Building an Elastic Parallel OGC Web Processing Service on a Cloud-Based Cluster: A Case Study of Remote Sensing Data Processing Service
Building an Elastic Parallel OGC Web Processing Service on a Cloud-Based Cluster: A Case Study of Remote Sensing Data Processing Service
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DOI：
10.3390/su71014245
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发表时间：
2015-10
期刊：
影响因子：
3.9
通讯作者：
Xicheng Tan;L. Di;M. Deng;Jing Fu;Guiwei Shao;Meng Gao;Ziheng Sun;Xinyue Ye;Z. Sha;
中科院分区：
文献类型：
--
作者：
Xicheng Tan;L. Di;M. Deng;Jing Fu;Guiwei Shao;Meng Gao;Ziheng Sun;Xinyue Ye;Z. Sha;
自从开放地理空间联盟(OGC)提出地理空间Web处理服务(WPS)以来，基于标准OGC Web服务(OWS)的地理空间处理已经成为分布式地理空间应用的主要类型。然而，提高分布式地理空间应用的性能和可持续性已经成为OWSS面临的主要挑战。提出了在云计算集群上构建弹性并行OGC WPS服务，设计了高性能的云计算WPS服务体系结构、云的可伸缩性方案和弹性并行地理处理算法。遥感数据处理服务的实验表明，该方法可以提供更高性能的、占用更少计算资源的WPS服务。我们提出的方法还可以帮助机构降低硬件成本，提高硬件使用率，并节省能源，这对于构建绿色和可持续的地理空间服务或应用程序非常重要。
Since the Open Geospatial Consortium (OGC) proposed the geospatial Web Processing Service (WPS), standard OGC Web Service (OWS)-based geospatial processing has become the major type of distributed geospatial application. However, improving the performance and sustainability of the distributed geospatial applications has become the dominant challenge for OWSs. This paper presents the construction of an elastic parallel OGC WPS service on a cloud-based cluster and the designs of a high-performance, cloud-based WPS service architecture, the scalability scheme of the cloud, and the algorithm of the elastic parallel geoprocessing. Experiments of the remote sensing data processing service demonstrate that our proposed method can provide a higher-performance WPS service that uses less computing resources. Our proposed method can also help institutions reduce hardware costs, raise the rate of hardware usage, and conserve energy, which is important in building green and sustainable geospatial services or applications.