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Content Provider | IEEE Xplore Digital Library |
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Author | Kurzyniec, D. Vaidy Sunderam |
Copyright Year | 2005 |
Description | Author affiliation: Dept. of Math. & Comput. Sci., Emory Univ., Atlanta, GA, USA (Kurzyniec, D.; Vaidy Sunderam) |
Abstract | We observe increasing interest in aggregating geographically distributed, heterogeneous resources to perform large scale computations. MPI remains the most popular programming paradigm for such applications; however, as the size of computing environments increases, fault tolerance aspects become critically important. We argue that the fault tolerance model proposed by FT-MPI fits well in geographically distributed environments, even though its current implementation is confined to a single administrative domain. We propose to overcome these limitations by combining FT-MPI with the H2O resource sharing framework. Our approach allows users to run fault tolerant MPI programs on heterogeneous, geographically distributed shared machines, without sacrificing performance and with minimal involvement of resource providers. |
Sponsorship | IEEE Comput. Soc. Tech. Comm. on Parallel Process |
File Size | 798454 |
File Format | |
ISBN | 0769523129 |
DOI | 10.1109/IPDPS.2005.141 |
Language | English |
Publisher | Institute of Electrical and Electronics Engineers, Inc. (IEEE) |
Publisher Date | 2005-04-04 |
Publisher Place | USA |
Access Restriction | Subscribed |
Rights Holder | Institute of Electrical and Electronics Engineers, Inc. (IEEE) |
Subject Keyword | Water Fault tolerance Large-scale systems Resource management Middleware Computer science Distributed computing Application software Computer architecture Current measurement |
Content Type | Text |
Resource Type | Article |
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