Real-time AI-powered monitoring for energy-efficient scheduling in multi-node heterogeneous systems

Rahmani, Taha Abdelazziz; Belalem, Ghalem; MAHMOUDI, Sidi; Merad-Boudia, Omar Rafik

doi:10.1016/j.future.2026.108428

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Article (Scientific journals)

Real-time AI-powered monitoring for energy-efficient scheduling in multi-node heterogeneous systems

Rahmani, Taha Abdelazziz; Belalem, Ghalem; MAHMOUDI, Sidi et al.

2026 • In Future Generation Computer Systems, 181, p. 108428

Peer Reviewed verified by ORBi

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https://hdl.handle.net/20.500.12907/55665

DOI
10.1016/j.future.2026.108428

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Disciplines :

Computer science

Author, co-author :

Rahmani, Taha Abdelazziz

Belalem, Ghalem

MAHMOUDI, Sidi ; Université de Mons - UMONS > Faculté Polytechnique > Service Informatique, Logiciel et Intelligence artificielle

Merad-Boudia, Omar Rafik

Language :

English

Title :

Real-time AI-powered monitoring for energy-efficient scheduling in multi-node heterogeneous systems

Publication date :

August 2026

Journal title :

Future Generation Computer Systems

ISSN :

0167-739X

eISSN :

1872-7115

Publisher :

Elsevier BV

Volume :

181

Pages :

108428

Peer reviewed :

Peer Reviewed verified by ORBi

Additional URL :

https://api.elsevier.com/content/article/PII:S0167739X26000622?httpAccept=text/xml

Research unit :

F114 - Informatique, Logiciel et Intelligence artificielle

Research institute :

R300 - Institut de Recherche en Technologies de l'Information et Sciences de l'Informatique
R450 - Institut NUMEDIART pour les Technologies des Arts Numériques

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since 02 March 2026

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