Title
Collaborative data visualization for earth sciences with the OptIPuter
Abstract
Collaborative visualization of large-scale datasets across geographically distributed sites is becoming increasingly important for Earth Sciences. Not only does it enhance our understanding of the geological systems, but also enables near-real-time scientific data acquisition and exploration across distant locations. While such a collaborative environment is feasible with advanced optical networks and resource sharing in the form of Grid, many technical challenges remain: (1) on-demand discovery, selection and configuration of supporting end and network resources; (2) construction of applications on heterogeneous, distributed environments; and (3) use of novel exotic transport protocols to achieve high performance. To address these issues, we describe the multi-layered OptIPuter middleware technologies, including simple resource abstractions, dynamic network provisioning, and novel data transport services. In this paper, we present an evaluation of the first integrated prototype of the OptIPuter system software recently demonstrated at iGrid 2005, which successfully supports real-time collaborative visualizations of 3D multigigabyte earth science datasets.
Year
DOI
Venue
2006
10.1016/j.future.2006.03.023
Future Generation Comp. Syst.
Keywords
Field
DocType
advanced optical network,collaborative data visualization,dynamic network,earth sciences,novel transport protocol,novel data transport service,collaborative environment,multi-layered optiputer middleware technology,network resource,large-scale datasets,resource abstractions,optiputer system software,configurable optical networks,near-real-time scientific data acquisition,multigigabyte earth science datasets,grid middleware,distributed environment,scientific data,real time,transport protocol,middleware,data visualization,resource sharing,near real time
System software,Dynamic network analysis,Middleware,Data visualization,Visualization,Computer science,Earth science,Provisioning,Shared resource,Grid,Distributed computing
Journal
Volume
Issue
ISSN
22
8
Future Generation Computer Systems
Citations 
PageRank 
References 
11
0.63
13
Authors
10
Name
Order
Citations
PageRank
Nut Taesombut1433.60
Xinran Wu2234.02
Andrew A. Chien33696405.97
Atul Nayak4385.19
Bridget Smith5110.97
Debi Kilb6274.11
Thomas Im7110.63
Dane Samilo8110.63
Graham Kent9201.30
John Orcutt10110.63