Jul 9 – 13, 2018
Sofia, Bulgaria
Europe/Sofia timezone

Modeling and Simulation of Load Balancing Strategies for Computing in High Energy Physics

Jul 9, 2018, 2:30 PM
Hall 7 (National Palace of Culture)

Hall 7

National Palace of Culture

presentation Track 3 – Distributed computing T3 - Distributed computing


Manuel Giffels (KIT - Karlsruhe Institute of Technology (DE))


The amount of data to be processed by experiments in high energy physics is tremendously increasing in the coming years. For the first time in history the expected technology advance itself will not be sufficient to cover the arising gap between required and available resources based on the assumption of maintaining the current flat budget hardware procurement strategy. This leads to unprecedented challenges to both HEP software development and computing models, respectively. A first step towards meeting these challenges is the development of load balancing strategies for the existing workflow management systems in order to ensure a most effective resource utilization during processing of the comprehensive and world-wide distributed datasets.

We report on using Palladio [1], an existing simulator for simulating the performance of abstract software architectural models, to model and simulate the performance of computing jobs executed at GridKa Tier 1 center. We validate the model with real-world performance measurements. With this model, we will enable model-based evaluation of different load balancing strategies.

[1] Becker, Steffen, Heiko Koziolek, and Ralf Reussner. "The Palladio component model for model-driven performance prediction." Journal of Systems and Software 82, no. 1 (2009): 3-22.

Primary authors

Rene Caspart (KIT - Karlsruhe Institute of Technology (DE)) Mr Patrick Firnkes (KIT) Manuel Giffels (KIT - Karlsruhe Institute of Technology (DE)) Anne Koziolek (Karlsruhe Institute of Technology (KIT)) Gunter Quast (KIT - Karlsruhe Institute of Technology (DE)) Prof. Ralf Reussner (KIT)

Presentation materials