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

One day between June 27-July 2 2013, Santa Clara Marriott, CA, USA (Center of Silicon Valley)
within IEEE SERVICES 2013


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

(Workshop chairs can grant extension to individuals under special circumstances provided that the hard deadline for the camera-ready version is respected.)

         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

First time users need to register with the system first. All the accepted papers by the workshops will be included in the Proceedings of the Seventh 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

Publication chair

         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