Job Scheduling Strategies for Parallel Processing : 28th International Workshop, JSSPP 2025, Milan, Italy, June 3–4, 2025, Revised Selected Papers / / edited by Dalibor Klusáček, Julita Corbalán, Gonzalo P. Rodrigo

• Autore: Klusáĉek Dalibor
• Pubblicazione: Cham : , : Springer Nature Switzerland : , : Imprint : Springer, , 2026
• Edizione: 1st ed. 2026.
• Descrizione fisica: 1 online resource (466 pages)
• Disciplina: 005.1
• Soggetto topico: Software engineering; Artificial intelligence; Coding theory; Information theory; Microprogramming; Computer input-output equipment; Logic design; Software Engineering; Artificial Intelligence; Coding and Information Theory; Control Structures and Microprogramming; Input/Output and Data Communications; Logic Design
• Altri autori: Klusáček
• Nota di contenuto: -- How to make the ultimate goal of energy-efficient data centers a reality. -- Power-Aware Scheduling for Multi-Center HPC Electricity Cost Optimization. -- Job Grouping Based Intelligent Resource Prediction Framework. -- Kubernetes Scheduling with Checkpoint/Restore: Challenges and Open Problems. -- Adaptive Carbon-Aware scheduling policies for HPC systems. -- Resource elasticity for scientific platforms on HPC infrastructure. -- More for Less: Integrating Capability-Predominant and Capacity-Predominant Computing. -- Workflow Batch Job Scheduling with Considering Task Dependencies. -- Quality-Aware Energy-Efficient Scheduling of Moldable-Parallel Streaming Computations on Heterogeneous Multicore CPUs with DVFS. -- Optimizing Energy Efficiency in Heterogeneous Computing via Multi-Objective Scheduling with Reinforcement Learning. -- Static powercap vs. EAR hard-powercap: Performance evaluation. -- Deep RC: A Scalable Data Engineering and Deep Learning Pipeline. -- Fedsort: An Optimized Federated Scheduling Strategy for Cloud Workloads with Inter-task Dependencies. -- Evaluating the Impact of Algorithmic Components on Task Graph Scheduling. -- Communication-balanced Job Allocation using SLURM. -- Performance Models to support HPC Co-Scheduling. -- ELiSE: A tool to support algorithmic design for HPC co-scheduling. -- Deadline Miss Minimization Scheduling for License-Constrained CAE Jobs in Hybrid Cloud Infrastructure.
• Sommario/riassunto: This book constitutes the refereed proceedings of the 28th International Workshop on Job Scheduling Strategies for Parallel Processing, JSSPP 2025, held in Milan, Italy, during June 3-4, 2025. The 17 full papers and 1 keynote paper presented in this book were carefully reviewed and selected from 25 submissions. These papers covered interesting topics within the resource management and scheduling domains.
• Titolo autorizzato: Job Scheduling Strategies for Parallel Processing
• ISBN: 3-032-10507-2
• Formato: Materiale a stampa
• Livello bibliografico: Monografia
• Lingua di pubblicazione: Inglese
• Record Nr.: 9911049207103321
• Lo trovi qui: Univ. Federico II
• Serie: Lecture Notes in Computer Science, . 1611-3349 ; ; 16210