School of Computing

Eight times acceleration of geospatial data archiving and distribution on the grids

F.Z. Wang, Na Helian, Sining Wu, Yike Guo, D. Yuhui Deng, Lingkui Meng, Wen Zhang, J. Crowncroft, J. Bacon, and M.A. Parker

Geoscience and Remote Sensing, IEEE Transactions on, 47 Issue:5:182-196, April 2009 [doi].


A grid-powered Web Geographical Information Science (GIS)Web Processing Service (WPS) system has been developed for archiving and distributing large volumes of geospatial data. However, users, WPS servers, and data resources are always distributed across different locations, attempting to access and archive geospatial data from a GIS survey via conventional Hypertext Transport Protocol, Network File System Protocol, and File Transfer Protocol, which often encounters long waits and frustration in wide area network (WAN) environments. To provide a ldquolocal-likerdquo performance, a WANgrid-optimized protocol known as ldquoGridJetrdquo developed at our lab was used as the underlying engine between WPS servers and clients, which utilizes a wide range of technologies including the one of paralleling the remote file access. No change in the way of using software is required since the multistreamed GridJet protocol remains fully compatible with the existing IP infrastructures. Our recent progress includes a real-world test that PyWPS and Google Earth over the GridJet protocol beat those over the classic ones by a factor of two to eight, where the distributionarchiving distance is over 10 000 km.

Download publication 816 kbytes (PDF)

Bibtex Record

author = {Wang, F.Z. and Na Helian and Sining Wu and Yike Guo and Yuhui Deng, D. and Lingkui Meng and Wen Zhang and Crowncroft, J. and Bacon, J. and Parker, M.A.},
title = {Eight Times Acceleration of Geospatial Data Archiving and Distribution on the Grids},
month = {April},
year = {2009},
pages = {182-196},
keywords = {determinacy analysis, Craig interpolants},
note = {},
doi = {10.1109/TGRS.2008.2010055},
url = {},
    publication_type = {article},
    submission_id = {22054_1294667849},
    ISSN = {0196-2892},
    journal = {Geoscience and Remote Sensing, IEEE Transactions on},
    volume = {47 Issue:5},
    publisher = {IEEE},

School of Computing, University of Kent, Canterbury, Kent, CT2 7NF

Enquiries: +44 (0)1227 824180 or contact us.

Last Updated: 21/03/2014