Title:	JOB SIMULATION FOR LARGE-SCALE PBS BASED CLUSTERS WITH THE MAUI SCHEDULER
Author(s):	Georg Zitzlsberger, Branislav Jansík and Jan Martinovic
ISBN:	978-989-8533-80-7
Editors:	Ajith P. Abraham, Jörg Roth and Guo Chao Peng
Year:	2018
Edition:	Single
Keywords:	High Performance Computing (HPC), Simulation, PBS, Maui Scheduler, Job Scheduling
Type:	Full Paper
First Page:	137
Last Page:	145
Language:	English
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Full Contents:	click to dowload
Paper Abstract:	For large-scale High Performance Computing centers with a wide range of different projects and heterogeneous infrastructures, efficiency is an important consideration. Understanding how compute jobs are scheduled is necessary for improving the job scheduling strategies in order to optimize cluster utilization and job wait times. This increases the importance of a reliable simulation capability, which in turn requires accuracy and comparability with historic workloads from the cluster. Not all job schedulers have a simulation capability, including the Portable Batch System (PBS) resource manager. Hence, PBS based centers have no direct way to simulate changes and optimizations before they are applied to the production system. We propose and discuss how to run job simulations for large-scale PBS based clusters with the Maui Scheduler. For validation purposes, we use historic workloads collected at the IT4Innovations supercomputing center, and demonstrate the viability of our approach. We are confident that our approach is also transferable to enable job simulations for other computing centers using PBS.
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