Please use this identifier to cite or link to this item: https://scidar.kg.ac.rs/handle/123456789/14445
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dc.rights.licenseBY-NC-ND-
dc.contributor.authorIvanović, Miloš-
dc.contributor.authorZivic, Andreja-
dc.contributor.authorTachos, Nikolaos-
dc.contributor.authorGois, George-
dc.contributor.authorFilipovic, Nenad-
dc.contributor.authorFotiadis, Dimitrios-
dc.date.accessioned2022-03-31T19:46:07Z-
dc.date.available2022-03-31T19:46:07Z-
dc.date.issued2021-
dc.identifier.isbn978-1-6654-4261-9en_US
dc.identifier.urihttps://scidar.kg.ac.rs/handle/123456789/14445-
dc.description.abstractThe paper describes experiences from building and cloudification of the in-silico research platform SilicoFCM, an innovative in-silico clinical trials' solution for the design and functional optimization of whole heart performance and monitoring effectiveness of pharmacological treatment, with the aim to reduce the animal studies and the human clinical trials. The primary aim of cloudification was to prove portability, improve scalability and reduce long-term infrastructure costs. The most computationally expensive part of the platform, the scientific workflow manager, was successfully ported to Amazon Web Services. We benchmarked the performance on three distinct research workflows, each of them having different resource requirements and execution time. The first benchmark was pure performance of running workflow sequentially. The aim of the second test was to stress-test the underlying infrastructure by submitting multiple workflows simultaneously. The benchmark results are promising, painting the infrastructure launching overhead almost negligible in this kind of heavy computational use-case.en_US
dc.language.isoen_USen_US
dc.rightsopenAccess-
dc.rights.urihttps://creativecommons.org/licenses/by-nc-nd/4.0/-
dc.titleIn-silico Research Platform in the Cloud - Performance and Scalability Analysisen_US
dc.typeconferenceObjecten_US
dc.description.versionAuthor's versionen_US
dc.identifier.doi10.1109/BIBE52308.2021.9635574en_US
dc.relation.conference2021 IEEE 21st International Conference on Bioinformatics and Bioengineering (BIBE)en_US
dc.type.versionWorkingVersionen_US
Appears in Collections:Faculty of Science, Kragujevac

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