CODC-pyParaQC: A design and implementation of parallel quality control for ocean observation big data

High-quality ocean observation is essential for research and applications in ocean exploration and climate change. With moving into the era of big data in recent years, it becomes crucial to process these massive raw observations accurately and efficiently. This paper addressed issues encountered in...

Ausführliche Beschreibung

Bibliographische Detailangaben

Veröffentlicht in:	Proceedings of the ... International Symposium on Parallel and Distributed Processing with Applications (Print) S. 1863 - 1870
Hauptverfasser:	Yuan, Huifeng, Li, Tianyan, Jin, Zhong, Cheng, Lijing, Tan, Zhetao, Zhang, Bin, Wang, Yanjun
Format:	Tagungsbericht
Sprache:	Englisch
Veröffentlicht:	IEEE 30.10.2024
Schlagworte:	Big Data Climate change Computational efficiency Control systems Database systems Observers ocean observation Ocean temperature Oceanography Oceans parallel computation Process control Quality control Real-time systems Supercomputers
ISSN:	2158-9208
Online-Zugang:	Volltext
Tags:	Tag hinzufügen Keine Tags, Fügen Sie den ersten Tag hinzu!