Workshop: Mapreduce’12 – 3rd International Workshop on Mapreduce and its applications)

If you are interested in Mapreduce or Hadoop I recommend submitting to or attending the following workshop.

The Third International Workshop on MapReduce and its Applications (MAPREDUCE’12)
June 18-19, 2012 HPDC’2012, Delft, the Netherlands.
http://graal.ens-lyon.fr/mapreduce/

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.

Papers should be submitted here: TO BE ANNOUNCED ON WEBSITE

IMPORTANT DATES
===============

– Manuscript submission deadline : February 25, 2012
– Acceptance notification : March 26, 2012
– Camera-ready paper deadline : April 16, 2012
– Workshop dates : June 18-19, 2012

ORGANIZATION COMMITTEE
======================

General Chairs
==============

– Gilles Fedak, INRIA/LIP (contact: gilles.fedak@inria.fr)
– Geoffrey Fox, Indiana University (contact: gcf@cs.indiana.edu)

Program Chair
=============

Simon Delamare, INRIA/LIP (contact: simon.delamare@inria.fr)

Publicity chair
===============

Haiwu He, INRIA/LIP (contact: haiwu.he@inria.fr)

PROGRAM COMMITTEE
=================

– Alexandre de Assis Bento Lima, Federal University of Rio de Janeiro
– Amund Tveit, Atbrox
– Carlo Mastroianni, ICAR-CNR
– Christian Engelmann, Oak Ridge National Laboratory
– Francisco V. Brasileiro, Federal University of Campina Grande
– Frédéric Suter, IN2P3/CNRS
– Gabriel Antoniu, INRIA
– Heithem Abbes, Faculty of Sciences of Tunis
– Heshan Lin, Virginia Polytechnic Institute and State University
– Hidemoto Nakada, AIST
– Jerry Zhao, Google (tech.lead for Google’s Mapreduce team, sorting PetaBytes)
– José A.B. Fortes, University of Florida
– Judy Qiu, Indiana University
– Michael C. Schatz, Cold Spring Harbor Laboratory
– Oleg Lodygensky, CNRS
– Shantenu Jha, Louisiana State University
– Xuanhuan Shi, Huazhong University of Science and Technology
– Yang Yang, Netflix

Best regards,
Amund Tveit, Atbrox

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Workshop: Searching for fun

If you are interested in search I recommend you to consider submitting a paper to or attending the Searching 4 fun workshop* (I just joined as a program committee member) which is going to be held in Barcelona in April 2012.

Call for Papers
The topics of the workshop will be evaluation focused and include but are not be limited to:

  • Understanding information needs and search behaviour in casual-leisure situations.
  • How existing systems are used in casual-leisure searching scenarios.
  • Systems / Interfaces / Algorithmic approaches to supporting Search in Casual-leisure situations.
  • Use of Recommender Systems for Entertaining Content (books, movies, videos, music, websites).
  • Modelling of users interests and generation of accurate and appropriate user profiles.
  • Interfaces for exploratory search for casual-leisure situations.
  • Evaluation (methods, metrics) of Casual-leisure searching situations.

We are seeking short 2-4 page position papers in this area, or short papers reporting early or formative results in the area of searching for fun.

Reviewing and Publishing

Papers will be reviewed by an international program committee, and we intend to publish the accepted papers using the CEUR Workshop Proceedings service.

Submissions

Participants should submit anonymised 2-4 page ACM format PDFs to the easychair page. More details are in our submissions page.

Organizers

Program Committee

Twitter
We’ll be using the #search4fun hashtag where possible
(ECIR Conference Twitter account is @ecir2012)

Link to web pages for the workshop: fitlab.eu/searching4fun/cfp.php

(* at the 34th European Conference on Information Retrieval – ECIR 2012)

Best regards,
Amund Tveit

Posted in cfp, entertainment, information retrieval, query intent, search, workshop | Leave a comment

Mapreduce & Hadoop Algorithms in Academic Papers (5th update – Nov 2011)

The prior update of this posting was in May, and a lot has happened related to Mapreduce and Hadoop since then, e.g.
1) big software companies have started offering hadoop-based software (Microsoft and Oracle), 2) Hadoop-startups have raised record amounts, and 3) nosql-landscape becoming increasingly datawarehouse’ish and sql’ish with the focus on high-level data processing platforms and query languages.

Personally I have rediscovered Hadoop Pig and combine it with UDFs and streaming as my primary way to implement mapreduce algorithms here in Atbrox.

Best regards,
Amund Tveit (twitter.com/atveit)

Changes from the prior postings is that this posting only includes _new_ papers (2011):

Artificial Intelligence/Machine Learning/Data Mining

Bioinformatics/Medical Informatics

Image and Video Processing

Statistics and Numerical Mathematics

Search and Information Retrieval

Sets & Graphs

Simulation

Social Networks

Spatial Data Processing

Text Processing

Posted in hadoop, machine learning, mapreduce | 7 Comments

Mapreduce & Hadoop Algorithms in Academic Papers (4th update – May 2011)


It’s been a year since I updated the mapreduce algorithms posting last time, and it has been truly an excellent year for mapreduce and hadoop – the number of commercial vendors supporting it has multiplied, e.g. with 5 announcements at EMC World only last week (Greenplum, Mellanox, Datastax, NetApp, and Snaplogic) and today’s Datameer funding announcement , which benefits the mapreduce and hadoop ecosystem as a whole (even for small fish like us here in Atbrox). The work-horse in mapreduce is the algorithm, this update has added 35 new papers compared to the prior posting, new ones are marked with *. I’ve also added 2 new categories since the last update – astronomy and social networking.

Motivation
Learn from academic literature about how the mapreduce parallel model and hadoop implementation is used to solve algorithmic problems.

Which areas do the papers cover?

Author organizations and companies?
Companies: China Mobile, eBay, Google, Hewlett Packard and Intel, Microsoft, Wikipedia, Yahoo and Yandex.
Government Institutions and Universities: US National Security Agency (NSA)
, Carnegie Mellon University, TU Dresden, University of Pennsylvania, University of Central Florida, National University of Ireland, University of Missouri, University of Arizona, University of Glasgow, Berkeley University and National Tsing Hua University, University of California, Poznan University, Florida International University, Zhejiang University, Texas A&M University, University of California at Irvine, University of Illinois, Chinese Academy of Sciences, Vrije Universiteit, Engenharia University, State University of New York, Palacky University, University of Texas at Dallas

Atbrox on LinkedIn

Btw: I would like to recommend:

  1. Mapreduce bibliography maintained by (Cloudera co-founder) Jeff Hammerbacher
  2. (the excellent) book – Data-Intensive Text Processing with Mapreduce by (UMD’s/Twitter’s) Jimmy Lin and Christopher Dyer.

Let me know if you have input/corrections/feedback to this posting – amund @\h@ atbrox.com – or @atveit or @atbrox on twitter.

Best regards,
Amund Tveit (Atbrox co-founder)

Posted in Atbrox, cloud computing, Hadoop and Mapreduce | 16 Comments

Mapreduce in Search

Wrote about mapreduce in search in a presentation for next week.

(more up-to-date pdf version of the presentation)

Best regards,
Amund
Atbrox

Posted in Atbrox, Hadoop and Mapreduce, infrastructure, search | Tagged , , | 2 Comments