Pre‐filtering based summarization for data partitioning in distributed stream processing-Reference-Cited by-同舟云学术

Pre‐filtering based summarization for data partitioning in distributed stream processing

Published:2021-04-30 Issue:20 Volume:33 Page:
ISSN:1532-0626
Container-title:Concurrency and Computation: Practice and Experience
language:en
Short-container-title:Concurrency Computat Pract Exper

Author:

Aslam Adeel¹,Chen Hanhua²³^ORCID,Jin Hai³^ORCID

Affiliation:

1. National Engineering Research Center for Big Data Technology and System, School of Computer Science and Technology Huazhong University of Science and Technology Wuhan China

2. Services Computing Technology and System Lab, School of Computer Science and Technology Huazhong University of Science and Technology Wuhan China

3. Cluster and Grid Computing Lab, School of Computer Science and Technology Huazhong University of Science and Technology Wuhan China

Funder

National Key Research and Development Program of China

National Natural Science Foundation of China

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.6338

Reference40 articles.

1. YingT ChenH JinH. Pensieve: skewness‐aware version switching for efficient graph processing. Paper presented at: Proceedings of the International Conference on Management of Data (SIGMOD);2020:699‐713; Portland OR.

2. Apache Strom.https://storm.apache.org/ Last accessed 8 March 2020.

3. Apache Flink.https://flink.apache.org/ Last accessed 8 March 2020.

4. Apache Spark.https://spark.apache.org/ Last accessed 8 March 2020.

5. Minimizing Inter-Server Communications by Exploiting Self-Similarity in Online Social Networks

Cited by 4 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. Adaptive key partitioning in distributed stream processing;CCF Transactions on High Performance Computing;2024-01-12

2. A two-tier coordinated load balancing strategy over skewed data streams;The Journal of Supercomputing;2023-06-18

3. Clustering Mining Algorithm of Internet of Things Database Based on Python Language;Computing and Informatics;2023

4. An Elastic Scalable Grouping for Stateful Operators in Stream Computing Systems;Advanced Data Mining and Applications;2023