DocumentCode
2194205
Title
Meandre: Semantic-Driven Data-Intensive Flows in the Clouds
Author
Llora, X. ; Acs, B. ; Auvil, Loretta S. ; Capitanu, Boris ; Welge, Michael E. ; Goldberg, David E.
Author_Institution
Nat. Center for Supercomput. Applic., Univ. of Illinois at Urbana-Champaign, Urbana, IL, USA
fYear
2008
fDate
7-12 Dec. 2008
Firstpage
238
Lastpage
245
Abstract
Data-intensive flow computing allows efficient processing of large volumes of data otherwise unapproachable. This paper introduces a new semantic-driven data-intensive flow infrastructure which: (1) provides a robust and transparent scalable solution from a laptop to large-scale clusters,(2) creates an unified solution for batch and interactive tasks in high-performance computing environments, and (3) encourages reusing and sharing components. Banking on virtualization and cloud computing techniques the Meandre infrastructure is able to create and dispose Meandre clusters on demand, being transparent to the final user. This paper also presents a prototype of such clustered infrastructure and some results obtained using it.
Keywords
data flow computing; object-oriented programming; semantic Web; software reusability; virtual machines; Meandre infrastructure; batch task; cloud computing; component reuse; component sharing; high-performance computing environment; interactive task; large-scale cluster; semantic Web-driven data-intensive flow computing; virtualization; Cloud computing; Computer industry; Data engineering; Data flow computing; Genetic algorithms; Genetic engineering; Laboratories; Large-scale systems; Portable computers; Robustness;
fLanguage
English
Publisher
ieee
Conference_Titel
eScience, 2008. eScience '08. IEEE Fourth International Conference on
Conference_Location
Indianapolis, IN
Print_ISBN
978-1-4244-3380-3
Electronic_ISBN
978-0-7695-3535-7
Type
conf
DOI
10.1109/eScience.2008.172
Filename
4736763
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