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CFP MapReduce Special Issue of CCPE 2010 : CFP for Special Issue on MapReduce and its Applications (Concurrency and Computation: Practice & Experience)

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Submission Deadline Sep 15, 2010
Categories    parallel compouting   cloud computing   distributed computing
 

Call For Papers

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CALL FOR PAPERS

Concurrency and Computation: Practice & Experience

Special Issue on MapReduce and its Applications

Submission deadline : September 15, 2010
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The Wiley's Journal Concurrency and Computation: Practice & Experience (formerly: Concurrency: Practice & Experience) will publish a special issue on the MapReduce Programming Model and its Applications.

Since its introduction in 2004 by Google, MapReduce has become the programming model of choice for processing large data sets. MapReduce borrows from functional programming, where a programmer can define both a Map task that maps a data set into another data set, and a Reduce task that combines intermediate outputs into a final result. Although MapReduce was originally developed for use by web enterprises in large data-centers, this technique has gained a lot of attention from the scientific community for its applicability in large parallel data analysis (including geographic, high energy physics, genomics, etc..).

The purpose of this special issue is to focus on recent advances in the developments of tools, applications and environments for MapReduce (or very similar) systems. We therefore cordially invite contributions that investigate these issues, introduce new execution environments, apply performance evaluations and show the applicability to science and enterprise applications.

As such, we invite submissions on MapReduce topics including the following:

* MapReduce implementation issues and improvements
* Implementation optimization for GPU and multi-core systems
* Extensions to the programing model
* Large-scale MapReduce (Grid and Desktop Grid)
* Use of CDN and P2P techniques
* Heterogeneity and fault-tolerance
* Scientific data-sets analysis
* Data and compute-intensive applications
* Tools and environments for MapReduce
* Algorithms using the MapReduce paradigm

Submission Deadline

* Manuscript submission deadline : September 15, 2010
Early submission encouraged

Submission Details

Manuscripts formatted along the guidelines for authors of the Concurrency and Computation: Practice & Experience Journal must be submitted online by September, 15 2010. Manuscripts are typically 15 pages in length, and should not exceed 20 pages.

Special Issue Editors

Gilles Fedak, INRIA/LIP (contact: Gilles.Fedak@inria.fr)
Geoffrey Fox, Indiana University

Editor-in-Chief
Geoffrey Fox, Indiana University
Luc Moreau, University of Southampton


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