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Scalable compute continuum

delete2025-05-01
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PRE
AI
V
Valeria Cardellini
P
Patrizio Dazzi
G
Gabriele Mencagli
M
Matteo Nardelli *
M
Massimo Torquati
DOI:10.1016/j.future.2024.107697delete
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摘要

摘要

En 中文
The Compute Continuum paradigm addresses the challenges of heterogeneous and dynamic computing resources, facilitating distributed application execution while enhancing data locality, performance, availability, adaptability, and energy efficiency. By integrating IoT, edge, and cloud resources into a cohesive continuum, applications can operate closer to data sources and end users. This approach supports refined adaptation strategies tailored to specific infrastructure components, enabling reduced latency, optimized bandwidth use, and improved privacy. To fully realize the Compute Continuum's potential, autonomous and proactive management is essential, leveraging interdisciplinary methods from optimization theory, control theory, machine learning, and artificial intelligence. This special issue highlights advancements in three key areas: resource characterization and scheduling, middleware for application deployment and reconfiguration, and applications in the Compute Continuum. These contributions highlight innovative solutions for resource optimization, dynamic management, and real-world implementations, showcasing the potential of the Compute Continuum to revolutionize distributed computing across diverse domains.

期刊

F
Future Generation Computer Systems-The International Journal of eScience
IF:
6.1
论文数:
6.9K
被引数:
2.3W

机构

E
European Central Bank
学者数:
1.2K
论文数: 1.3K
被引数: 727
U
University of Pisa
学者数:
3.1W
论文数: 2.4W
被引数: 2.4W
U
University of Rome Tor Vergata
学者数:
2.5W
论文数: 1.8W
被引数: 2.0W
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Equilibrium in the Computing Continuum through Active Inference
err2024-11-01
err6
errOAAI
errSedlak, Boris; Pujol, Victor Casamayor; Donta, Praveen Kumar; Dustdar, Schahram
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