Sotiriadis, Stelios and Bessis, N. and Asimakopoulou, E. and Mustafee, N. (2014) Towards simulating the Internet of Things. In: UNSPECIFIED (ed.) 2014 28th International Conference on Advanced Information Networking and Applications Workshops. IEEE, pp. 444-448. ISBN 9781479926534.
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Abstract
There is an increasing interest in Internet of Things (IoT) and healthcare is considered to be one of the most common applications of it. Using the IoT paradigm, various devices including smart-phones and sensor-embedded healthcare applications can be used for monitoring health. In this study, we model an IoT use case scenario with regard to monitoring the activities associated with health. In particular, we present our use case using the SimIoT extended simulation toolkit to demonstrate the various functions and the interactions occurring within the IoT-enabled healthcare context. Specifically, we extend the functionalities of the SimIC simulation toolkit by adding the IoT layer that incorporates IoT devices which generated data for the private clouds. We focus our experimental analysis from the perspective of cloud performance to illustrate the turnaround and makespan of the system.
Metadata
| Item Type: | Book Section |
|---|---|
| Keyword(s) / Subject(s): | Internet of Things;health care;patient monitoring;sensors;smart phones;Internet of Things;IoT layer;IoT-enabled healthcare context;SimIC simulation toolkit;SimIoT extended simulation toolkit;health monitoring;private clouds;sensor-embedded healthcare applications;smart-phones;Cloud computing;Computational modeling;Conferences;Performance evaluation;Resource management;Scheduling;Sensors;Emergency scenarios;Heathcare;Internet of Things;Job processing;Simulation toolkits |
| School: | Birkbeck Faculties and Schools > Faculty of Science > School of Computing and Mathematical Sciences |
| Research Centres and Institutes: | Birkbeck Knowledge Lab |
| Depositing User: | Stelios Sotiriadis |
| Date Deposited: | 01 Oct 2018 13:16 |
| Last Modified: | 09 Aug 2023 12:43 |
| URI: | https://eprints.bbk.ac.uk/id/eprint/21815 |
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