Wang, F.Z. and Helian, Na and Wu, Sining and Guo, Yike and Yuhui Deng, D. and Meng, Lingkui and Zhang, Wen and Crowncroft, J. and Bacon, J. and Parker, M.A. (2009) Eight Times Acceleration of Geospatial Data Archiving and Distribution on the Grids. Geoscience and Remote Sensing, IEEE Transactions on, 47 Iss . pp. 182-196. ISSN 0196-2892.
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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.
|Uncontrolled keywords:||determinacy analysis, Craig interpolants|
|Subjects:||Q Science > QA Mathematics (inc Computing science) > QA 76 Software, computer programming,|
|Divisions:||Faculties > Science Technology and Medical Studies > School of Computing > Future Computing Group|
|Depositing User:||Sining Wu|
|Date Deposited:||21 Sep 2012 09:49|
|Last Modified:||21 Sep 2012 09:49|
|Resource URI:||http://kar.kent.ac.uk/id/eprint/30606 (The current URI for this page, for reference purposes)|
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