LPG-model: A novel model for throughput prediction in stream processing, using a light gradient boosting machine, incremental principal component analysis, and deep gated recurrent unit network-Reference-Cited by-同舟云学术

LPG-model: A novel model for throughput prediction in stream processing, using a light gradient boosting machine, incremental principal component analysis, and deep gated recurrent unit network

Published:2020-10 Issue: Volume:535 Page:107-129
ISSN:0020-0255
Container-title:Information Sciences
language:en
Short-container-title:Information Sciences

Author:

Chu Zheng^ORCID,Yu Jiong,Hamdulla Askar

Funder

National Natural Science Foundation of China

Xinjiang University

Publisher

Elsevier BV

Subject

Artificial Intelligence,Information Systems and Management,Computer Science Applications,Theoretical Computer Science,Control and Systems Engineering,Software

Reference50 articles.

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4. An on-the-fly scheduling strategy for distributed stream processing platform;Zhang,2018

5. Big-data streaming applications scheduling based on staged multi-armed bandits;Kanoun;IEEE Trans. Comput.,2016

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