Frontiers of Data and Computing ›› 2025, Vol. 7 ›› Issue (2): 60-67.

CSTR: 32002.14.jfdc.CN10-1649/TP.2025.02.007

doi: 10.11871/jfdc.issn.2096-742X.2025.02.007

• Special Issue: 10th Anniversary of China Science & Technology Cloud • Previous Articles     Next Articles

Research of Cryosphere Scientific Data Intelligent Production Service System on China Science and Technology Cloud

ZHAO Yanbo1,2(),ZHANG Yaonan1,2,*(),JIA Jixiang1,2   

  1. 1. Northwest Institute of Eco-Environment and Resources, Chinese Academy of Sciences, Lanzhou, Gansu 730000, China
    2. National Cryosphere Desert Data Center, Lanzhou, Gansu 730000, China
  • Received:2025-03-03 Online:2025-04-20 Published:2025-04-23
  • Contact: ZHANG Yaonan E-mail:zhaoyanbo@nieer.ac.cn;yaonan@lzb.ac.cn

Abstract:

[Objective] This paper introduces the research and development characteristics and advantages of an intelligent cryosphere data production system integrated with the Chinese Science and Technology Cloud (CSTCloud). The system achieves intelligent scheduling of cryosphere models and distributed computing/storage infrastructure through standardized cloud service interfaces, enabling cross-platform accessibility and interoperability of multi-source heterogeneous datasets. [Methods] The system implements an intelligent workflow management framework for scientific data production, establishing a graph-based computing architecture to enable centralized orchestration of cryospheric element data models. Through standardized cloud service interfaces within CSTCloud, the system achieves unified orchestration of distributed data assets, cryosphere models, and computing resources. Production workflows are atomized into discrete task units, with intelligent scheduling algorithms dynamically allocating resources from virtualized pools, thereby optimizing utilization efficiency and operational throughput. [Conclusions] The intelligent production service system of cryosphere scientific data, which adopts the cloud-based service concept of CSTCloud, has significantly improved the production efficiency and quality of cryosphere scientific data, and established a reliable data foundation for cryosphere scientific research.

Key words: cryosphere, CSTCloud, intelligent production system, data services