Efficient Stream Join Processing: Novel Approaches and Challenges

Author:

Aslam Adeel1ORCID,Simonini Giovanni1ORCID

Affiliation:

1. University of Modena Reggio Emilia, Italy, Modena, Italy

Funder

Rif.PA 2023-20467/RER

FAR_DIP_2023_DIEF-SIMONINI

Publisher

ACM

Reference11 articles.

1. Benchmarking Distributed Stream Data Processing Systems

2. Fast and scalable inequality joins

3. The Case for Learned Index Structures

4. Qian Lin, Beng Chin Ooi, Zhengkui Wang, and Cui Yu. 2015. Scalable distributed stream join processing. In Proceedings of the 2015 International Conference on Management of Data. 811--825.

5. Mohammadreza Najafi, Mohammad Sadoghi, and Hans-Arno Jacobsen. 2016. {SplitJoin}: a scalable, low-latency stream join architecture with adjustable ordering precision. In 2016 USENIX Annual Technical Conference (USENIX ATC 16). 493--505.

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