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Model-driven Cluster Resource Management for AI Workloads in Edge Clouds

Model-driven Cluster Resource Management for AI Workloads in Edge Clouds

ACM Transactions on Autonomous and Adaptive Systems (TAAS), 2022

18 January 2022

Walid A. Hanafy

Ahmed Ali-Eldin

Prashant J. Shenoy

ArXiv (abs)PDF HTML Github

Papers citing "Model-driven Cluster Resource Management for AI Workloads in Edge Clouds"

4 / 4 papers shown

Empowering Edge Intelligence: A Comprehensive Survey on On-Device AI Models

Empowering Edge Intelligence: A Comprehensive Survey on On-Device AI ModelsACM Computing Surveys (ACM Comput. Surv.), 2025

Tian-sheng Wang

474

115

0

08 Mar 2025

Edge AI: A Taxonomy, Systematic Review and Future Directions

Edge AI: A Taxonomy, Systematic Review and Future Directions

...

Félix Cuadrado

281

145

0

04 Jul 2024

Uncertainty Estimation in Multi-Agent Distributed Learning for
AI-Enabled Edge Devices

Uncertainty Estimation in Multi-Agent Distributed Learning for AI-Enabled Edge DevicesInternational Conference on Cloud Computing and Services Science (CLOSER), 2024

Gleb I. Radchenko

Victoria Andrea Fill

223

2

0

14 Mar 2024

Tail-Learning: Adaptive Learning Method for Mitigating Tail Latency in
Autonomous Edge Systems

Tail-Learning: Adaptive Learning Method for Mitigating Tail Latency in Autonomous Edge Systems

315

2

0

28 Dec 2023

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