An Open-Source Framework Unifying Stream and Batch Processing-Reference-Cited by-同舟云学术

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An Open-Source Framework Unifying Stream and Batch Processing

Published:2022 Issue: Volume: Page:607-630
ISSN:2367-3370
Container-title:Inventive Computation and Information Technologies
language:
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Author:

Deshpande Kiran,Rao Madhuri

Publisher

Springer Nature Singapore

Link

https://link.springer.com/content/pdf/10.1007/978-981-16-6723-7_45

Reference42 articles.

1. S. Yu, Data processing and development of big data system: a survey, in Advances in Artificial Intelligence and Security. ICAIS 2021, ed. by X. Sun, X. Zhang, Z. Xia, E. Bertino. Communications in Computer and Information Science, vol. 1423 (Springer, Cham, 2021), p. 34. https://doi.org/10.1007/978-3-030-78618-2

2. M. Harvan, T. Locher, A.C. Sima, Cyclone: unified stream and batch processing, in 2016 45th International Conference on Parallel Processing Workshops (ICPPW) (2016), pp. 220–229. https://doi.org/10.1109/ICPPW.2016.42

3. H. Nasiri, S. Nasehi, M. Goudarzi, Evaluation of distributed stream processing frameworks for IoT applications in Smart Cities. J. Big Data 6, 52 (2019). https://doi.org/10.1186/s40537-019-0215-2

4. Z. Lv, H. Song, P. Basanta-Val, A. Steed, M. Jo, Next-generation big data analytics: state of the art, challenges, and future research topics. IEEE Trans. Ind. Inf. 13(4), 1891–1899 (2017). https://doi.org/10.1109/TII.2017.2650204

5. H. Hu, Y. Wen, T.-S. Chua, X. Li, Toward scalable systems for big data analytics: a technology tutorial. IEEE Access 2, 652–687 (2014). https://doi.org/10.1109/ACCESS.2014.2332453

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