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Workflow environments for advanced cyberinfrastructure platforms

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10.1109/ICDCS.2019.00171
 
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hdl:2117/190641

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Badia Sala, Rosa MariaMés informacióMés informacióMés informació
Ejarque Artigas, Jorge
Lordan Gomis, FrancescMés informació
Lezzi, DanieleMés informació
Conejero Bañón, Javier
Álvarez Cid-Fuentes, Javier
Becerra Fontal, YolandaMés informacióMés informacióMés informació
Queralt Calafat, AnnaMés informacióMés informacióMés informació
Document typeConference report
Defense date2019
PublisherInstitute of Electrical and Electronics Engineers (IEEE)
Rights accessOpen Access
All rights reserved. This work is protected by the corresponding intellectual and industrial property rights. Without prejudice to any existing legal exemptions, reproduction, distribution, public communication or transformation of this work are prohibited without permission of the copyright holder
ProjectmF2C - Towards an Open, Secure, Decentralized and Coordinated Fog-to-Cloud Management Ecosystem (EC-H2020-730929)
COMPUTACION DE ALTAS PRESTACIONES VII (MINECO-TIN2015-65316-P)
CLASS - Edge and CLoud Computation: A Highly Distributed Software Architecture for Big Data AnalyticS (EC-H2020-780622)
BARCELONA SUPERCOMPUTING CENTER - CENTRO. NACIONAL DE SUPERCOMPUTACION (MINECO-SEV-2015-0493)
Abstract
Progress in science is deeply bound to the effective use of high-performance computing infrastructures and to the efficient extraction of knowledge from vast amounts of data. Such data comes from different sources that follow a cycle composed of pre-processing steps for data curation and preparation for subsequent computing steps, and later analysis and analytics steps applied to the results. However, scientific workflows are currently fragmented in multiple components, with different processes for computing and data management, and with gaps in the viewpoints of the user profiles involved. Our vision is that future workflow environments and tools for the development of scientific workflows should follow a holistic approach, where both data and computing are integrated in a single flow built on simple, high-level interfaces. The topics of research that we propose involve novel ways to express the workflows that integrate the different data and compute processes, dynamic runtimes to support the execution of the workflows in complex and heterogeneous computing infrastructures in an efficient way, both in terms of performance and energy. These infrastructures include highly distributed resources, from sensors and instruments, and devices in the edge, to High-Performance Computing and Cloud computing resources. This paper presents our vision to develop these workflow environments and also the steps we are currently following to achieve it.
CitationBadia, R.M. [et al.]. Workflow environments for advanced cyberinfrastructure platforms. A: IEEE International Conference on Distributed Computing Systems. "2019 39th IEEE International Conference on Distributed Computing Systems, ICDCS 2019: Richardson, Texas, United States, 7-9 July 2019: proceedings". Institute of Electrical and Electronics Engineers (IEEE), 2019, p. 1720-1729. 
URIhttp://hdl.handle.net/2117/190641
DOI10.1109/ICDCS.2019.00171
ISBN978-1-7281-2519-0
Publisher versionhttps://ieeexplore.ieee.org/abstract/document/8885062
Other identifiershttp://arxiv.org/abs/2006.07066
Collections
  • Computer Sciences - Ponències/Comunicacions de congressos [489]
  • CAP - Grup de Computació d'Altes Prestacions - Ponències/Comunicacions de congressos [779]
  • Departament d'Arquitectura de Computadors - Ponències/Comunicacions de congressos [1.827]
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