Large-Scale Data Stream Processing Systems-Reference-Cited by-同舟云学术

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Large-Scale Data Stream Processing Systems

Published:2017 Issue: Volume: Page:219-260
ISSN:
Container-title:Handbook of Big Data Technologies
language:
Short-container-title:

Author:

Carbone Paris,Gévay Gábor E.,Hermann Gábor,Katsifodimos Asterios,Soto Juan,Markl Volker,Haridi Seif

Publisher

Springer International Publishing

Link

http://link.springer.com/content/pdf/10.1007/978-3-319-49340-4_7

Reference90 articles.

1. Apache Hadoop project, https://hadoop.apache.org/

2. Apache Kafka project, http://kafka.apache.org/

3. Apache Samza project, http://samza.apache.org/

4. Apache Spark project, http://spark.apache.org/

5. Apache Storm project, http://storm.apache.org/

Cited by 4 articles. 订阅此论文施引文献订阅此论文施引文献，注册后可以免费订阅5篇论文的施引文献，订阅后可以查看论文全部施引文献

1. Implementation of load balancing algorithm based on flink cluster;2022 International Conference on Cloud Computing, Big Data Applications and Software Engineering (CBASE);2022-09

2. Toward Sliding Time Window of Low Watermark to Detect Delayed Stream Arrival;Lecture Notes of the Institute for Computer Sciences, Social Informatics and Telecommunications Engineering;2021

3. A review on big data real-time stream processing and its scheduling techniques;International Journal of Parallel, Emergent and Distributed Systems;2019-03-01

4. Data Stream Management;Real-Time & Stream Data Management;2019

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