ISPRS Ann. Photogramm. Remote Sens. Spatial Inf. Sci., IV-4/W1, 125-130, 2016
http://www.isprs-ann-photogramm-remote-sens-spatial-inf-sci.net/IV-4-W1/125/2016/
doi:10.5194/isprs-annals-IV-4-W1-125-2016
 
05 Sep 2016
DECENTRALIZED ORCHESTRATION OF COMPOSITE OGC WEB PROCESSING SERVICES IN THE CLOUD
F. Xiao, G. Y. K. Shea, and J. Cao Department of Land Surveying and Geo-Informatics, The Hong Kong Polytechnic University, Hong Kong
Keywords: Geospatial Cloud Computing, Sensor Web, P2P Networking, Hypercube topology, HyperCGSF 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.
Conference paper (PDF, 1440 KB)


Citation: Xiao, F., Shea, G. Y. K., and Cao, J.: DECENTRALIZED ORCHESTRATION OF COMPOSITE OGC WEB PROCESSING SERVICES IN THE CLOUD, ISPRS Ann. Photogramm. Remote Sens. Spatial Inf. Sci., IV-4/W1, 125-130, doi:10.5194/isprs-annals-IV-4-W1-125-2016, 2016.

BibTeX EndNote Reference Manager XML