[BiO BB] REMINDER CFP: IEEE ITCC2005

Maria Mirto maria.mirto at unile.it
Wed Oct 20 17:11:31 EDT 2004


Dear all,

Please find attached the Call For Papers for:

6th IEEE International Conference on Information Technology: Coding and
Computing (ITCC2005) -
Track on Methodologies, Technologies and Applications in distributed
and Grid systems.

        Las Vegas, Nevada 11-13 April 2005

       http://datadog.unile.it/itcc2005/cfp.htm
                 http://www.itcc.info/

       sponsored by IEEE Computer Society

This Conference Track aims at offering a forum of discussion where young
researchers and PhD students could present their research activities, either
at an early or mature phase.

Best regards,
Maria Mirto.

 ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
 Maria Mirto, CACT/ISUFI (Center for Advanced Computing Technology)
 Engineering Faculty, Department of Innovation Engineering
 University of Lecce, Via per Monteroni, 73100 Lecce, Italy
 phone: +39-0832-297304, fax: +39-0832-297279
 ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~

********************************************************************************
We apologize if you received multiple copies of this Call for Papers.
Please feel free to distribute it to those who might be interested.
********************************************************************************

--------------------------------------------------------------------------------
Track on Methodologies, Technologies and Applications
in Distributed and Grid systems.

      ITCC 2005: IEEE International Conference on
      Information Technology: Coding and Computing

         Sponsored by the IEEE Computer Society
                   April 11-13, 2005
            The Orleans, Las Vegas, Nevada
--------------------------------------------------------------------------------


                         Call for Papers
         http://datadog.unile.it/itcc2005/cfp.htm
                     http://www.itcc.info
                        *****************
Grids couple geographically distributed resources such as high performance
computers, workstations, clusters, and scientific instruments. In
particular Computational Grids aggregate computing power, Data Grids
manage and analyze shared large-scale data set and Service or
Collaborative Grids have the potential to allow real time processing of
data streams from scientific instruments such as particle accelerators and
telescopes in ways that are more flexible and powerful than are currently
available in traditional systems.
Recently, Grid technologies are being integrated with Web Services
technologies to provide a framework for interoperable
application-to-application interaction.
Existing applications exploit these technologies in several domains.
In health systems, the Grid offers the power and ubiquity needed to
acquire biomedical data, process and deliver biomedical images (CT, MRI,
PET, SPECT, etc) located in different hospitals, within a wide area. So,
the Grid acts as a Collaborative Working Environment: physicians often
want to aggregate not only medical data, but also human expertise and
might want colleague around the world to visualize the examinations in the
same way and at the same time so that the group can discuss the diagnosis
in real time. Analysis of the problems relevant to the use of GRID in
medical virtual environments will be appreciated.
In Geographic Information Systems (GISs), the Grid exploits a dynamic
infrastructure for retrieval and on-demand processing of remote sensing
data.
Grid Computing techniques can be used in the industry, reducing process
time for improvement of design of some components and, in general, for
supporting of complex simulations.
In the virtual reality (VR), some applications in different areas such as
entertainment, training, design valuation, data visualization etc., need
of computing power and resources for non-immersive and immersive
environments.
Finally, bioinformatics applications call for the ability to read large
datasets (e.g. protein databases) and to create new datasets (e.g. mass
spectrometry proteomics data). These applications can require the ability
to change (updating) existing datasets; consequently a Data Grid, i.e. a
distributed infrastructure for storing large datasets, is needed. In the
bioinformatics field, a Data Grid could prove to be useful to build
Electronic Patient Record systems (EPRs) for the management of patient
information (data, metadata and images), to support data replication,
allowing the integration and sharing of biological databases and,
generally, for the developement of efficient bioinformatics (in particular
proteomics and genomics) applications.
The main goal of the Conference Track is to discuss well-known and
emerging data-intensive applications in the context of distributed and
Grid systems, and to analyze technologies and methodologies useful to
develop such applications in those environments.
In particular, this Conference Track aims at offering a forum of
discussion where young researchers and PhD students could present their
research activities, either at an early or mature phase.

Topics include, but are not limited to:
  Data intensive applications in distributed and Grid systems:
    - Grid for the following application areas:
      o Aeronautics
      o Astronomy
      o Astrophysics
      o Bioinformatics
      o Chemistry
      o Climatology
      o Cosmology
      o Earth observations
      o Earthquake studies
      o E-learning
      o Environment management
      o Fluid dynamics
      o Genomics
      o Geology
      o High energy physics
      o Industrial design
      o Medicine
      o Meteorology
      o Molecular engineering
      o Pharmacology
      o Proteomics

  Technologies and methodologies in distributed and grid-based applications:
      - Grid Portals;
      - Web and Grid Services;
      - Service Orchestration and WorkFlow;
      - Advanced Resource Reservation and Scheduling;
      - Databases and the grid;
      - Grid Information and Monitoring services and related (OO,
Relational, XML) data models;
      - Grid Security;
      - Grid Workload and Data management services;
      - Agent architectures for grid environments;
      - Extracting knowledge from data grids;
      - Parallel and Distributed application (cluster and grid based);
      - Peer-to-Peer Systems for grid environments;
      - Simulation and Applications of Modeling;
      - Collaboration technologies.


IMPORTANT DATES
      October 29, 2004   Paper Due
      December 19, 2004  Author Notification
      January 9, 2005    Camera-Ready Copy


Note: The Proceedings will be published by IEEE Computer Society. A special
issue of an international journal is being planned consisting of selected
papers from this conference. Authors of selected papers will be invited to
submit an extended version for the journal.

SUBMISSION DETAILS
Papers should be original and contain contributions of theoretical or
experimental nature, or be unique experience reports. Interested authors
should submit a 6-page summary of their original and unpublished work
including 5 keywords, before October 29 2004, in the IEEE format to the
track chair:

Maria Mirto,
CACT/ISUFI (Center for Advanced Computing Technology)
                          &
SPACI (Southern Partnership for Advanced Computational Infrastructures)
Consortium,
c/o Engineering Faculty, Department of Innovation Engineering,
University of Lecce,
Via per Monteroni,
73100 Lecce, Italy,

Voice: +39-0832-297304,
Fax:   +39-0832-297279,

Email: maria.mirto at unile.it

Electronic submission (PostScript or PDF) is strongly encouraged.




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