Abstract
Sensors incorporated into mobile devices provide unique opportunities to capture detailed environmental information that cannot be readily collected in other ways. We show here how data from networked navigational sensors on leisure vessels can be used to construct unique new datasets, using the example of underwater topography (bathymetry) to demonstrate the approach. Specifically, we describe an end-to-end workflow that involves the collection of large numbers of timestamped (position, depth) measurements from "internet of floating things" devices on leisure vessels; the communication of data to cloud resources, via a specialized protocol capable of dealing with delayed, intermittent, or even disconnected networks; the integration of measurement data into cloud storage; the efficient correction and interpolation of measurements on a cloud computing platform; and the creation of a continuously updated bathymetric database. Our prototype implementation of this workflow leverages the FACE-IT Galaxy workflow engine to integrate network communication and database components with a CUDA-enabled algorithm running in a virtualized cloud environment.
Original language | English |
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Title of host publication | WORKS '17 Proceedings of the 12th Workshop on Workflows in Support of Large-Scale Science |
Number of pages | 11 |
Publisher | Association for Computing Machinery |
Publication date | 2017 |
Article number | 8 |
ISBN (Print) | 978-1-4503-5129-4 |
DOIs | |
Publication status | Published - 2017 |
Event | SC17: International Conference for High Performance Computing, Networking, Storage and Analysis - Denver, United States Duration: 12 Nov 2017 → 17 Nov 2017 Conference number: 32975 |
Conference
Conference | SC17: International Conference for High Performance Computing, Networking, Storage and Analysis |
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Number | 32975 |
Country/Territory | United States |
City | Denver |
Period | 12/11/2017 → 17/11/2017 |
Series | WORKS - Proceedings of the Workshop on Workflows in Support of Large-Scale Science |
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Keywords
- GPU, bathymetry interpolation, cloud computing, data crowd sourcing, internet of things, mobile devices, workflow