Apologies if you receive multiple copies of this email! ********** WORKS 2019 Workshop********** 14th Workflows in Support of Large-Scale Science Workshop http://works.cs.cardiff.ac.uk/ Sunday 17 November 2019, Denver, CO Held in conjunction with SC19, http://sc19.supercomputing.org/ Paper submission deadline: 15 July 2019 ***************************************** 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: 15 July 2019       Paper acceptance notification: 1 September 2019       E-copyright registration completed by authors: 1 October 2019       Camera-ready deadline: 1 October 2019 Submitted papers must be at most 10 pages long. The proceedings should be formatted according to the IEEE format (see https://www.ieee.org/conferences/publishing/templates.html). The 10-page limit includes figures, tables, appendices and references. WORKS papers will be published in cooperation with TCHPC and will be available from IEEE digital repository. ***************************************** WORKS 2019 Organizing Committee – PC Chairs   Sandra Gesing, University of Notre Dame, USA   Rafael Ferreira da Silva, University of Southern California, USA – General Chair   Ian J. Taylor, Cardiff University, UK and University of Notre Dame, USA – Steering Committee   David Abramson, University of Queensland, Australia   Malcolm Atkinson, University of Edinburgh, UK   Ewa Deelman, USC, USA   Michela Taufer, University of Tennessee, USA – Publicity Chairs  Ilia Pietri, Intracom SA Telecom Solutions, Greece  Hoang Anh Nguyen, University of Queensland, Australia ***************************************** WORKS 2019 Program Committee(Tentative) Pinar Alper, University Luxembourg, LU Ilkay Altintas, San Diego Supercomputer Center, USA Khalid Belhajjame, Universit. Paris-Dauphine, France Ivona Brandic, TU Wien, Austria Kris Bubendorfer, Victoria University of Wellington, New Zealand Jesus Carretero, Universidad Carlos III de Madrid, Spain Henri Casanova, University of Hawaii at Manoa, USA Kyle Chard, University of Chicago, USA Rafael Ferreira Da Silva, USC Information Sciences Institute, USA Daniel Garijo, USC Information Sciences Institute, USA Sandra Gesing, University of Notre Dame, USA Daniel Katz, University of Illinois Urbana-Champaign, USA Tamas Kiss, University of Westminster, UK Dagmar Krefting, HTW Berlin, Germany Maciej Malawski, AGH University of Science and Technology, Poland Anirban Mandal, Renaissance Computing Institute, USA Marta Mattoso, Federal Univ. Rio de Janeiro, Brazil Jarek Nabrzyski, University of Notre Dame, USA Hoang Anh Nguyen, University of Queensland, Australia Daniel de Oliveira, Fluminense Federal University, Brazil Radu Prodan, University of Klagenfurt, Austria Ivan Rodero, Rutgers University, USA Rizos Sakellariou, University of Manchester, UK Frédéric Suter, CNRS, France Domenico Talia, University of Calabria, Italy Douglas Thain, University of Notre Dame, USA Rafael Tolosana-Calasanz, Universidad de Zaragoza, Spain Chase Wu, New Jersey Institute of Technology, USA