********** WORKS 2018 Workshop ********** Workflows in Support of Large-Scale Science Workshop http://works.cs.cardiff.ac.uk/ Sunday 11 November 2018, Dallas, TX. Held in conjunction with SC18, http://sc18.supercomputing.org/ Paper submission deadline: 30 July 2018 ***************************************** Call For Papers Data-intensive workflows (a.k.a. scientific workflows) are routinely used in most scientific disciplines today, especially in the context of high-performance, parallel and distributed computing. They provide a systematic way of describing a complex scientific process and rely on sophisticated workflow management systems to execute on a variety of parallel and distributed resources. 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, being at the interface between end-users and computing infrastructures. This workshop focuses on the many facets of data-intensive workflow management systems, ranging from actual execution to service management and the coordination and optimization of data, service and job dependencies. The workshop 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 to optimize the execution of the workflow for different infrastructures; 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, scheduling and 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 Workflows in constrained environments e.g. IoT, Edge computing, etc. ***************************************** Important Dates Papers due: 30 July 2018 Paper acceptance notification: 9 September 2018 E-copyright registration completed by authors: 1 October 2018 Camera-ready deadline: 1 October 2018 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, and appendices, but does not include references, for which there is no page limit. WORKS papers will be published in cooperation with TCHPC and will be available from IEEE digital repository. ***************************************** WORKS 2018 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, U Delaware, USA – Publicity Chairs Ilia Pietri, Intracom SA Telecom Solutions, Greece Hoang Anh Nguyen, University of Queensland, Australia ***************************************** WORKS 2018 Program Committee (Tentative) Pinar Alper, King's College London, UK Ilkay Altintas, San Diego Supercomputer Center, USA Khalid Belhajjame, Universit. Paris-Dauphine, France Adam Belloum, University of Amsterdam, the Netherlands 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 Ewa Deelman, USC Information Sciences Institute, USA Rafael Ferreira Da Silva, USC Information Sciences Institute, USA Daniel Garijo, USC Information Sciences Institute, USA Sandra Gesing, University of Notre Dame, USA Tristan Glatard, CNRS, France 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 Andrew Stephen Mcgough, Newcastle University, UK Paolo Missier, Newcastle University, UK Jarek Nabrzyski, University of Notre Dame, USA Daniel de Oliveira, Fluminense Federal University, Brazil Ilia Pietri, Intracom SA Telecom Solutions, Greece Radu Prodan, University of Innsbruck, Austria Omer Rana, Cardiff University, UK Ivan Rodero, Rutgers University, USA Rizos Sakellariou, University of Manchester, UK Domenico Talia, University of Calabria, Italy Rafael Tolosana-Calasanz, Universidad de Zaragoza, Spain Chase Wu, New Jersey Institute of Technology, USA