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[null,"1.","Record Nr.",null,"UNINA9911049207103321"]
[null,null,"Autore",null,"Klusáĉek Dalibor"]
[null,null,"Titolo",null,"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"]
[null,null,"Pubbl/distr/stampa",null,"Cham : , : Springer Nature Switzerland : , : Imprint : Springer, , 2026"]
[null,null,"ISBN",null,"3-032-10507-2"]
[null,null,"Edizione",null,"[1st ed. 2026.]"]
[null,null,"Descrizione fisica",null,"1 online resource (466 pages)"]
[null,null,"Collana",null,"Lecture Notes in Computer Science, , 1611-3349 ; ; 16210"]
[null,null,"Disciplina",null,"005.1"]
[null,null,"Soggetti",null,"Software engineering"]
[{"$nulls":4},"Artificial intelligence"]
[{"$nulls":4},"Coding theory"]
[{"$nulls":4},"Information theory"]
[{"$nulls":4},"Microprogramming"]
[{"$nulls":4},"Computer input-output equipment"]
[{"$nulls":4},"Logic design"]
[{"$nulls":4},"Software Engineering"]
[{"$nulls":4},"Artificial Intelligence"]
[{"$nulls":4},"Coding and Information Theory"]
[{"$nulls":4},"Control Structures and Microprogramming"]
[{"$nulls":4},"Input/Output and Data Communications"]
[{"$nulls":4},"Logic Design"]
[null,null,"Lingua di pubblicazione",null,"Inglese"]
[null,null,"Formato",null,"Materiale a stampa"]
[null,null,null,"Livello bibliografico","Monografia"]
[null,null,"Nota di contenuto",null,"-- 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 "]
[{"$nulls":4},"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."]
[null,null,null,"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."]