[hpc-announce] Call for papers: Special issue on Cloud for Health

[Sandra Gesing]

CALL FOR PAPERS
Scalable Computing: Practice and Experience
(http://www.scpe.org/index.php/scpe/pages/view/Call-issue-4-2014
<http://www.scpe.org>)

Volume 15, Issue 4:    Special Issue on CLOUD for Health

In the last 20 years, computational methods and data analysis have become
very important part in health systems; especially, in research areas such
as biomodelling, genomics, neuroscience, cancer models, medical image
analysis, biotechnology, or automatic diagnosis. The development of those
areas leads to an unprecedented demand for large-scale data management and
analysis (Tbytes or Pbytes) and scalability in computing power.

This new situation requires appropriate IT-infrastructures, where new
biomedical challenges can be solved within an acceptable timespan. Cloud
computing has the potential to help solving those problems by offering a
utility model based on highly flexible computing and storage capabilities
and abstraction layers that allow overcoming many of the constraints
present in dedicated systems. It may also increase research productivity by
allowing sharing applications, tools, and algorithms in an easy way, by
increasing the availability of new methods for the research community, and
by supporting large-scale multi-centric collaborations.

The aim of this special issue is to promote synergies between cloud
computing and health communities by exploring applications developed in
clouds, cloud systems enhancements for bio*, and new trends and needs
shared between both communities.

Thus, this special issue will feature articles that discuss applications of
cloud computing to bioinformatics and biomedicine, including solutions to
the problems in the area, and architectural adaptation of cloud systems to
fit those problems. The goals are to exchange and discuss existing
solutions and latest developments in both fields, and to gather an overview
of challenges (technologies, achievements, gaps, roadblocks).

TOPICS

Areas of interest for this special issue include, but are not limited to:
    - Cloud-based bioinformatics and biomedicine applications
    - Cloud-based applications in public health systems
    - Modeling and simulation of complex biological processes
    - Genomics and Molecular Structure evolution
    - Clouds for big data manipulation in bioinformatics and biomedicine
    - Visualization and analysis of biomedical images
    - Integration and analysis of biomedical data
    - Interoperability for exchanging data, algorithms and analysis
workflows
    - Biosignals processing using clouds
    - Privacy and security issues for cloud-based health applications
    - Data-centric versus computer-centric cloud architectures
    - Virtual HPC infrastructures for Health
    - Hybrid infrastructures (cloud/physics) for bio applications
    - Improved energy consumption of bio applications using clouds
    - Programming paradigms and tools for bio-applications

IMPORTANT DATES

- Submission:             August 31th, 2014
- Author notification:         October 1th 2014
- Camera Ready papers due:     November 15th, 2014
- Publication:             December, 2014

SUBMISSION DETAILS

The special issue seeks original, unpublished work on potential means to
foster better security, transparency and scalability in cloud-based
services.

The SCPE journal has a rigorous peer-review process and papers will be send
to at least two independent academic referees. Papers that do not merit
publication (for any reason) can be rejected by the Special Issue Editors
without further review.

Submitted papers must be formatted according to the journal's instructions,
which can be found at:
http://www.scpe.org/index.php/scpe/about/submissions#authorGuidelines

SPECIAL ISSUE EDITORS

- Prof. Jesus Carretero. University Carlos III of Madrid, Spain
- Dr. Javier Garcia-Blas. University Carlos III of Madrid, Spain
- Prof. Sandra Gesing. University of Notre Dame, USA
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Sandra Gesing
Research Assistant Professor, Department of Computer Science and Engineering
Computational Scientist, Center for Research Computing
University of Notre Dame
http://www3.nd.edu/~sgesing
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