Control Approach

Ahmad Al–Qerem, Amina Salhi, Suhaila Abuowaida, Mohammad Al Khaldy, Mohammad Alauthman, Ahmad Nabot, Naceur Chihaoui
article en

Abstract

The exponential growth of Internet of Things (IoT) devices has created unprecedented challenges in data processing and resource management for time-critical applications. Traditional cloud computing paradigms cannot meet the ... | Find, read and cite all the research you need on Tech Science Press

Computer Modeling in Engineering & SciencesVol. 145(1)
Princess Nourah Bint Abdulrahman University
Openalex Percentile: Top 63%
IoT and Edge/Fog Computing
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