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May 8 – 12, 2023
Norfolk Waterside Marriott
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JIRIAF: JLAB Integrated Research Infrastructure Across Facilities

May 9, 2023, 12:00 PM
Marriott Ballroom II-III (Norfolk Waterside Marriott)

Marriott Ballroom II-III

Norfolk Waterside Marriott

235 East Main Street Norfolk, VA 23510
Oral Track 4 - Distributed Computing Track 4 - Distributed Computing


Gyurjyan, Vardan (Jefferson Lab)


The JIRIAF project aims to combine geographically diverse computing facilities into an integrated science infrastructure. This project starts by dynamically evaluating temporarily unallocated or idled compute resources from multiple providers. These resources are integrated to handle additional workloads without affecting local running jobs. This paper describes our approach to launch best-effort batch tasks which exploit these underutilized resources. Our system measures the real-time behavior of jobs running on a machine and learns to distinguish typical performance from outliers. Unsupervised ML techniques are used to analyze hardware-level performance measures, followed by a real-time cross-correlation analysis to determine which applications cause performance degradation. We then ameliorate bad behavior by throttling these processes. We demonstrate that problematic performance interference can be detected and acted on, which makes it possible to continue to share resources between applications and simultaneously maintain high utilization levels in a computing cluster. For a case study, we relocate the CLAS12 data processing workflow to a remote data center, preventing file migration and temporal data persistency.

Consider for long presentation Yes

Primary authors

Gyurjyan, Vardan (Jefferson Lab) Larrieu, Christopher (Jefferson Lab) Heyes, Graham (Jefferson Lab) Lawrence, David (Jefferson Lab) Goodrich, Michael Timmer, Carl (Thomas Jefferson National Accelerator Facility)

Presentation materials