[Condor-users] Call for papers: First ACM Workshop on Scientific Cloud Computing (ScienceCloud) 2010

[Gabriel Mateescu <gabriel.mateescu@xxxxxxxxx>]

Call for Papers

---------------------------------------------------------------------------------------
1st ACM Workshop on Scientific Cloud Computing (ScienceCloud) 2010
http://dsl.cs.uchicago.edu/ScienceCloud2010/
---------------------------------------------------------------------------------------
June 21st, 2010
Chicago, Illinois, USA

Co-located with with ACM High Performance Distributed Computing
Conference (HPDC) 2010
=======================================================================================

Workshop Overview

The advent of computation can be compared, in terms of the breadth and
depth of its impact on research and scholarship, to the invention of
writing and the development of modern mathematics. Scientific
Computing has already begun to change how science is done, enabling
scientific breakthroughs through new kinds of experiments that would
have been impossible only a decade ago. Today's science is generating
datasets that are increasing exponentially in both complexity and
volume, making their analysis, archival, and sharing one of the grand
challenges of the 21st century. The support for data intensive
computing is critical to advancing modern science as storage systems
have experienced an increasing gap between its capacity and its
bandwidth by more than 10-fold over the last decade. There is an
emerging need for advanced techniques to manipulate, visualize and
interpret large datasets. Scientific Computing is the key to many
domains' "holy grail" of new knowledge, and comes in many shapes and
forms, from high-performance computing (HPC) which is heavily focused
on compute-intensive applications, high-throughput computing (HTC)
which focuses on using many computing resources over long periods of
time to accomplish its computational tasks, many-task computing (MTC)
which aims to bridge the gap between HPC and HTC by focusing on using
many resources over short periods of time, to data-intensive computing
which is heavily focused on data distribution and harnessing data
locality by scheduling of computations close to the data.

The 1st workshop on Scientific Cloud Computing (ScienceCloud) will
provide the scientific community a dedicated forum for discussing new
research, development, and deployment efforts in running these kinds
of scientific computing workloads on Cloud Computing infrastructures.
The ScienceCloud workshop will focus on the use of cloud-based
technologies to meet new compute intensive and data intensive
scientific challenges that are not well served by the current
supercomputers, grids or commercial clouds. What architectural changes
to the current cloud frameworks (hardware, operating systems,
networking and/or programming models) are needed to support science?
Dynamic information derived from remote instruments and coupled
simulation and sensor ensembles are both important new science
pathways and tremendous challenges for current HPC/HTC/MTC
technologies.  How can cloud technologies enable these new scientific
approaches? How are scientists using clouds? Are there scientific
HPC/HTC/MTC workloads that are suitable candidates to take advantage
of emerging cloud computing resources with high efficiency? What
benefits exist by adopting the cloud model, over clusters, grids, or
supercomputers?  What factors are limiting clouds use or would make
them more usable/efficient?

This workshop encourages interaction and cross-pollination between
those developing applications, algorithms, software, hardware and
networking, emphasizing scientific computing for such cloud platforms.
We believe the workshop will be an excellent place to help the
community define the current state, determine future goals, and define
architectures and services for future science clouds.

Topics of Interest
---------------------------------------------------------------------------------------
We invite the submission of original work that is related to the topics below.

The papers can be either short (5 pages) position papers, or long (10
pages) research papers.
Topics of interest include (in the context of Cloud Computing):

*  scientific computing applications
       o       case studies on cloud computing
       o       case studies comparing clouds, cluster, grids,
                and/or supercomputers
       o       performance evaluation

*  performance evaluation
       o       real systems
       o       cloud computing benchmarks
       o       reliability of large systems

*  programming models and tools
       o       map-reduce and its generalizations
       o       many-task computing middleware and applications
       o       integrating parallel programming frameworks with storage clouds
       o       message passing interface (MPI)
       o       service-oriented science applications

*  storage cloud architectures and implementations
       o       distributed file systems
       o       content distribution systems for large data
       o       data caching frameworks and techniques
       o       data management within and across data centers
       o       data-aware scheduling
       o       data-intensive computing applications
       o       eventual-consistency storage usage and management

*  compute resource management
       o       dynamic resource provisioning
       o       scheduling
       o       techniques to manage many-core resources and/or GPUs

