RDMA-Based Apache Storm for High-Performance Stream Data Processing-Reference-Cited by-同舟云学术

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RDMA-Based Apache Storm for High-Performance Stream Data Processing

Published:2021-03-18 Issue:5 Volume:49 Page:671-684
ISSN:0885-7458
Container-title:International Journal of Parallel Programming
language:en
Short-container-title:Int J Parallel Prog

Author:

Zhang Ziyu^ORCID,Liu Zitan,Jiang Qingcai,Chen Junshi,An Hong

Funder

National Key Research and Development Program of China

Publisher

Springer Science and Business Media LLC

Subject

Information Systems,Theoretical Computer Science,Software

Link

https://link.springer.com/content/pdf/10.1007/s10766-021-00696-0.pdf

Reference22 articles.

1. Abadi, D.J., Carney, D., Çetintemel, U., Cherniack, M., Convey, C., Lee, S., Stonebraker, M., Tatbul, N., Zdonik, S.B.: Aurora: a new model and architecture for data stream management. VLDB J. 12(2), 120–139 (2003). https://doi.org/10.1007/s00778-003-0095-z

2. Agostini, E., Rossetti, D., Potluri, S.: Gpudirect async: exploring GPU synchronous communication techniques for infiniband clusters. J. Parallel Distrib. Comput. 114, 28–45 (2018). https://doi.org/10.1016/j.jpdc.2017.12.007

3. Akidau, T., Bradshaw, R., Chambers, C., Chernyak, S., Fernández-Moctezuma, R., Lax, R., McVeety, S., Mills, D., Perry, F., Schmidt, E., Whittle, S.: The dataflow model: a practical approach to balancing correctness, latency, and cost in massive-scale, unbounded, out-of-order data processing. Proc. VLDB Endow. 8(12), 1792–1803 (2015). https://doi.org/10.14778/2824032.2824076

4. Amarasinghe, G., de Assunção, M.D., Harwood, A., Karunasekera, S.: Ecsnet++: a simulator for distributed stream processing on edge and cloud environments. Future Gener. Comput. Syst. 111, 401–418 (2020). https://doi.org/10.1016/j.future.2019.11.014

5. Corral-Plaza, D., Medina-Bulo, I., Ortiz, G., Boubeta-Puig, J.: A stream processing architecture for heterogeneous data sources in the internet of things. Comput. Stand. Interfaces (2020). https://doi.org/10.1016/j.csi.2020.103426

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