Vol-1800
urn:nbn:de:0074-1800-6

Copyright © 2016 for the individual papers by the papers' authors. Copying permitted for private and academic purposes. This volume is published and copyrighted by its editors.

WORKS 2016
Workflows in Support of Large-Scale Science

Proceedings of the 11th Workshop on Workflows in Support of Large-Scale Science
co-located with The International Conference for High Performance Computing, Networking, Storage and Analysis (SC 2016)

Salt Lake City, Utah, USA, November 14, 2016.

Edited by

Sandra Gesing *
Rizos Sakellariou **

* University of Notre Dame, Center for Research Computing, Notre Dame, IN 46556, USA
** University of Manchester, School of Computer Science, Manchester M13 9PL, UK

Table of Contents

Preface

Session 1: Workflows and Optimization

Using Scientific Workflows for Science and Engineering Optimisation (keynote) 1-3
David Abramson
SLA-aware Interactive Workflow Assistant for HPC Parameter Sweeping Experiments 4-14
Bruno Silva, Marco Netto, Renato Cunha

Session 2: Automation of Workflows

Using Simple PID Controllers to Prevent and Mitigate Faults in Scientific Workflows 15-24
Rafael Ferreira Da Silva, Rosa Filgueira, Ewa Deelman, Erola Pairo-Castineira, Ian Michael Overton, Malcolm Atkinson
Towards Serverless Execution of Scientific Workflows - HyperFlow Case Study 25-33
Maciej Malawski

Session 3: Advancing data-intensive workflows

Energy-efficient Mapping of Big Data Workflows under Deadline Constraints 34-43
Tong Shu, Chase Wu
Online Input Data Reduction in Scientific Workflows 44-53
Renan Souza, Vitor Silva, Alvaro L G A Coutinho, Patrick Valduriez, Marta Mattoso

Session 4: Advancing data-intensive workflows (lightning talks)

Lessons Learned from Applying Big Data Paradigms to Large Scale Scientific Workflows 54-58
Silvina Caino-Lores, Andrei Lapin, Peter Kropf, Jesus Carretero
Integrating Domain-Data Steering with Code-Profiling Tools to Debug Data-Intensive Workflows 59-63
Vitor Silva, Leonardo Neves, Renan Souza, Alvaro Coutinho, Daniel de Oliveira, Marta Mattoso
Applications of the FACE-IT Data Science Portal and Workflow Engine for Operational Food Quality Prediction and Assessment: Mussel Farm Monitoring in the Bay of Napoli, Italy 64-68
Raffaele Montella, Alison Brizius, Diana Di Luccio, Cheryl Porter, Joshua Elliot, Ravi Madduri, David Kelly, Angelo Riccio, Ian Foster
Performance Characterization of Scientific Workflows for the Optimal Use of Burst Buffers 69-73
Christopher S. Daley, Devarshi Ghoshal, Glenn K. Lockwood, Sudip Dosanjh, Lavanya Ramakrishnan, Nicholas J. Wright

2017-02-20: submitted by Sandra Gesing, metadata incl. bibliographic data published under Creative Commons CC0
2017-02-28: published on CEUR-WS.org |valid HTML5|