Building an elastic parallel OGC web processing service on a cloud-based cluster: A case study of remote sensing data processing service

Xicheng Tan, Liping Di, Meixia Deng, Jing Fu, Guiwei Shao, Meng Gao, Ziheng Sun, Xinyue Ye, Zongyao Sha, Baoxuan Jin

Research output: Contribution to journalArticlepeer-review

11 Scopus citations

Abstract

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.

Original languageEnglish (US)
Pages (from-to)14245-14258
Number of pages14
JournalSustainability (Switzerland)
Volume7
Issue number10
DOIs
StatePublished - 2015
Externally publishedYes

All Science Journal Classification (ASJC) codes

  • Geography, Planning and Development
  • Renewable Energy, Sustainability and the Environment
  • Management, Monitoring, Policy and Law

Keywords

  • Cloud computing
  • Geospatial service
  • Open Geospatial Consortium (OGC)
  • Parallel computing

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