Publikation: Simplified Workflow Simulation on Cloud...
Stammdaten
Titel: | Simplified Workflow Simulation on Clouds based on Computation and Communication Noisiness |
Untertitel: | |
Kurzfassung: | Many researchers rely on simulations to analyze and validate their researched methods on Cloud infrastructures. However, determining relevant simulation parameters and correctly instantiating them to match the real Cloud performance is a difficult and costly operation, as minor configuration changes can easily generate an unreliable inaccurate simulation result. Using legacy values experimentally determined by other researchers can reduce the configuration costs, but is still inaccurate as the underlying public Clouds and the number of active tenants are highly different and dynamic in time. To overcome these deficiencies, we propose a novel model that simulates the dynamic Cloud performance by introducing noise in the computation and communication tasks, determined by a small set of runtime execution data. Although the estimating method is apparently costly, a comprehensive sensitivity analysis shows that the configuration parameters determined for a certain simulation setup can be used for other simulations too, thereby reducing the tuning cost by up to 82.46%, while declining the simulation accuracy by only 1.98% in average. Extensive evaluation also shows that our novel model outperforms other state-of-the-art dynamic Cloud simulation models, leading up to 22% lower makespan inaccuracy. |
Schlagworte: | Cloud computing, simulation, workflow applications, burstable instances, performance instability and noisiness |
Publikationstyp: | Beitrag in Zeitschrift (Autorenschaft) |
Erscheinungsdatum: | 21.01.2020 (Print) |
Erschienen in: |
IEEE Transactions on Parallel and Distributed Systems (TPDS)
IEEE Transactions on Parallel and Distributed Systems (TPDS)
(
IEEE;
)
zur Publikation |
Titel der Serie: | - |
Bandnummer: | 31 |
Heftnummer: | 7 |
Erstveröffentlichung: | Ja |
Version: | - |
Seite: | S. 1559 - 1574 |
Versionen
Keine Version vorhanden |
Erscheinungsdatum: | |
ISBN (e-book): | - |
eISSN: | - |
DOI: | http://dx.doi.org/10.1109/TPDS.2020.2967662 |
Homepage: | - |
Open Access |
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Erscheinungsdatum: | 21.01.2020 |
ISBN: | - |
ISSN: | 1045-9219 |
Homepage: | https://ieeexplore.ieee.org/document/8964294/ |
AutorInnen
Roland Mathá
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Sashko Ristov (extern) | ||||
Thomas Fahringer
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Radu Aurel Prodan (intern) |
Zuordnung
Organisation | Adresse | ||||
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Fakultät für Technische Wissenschaften
Institut für Informationstechnologie
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AT - 9020 Klagenfurt am Wörthersee |
Kategorisierung
Sachgebiete | |
Forschungscluster | Kein Forschungscluster ausgewählt |
Zitationsindex |
Informationen zum Zitationsindex: Master Journal List
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Peer Reviewed |
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Publikationsfokus |
Klassifikationsraster der zugeordneten Organisationseinheiten:
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Arbeitsgruppen |
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Kooperationen
Organisation | Adresse | ||||
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Universität Innsbruck
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AT - 6020 Innsbruck |
Forschungsaktivitäten
(Achtung: Externe Aktivitäten werden im Suchergebnis nicht mitangezeigt)
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