Graphical-Information Central of Composite Analysis on Big Sensor-Data of Engineering Inspection
Pages 284 - 286
Abstract
The amounts of data volume are escalated in the scientific and engineering fields by the improvement of instruments as higher resolution or rates commence more precise or accurate analyses. The aim of this work is to comprise an information system for maintenance of one physical system, a train consist. The information of the entity is provided by collecting, managing and analyzing the sensor data along the part's lifetime. The data gathered at local storages is staged as time goes on and the data volume overwhelms the processing capacity of an ordinary computing system. The big data processing would be constituted with desktop PCs and a few server machines.
References
[1]
Guinard, D., Trifa, V., Karnouskos, S., Spiess, P., and Savio, D. 2010. Interacting with the SOA-Based Internet of Things: Discovery, Query, Selection, and On-Demand Provisioning of Web Services. IEEE Tran. Serv. Comp. 3, 3, 223--235.
[2]
Jacobs. A. 2009. The Pathologies of Big Data. Comm.ACM 52, 8, 36--44.
[3]
Giner, P., Cetina, C., Fons, J., and Pelechano, V. 2010. Developing Mobile Workflow Support in the Internet of Things. IEEE Perv. Comp. 9, 2, 18--26.
[4]
Chu, X., Nadiminti, K., Jin, C., Venugopal, S., and Buyya, R. 2007. Aneka: Next-Generation Enter-prise Grid Platform for e-Science and e-Business Applications. In Proceedings of the e-Science and Grid Computing. IEEE, 151--159.
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October 2015
321 pages
ISBN:9781450338462
DOI:10.1145/2837060
- Conference Chairs:
- Jongsup Choi,
- Sun Hwa Han,
- Joo-Yeoun Lee,
- Taeho Park,
- Editor:
- Aziz Nasridinov,
- Program Chairs:
- Carson K. Leung,
- Yoo-Sung Kim,
- Young-Koo Lee
Copyright © 2015 ACM.
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Association for Computing Machinery
New York, NY, United States
Publication History
Published: 20 October 2015
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- Research-article
- Research
- Refereed limited
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BigDAS '15
BigDAS '15: 2015 International Conference on Big Data Applications and Services
October 20 - 23, 2015
Jeju Island, Republic of Korea
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