Ganos Aero:用于大栅格数据管理和处理的云原生系统

IF 2.6 3区 计算机科学 Q2 COMPUTER SCIENCE, INFORMATION SYSTEMS
Fei Xiao, Jiong Xie, Zhida Chen, Feifei Li, Zhen Chen, Jianwei Liu, Yinpei Liu
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引用次数: 0

摘要

对地观测技术的发展促进了大量栅格数据的产生。对栅格数据进行管理和分析是至关重要的。现有的解决方案分别采用专用系统进行栅格数据的管理和处理,存在数据冗余、更新困难、数据传输和转换成本高等问题。为了应对这些限制,本演示展示了Ganos Aero,一个用于大栅格数据管理和处理的云原生系统。Ganos Aero为数据管理和处理提出了统一的栅格数据模型,该模型存储栅格数据的单一副本,无需执行昂贵的平铺过程,从而显著提高了存储和更新效率。为了实现高效的查询和批处理任务,Ganos Aero实现了一种即时瓷砖生产机制,并使用云特性优化其性能,包括将计算与存储分离,并将昂贵的操作推到更靠近存储层的位置。自2022年部署到阿里云以来,Ganos Aero在现代农业、环境监测和保护等许多实际应用中发挥了关键作用。
本文章由计算机程序翻译,如有差异,请以英文原文为准。
Ganos Aero: A Cloud-Native System for Big Raster Data Management and Processing
The development of Earth Observation technology contributes to the production of massive raster data. It is vital to manage and conduct analytical tasks on the raster data. Existing solutions employ dedicated systems for the raster data management and processing, respectively, incurring problems such as data redundancy, difficulty in updating, expensive data transferring and transformation, etc. To cope with these limitations, this demonstration presents Ganos Aero, a cloud-native system for big raster data management and processing. Ganos Aero proposes a unified raster data model for both the data management and processing, which stores a single copy of the raster data and without performing an expensive tiling procedure, and thus achieves significant improvement in the storage and updating efficiency. To enable efficient query and batch task processing, Ganos Aero implements an on-the-fly tile production mechanism, and optimizes its performance using the cloud features including decoupling compute from storage and pushing costly operations closer to the storage layer. Since deployed in Alibaba Cloud in 2022, Ganos Aero has been playing a critical role in many real applications including the modern agriculture, environment monitoring and protection, et al.
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来源期刊
Proceedings of the Vldb Endowment
Proceedings of the Vldb Endowment Computer Science-General Computer Science
CiteScore
7.70
自引率
0.00%
发文量
95
期刊介绍: The Proceedings of the VLDB (PVLDB) welcomes original research papers on a broad range of research topics related to all aspects of data management, where systems issues play a significant role, such as data management system technology and information management infrastructures, including their very large scale of experimentation, novel architectures, and demanding applications as well as their underpinning theory. The scope of a submission for PVLDB is also described by the subject areas given below. Moreover, the scope of PVLDB is restricted to scientific areas that are covered by the combined expertise on the submission’s topic of the journal’s editorial board. Finally, the submission’s contributions should build on work already published in data management outlets, e.g., PVLDB, VLDBJ, ACM SIGMOD, IEEE ICDE, EDBT, ACM TODS, IEEE TKDE, and go beyond a syntactic citation.
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