Optimizing Task Allocation in the LHC Computing Grid for the High-Luminosity LHC Using a Heuristic Approach.

This publication presents a mathematical model and hybrid heuristic algorithm (greedy + simulated annealing) to optimize task allocation in the LHC Computing Grid for the High-Luminosity LHC (HL-LHC), achieving 36% energy savings and 3.6% time reduction. It includes the paper (main.pdf), LaTeX source (main.tex), a visualization chart (optimization_chart.png), and the Python script (generate_chart.py) used to create the chart. The project is available at https://github.com/DonMask/LHC-Computing-Grid.

Publication Details

Journal
Zenodo (CERN European Organization for Nuclear Research)
Published
2025-05-21
DOI
https://doi.org/10.5281/zenodo.15477895
Primary Topic
Distributed and Parallel Computing Systems
Type
article
Field-Weighted Citation Impact
0.00
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article

Optimizing Task Allocation in the LHC Computing Grid for the High-Luminosity LHC Using a Heuristic Approach.

Zenodo (CERN European Organization for Nuclear Research)
Distributed and Parallel Computing Systems
article

Optimizing Task Allocation in the LHC Computing Grid for the High-Luminosity LHC Using a Heuristic Approach.

article en

Abstract

This publication presents a mathematical model and hybrid heuristic algorithm (greedy + simulated annealing) to optimize task allocation in the LHC Computing Grid for the High-Luminosity LHC (HL-LHC), achieving 36% energy savings and 3.6% time reduction. It includes the paper (main.pdf), LaTeX source (main.tex), a visualization chart (optimization_chart.png), and the Python script (generate_chart.py) used to create the chart. The project is available at https://github.com/DonMask/LHC-Computing-Grid.

Zenodo (CERN European Organization for Nuclear Research)
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Openalex Percentile: Top 52%
Distributed and Parallel Computing Systems
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Optimizing Task Allocation in the LHC Computing Grid for the High-Luminosity LHC Using a Heuristic Approach. · Zenodo (CERN European Organization for Nuclear Research) (2025) | TGRS Research Map | TGRS