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A Backpressure Mitigation Scheme in Distributed Stream Processing Engines

Title
A Backpressure Mitigation Scheme in Distributed Stream Processing Engines
Author
이춘화
Keywords
Streaming; backpressure; SLA; Distributed Computing; Cloud Computing; Engines; Task analysis; Ink; Monitoring; Distributed databases; Pipelines
Issue Date
2020-01
Publisher
IEEE
Citation
2020 International Conference on Information Networking (ICOIN), page. 713-716
Abstract
There is a significant rise in the adaptation of streaming applications in the past decade by individuals researchers and organizations in both industry and academia. These applications are all based on the modern data stream processing systems that implement resource allocation and management in order to provide an uninterrupted track of queries over incoming input distributed data streams. More than a few stream processing engines exists to handle these distributed streaming applications. These distributed applications have open challenges like backpressure. In this paper, we introduce a backpressure mitigation mechanism for the distributed stream processing systems. The proposed backpressure mitigation technique is a generic one and is feasible to be implemented on top of a number of popular streaming frameworks. We use Flink as a testbed for this work and use its available APIs.
URI
https://ieeexplore.ieee.org/document/9016513https://repository.hanyang.ac.kr/handle/20.500.11754/160879
ISBN
978-1-7281-4199-2
ISSN
1976-7684
DOI
10.1109/ICOIN48656.2020.9016513
Appears in Collections:
COLLEGE OF ENGINEERING[S](공과대학) > COMPUTER SCIENCE(컴퓨터소프트웨어학부) > Articles
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