A survey on the evolution of stream processing systems

Author:

Fragkoulis Marios,Carbone Paris,Kalavri Vasiliki,Katsifodimos AsteriosORCID

Abstract

AbstractStream processing has been an active research field for more than 20 years, but it is now witnessing its prime time due to recent successful efforts by the research community and numerous worldwide open-source communities. This survey provides a comprehensive overview of fundamental aspects of stream processing systems and their evolution in the functional areas of out-of-order data management, state management, fault tolerance, high availability, load management, elasticity, and reconfiguration. We review noteworthy past research findings, outline the similarities and differences between the first  (’00–’10) and second  (’11–’23) generation of stream processing systems, and discuss future trends and open problems.

Publisher

Springer Science and Business Media LLC

Subject

Hardware and Architecture,Information Systems

Reference169 articles.

1. Apache Flink. http://flink.apache.org/. Last access: July (2023)

2. Apache flink statefun documentation. https://nightlies.apache.org/flink/flink-statefun-docs-stable/. Last access: 2023-04-08

3. Apache Storm. http://storm.apache.org/. Last access: July (2023)

4. Arroyo. https://github.com/ArroyoSystems/arroyo. Last access: July (2023)

5. Introduction to Kafka Streams. http://www.confluent.io/blog/introducing-kafka-streams-stream-processing-_made-simple. Last access: July (2023)

Cited by 12 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. A formal specification language and automatic modeling method of asset securitization contract;Journal of King Saud University - Computer and Information Sciences;2024-10

2. A resource optimization scheduling model and algorithm for heterogeneous computing clusters based on GNN and RL;The Journal of Supercomputing;2024-08-03

3. A Comprehensive Benchmarking Analysis of Fault Recovery in Stream Processing Frameworks;Proceedings of the 18th ACM International Conference on Distributed and Event-based Systems;2024-06-24

4. AquaLang: A Dataflow Programming Language;Proceedings of the 18th ACM International Conference on Distributed and Event-based Systems;2024-06-24

5. μWheel: Aggregate Management for Streams and Queries;Proceedings of the 18th ACM International Conference on Distributed and Event-based Systems;2024-06-24

同舟云学术

1.学者识别学者识别

2.学术分析学术分析

3.人才评估人才评估

"同舟云学术"是以全球学者为主线,采集、加工和组织学术论文而形成的新型学术文献查询和分析系统,可以对全球学者进行文献检索和人才价值评估。用户可以通过关注某些学科领域的顶尖人物而持续追踪该领域的学科进展和研究前沿。经过近期的数据扩容,当前同舟云学术共收录了国内外主流学术期刊6万余种,收集的期刊论文及会议论文总量共计约1.5亿篇,并以每天添加12000余篇中外论文的速度递增。我们也可以为用户提供个性化、定制化的学者数据。欢迎来电咨询!咨询电话:010-8811{复制后删除}0370

www.globalauthorid.com

TOP

Copyright © 2019-2024 北京同舟云网络信息技术有限公司
京公网安备11010802033243号  京ICP备18003416号-3