Job Scheduling Strategies for Parallel Processing

28th International Workshop, JSSPP 2025, Milan, Italy, June 3–4, 2025, Revised Selected Papers

AvDalibor Klusáček,Julita Corbalán

Häftad, Engelska, 2026

Del 16210 i serien Lecture Notes in Computer Science

935 kr

Beställningsvara. Skickas inom 10-15 vardagar. Fri frakt över 249 kr.

Beskrivning

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.

Produktinformation

Utgivningsdatum:2026-01-03
Mått:155 x 235 x 20 mm
Vikt:557 g
Format:Häftad
Språk:Engelska
Serie:Lecture Notes in Computer Science
Antal sidor:350
Förlag:Springer Nature Switzerland AG
ISBN:9783032105066

Utforska kategorier

Innehållsförteckning

.- 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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Job Scheduling Strategies for Parallel Processing

28th International Workshop, JSSPP 2025, Milan, Italy, June 3–4, 2025, Revised Selected Papers

AvDalibor Klusáček,Julita Corbalán

Häftad, Engelska, 2026

Del 16210 i serien Lecture Notes in Computer Science

935 kr

Beställningsvara. Skickas inom 10-15 vardagar. Fri frakt över 249 kr.

Beskrivning

Produktinformation

Utgivningsdatum:2026-01-03
Mått:155 x 235 x 20 mm
Vikt:557 g
Format:Häftad
Språk:Engelska
Serie:Lecture Notes in Computer Science
Antal sidor:350
Förlag:Springer Nature Switzerland AG
ISBN:9783032105066

Utforska kategorier

Innehållsförteckning

.- 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.