13th WORKS Workshop
Held in conjunction with SC18: The International Conference for High Performance Computing, Networking, Storage and Analysis

 

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.

Important Dates
Papers due:
July 30 August 13, 2018
Paper Acceptance Notification:
September 9 September 25, 2018
Camera-ready deadline:
October 1, 2018

Paper Submission

Previous Workshops

WORKS 17
November 2017
WORKS 16
November 2016
WORKS 15
November 2015
WORKS 14
November 2014
WORKS 13
November 2013
WORKS 12
November 2012
WORKS 11
November 2011
WORKS 10
November 2010

Contact Us

Email the Workshop Chairs