Research Summary: Deterministic, Explainable and Efficient Stream Processing-Reference-Cited by-同舟云学术

Research Summary: Deterministic, Explainable and Efficient Stream Processing

Published:2022-07-25 Issue: Volume: Page:
ISSN:
Container-title:Proceedings of the 2022 Workshop on Advanced tools, programming languages, and PLatforms for Implementing and Evaluating algorithms for Distributed systems
language:
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Author:

Palyvos-Giannas Dimitrios¹,Papatriantafilou Marina¹,Gulisano Vincenzo¹

Affiliation:

1. Chalmers University of Technology, Gothenburg, Sweden

Funder

Vinnova

Vetenskapsrådet

Swedish Foundation for Strategic Research

Publisher

ACM

Link

https://dl.acm.org/doi/pdf/10.1145/3524053.3542750

Reference38 articles.

1. Aurora: a new model and architecture for data stream management

2. The Dataflow Model: A Practical Approach to Balancing Correctness, Latency, and Cost in Massive-Scale, Unbounded, Out-of-Order Data Processing;Akidau Tyler;VLDB,2015

3. Apache. 2021. Storm. Retrieved November 5 2021 from https://storm.apache.org/ Apache. 2021. Storm. Retrieved November 5 2021 from https://storm.apache.org/

4. Arvind Arasu , Mitch Cherniack , Eduardo Galvez , David Maier , Anurag S. Maskey , Esther Ryvkina , Michael Stonebraker , and Richard Tibbetts . 2004 . Linear Road: A Stream Data Management Benchmark . In Proceedings of the Thirtieth International Conference on Very Large Data Bases - Volume 30 (VLDB '04). VLDB Endowment, Toronto, Canada, 480--491. http://dl.acm.org/citation.cfm?id=1316689.1316732 Arvind Arasu, Mitch Cherniack, Eduardo Galvez, David Maier, Anurag S. Maskey, Esther Ryvkina, Michael Stonebraker, and Richard Tibbetts. 2004. Linear Road: A Stream Data Management Benchmark. In Proceedings of the Thirtieth International Conference on Very Large Data Bases - Volume 30 (VLDB '04). VLDB Endowment, Toronto, Canada, 480--491. http://dl.acm.org/citation.cfm?id=1316689.1316732

5. Internally deterministic parallel algorithms can be fast