Using Simple PID-inspired Controllers for Online Resilient Resource Management of Distributed Scientific Workflows

Rafael Ferreira da Silva; Rosa Filgueira; Ewa Deelman; Erola Pairo-Castineira; Ian Overton; Malcolm Atkinson

doi:10.1016/j.future.2019.01.015

Using Simple PID-inspired Controllers for Online Resilient Resource Management of Distributed Scientific Workflows

Rafael Ferreira da Silva
, Rosa Filgueira
, Ewa Deelman
, Erola Pairo-Castineira
, Ian Overton
, Malcolm Atkinson

School of Medicine, Dentistry and Biomedical Sciences

Research output: Contribution to journal › Article › peer-review

32 Citations (Scopus)

251 Downloads (Pure)

Original language	English
Pages (from-to)	615-628
Journal	Future Generation Computing Systems
Volume	95
Early online date	28 Jan 2019
DOIs	https://doi.org/10.1016/j.future.2019.01.015
Publication status	Published - Jun 2019

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Using Simple PID-inspired Controllers for Online Resilient Resource Management of Distributed Scientific Workflows
Copyright 2019 Elsevier. This manuscript is distributed under a Creative Commons Attribution-NonCommercial-NoDerivs License (https://creativecommons.org/licenses/by-nc-nd/4.0/), which permits distribution and reproduction for non-commercial purposes, provided the author and source are cited
Accepted author manuscript, 10.1 MBLicence: CC BY-NC-ND

Ian Overton
- I.Overtonqub.acuk
- School of Medicine, Dentistry and Biomedical Sciences - Reader
- The Johnston Cancer Research Centre
Person: Academic

Cite this

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title = "Using Simple PID-inspired Controllers for Online Resilient Resource Management of Distributed Scientific Workflows",

author = "\{Ferreira da Silva\}, Rafael and Rosa Filgueira and Ewa Deelman and Erola Pairo-Castineira and Ian Overton and Malcolm Atkinson",

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AU - Ferreira da Silva, Rafael

AU - Filgueira, Rosa

AU - Deelman, Ewa

AU - Pairo-Castineira, Erola

AU - Overton, Ian

AU - Atkinson, Malcolm

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JO - Future Generation Computing Systems

JF - Future Generation Computing Systems

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Using Simple PID-inspired Controllers for Online Resilient Resource Management of Distributed Scientific Workflows

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Ian Overton

Cite this