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Optimization of request processing times for a heterogeneous data aggregation platform

Tokareva, Victoria

Abstract (englisch):
The GRADLC heterogeneous data aggregation system allows for flexible expansion by connecting to new data storages, and provides researchers fast aggregated access to heterogeneous data of different astroparticle physics experiments, while reducing the storage load.
This flexibility comes with necessity to balance user requests in the queue with respect to various request processing times for the different storages, releated to different data processing policies and opportunities on a particular storage.

In order to handle this problem, a mathematical model for data aggregation was developed. Based on this model, a minimization problem for request processing times for the GRADLC system was formulated and investigated. Using simulation modeling a job shop scheduling algorithm was determined, which outperforms the straight forward FIFO approach in regards to the average request processing times.

Zugehörige Institution(en) am KIT Institut für Astroteilchenphysik (IAP)
Publikationstyp Vortrag
Publikationsmonat/-jahr 10.2020
Sprache Englisch
Identifikator KITopen-ID: 1000133359
HGF-Programm 51.03.04 (POF III, LK 01) Kosmische Strahlung Technologien
Veranstaltung International Conference on Computer Simulation in Physics and beyond (CSP 2020), Online, 12.10.2020 – 16.10.2020
Bemerkung zur Veröffentlichung Vortrag online
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