DocumentCode
2482040
Title
Ibis: Real-world problem solving using real-world grids
Author
Bal, H.E. ; Drost, N. ; Kemp, R. ; Maassen, J. ; van Nieuwpoort, R.V. ; van Reeuwijk, C. ; Seinstra, F.J.
Author_Institution
Dept. of Comput. Sci., Vrije Univ., Amsterdam, Netherlands
fYear
2009
fDate
23-29 May 2009
Firstpage
1
Lastpage
8
Abstract
Ibis is an open source software framework that drastically simplifies the process of programming and deploying large-scale parallel and distributed grid applications. Ibis supports a range of programming models that yield efficient implementations, even on distributed sets of heterogeneous resources. Also, Ibis is specifically designed to run in hostile grid environments that are inherently dynamic and faulty, and that suffer from connectivity problems. Recently, Ibis has been put to the test in two competitions organized by the IEEE Technical Committee on Scalable Computing, as part of the CCGrid 2008 and Cluster/Grid 2008 international conferences. Each of the competitions´ categories focused either on the aspect of scalability, efficiency, or fault-tolerance. Our Ibis-based applications have won the first prize in all of these categories. In this paper we give an overview of Ibis, and - to exemplify its power and flexibility - we discuss our contributions to the competitions, and present an overview of our lessons learned.
Keywords
grid computing; problem solving; public domain software; software fault tolerance; Ibis; distributed grid applications; fault-tolerance; hostile grid environments; open source software framework; parallel grid applications; real-world grids; real-world problem solving; Application software; Computer science; Data analysis; Distributed computing; Grid computing; Large-scale systems; Open source software; Problem-solving; Programming profession; Resource management;
fLanguage
English
Publisher
ieee
Conference_Titel
Parallel & Distributed Processing, 2009. IPDPS 2009. IEEE International Symposium on
Conference_Location
Rome
ISSN
1530-2075
Print_ISBN
978-1-4244-3751-1
Electronic_ISBN
1530-2075
Type
conf
DOI
10.1109/IPDPS.2009.5160960
Filename
5160960
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