Job Scheduling Strategies for Parallel Processing [electronic resource] : 25th International Workshop, JSSPP 2022, Virtual Event, June 3, 2022, Revised Selected Papers / edited by Dalibor Klusáček, Corbalán Julita, Gonzalo P. Rodrigo.

Insights and Requirements for Future Workflow Scheduling -- Technical papers -- On the Feasibility of Simulation-driven Portfolio Scheduling for Cyberinfrastructure Runtime Systems -- AI-Job Scheduling on Systems with Renewable Power Sources -- Toward Building a Digital Twin of Job Scheduling and Power Management on an HPC System -- Encoding for Reinforcement Learning Driven Scheduling -- RADICAL-Pilot and PMIx/PRRTE: Executing heterogeneous workloads at large scale on partitioned HPC resources -- RARE: Renewable Energy Aware Resource Management in Datacenters -- Dynamic Management of CPU Resources Towards Energy Efficient and Profitable Datacentre Operation -- Optimization of Execution Parameters of Moldable Ultrasound Workflows under Incomplete Performance Data -- Scheduling of Elastic Message Passing Applications on HPC Systems -- Improving Accuracy of Walltime Estimates in PBS Professional using Soft Walltimes -- Re-making the Movie-making Machine -- Open Scheduling Problems -- Using Kubernetes in Academic Environment: Problems and Approaches.

This book constitutes the thoroughly refereed post-conference proceedings of the 25th International Workshop on Job Scheduling Strategies for Parallel Processing, JSSPP 2022, held as a virtual event in June 2022 (due to the Covid-19 pandemic). The 12 revised full papers presented were carefully reviewed and selected from 19 submissions. In addition to this,1 keynote paper was included in the workshop. The volume contains two sections: Technical papers and Open Scheduling Problems.