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CCPE 2012 : CCPE Call for Articles: Special Issue on Cloud Computing forData-driven Science and Engineering


When N/A
Where N/A
Submission Deadline Aug 15, 2012
Notification Due Oct 31, 2012
Final Version Due Dec 15, 2012
Categories    cloud computing   escience   data intensive   eengineering

Call For Papers

Call for Special Issue Articles on
"Cloud Computing for Data-driven Science and Engineering"

Guest Editors:
Yogesh Simmhan, Lavanya Ramakrishnan, Gabriel Antoniu and Carole Goble

Wileys' Concurrency and Computation: Practice and Experience Journal
( invites authors to submit articles for the Special Issue
on Cloud Computing for Data-driven Science and Engineering. This special
issue follows the topics of the 3rd Workshop on Scientific Cloud Computing
(ScienceCloud, collocated with HPDC,
but also welcomes contributions by authors who have not participated in the

== Introduction ==

Data-driven science and engineering are changing the way research is
performed, enabling innovations through new kinds of experiments that
would have been impossible only a decade ago. Today’s science has access
to advanced instruments like next generation genome sequencers and
gigapixel survey telescopes that generate datasets that are increasing
exponentially in complexity and data volume. Engineering and cyber physical
applications ranging from transportation networks to smart power grids have
access to realtime monitoring through pervasive sensors that operate round
the clock, generating large data rates that require time sensitive analysis
for operations. Such dynamic, distributed and data intensive applications
hold the solutions to grand scientific and societal challenges of the 21st
century. In order to achieve breakthrough in new knowledge and impact
sustainable policies, there is a vital need to model these applications,
perform analytics at large scales, manage data from instruments and
analyses, and share and visualize the results with scientific peers and the
society at large.

Cloud computing offers a novel computing paradigm for mapping such data-
driven scientific and engineering applications, and has democratized resource
access to under-served disciplines. In this special issue, we invite articles
that discuss new research, development, and deployment efforts in running
eScience and eEngineering workloads on Cloud infrastructures and platforms.
We encourage work that use and expand upon Cloud-based technologies to
address innovative compute and data driven scientific problems that are not
well served by current supercomputers, Grids, HPC clusters or workstations.
Exploratory work on architectural changes to Cloud frameworks, programming
platforms for dynamic and streaming applications, performance and cost
effective Cloud computing, gaps in Commercial/open/public/private Cloud
fabrics and service offerings, and security and privacy issues that impact
the use of Clouds for data intensive domains are relevant, among others.

== Topics of Interest ==

We invite works that discuss the state-of-the-art in research, development,
and deployment efforts on Cloud computing for data-driven scientific and
engineering applications. Topics of interest include:

* Scientific application cases studies on Cloud infrastructure
* Performance evaluation of Cloud environments and technologies
* Fault tolerance and reliability in Cloud system
* Data-intensive workloads and tools on Clouds
* Use of programming models such as Map-Reduce and its implementations
* Storage Cloud architectures
* I/O and Data management in the Cloud
* Workflow and resource management in the Cloud
* Use of Cloud technologies for scientific and engineering applications
* Data streaming and dynamic applications on Clouds
* Application of Cloud concepts in HPC environments
* Research and best practices in Cloud security

== Instructions for the Authors ==

We invite the submission of manuscripts that have not previously been
published and those not currently under review. There is a 30 page max
length limit (12 point single space format, inclusive of figures and tables).
They can be submitted electronically through the journal’s online submission
website: as a special issue with the special
issue title "ScienceCloud 2012". LaTeX and Word (.doc) formats are accepted.
Formatting instructions and LaTeX templates are available at:

== Tentative Schedule ==

* Submission deadline: August 15, 2012
* Notification of reviews: October 31, 2012
* Submission deadline for revisions: December 15, 2012
* Final decision: January 31, 2013

The schedule may be subject to revisions. Prospective authors are encouraged
to contact the editors ahead of time to facilitate the harmonization of the
issue and ensure that the authors will be informed of any change. The editors
may be reached by email at and

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