[ecoop-info] Workshop on D3Science - Call for Papers

Daniel S. Katz d.katz at ieee.org
Wed May 25 15:55:38 CEST 2011

Workshop on D3Science - Call for Papers

(to be held with IEEE e-Science 2011 - http://www.escience2011.org/)
Monday, 5 December 2011
Stockholm, Sweden

This workshop is interested in data-intensive, distributed, and dynamic (D3) science.
It will also focus on innovative approaches for scalability in the end-to-end real-time
processing of scientific data. We refer to D3 applications as those are data-intensive,
are fundamentally, or need to be, distributed, and need to support and respond to data
that may be non-persistent and is dynamically generated. We are also looking to bring
researchers together to look at holistic, rather than piecewise, approaches to the
end-to-end processing and managing of scientific data.

There has been a lot of effort in managing and distributing tasks where computation is
dominant. Such applications have after all, been historically the drivers of "grid"
computing. There has been, however, relatively less effort on tasks where the computational
load is matched by the data load, or even dominated by the data load. For such tasks to be
able to operate at scale, there are conceptually simple run-time tradeoffs that need to be
made, such as determining whether to move data to compute versus moving compute to data,
or possibly regenerating data on-the-fly. Due to fluctuating resource availability and
capabilities, as well as insufficient prior information about application requirements,
such decisions must be made at run-time. Furthermore, resource, connectivity and/or storage
constraints may require the data to be manipulated in-transit so that it is "made-right"
for the consumer. Currently it is very difficult to implement these dynamic decisions or
the underlying mechanisms in a general-purpose and scalable fashion. Although the
increasing volumes and complexity of data will make many problems data-dominated, the
computational requirements will still be high. In practice, data-intensive applications
will encompass data-driven applications. For example, many data-driven applications will
involve computational activities triggered as a consequence of independently created data;
thus it is imperative for an application to be able to respond to unplanned changes in
data load or content. Therefore, understanding how to support dynamic computations is a
fundamental, but currently missing element in data-intensive computing.

The D3Science workshop builds upon a 3 year research theme on Distributed Programming
Abstractions (DPA, http://wiki.esi.ac.uk/Distributed_Programming_Abstractions), which
has held a series of related workshops including but not limited to e-Science 2008,
EuroPar 2008 and the CLADE series, and the ongoing 3DPAS (http://wiki.esi.ac.uk/3DPAS)
research theme funded by the NSF and UK EPSRC, which is holding one workshop in June
2011: the 3DAPAS workshop (https://sites.google.com/site/3dapas/).

The workshop is intended to lead to a funding proposal for transcontinental collaboration,
with contributors as potential members of the collaboration, and as such, we are
particularly interested is discussing both existing and future projects that are suitable
for transcontinental collaboration.

Topics of interest include but are not limited to:

    Case studies of development, deployment and execution of representative
         D3 applications, particularly projects suitable for transcontinental
    Programming systems, abstractions, and models for D3 applications
    Discussion of the common, minimally complete, characteristics of D3 application
    Major barriers to the development, deployment, and execution of D3 applications,
         and primary challenges of D3 applications at scale
    Patterns that exist within D3 applications, and commonalities in the way such
         patterns are used
    How programming models, abstraction and systems for data-intensive applications
         can be extended to support dynamic data applications
    Tools, environments and programming support that exist to enable emerging
         distributed infrastructure to support the requirements of dynamic
         applications (including but not limited to streaming data and
         in-transit data analysis)
    Data-intensive dynamic workflow and in-transit data manipulation
    Adaptive/pervasive computing applications and systems
    Abstractions and mechanisms for dynamic code deployment and "moving code to data"
    Application drivers for end-to-end scientific data management
    Runtime support for in-situ analysis
    System support for high end workflows
    Hybrid computing solutions for in-situ analysis
    Technologies to enable multi-platform workflows 

Submission instructions:

Authors are invited to submit papers containing unpublished, original work (not under
review elesewhere) of up to 8 pages of double column text using single spaced 10 point
size on 8.5 x 11 inch pages, as per IEEE 8.5 x 11 manuscript guidelines. Templates are available:

Authors should submit a PDF or PostScript (level 2) file that will print on a PostScript
printer. Papers conforming to the above guidelines can be submitted through the workshop's
paper submission system: http://www.easychair.org/conferences/?conf=d3science

It is a requirement that at least one author of each accepted paper register and
attend the conference.

Important dates:

    17 July 2011 - submission date
    23 August 2011 - decisions announced
    23 September 2011 - final versions of papers due to IEEE for proceedings 


    Daniel S. Katz, University of Chicago & Argonne National Laboratory, USA
    Neil Chue Hong, University of Edinburgh, UK
    Shantenu Jha, Rutgers University & Louisiana State University, USA
    Omer Rana, Cardiff University, UK 

PC members:

    Gagan Aggarwal, Ohio State University, USA
    Deb Agarwal, Lawrence Berkeley National Lab, USA
    Gabrielle Allen, Lousiana State University, USA
    Malcolm Atkinson, University of Edinburgh, UK
    Adam Barker, University of St Andrews, UK
    Paolo Besana, University of Edinburgh, UK
    Jon Blower, University of Reading, UK
    Yun-He Chen-Burger, University of Edinburgh, UK
    Simon Dobson, University of St Andrews, UK
    Gilles Fedak, INRIA, France
    Cécile Germain, University Paris Sud, France
    Keith R. Jackson, Lawrence Berkeley National Lab, USA
    Manish Parashar, Rutgers, USA
    Abani Patra, University of Buffalo, USA
    Yacine Rezgui, Cardiff University, UK
    Yogesh Simmhan, University of Southern California, USA
    Domenico Talia, University of Calabria, Italy
    Paul Watson, Newcastle University, UK
    Jon Weissman, University of Minnesota, USA 

Daniel S. Katz
University of Chicago
(773) 834-7186 (voice)
(773) 834-6818 (fax)
d.katz at ieee.org or dsk at ci.uchicago.edu

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