Monte Carlo Approach to the Computational Capacities Analysis of the Computing Continuum-Reference-Cited by-同舟云学术

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Monte Carlo Approach to the Computational Capacities Analysis of the Computing Continuum

Published:2021 Issue: Volume: Page:779-793
ISSN:0302-9743
Container-title:Computational Science – ICCS 2021
language:
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Author:

Kashansky Vladislav^ORCID,Radchenko Gleb^ORCID,Prodan Radu^ORCID

Publisher

Springer International Publishing

Link

https://link.springer.com/content/pdf/10.1007/978-3-030-77961-0_62

Reference32 articles.

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2. Arabnejad, V., Bubendorfer, K., Ng, B.: Scheduling deadline constrained scientific workflows on dynamically provisioned cloud resources. Future Gener. Comput. Syst. 75, 348–364 (2017)

3. Asch, M., et al.: Big data and extreme-scale computing: pathways to convergence-toward a shaping strategy for a future software and data ecosystem for scientific inquiry. Int. J. High Perform. Comput. Appl. 32(4), 435–479 (2018)

4. Axelrod, R.: The dissemination of culture: a model with local convergence and global polarization. J. Conflict Resolut. 41(2), 203–226 (1997)

5. Barrat, A., Barthelemy, M., Vespignani, A.: Dynamical Processes on Complex Networks. Cambridge University Press, Cambridge (2008)

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