Data-Aware Adaptive Compression for Stream Processing

Stream processing has been in widespread use, and one of the most common application scenarios is SQL query on streams. By 2021, the global deployment of IoT endpoints reached 12.3 billion, indicating a surge in data generation. However, the escalating demands for high throughput and low latency in...

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Bibliographic Details

Published in:	IEEE transactions on knowledge and data engineering Vol. 36; no. 9; pp. 4531 - 4549
Main Authors:	Zhang, Yu, Zhang, Feng, Li, Hourun, Zhang, Shuhao, Guo, Xiaoguang, Chen, Yuxing, Pan, Anqun, Du, Xiaoyong
Format:	Journal Article
Language:	English
Published:	IEEE 01.09.2024
Subjects:	Compression algorithms Costs Data compaction and compression Data processing Delays edge computing Encoding Low latency communication Real-time systems stream processing
ISSN:	1041-4347, 1558-2191
Online Access:	Get full text
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