Call for Papers

 

Data-intensive Workflows (a.k.a. scientific workflows) are routinely used in most scientific disciplines today, especially in the context of parallel and distributed computing. Workflows provide a systematic way of describing the analysis and rely on workflow management systems to execute the complex analyses on a variety of distributed resources. They are at the interface between end-users and computing infrastructures. With the dramatic increase of raw data volume in every domain, they play an even more critical role to assist scientists in organizing and processing their data and to leverage HPC or HTC resources, e.g., workflows played an important role in the discovery of Gravitational Waves.

This workshop focuses on the many facets of data-intensive workflow management systems, ranging from job execution to service management and the coordination of data, service and job dependencies. The workshop therefore covers a broad range of issues in the scientific workflow lifecycle that include: data-intensive workflows representation and enactment; designing workflow composition interfaces; workflow mapping techniques that may optimize the execution of the workflow; workflow enactment engines that need to deal with failures in the application and execution environment; and a number of computer science problems related to scientific workflows such as semantic technologies, compiler methods, fault detection and tolerance.

The topics of the workshop include but are not limited to:

  • Big Data analytics workflows
  • Data-driven workflow processing (including stream-based workflows)
  • Workflow composition, tools, and languages
  • Workflow execution in distributed environments (including HPC, clouds, and grids)
  • Reproducible computational research using workflows
  • Dynamic data dependent workflow systems solutions
  • Exascale computing with workflows
  • In Situ Data Analytics Workflows
  • Interactive workflows (including workflow steering)
  • Workflow fault-tolerance and recovery techniques
  • Workflow user environments, including portals
  • Workflow applications and their requirements
  • Adaptive workflows
  • Workflow optimizations (including scheduling and energy efficiency)
  • Performance analysis of workflows
  • Workflow debugging
  • Workflow provenance
Important Dates
Papers due:
August 5, 2019 August 26, 2019 (final extension)
Paper Acceptance Notification:
September 20, 2019 September 23, 2019
Camera-ready deadline:
October 1, 2019
Workshop:
November 17, 2019

Paper Submission

Contact Us

Email the Workshop Chairs