Dynamic Data Partitioning Strategy Based on Heterogeneous Flink Cluster
Author:
Affiliation:
1. Xi’an Jiao-tong University,School of Software,Xi’an,Shaanxi,China
Publisher
IEEE
Link
http://xplorestaging.ieee.org/ielx7/9819953/9819974/09820336.pdf?arnumber=9820336
Reference16 articles.
1. Re-Stream: Real-time and energy-efficient resource scheduling in big data stream computing environments
2. SP-Partitioner: A novel partition method to handle intermediate data skew in spark streaming
3. GML: Efficiently Auto-Tuning Flink's Configurations Via Guided Machine Learning
4. Task scheduling optimization in Spark environment with unbalanced resource;yahong sheng xia mao jiafa;Computer Engineering and Science,2020
5. Dynamic task dispatching strategy for stream processing based on flow network;li;Journal of Computer Application,2018
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