Clement, SJ orcid.org/0000-0003-2918-5881, McKee, DW orcid.org/0000-0002-9047-7990, Romano, R orcid.org/0000-0002-2132-4077 et al. (3 more authors) (2017) The Internet of Simulation: Enabling Agile Model Based Systems Engineering for Cyber-Physical Systems. In: IEEE 12th System of Systems Engineering Conference (SoSE 2017). SoSE 2017, 18-21 Jun 2017, Waikoloa, Hawaii, USA. IEEE ISBN 978-1-5090-5945-4
Abstract
The expansion of the Internet of Things (IoT) has resulted in a complex cyber-physical system of systems that is continually evolving. With ever more complex systems being developed and changed there has been an increasing reliance on simulation as a vital part of the design process. There is also a growing need for simulation integration and co-simulation in order to analyse the complex interactions between system components. To this end we propose that the Internet of Simulation (IoS) as an extension of IoT can be used to meet these needs. The IoS allows for multiple heterogeneous simulations to be integrated together for co-simulation. It's effect on the engineer process is to facilitate agile practices without sacrificing rigour. An Industry 4.0 example case study is provided showing how IoS could be utilized.
Metadata
Item Type: | Proceedings Paper |
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Authors/Creators: |
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Copyright, Publisher and Additional Information: | c) 2017, IEEE. Personal use of this material is permitted. Permission from IEEE must be obtained for all other uses, in any current or future media, including reprinting/republishing this material for advertising or promotional purposes, creating new collective works, for resale or redistribution to servers or lists, or reuse of any copyrighted component of this work in other works. |
Keywords: | WFaaS; SIMaaS; M&S; Modelling; Workflow; Services; Real-Time; SOA; Cloud; Simulation; IoT; IoE; IoS; Unified modeling language, Standards, Cloud computing, Computational modeling, Tools |
Dates: |
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Institution: | The University of Leeds |
Academic Units: | The University of Leeds > Faculty of Engineering & Physical Sciences (Leeds) > School of Computing (Leeds) |
Funding Information: | Funder Grant number EPSRC EP/K014145/1 EPSRC EP/K014226/1 EPSRC EP/K503836/1 |
Depositing User: | Symplectic Publications |
Date Deposited: | 02 May 2017 15:26 |
Last Modified: | 12 Sep 2017 02:52 |
Status: | Published |
Publisher: | IEEE |
Identification Number: | 10.1109/SYSOSE.2017.7994948 |
Open Archives Initiative ID (OAI ID): | oai:eprints.whiterose.ac.uk:115779 |