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  5. SmartGridRPC: The new RPC model for high performance Grid computing
 
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SmartGridRPC: The new RPC model for high performance Grid computing

Author(s)
Brady, Thomas  
Dongarra, Jack  
Guidolin, Michele  
Lastovetsky, Alexey  
Seymour, Keith  
Uri
http://hdl.handle.net/10197/12384
Date Issued
2009-10
Date Available
2021-08-09T11:28:41Z
Abstract
The paper presents the SmartGridRPC model, an extension of the GridRPC model, which aims to achieve higher performance. The traditional GridRPC provides a programming model and API for mapping individual tasks of an application in a distributed Grid environment, which is based on the client-server model characterised by the star network topology. SmartGridRPC provides a programming model and API for mapping a group of tasks of an application in a distributed Grid environment, which is based on the fully connected network topology. The SmartGridRPC programming model and API, its implementation in SmartGridSolve and its performance advantages over the GridRPC model are outlined in this paper. In addition, experimental results using a real-world application are also presented.
Sponsorship
Science Foundation Ireland
Other Sponsorship
IBM
Type of Material
Technical Report
Publisher
University College Dublin. School of Computer Science and Informatics
Series
UCD CSI Technical Reports
ucd-csi-2009-10
Copyright (Published Version)
2009 the Authors
Subjects

Remote procedure call...

Grid computing

SmartGridRPC

SmartGridSolve

Web versions
https://web.archive.org/web/20080226040105/http:/csiweb.ucd.ie/Research/TechnicalReports.html
Language
English
Status of Item
Not peer reviewed
This item is made available under a Creative Commons License
https://creativecommons.org/licenses/by-nc-nd/3.0/ie/
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ucd-csi-2009-10.pdf

Size

1.8 MB

Format

Adobe PDF

Checksum (MD5)

e1e04a30eef0fdfd0ad779eb322f6377

Owning collection
Computer Science and Informatics Technical Reports

Item descriptive metadata is released under a CC-0 (public domain) license: https://creativecommons.org/public-domain/cc0/.
All other content is subject to copyright.

For all queries please contact research.repository@ucd.ie.

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