-------- Original-Nachricht -------- Betreff: [computational.science] CFP Workshop on MapReduce and its Application (with HPDC'2010) Datum: Mon, 04 Jan 2010 10:40:59 +0100 Von: Gilles Fedak Gilles.Fedak@inria.fr Organisation: "ICCSA" An: Computational Science Mailing List computational.science@lists.iccsa.org

(our apologies if you receive this announcement multiple times)

------------------------------------------------------------------- CALL FOR PAPERS

The First International Workshop on

MapReduce and its Applications (MAPREDUCE'10)

June 22nd, 2010 HPDC'2010, Chicago, IL, USA

(http://graal.ens-lyon.fr/mapreduce/)

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SCOPE

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 the workshop is to provide a forum for discussing recent advances, identifying open issues, introducing developments and tools, and presenting applications and enhancements 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. TOPICS OF INTEREST

* 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

PAPER SUBMISSIONS

Authors are invited to submit full papers of at most 8 pages, including all figures and references. Papers should be formatted in the ACM proceedings style (e.g., http://www.acm.org/sigs/publications/proceedings-templates). Submitted papers must be original work that has not appeared in and is not under consideration for another conference or a journal. Accepted papers will be published by ACM in the conference workshops proceedings.

IMPORTANT DATES

* Manuscript submission deadline : February 15, 2010 * Acceptance notification : March 20, 2010 * Camera-ready paper deadline : April 10, 2010 * Workshop dates : June 22, 2010

ORGANIZATION COMMITTEE

General Chairs

Gilles Fedak, INRIA/LIP Geoffrey Fox, Indiana University

Program chair

Haiwu He, INRIA/Hohai University

PROGRAM COMMITTEE

* Gabriel Antoniu, INRIA * Alexandre de Assis Bento Lima, Federal University of Rio de Janeiro * Francisco V. Brasileiro, Federal University of Campina Grande * Rajkumar Buyya, University of Melbourne * George Bosilca, University of Tennessee Knoxville * Franck Cappello, JointLab INRIA UUIC * Eddy Caron, ENS-Lyon * Christian Engelmann, Oak Ridge National Laboratory * Shantenu Jha, Louisiana State University * Ian Kelley, Cardiff University * Oleg Lodygensky, CNRS * Carlo Mastroianni, ICAR-CNR * Hidemoto Nakada, AIST * Matei Ripeanu, University of Britsh Columbia * Xuanhuan Shi, Huazhong University of Science and Technology * Frédéric Suter, CNRS/IN2P3 * Patrick Valduriez, INRIA * Sudharshan Vazhkudai, Oak Ridge National Laboratory

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