WORKS 2018 Proceedings

The proceedings of the 13th Workflows in Support of Large-Scale Science Workshop is now available.

The Workshop on Workflows in Support of Large-Scale Science (WORKS) has been established as a premier forum on all aspects in relation to scientific workflows. The 13th edition of the workshop, WORKS 2018, co-located with SC18 in Dallas, Texas, USA, followed the successful tradition of previous years (Paris, 2006; Monterey Bay, 2007; Austin, 2008; Portland, 2009; New Orleans, 2010; Seattle, 2011; Salt Lake City, 2012; Denver, 2013; New Orleans, 2014; Austin, 2015; Salt Lake City, 2016; Denver, 2017). WORKS 2018 focuses on the many facets of data- intensive workflow management systems, ranging from data-intensive workflows representation and enactment to scheduling and resource allocation to provenance to workflow enactment on heterogeneous architectures as well as workflow tools and support environments.

The Call for Papers attracted 19 submissions. After a rigorous review process where each paper received at least two reviews, 8 papers were accepted for a full presentation (acceptance rate 42%). The workshop took place on Sunday, 11 November 2018 and the program also featured an invited keynote by Ilkay Altintas, three lightning talks and a panel discussion. The proceedings include the eight full papers accepted and presented at the workshop. We would like to thank the authors, the presenters, the general chair, the steering committee, the publicity chairs, the program committee, and the SC18 workshop chairs – without their excellent work and contributions WORKS would not be successful.

List of papers published:

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13th Workflows in Support of Large-Scale Science – WORKS @SC18


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

 

 

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