CyberGIS-Cloud: A unified middleware framework for cloud-based geospatial research and education

CyberGIS-Cloud: A unified middleware framework for cloud-based geospatial research and education
复制标题

Cyber​​GIS-Cloud:用于基于云的地理空间研究和教育的统一中间件框架

DOI:
10.1145/3491418.3535148
复制
发表时间:
2022
期刊:
PEARC '22: Practice and Experience in Advanced Research Computing
影响因子:
--
通讯作者:
Wang, Shaowen
Wang, Shaowen
中科院分区:
--
文献类型:
--
作者:
Baig, Furqan;Michels, Alexander;Xiao, Zimo;Han, Su Yeon;Padmanabhan, Anand;Li, Zhiyu;Wang, Shaowen

文献摘要

参考文献

被引文献

相似文献

地理空间社区对基于云的网络基础设施的兴趣继续增长,以应对当代大数据挑战。部署在云上的分布式计算框架提供了可扩展和低维护的解决方案,以加速地理空间研究和教育。然而,对于科学家和研究人员来说,这些资源的使用受到学习各种平台特定工具和API的陡峭曲线的高度限制。本文介绍了CyberGIS-Cloud作为一个统一的中间件,通过易于使用的界面简化了多个云后端的分布式地理空间工作流的执行。CyberGIS-Cloud通过在数据驻留的云环境中托管的分布式资源上抽象和自动执行作业,将计算模型引入数据模型。我们介绍了CyberGIS-Cloud的详细信息,它支持以研究为导向的JetStream Cloud和商业Google Cloud Platform为支持的流行分布式计算框架。
Interest in cloud-based cyberinfrastructure continues to grow within the geospatial community to tackle contemporary big data challenges. Distributed computing frameworks, deployed over the cloud, provide scalable and low-maintenance solutions to accelerate geospatial research and education. However, for scientists and researchers, the usage of such resources is highly constrained by the steep curve for learning diverse sets of platform-specific tools and APIs. This paper presents CyberGIS-Cloud as a unified middleware to streamline the execution of distributed geospatial workflows over multiple cloud backends with easy-to-use interfaces. CyberGIS-Cloud employs bringing computation-to-data model by abstracting and automating job execution over distributed resources hosted in the cloud environment where the data resides. We present details of CyberGIS-Cloud with support for popular distributed computing frameworks backed by research-oriented JetStream Cloud and commercial Google Cloud Platform.
Skyway:将工作负载从本地 HPC 集群爆发到商业云的无缝解决方案
DOI: 10.1145/3437359.3465607
发表时间: 2021
期刊: Practice and Experience in Advanced Research Computing
影响因子: --
作者:
Yuxing Peng;J. Skone;Callista Christ;H. Runesha
通讯作者: H. Runesha
用于大规模地理空间分析的 Cyber​​GIS-Jupyter 框架
DOI: 10.1145/3093338.3093378
发表时间: 2017
期刊: Success and Impact
影响因子: --
作者:
Yin, Dandong;Liu, Yan;Padmanabhan, Anand;Terstriep, Jeff;Rush, Johnathan;Wang, Shaowen
通讯作者: Wang, Shaowen
Cyber​​GIS 计算用于实现计算密集型地理空间研究
DOI: 10.1145/3486189.3490017
发表时间: 2021
期刊: Proceedings of the 3rd ACM SIGSPATIAL International Workshop on APIs and Libraries for Geospatial Data Science (SpatialAPI’21
影响因子: --
作者:
Padmanabhan, Anand;Ziao, Ximo;Vandewalle, Rebecca C.;Baig, Furqan;Michel, Alexander;Li, Zhiyu;Wang, Shaowen
通讯作者: Wang, Shaowen
软件基础:新政策
DOI: --
发表时间: 1996
期刊:
影响因子: --
作者:
岁丰
通讯作者: 岁丰