Big Data Workflows: Locality-Aware Orchestration Using Software Containers

Andrei-Alin Corodescu, Nikolay Nikolov, Akif Quddus Khan, Ahmet Soylu, Mihhail Matskin, Amir H. Payberah, Dumitru Roman

Open source

DOI: 10.3390/s21248212
Published: 2021-12-08
Container: Sensors
Publisher: MDPI AG
Open access: unknown

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Cite this work

BibTeX

@article{allodium:10.3390/s21248212,
  title = {Big Data Workflows: Locality-Aware Orchestration Using Software Containers},
  author = {Andrei-Alin Corodescu and Nikolay Nikolov and Akif Quddus Khan and Ahmet Soylu and Mihhail Matskin and Amir H. Payberah and Dumitru Roman},
  year = {2021},
  journal = {Sensors},
  doi = {10.3390/s21248212},
  url = {https://doi.org/10.3390/s21248212}
}

RIS

TY  - JOUR
TI  - Big Data Workflows: Locality-Aware Orchestration Using Software Containers
AU  - Andrei-Alin Corodescu
AU  - Nikolay Nikolov
AU  - Akif Quddus Khan
AU  - Ahmet Soylu
AU  - Mihhail Matskin
AU  - Amir H. Payberah
AU  - Dumitru Roman
PY  - 2021
JO  - Sensors
DO  - 10.3390/s21248212
UR  - https://doi.org/10.3390/s21248212
ER  -

APA

Corodescu, A., Nikolov, N., Khan, A. Q., Soylu, A., Matskin, M., Payberah, A. H., & Roman, D. (2021). Big Data Workflows: Locality-Aware Orchestration Using Software Containers. Sensors. https://doi.org/10.3390/s21248212

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crossref · retrieved 2026-11-07T03:24:44.526Z