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024 7 $a10.1007/978-3-032-10507-3
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035   $a(DE-He213)978-3-032-10507-3
035   $a(EXLCZ)9944769965800041
100   $a20260102d2026      u|         0
101 0 $aeng
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181   $ctxt$2rdacontent
182   $cc$2rdamedia
183   $acr$2rdacarrier
200 10$aJob Scheduling Strategies for Parallel Processing $e28th International Workshop, JSSPP 2025, Milan, Italy, June 3?4, 2025, Revised Selected Papers /$fedited by Dalibor Klusá?ek, Julita Corbalán, Gonzalo P. Rodrigo
205   $a1st ed. 2026.
210  1$aCham :$cSpringer Nature Switzerland :$cImprint: Springer,$d2026.
215   $a1 online resource (466 pages)
225 1 $aLecture Notes in Computer Science,$x1611-3349 ;$v16210
311 08$a3-032-10506-4 
327   $a -- 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.
330   $aThis book constitutes the refereed proceedings of the 28th International Workshop on Job Scheduling Strategies for Parallel Processing, JSSPP 2025, held in Milan, Italy, during June 3-4, 2025. The 17 full papers and 1 keynote paper presented in this book were carefully reviewed and selected from 25 submissions. These papers covered interesting topics within the resource management and scheduling domains.
410  0$aLecture Notes in Computer Science,$x1611-3349 ;$v16210
606   $aSoftware engineering
606   $aArtificial intelligence
606   $aCoding theory
606   $aInformation theory
606   $aMicroprogramming
606   $aComputer input-output equipment
606   $aLogic design
606   $aSoftware Engineering
606   $aArtificial Intelligence
606   $aCoding and Information Theory
606   $aControl Structures and Microprogramming
606   $aInput/Output and Data Communications
606   $aLogic Design
615  0$aSoftware engineering.
615  0$aArtificial intelligence.
615  0$aCoding theory.
615  0$aInformation theory.
615  0$aMicroprogramming.
615  0$aComputer input-output equipment.
615  0$aLogic design.
615 14$aSoftware Engineering.
615 24$aArtificial Intelligence.
615 24$aCoding and Information Theory.
615 24$aControl Structures and Microprogramming.
615 24$aInput/Output and Data Communications.
615 24$aLogic Design.
676   $a005.1
700   $aKlusa?c?ek$b Dalibor$01275192
701   $aKlusá?ek$01885051
801  0$bMiAaPQ
801  1$bMiAaPQ
801  2$bMiAaPQ
906   $aBOOK
912   $a9911049207103321
996   $aJob Scheduling Strategies for Parallel Processing$94519882
997   $aUNINA