A multi-level caching architecture for stateful stream computation-Reference-Cited by-同舟云学术

A multi-level caching architecture for stateful stream computation

Published:2022-06-27 Issue: Volume: Page:
ISSN:
Container-title:Proceedings of the 16th ACM International Conference on Distributed and Event-Based Systems
language:
Short-container-title:

Author:

Islam Muhammed Tawfiqul¹,Borovica-Gajic Renata¹,Karunasekera Shanika¹

Affiliation:

1. The University of Melbourne, Melbourne, Victoria, Australia

Funder

THE DEFENCE SCIENCE AND TECHNOLOGY GROUP (DSTG) AUSTRALIA

Publisher

ACM

Link

https://dl.acm.org/doi/pdf/10.1145/3524860.3539803

Reference36 articles.

1. Apache storm. https://storm.apache.org/. Accessed: 2022-05-18. Apache storm. https://storm.apache.org/. Accessed: 2022-05-18.

2. Apache Spark

3. Paris Carbone , Asterios Katsifodimos , Stephan Ewen , Volker Markl , Seif Haridi , and Kostas Tzoumas . Apache flink: Stream and batch processing in a single engine. Bulletin of the IEEE Computer Society Technical Committee on Data Engineering, 36(4) , 2015 . Paris Carbone, Asterios Katsifodimos, Stephan Ewen, Volker Markl, Seif Haridi, and Kostas Tzoumas. Apache flink: Stream and batch processing in a single engine. Bulletin of the IEEE Computer Society Technical Committee on Data Engineering, 36(4), 2015.

4. Twitter Heron

5. Integrating scale out and fault tolerance in stream processing using operator state management

Cited by 1 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. An exploratory analysis of methods for real-time data deduplication in streaming processes;Proceedings of the 17th ACM International Conference on Distributed and Event-based Systems;2023-06-27