IEEE 2013 7th International Workshop on Scientific Workflows: Advances in Workflows addressing the Big Data Challenge (SWF 2013)


One day between June 27 and July 2, 2013, at 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 (http://www.cs.wayne.edu/~shiyong/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 of SWF 2013 include, but are not limited to:

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: April 1, 2013 (hard deadline)
Decision Notification (Electronic): April 15, 2013
Camera-Ready Copy Due Date & Pre-registration Due: May 1, 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 Word templates or LaTeX templates). The submitted papers can only be in the format of PDF or WORD. Please follow the IEEE Computer Society Press Proceedings Author Guidelines to prepare your papers, respectively. At least one author of each accepted paper is required to attend the workshop and present the paper. All papers must be submitted via the confhub submission system for the SPE workshop.

First time users need to register with the system first (see these instructions for details). All the accepted papers by the workshops will be included in the Proceedings of the Ninth IEEE 2013 World Congress on Services (SERVICES 2013) which will be published by IEEE Computer Society.

Workshop chairs

Liqiang Wang, University of Wyoming, U.S.A.
Mike Wu, Oakland University, U.S.A.

Publicity chairs

Ilkay Altintas, San Diego Supercomputer Center, USA
Yong Zhao, University of Electronic Science and Technology of China, PR China

Publicity chairs

Xiaoyu Ma (Veteran Affairs Hospital)

Program committee

Jamal Alhiyafi, University of Dammam, Saudi Arabia
Ilkay Altintas, San Diego Supercomputer Center, U.S.A.
Manish Anand, Salesforce, U.S.A.
Adam Barker, University of St Andrews, U.K.
Shawn Bowers, Gonzaga University, U.S.A.
Bin Cao, Teradata Corporation, U.S.A.
Artem Chebotko, University of Texas at Pan American, U.S.A.
Jinjun Chen, Swinburne University of Technology, Australia
Terence Critchlow, Pacific Northwest National Laboratory, U.S.A.
Xubo Fei, Paypal Inc., U.S.A.
Yi Gu, University of Tennessee at Martin, U.S.A.
Thomas Hacker, Purdue University, U.S.A.
Zoe Lacroix, Arizona State University, U.S.A.
Cui Lin, California State University at Fresno, U.S.A.
Wei Lu, Beijing Jiaotong University, China
Murali Mani, University of Michigan at Flint, U.S.A.
Marta Mattoso, Federal University of Rio de Janeiro, Brazil
John Miller, University of Georgia, U.S.A.
Paolo Missier, Newcastle University, U.K.
Wei Tan, IBM T. J. Watson Research Center, U.S.A.
Jianwu Wang, San Diego Super Computer Center, U.S.A.
Qishi Wu, University of Memphis, U.S.A.
Ping Yang, Binghamton University, U.S.A.
Yong Zhao, University of Electronic Science and Technology of China, P.R. China

Steering Committee

Shiyong Lu, Wayne State University (Chair)
Calton Pu, Georgia Tech

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