Energy efficient resource controller for Apache Storm-Reference-Cited by-同舟云学术

Energy efficient resource controller for Apache Storm

Published:2021-12-30 Issue: Volume: Page:
ISSN:1532-0626
Container-title:Concurrency and Computation: Practice and Experience
language:en
Short-container-title:Concurrency and Computation

Author:

HoseinyFarahabady MohammadReza¹^ORCID,Taheri Javid²^ORCID,Zomaya Albert Y.¹^ORCID,Tari Zahir³^ORCID

Affiliation:

1. Center for Distributed and High Performance Computing, School of Computer Science The University of Sydney Camperdown New South Wales Australia

2. Department of Computer Science Karlstad University Karlstad Sweden

3. School of Computing Technologies RMIT University Melbourne Victoria Australia

Funder

Australian Research Council

Publisher

Wiley

Subject

Computational Theory and Mathematics,Computer Networks and Communications,Computer Science Applications,Theoretical Computer Science,Software

Link

https://onlinelibrary.wiley.com/doi/pdf/10.1002/cpe.6799

Reference39 articles.

1. ZahariaM ChowdhuryM FranklinMJ ShenkerS StoicaI.Spark: cluster computing with working sets. Proceedings of the 2nd USENIX Conference on Hot Topics in Cloud Computing (HotCloud'10); 2010:10; USENIX Association.

2. Flink docs stable: introduction to apache flink. Accessed November 2019.flink.apache.org

3. KulkarniS BhagatN FuM et al.Twitter heron: stream processing at scale. Proceedings of the 2015 ACM SIGMOD International Conference on Management of Data (SIGMOD '15); 2015:239‐250. Association for Computing Machinery.

4. IBM Knowledge Center.IBM Streams; 2018.ibmstreams.github.io

5. ApacheSF.Storm distributed real‐time computation system; 2016.storm.apache.org

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3. Electrical Big Data’s Stream Management for Efficient Energy Control;Lecture Notes of the Institute for Computer Sciences, Social Informatics and Telecommunications Engineering;2023