Fault Tolerance and Error Handling Techniques in Apache Kafka-Reference-Cited by-同舟云学术

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Fault Tolerance and Error Handling Techniques in Apache Kafka

Published:2023-11-23 Issue: Volume: Page:1-5
ISSN:
Container-title:Proceedings of the 5th International Conference on Information Management & Machine Intelligence
language:
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Author:

Vyas Shubham¹^ORCID,Tyagi Rajesh Kumar²^ORCID,Sahu Shashank³^ORCID

Affiliation:

1. Information Technology, Amity Institute of Information Technology, India

2. Computer Science and Engineering, Amity School of Engineering and Technology, Amity University Haryana, India

3. Computer Science and Engineering, Ajay Kumar Garg Engineering College, India

Publisher

ACM

Link

https://dl.acm.org/doi/pdf/10.1145/3647444.3647844

Reference20 articles.

1. A Study of Apache Kafka in Big Data Stream Processing

2. Van-Dai Ta and Chuan-Ming Liu and Nkabinde Goodwill Wandile "Big data stream computing in healthcare real-time analytics " 2016 IEEE International Conference on Cloud Computing and Big Data Analysis (ICCCBDA) 2016 pp. 37-42 doi: 10.1109/ICCCBDA.2016.7529531.Jon M. Kleinberg. 1999. Authoritative sources in a hyperlinked environment. J. ACM 46 5 (September 1999) 604–632. https://doi.org/10.1145/324133.324140

3. Bang Jiwon and Son Siwoon and Kim Hajin and Moon Yang-Sae and Choi Mi-Jung "Design and implementation of a load shedding engine for solving starvation problems in Apache Kafka " NOMS 2018 - 2018 IEEE/IFIP Network Operations and Management Symposium 2018 pp. 1-4 doi: 10.1109/NOMS.2018.8406306.James W. Demmel Yozo Hida William Kahan Xiaoye S. Li Soni Mukherjee and Jason Riedy. 2005. Error Bounds from Extra Precise Iterative Refinement. Technical Report No. UCB/CSD-04-1344. University of California Berkeley.

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