Full metadata record
DC Field | Value | Language |
---|---|---|
dc.contributor.author | 이춘화 | - |
dc.date.accessioned | 2021-03-26T01:44:26Z | - |
dc.date.available | 2021-03-26T01:44:26Z | - |
dc.date.issued | 2020-01 | - |
dc.identifier.citation | 2020 International Conference on Information Networking (ICOIN), page. 713-716 | en_US |
dc.identifier.isbn | 978-1-7281-4199-2 | - |
dc.identifier.issn | 1976-7684 | - |
dc.identifier.uri | https://ieeexplore.ieee.org/document/9016513 | - |
dc.identifier.uri | https://repository.hanyang.ac.kr/handle/20.500.11754/160879 | - |
dc.description.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. | en_US |
dc.description.sponsorship | This research was supported by Basic Science Research Program through the National Research Foundation of Korea (NRF), funded by the Ministry of Science and ICT (No.2017R1A2B4010395). | en_US |
dc.language.iso | en | en_US |
dc.publisher | IEEE | en_US |
dc.subject | Streaming | en_US |
dc.subject | backpressure | en_US |
dc.subject | SLA | en_US |
dc.subject | Distributed Computing | en_US |
dc.subject | Cloud Computing | en_US |
dc.subject | Engines | en_US |
dc.subject | Task analysis | en_US |
dc.subject | Ink | en_US |
dc.subject | Monitoring | en_US |
dc.subject | Distributed databases | en_US |
dc.subject | Pipelines | en_US |
dc.title | A Backpressure Mitigation Scheme in Distributed Stream Processing Engines | en_US |
dc.type | Article | en_US |
dc.identifier.doi | 10.1109/ICOIN48656.2020.9016513 | - |
dc.relation.page | 1-4 | - |
dc.contributor.googleauthor | Hanif, Muhammad | - |
dc.contributor.googleauthor | Yoon, Hyeongdeok | - |
dc.contributor.googleauthor | Lee, Choonhwa | - |
dc.sector.campus | S | - |
dc.sector.daehak | COLLEGE OF ENGINEERING[S] | - |
dc.sector.department | DEPARTMENT OF COMPUTER SCIENCE | - |
dc.identifier.pid | lee | - |
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