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Using Cloud Computing to Accelerate Large Spatial Data Sharing

Li, Jiyuan, Wang, Frank Z., Meng, Lingkui (2012) Using Cloud Computing to Accelerate Large Spatial Data Sharing. In: UNSPECIFIED. (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)

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. (Contact us about this Publication)
Official URL
http://www.cs.kent.ac.uk/pubs/2012/3196

Abstract

Attempting to share or access spatial data across the Internet proves to be a frustrating and time-consuming experience. To provide a âlocal-likeâ performance, a WAN/cloud-optimized protocol known as âCloudJetâ developed at our lab was used as the underlying multi-stream/multi-path engine. The results demonstrate that it's capable to deal with long-distance, cross-domain spatial data access and transfer up to several times.

Item Type: Conference or workshop item (Paper)
Uncontrolled keywords: determinacy analysis, Craig interpolants
Subjects: Q Science > QA Mathematics (inc Computing science) > QA 76 Software, computer programming,
Divisions: Faculties > Sciences > School of Computing > Data Science
Depositing User: Frank Wang
Date Deposited: 21 Sep 2012 09:49 UTC
Last Modified: 06 Feb 2020 04:07 UTC
Resource URI: https://kar.kent.ac.uk/id/eprint/30825 (The current URI for this page, for reference purposes)
Wang, Frank Z.: https://orcid.org/0000-0003-4378-2172
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