Eight Times Acceleration of Geospatial Data Archiving and Distribution on the Grids

Wang, Frank Z. and Helian, Na and Wu, Sining and Guo, Yike and Yuhui Deng, Derek and Meng, Lingkui and Zhang, Wen and Crowncroft, Jon and Bacon, Jean and Parker, Michael Andrew (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. (The full text of this publication is not currently available from this repository. You may be able to access a copy if URLs are provided)

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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.

Item Type: Article
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: 15 Apr 2014 14:13
Resource URI: https://kar.kent.ac.uk/id/eprint/30606 (The current URI for this page, for reference purposes)
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