Optimization of distributed compute resources utilization in the CMS Global Pool

The CMS Submission Infrastructure is the primary system for managing computing resources for CMS workflows, including data processing, simulation, and analysis. It integrates geographically distributed resources from Grid, HPC, and cloud providers into federated pools managed by HTCondor and Glidein- WMS, for a total of around 500k CPU cores. This system dynamically manages workloads based on priorities defined by the collaboration. Additionally, CMS scheduling strategies must be flexible to handle multiple concurrent workloads while considering changing processing demands and resource availability from various providers. Efficient utilization of vast amounts of distributed compute resources is a key element for the success of the scientific programs of the LHC experiments. Optimizing the system is essential to maximize resource efficiency and fully utilize the distributed computing power. The CMS Submission Infrastructure team thus systematically investigates sources of inefficiency in workload scheduling to reduce their impact. In addition, a strategy of pilot overloading has been introduced to compensate for other inefficiency sources, thereby optimizing resource utilization and enhancing computational throughput.

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Publication Details

Journal
EPJ Web of Conferences
Published
2025-01-01
DOI
https://doi.org/10.1051/epjconf/202533701210
Primary Topic
Distributed and Parallel Computing Systems
Type
article
Field-Weighted Citation Impact
0.00

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article

Optimization of distributed compute resources utilization in the CMS Global Pool

Hyunwoo Kim, A. Pérez-Calero Yzquierdo, Marco Mascheroni, Frank Würthwein et al.
EPJ Web of Conferences
Distributed and Parallel Computing Systems
article

Optimization of distributed compute resources utilization in the CMS Global Pool

Hyunwoo Kim, A. Pérez-Calero Yzquierdo, Marco Mascheroni, Frank Würthwein, Florian Von Cube, Vaiva Zokaite
article en

Abstract

The CMS Submission Infrastructure is the primary system for managing computing resources for CMS workflows, including data processing, simulation, and analysis. It integrates geographically distributed resources from Grid, HPC, and cloud providers into federated pools managed by HTCondor and Glidein- WMS, for a total of around 500k CPU cores. This system dynamically manages workloads based on priorities defined by the collaboration. Additionally, CMS scheduling strategies must be flexible to handle multiple concurrent workloads while considering changing processing demands and resource availability from various providers. Efficient utilization of vast amounts of distributed compute resources is a key element for the success of the scientific programs of the LHC experiments. Optimizing the system is essential to maximize resource efficiency and fully utilize the distributed computing power. The CMS Submission Infrastructure team thus systematically investigates sources of inefficiency in workload scheduling to reduce their impact. In addition, a strategy of pilot overloading has been introduced to compensate for other inefficiency sources, thereby optimizing resource utilization and enhancing computational throughput.

EPJ Web of ConferencesVol. 337
Fermi National Accelerator Laboratory (US), University of California San Diego (US), Port d'Informació Científica (ES), Centro de Investigaciones Energéticas, Medioambientales y Tecnológicas (ES), European Organization for Nuclear Research (CH)
National Science Foundation, European Commission, Ministerio de Ciencia e Innovación
Openalex Percentile: Top 68%
Distributed and Parallel Computing Systems
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