|Datum||Fr 31. August 2018, 11:30 Uhr|
|Raum||Raum 348 (Gebäude 50.34)|
|Vorheriger Termin||Fr 17. August 2018|
|Nächster Termin||Fr 21. September 2018|
|Titel||Calibrating Performance Models for Particle Physics Workloads|
|Kurzfassung|| Particle colliders are a primary method of conducting experiments in particle physics, as they allow to both create short-lived, high-energy particles and observe their properties. The world’s largest particle collider, the Large Hadron Collider (subsequently referred to as LHC), is operated by the European Organization for Nuclear Research (CERN) near Geneva. The operation of this kind of accelerator requires the storage and computationally intensive analysis of large amounts of data. The Worldwide LHC Computing Grid (WLCG), a global computing grid, is being run alongside the LHC to serve this purpose.
This Bachelor’s thesis aims to support the creation of an architecture model and simulation for parts of the WLCG infrastructure with the goal of accurately being able to simulate and predict changes in the infrastructure such as the replacement of the load balancing strategies used to distribute the workload between available nodes.
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Anwesende Professoren: Anne Koziolek