DECENTRALIZED ORCHESTRATION of COMPOSITE OGC WEB PROCESSING SERVICES in the CLOUD

F. Xiao, Yu Kai Geoffrey Shea, J. Cao

Research output: Journal article publicationConference articleAcademic researchpeer-review

Abstract

Current web-based GIS or RS applications generally rely on centralized structure, which has inherent drawbacks such as single points of failure, network congestion, and data inconsistency, etc. The inherent disadvantages of traditional GISs need to be solved for new applications on Internet or Web. Decentralized orchestration offers performance improvements in terms of increased throughput and scalability and lower response time. This paper investigates build time and runtime issues related to decentralized orchestration of composite geospatial processing services based on OGC WPS standard specification. A case study of dust storm detection was demonstrated to evaluate the proposed method and the experimental results indicate that the method proposed in this study is effective for its ability to produce the high quality solution at a low cost of communications for geospatial processing service composition problem.
Original languageEnglish
Pages (from-to)125-130
Number of pages6
JournalISPRS Annals of the Photogrammetry, Remote Sensing and Spatial Information Sciences
Volume4
Issue number4W1
DOIs
Publication statusPublished - 5 Sep 2016
Event1st International Conference on Smart Data and Smart Cities 2016, at 30th Urban Data Management Society Conference, UDMS 2016 - Split, Croatia
Duration: 7 Sep 20169 Sep 2016

ASJC Scopus subject areas

  • Earth and Planetary Sciences (miscellaneous)
  • Environmental Science (miscellaneous)
  • Instrumentation

Cite this