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20242026
most citedMachine Learning-Driven Predictive Resource Management in Complex Science Workflows

1 citations · 1 across the 2 of their papers we have counts for

collaborators

5 papers

hep-ex2026

Building an AI-native Research Ecosystem for Experimental Particle Physics: A Community Vision

Thea Klaeboe Aarrestad, Alaa Abdelhamid, Haider Abidi +457

Experimental particle physics seeks to understand the universe by probing its fundamental particles and forces and exploring how they govern the large-scale processes that shape co…

cs.DC2025

Machine Learning-Driven Predictive Resource Management in Complex Science Workflows

Tasnuva Chowdhury, Tadashi Maeno, Fatih Furkan Akman +23

The collaborative efforts of large communities in science experiments, often comprising thousands of global members, reflect a monumental commitment to exploration and discovery. R…

cs.DC2025

Towards an Introspective Dynamic Model of Globally Distributed Computing Infrastructures

Ozgur O. Kilic, David K. Park, Yihui Ren +18

Large-scale scientific collaborations like ATLAS, Belle II, CMS, DUNE, and others involve hundreds of research institutes and thousands of researchers spread across the globe. Thes…

cs.DC2025

Alternative Mixed Integer Linear Programming Optimization for Joint Job Scheduling and Data Allocation in Grid Computing

Shengyu Feng, Jaehyung Kim, Yiming Yang +18

This paper presents a novel approach to the joint optimization of job scheduling and data allocation in grid computing environments. We formulate this joint optimization problem as…

cs.DC2024

AI Surrogate Model for Distributed Computing Workloads

David K. Park, Yihui Ren, Ozgur O. Kilic +18

Large-scale international scientific collaborations, such as ATLAS, Belle II, CMS, and DUNE, generate vast volumes of data. These experiments necessitate substantial computational…