*  high-performance computing
       o       high-performance I/O systems
       o       interconnect and network interface architectures for HPC
       o       multi-gigabit wide-area networking
       o       scientific computing tradeoffs between
                clusters/grids/supercomputers and clouds
       o       parallel file systems in dynamic environments

* models, frameworks and systems for cloud security
       o       implementation of access control and scalable isolation


Paper Submission and Publication
---------------------------------------------------------------------------------------

Authors are invited to submit papers with unpublished, original work
of not more than 10 pages of double column text using single spaced
10 point size on 8.5 x 11 inch pages, (including all text, figures,
and references) as per ACM 8.5 x 11 manuscript guidelines
(http://www.acm.org/publications/instructions_for_proceedings_volumes);
document templates can be found at
http://www.acm.org/sigs/publications/proceedings-templates.

A 250 word abstract (PDF format) must be submitted online at
https://cmt.research.microsoft.com/ScienceCloud2010/
before the deadline of February 1st, 2010 at 11:59PM PST;
the final 10 page papers in PDF format will be due on March 1st,
2010 at 11:59PM PST. Papers will be peer-reviewed, and accepted
papers will be published in the workshop proceedings as part of
the ACM digital library.

Notifications of the paper decisions will be sent out by April 1st, 2010.
Selected excellent work will be invited to submit extended versions of the
workshop paper to a special issue journal.  Submission implies the willingness
of at least one of the authors to register and present the paper.
For more information, please visit
http://dsl.cs.uchicago.edu/ScienceCloud2010/.


Important Dates
---------------------------------------------------------------------------------------
*       Abstract Due:                   February 22nd, 2010
*       Papers Due:                     March 1st, 2010
*       Notification of Acceptance:     April 1st, 2010
*       Workshop Date:                  June 21st, 2010



Committee Members
---------------------------------------------------------------------------------------

Workshop Chairs
*       Pete Beckman, University of Chicago & Argonne National Laboratory
*       Ian Foster, University of Chicago & Argonne National Laboratory
*       Ioan Raicu, Northwestern University

Steering Committee
*       Jeff Broughton, Lawrence Berkeley National Lab., USA
*       Alok Choudhary, Northwestern University, USA
*       Dennis Gannon, Microsoft Research, USA
*       Robert Grossman, University of Illinois at Chicago, USA
*       Kate Keahey, Nimbus, University of Chicago, Argonne National
         Laboratory, USA
*       Ed Lazowska, University of Washington, USA
*       Ignacio Llorente, Open Nebula, Universidad Complutense de Madrid, Spain
*       David E. Martin, Argonne National Laboratory, Northwestern
         University, USA
*       Gabriel Mateescu, Linkoping University, Sweden
*       David O'Hallaron, Carnegie Mellon University, Intel Labs, USA
*       Rich Wolski, Eucalyptus, University of California, Santa Barbara, USA
*       Kathy Yelick, University of California at Berkeley, Lawrence Berkeley
         National Laboratory, USA

Technical Committee
*       David Abramson, Monash University, Australia
*       Roger Barga, Microsoft Research, USA
*       Roy Campbell, University of Illinois at Urbana Champaign, USA
*       Henri Casanova, University of Hawaii at Manoa, USA
*       Brian Cooper, Yahoo! Research, USA
*       Peter Dinda, Northwestern University, USA
*       Geoffrey Fox, Indiana University, USA
*       Adriana Iamnitchi, University of South Florida, USA
*       Alexandru Iosup, Delft University of Technology, Netherlands
*       James Hamilton, Amazon Web Services, USA
*       Tevfik Kosar, Louisiana State University, USA
*       Shiyong Lu, Wayne State University, USA
*       Ruben S. Montero, Universidad Complutense de Madrid, Spain
*       Reagan Moore, University of North Carolina, Chappel Hill, USA
*       Lavanya Ramakrishnan, Lawrence Berkeley National Laboratory
*       Matei Ripeanu, University of British Columbia, Canada
*       Larry Rudolph, VMware, USA
*       Marc Snir, University of Illinois at Urbana Champaign, USA
*       Xian-He Sun, Illinois Institute of Technology, USA
*       Mike Wilde, University of Chicago & Argonne National Laboratory, USA
*       Alec Wolman, Microsoft Research, USA
*       Yong Zhao, Microsoft, USA