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In this extended abstract, we describe our work, as part of the NEXTGenIO project, around system-wide monitoring of workloads and I/O on large HPC systems. Several factors mean that monitoring at this level is a difficult problem: there should be little or no performance limiting overhead associated with monitoring; the system consists of a multitude of components, which each have different monitoring interfaces; and the large number of users, jobs and applications means that the amount of data that is collected from monitoring is not trivial. In this abstract, we describe how we aim to address this challenge in NEXTGenIO.
|Publication status||Published - 29 Apr 2016|
|Event||4th International Exascale Applications and Software (EASC) - Stockholm City Conference Centre, Stockholm, Sweden|
Duration: 25 Apr 2016 → 29 Apr 2016
|Conference||4th International Exascale Applications and Software (EASC)|
|Period||25/04/16 → 29/04/16|