Towards a dynamic heuristic for task scheduling in application integration platforms to handle large volumes of data-Reference-Cited by-同舟云学术

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Towards a dynamic heuristic for task scheduling in application integration platforms to handle large volumes of data

Published:2022-07-20 Issue:1 Volume:79 Page:998-1031
ISSN:0920-8542
Container-title:The Journal of Supercomputing
language:en
Short-container-title:J Supercomput

Author:

Mazzonetto Angela,Frantz Rafael Z.^ORCID,Sawicki Sandro,Roos-Frantz Fabricia,Battisti Gerson

Funder

Fundação de Amparo à Pesquisa do Estado do Rio Grande do Sul

Conselho Nacional de Desenvolvimento Científico e Tecnológico

Coordenação de Aperfeiçoamento de Pessoal de Nível Superior

Publisher

Springer Science and Business Media LLC

Subject

Hardware and Architecture,Information Systems,Theoretical Computer Science,Software

Link

https://link.springer.com/content/pdf/10.1007/s11227-022-04695-x.pdf

Reference57 articles.

1. Manikas K (2016) Revisiting software ecosystems research: a longitudinal literature study. J Sys Softw 117:84–103

2. Romero D, Vernadat F (2016) Enterprise information systems state of the art: past, present and future trends. Comput Ind 79:3–13

3. Corchuelo R, Toro M (2020) A scheduler for scada-based multi-source fusion systems. Inf Fus 63:41–55

4. Gubbi J, Buyya R, Marusic S, Palaniswami M (2013) Internet of things (iot): a vision, architectural elements, and future directions. Futur Gener Comput Syst 29(7):1645–1660. https://doi.org/10.1016/j.future.2013.01.010

5. Reyna A, Martín C, Chen J, Soler E, Díaz M (2018) On blockchain and its integration with iot. challenges and opportunities. Futur Gener Comput Syst 88:173–190

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