Abstract is missing.
- Resampling with Feedback: A New Paradigm of Using Workload Data for Performance Evaluation - (Extended Version)Dror G. Feitelson. 3-32 [doi]
- Collection of Job Scheduling Prediction MethodsMehmet Soysal, Achim Streit. 35-42 [doi]
- Modular Workload Format: Extending SWF for Modular SystemsJulita Corbalán, Marco D'Amico. 43-55 [doi]
- Measurement and Modeling of Performance of HPC Applications Towards Overcommitting Scheduling SystemsShohei Minami, Toshio Endo, Akihiro Nomura 0002. 59-79 [doi]
- Scheduling Microservice Containers on Large Core Machines Through Placement and CoalescingVishal Rao, Vishnu Singh, K. S. Goutham, Bharani Ujjaini Kempaiah, Ruben John Mampilli, Subramaniam Kalambur, Dinkar Sitaram. 80-100 [doi]
- Learning-Based Approaches to Estimate Job Wait Time in HTC DatacentersLuc Gombert, Frédéric Suter. 101-125 [doi]
- A HPC Co-scheduler with Reinforcement LearningAbel Souza, Kristiaan Pelckmans, Johan Tordsson. 126-148 [doi]
- Performance-Cost Optimization of Moldable Scientific WorkflowsMarta Jaros, Jirí Jaros. 149-167 [doi]
- Temperature-Aware Energy-Optimal Scheduling of Moldable Streaming Tasks onto 2D-Mesh-Based Many-Core CPUs with DVFSChristoph W. Kessler, Jörg Keller 0001, Sebastian Litzinger. 168-189 [doi]
- Scheduling Challenges for Variable Capacity ResourcesChaojie Zhang, Andrew A. Chien. 190-209 [doi]
- GLUME: A Strategy for Reducing Workflow Execution Times on Batch-Scheduled PlatformsEvan Hataishi, Pierre-François Dutot, Rafael Ferreira da Silva, Henri Casanova. 210-230 [doi]