Data-Aware Adaptive Compression for Stream Processing-Reference-Cited by-同舟云学术

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Data-Aware Adaptive Compression for Stream Processing

Published:2024-09 Issue:9 Volume:36 Page:4531-4549
ISSN:1041-4347
Container-title:IEEE Transactions on Knowledge and Data Engineering
language:
Short-container-title:IEEE Trans. Knowl. Data Eng.

Author:

Zhang Yu¹^ORCID,Zhang Feng¹^ORCID,Li Hourun¹^ORCID,Zhang Shuhao²^ORCID,Guo Xiaoguang¹^ORCID,Chen Yuxing³^ORCID,Pan Anqun³^ORCID,Du Xiaoyong¹^ORCID

Affiliation:

1. Key Laboratory of Data Engineering and Knowledge Engineering (MOE), School of Information, Renmin University of China, Beijing, China

2. School of Computer Science and Engineering (SCSE), Nanyang Technological University (NTU), Singapore

3. Database R&D Department, Tencent Inc., Shenzhen, China

Funder

National Natural Science Foundation of China

Beijing Nova Program

Publisher

Institute of Electrical and Electronics Engineers (IEEE)

Link

http://xplorestaging.ieee.org/ielx7/69/10629652/10473167.pdf?arnumber=10473167

Reference91 articles.

1. Rhino: Efficient Management of Very Large Distributed State for Stream Processing Engines

2. Evaluation of Stream Processing Frameworks

3. Scabbard

4. AIoT-CitySense: AI and IoT-Driven City-Scale Sensing for Roadside Infrastructure Maintenance

5. Real-time stream processing for Big Data

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