Deadline extension
Big Data and Science: Infrastructure and Services Workshop
http://portal.nersc.gov/
IEEE BigData 2013
6-9 October 2013, Silicon Valley, CA, USA
Data is now considered the Fourth Paradigm in Science. This shift is
being driven by: the rapid growth in data from improvements in
scientific instruments such as sequencers and advanced imaging
technologies; increasing emphasis on sharing and collaborating on
data; and the growing ability to drive discovery directly from data.
Data Intensive Scientific computing touches on all the Five "V's"
(Volume, Velocity, Variety, Veracity, and Value) associated with Big
Data. But scientific data and processes used to analyze the data are
substantially different from those encountered in the Enterprise or
Web 2.0 space. The goals of this workshop are multi-fold. We will
focus on capturing the cutting edge research to date that is enabling
the scientific community to address their data challenges and opening
up new avenues of scientific discovery. Second, we will engage the
scientific community in understanding their big data challenges and
problems. Finally, we will identifying gaps in current technologies
available in the Web 2.0 space as well as identify future computer
science research challenges. Our topics of interest will span the
range from new hardware architectures optimized for science, to
emerging frameworks, to science-driven services. The workshop will
provide a venue for participants to showcase innovative tools and
services, build new collaborations, and hear from application
scientists about the challenges they face. The workshop will consist
of a mix of paper presentations, panels and invited speakers.
Call for Papers
Topics of interest span the range from new hardware architectures
optimized for science, to emerging frameworks , to science-driven
services.
* Big Data in Science needs and requirements, and use cases
* Service Infrastructure in development and deployed at facilities
* Hardware architectures supporting big data in science
* Networking and file system support for big data in science
* Software tools, frameworks and methodologies for handling big
data in scientific applications
* Use of Big Data technologies (e.g., Hadoop and NoSQL) for science
Important dates
*Aug 9, 2013*: Due date for full workshop papers submission
August 20, 2013: Notification of paper acceptance to authors
September 10, 2013: Camera-ready of accepted papers
October 6-9, 2013: Workshop
Paper submission
We invite submissions of original work on the above topics. Papers can
be either short (4 page position papers) or longer (8 pages) research
papers. The submission are expected to clearly describe how the
technology has considered the unique needs of Science in their
research, design, and development. Papers should be submitted in the
IEEE 2-column format through the online submission system:
http://wi-lab.com/cyberchair/
Papers should be formatted to IEEE Computer Society Proceedings
Manuscript Formatting Guidelines.
Big Data and Science: Infrastructure and Services Workshop
http://portal.nersc.gov/
IEEE BigData 2013
6-9 October 2013, Silicon Valley, CA, USA
Data is now considered the Fourth Paradigm in Science. This shift is
being driven by: the rapid growth in data from improvements in
scientific instruments such as sequencers and advanced imaging
technologies; increasing emphasis on sharing and collaborating on
data; and the growing ability to drive discovery directly from data.
Data Intensive Scientific computing touches on all the Five "V's"
(Volume, Velocity, Variety, Veracity, and Value) associated with Big
Data. But scientific data and processes used to analyze the data are
substantially different from those encountered in the Enterprise or
Web 2.0 space. The goals of this workshop are multi-fold. We will
focus on capturing the cutting edge research to date that is enabling
the scientific community to address their data challenges and opening
up new avenues of scientific discovery. Second, we will engage the
scientific community in understanding their big data challenges and
problems. Finally, we will identifying gaps in current technologies
available in the Web 2.0 space as well as identify future computer
science research challenges. Our topics of interest will span the
range from new hardware architectures optimized for science, to
emerging frameworks, to science-driven services. The workshop will
provide a venue for participants to showcase innovative tools and
services, build new collaborations, and hear from application
scientists about the challenges they face. The workshop will consist
of a mix of paper presentations, panels and invited speakers.
Call for Papers
Topics of interest span the range from new hardware architectures
optimized for science, to emerging frameworks , to science-driven
services.
* Big Data in Science needs and requirements, and use cases
* Service Infrastructure in development and deployed at facilities
* Hardware architectures supporting big data in science
* Networking and file system support for big data in science
* Software tools, frameworks and methodologies for handling big
data in scientific applications
* Use of Big Data technologies (e.g., Hadoop and NoSQL) for science
Important dates
*Aug 9, 2013*: Due date for full workshop papers submission
August 20, 2013: Notification of paper acceptance to authors
September 10, 2013: Camera-ready of accepted papers
October 6-9, 2013: Workshop
Paper submission
We invite submissions of original work on the above topics. Papers can
be either short (4 page position papers) or longer (8 pages) research
papers. The submission are expected to clearly describe how the
technology has considered the unique needs of Science in their
research, design, and development. Papers should be submitted in the
IEEE 2-column format through the online submission system:
http://wi-lab.com/cyberchair/
Papers should be formatted to IEEE Computer Society Proceedings
Manuscript Formatting Guidelines.
No comments:
Post a Comment