Overview

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.

Full Product Details

Author:   Dalibor Klusáček ,  Julita Corbalán ,  Gonzalo P. Rodrigo
Publisher:   Springer Nature Switzerland AG
Imprint:   Springer Nature Switzerland AG
ISBN:  

9783032105066

ISBN 10:   3032105064
Pages:   350
Publication Date:   26 January 2026
Audience:   College/higher education ,  Professional and scholarly ,  Postgraduate, Research & Scholarly ,  Professional & Vocational
Format:   Paperback
Publisher's Status:   Forthcoming
Availability:   Not yet available  
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Table of Contents

.- 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.

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