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Record Nr. |
UNINA9911049207103321 |
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Autore |
Klusáĉek Dalibor |
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Titolo |
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 |
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Pubbl/distr/stampa |
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Cham : , : Springer Nature Switzerland : , : Imprint : Springer, , 2026 |
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ISBN |
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Edizione |
[1st ed. 2026.] |
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Descrizione fisica |
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1 online resource (466 pages) |
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Collana |
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Lecture Notes in Computer Science, , 1611-3349 ; ; 16210 |
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Altri autori (Persone) |
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Disciplina |
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Soggetti |
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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 |
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Lingua di pubblicazione |
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Formato |
Materiale a stampa |
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Livello bibliografico |
Monografia |
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Nota di contenuto |
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-- 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 |
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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. |
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Sommario/riassunto |
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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. |
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