CALL FOR PAPERS
IEEE 2013 7th International Workshop on Scientific Workflows:
Advances in Workflows addressing the Big Data Challenge (SWF 2013)
http://www.servicescongress.
##############################
One day between June 27-July 2 2013, Santa Clara Marriott, CA, USA (Center of
Silicon Valley) within IEEE SERVICES 2013
+++++++++++++++
Description
+++++++++++++++
Today, many science and engineering disciplines have become increasingly data-
intensive. Massively complex new instruments and simulators are generating
massive data sets that are described as big data. For example, in Physics, the
Large Hadron Collider will eventually generate about 15 petabytes (1 petabye is
about 1,000,000 gigabyes) of data per year. In neuroscience, a complete map of
the brain's neural circuitry would generate about 1000 exabytes (an exabyte is
about 1000 petabytes). The coming data deluge poses great challenges to the
whole lifecycle of data management, from data collection, data storage, to data
processing and visualization. In the meanwhile, workflow has become a popular
paradigm for scientists and engineers to formalize and structure complex
processes to solve increasingly data-intensive scientific and engineering
problems. The importance of workflow is well recognized by NSF as well as by
numerous workshops. As a recent Science article concluded, "In the future, the
rapidity with which any given discipline advances is likely to depend on how
well the community acquires the necessary expertise in database, workflow
management, visualization, and cloud computing technologies."
The theme of this year's SWF workshop is "Advances in Workflows addressing the
Big Data Challenge", recognizing the big data challenge in scientific workflows.
Built upon the successful history of SWF since 2007, this year, we broaden the
scope of SWF to include big data oriented workflows, soliciting papers to share
the challenges, experiences, and lessons in applying workflow technologies to
various data-driven science and engineering problems. Topics of interests
include, but are not limited to:
+++++++++++++++++
List of topics
+++++++++++++++++
* Big-data workflows
* Data-driven workflows
* Event-driven workflows
* Scientific workflow provenance management and analytics
* Scientific workflow data, metadata, service, and task management
* Scientific workflow architectures, models, languages, systems, and algorithms
* Scientific workflow monitoring, debugging, exception handling, and
fault tolerance
* Streaming data processing in scientific workflows
* Pipelined, data, workflow, and task parallelism in scientific workflows
* Cloud, Service, Grid, or hybrid scientific workflows
* Data, metadata, compute, user-interaction, or
visualization-intensive scientific workflows
* Semantic techniques for scientific workflows
* Scientific workflow composition
* Security issues in scientific workflows
* Data integration and service integration in scientific workflows
* Scientific workflow mapping, optimization, and scheduling
* Scientific workflow modeling, simulation, analysis, and verification
* Scalability, reliability, extensibility, agility, and interoperability
* Scientific workflow applications and case studies
* Enterprise workflow management and services computing
* Enterprise workflow cooperation and collaboration
+++++++++++++++++++
Important dates
+++++++++++++++++++
* Full Paper Submission Due Date: March 15, 2013
* Decision Notification (Electronic): April 4, 2013
* Camera-Ready Copy Due Date & Pre-registration Due: April 15, 2013
Paper submission
Authors are invited to submit full papers (about 8 pages) or short papers (about
4 pages) as per IEEE 8.5 x 11 manuscript guidelines (download instruction). All
papers should be in PDF and submitted via at the submission system.
Website
http://www.servicescongress.
Workshop chairs
* Liqiang Wang, wang@cs.uwyo.edu, University of Wyoming, U.S.A.
* Mike Wu, cwu@oakland.edu, Oakland University, U.S.A.
IEEE 2013 7th International Workshop on Scientific Workflows:
Advances in Workflows addressing the Big Data Challenge (SWF 2013)
http://www.servicescongress.
##############################
One day between June 27-July 2 2013, Santa Clara Marriott, CA, USA (Center of
Silicon Valley) within IEEE SERVICES 2013
+++++++++++++++
Description
+++++++++++++++
Today, many science and engineering disciplines have become increasingly data-
intensive. Massively complex new instruments and simulators are generating
massive data sets that are described as big data. For example, in Physics, the
Large Hadron Collider will eventually generate about 15 petabytes (1 petabye is
about 1,000,000 gigabyes) of data per year. In neuroscience, a complete map of
the brain's neural circuitry would generate about 1000 exabytes (an exabyte is
about 1000 petabytes). The coming data deluge poses great challenges to the
whole lifecycle of data management, from data collection, data storage, to data
processing and visualization. In the meanwhile, workflow has become a popular
paradigm for scientists and engineers to formalize and structure complex
processes to solve increasingly data-intensive scientific and engineering
problems. The importance of workflow is well recognized by NSF as well as by
numerous workshops. As a recent Science article concluded, "In the future, the
rapidity with which any given discipline advances is likely to depend on how
well the community acquires the necessary expertise in database, workflow
management, visualization, and cloud computing technologies."
The theme of this year's SWF workshop is "Advances in Workflows addressing the
Big Data Challenge", recognizing the big data challenge in scientific workflows.
Built upon the successful history of SWF since 2007, this year, we broaden the
scope of SWF to include big data oriented workflows, soliciting papers to share
the challenges, experiences, and lessons in applying workflow technologies to
various data-driven science and engineering problems. Topics of interests
include, but are not limited to:
+++++++++++++++++
List of topics
+++++++++++++++++
* Big-data workflows
* Data-driven workflows
* Event-driven workflows
* Scientific workflow provenance management and analytics
* Scientific workflow data, metadata, service, and task management
* Scientific workflow architectures, models, languages, systems, and algorithms
* Scientific workflow monitoring, debugging, exception handling, and
fault tolerance
* Streaming data processing in scientific workflows
* Pipelined, data, workflow, and task parallelism in scientific workflows
* Cloud, Service, Grid, or hybrid scientific workflows
* Data, metadata, compute, user-interaction, or
visualization-intensive scientific workflows
* Semantic techniques for scientific workflows
* Scientific workflow composition
* Security issues in scientific workflows
* Data integration and service integration in scientific workflows
* Scientific workflow mapping, optimization, and scheduling
* Scientific workflow modeling, simulation, analysis, and verification
* Scalability, reliability, extensibility, agility, and interoperability
* Scientific workflow applications and case studies
* Enterprise workflow management and services computing
* Enterprise workflow cooperation and collaboration
+++++++++++++++++++
Important dates
+++++++++++++++++++
* Full Paper Submission Due Date: March 15, 2013
* Decision Notification (Electronic): April 4, 2013
* Camera-Ready Copy Due Date & Pre-registration Due: April 15, 2013
Paper submission
Authors are invited to submit full papers (about 8 pages) or short papers (about
4 pages) as per IEEE 8.5 x 11 manuscript guidelines (download instruction). All
papers should be in PDF and submitted via at the submission system.
Website
http://www.servicescongress.
Workshop chairs
* Liqiang Wang, wang@cs.uwyo.edu, University of Wyoming, U.S.A.
* Mike Wu, cwu@oakland.edu, Oakland University, U.S.A.
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