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| Content Provider | IEEE Xplore Digital Library |
|---|---|
| Author | Kulhanek, T. Matejak, M. Silar, J. Kofranek, J. |
| Copyright Year | 2014 |
| Description | Author affiliation: Inst. of Pathological Physiol., Charles Univ. in Prague, Prague, Czech Republic (Kulhanek, T.; Matejak, M.; Silar, J.; Kofranek, J.) |
| Abstract | A generic system for estimation of model parameters - calibrate models - is introduced. The proposed system architecture is built of several loosely coupled modules behaving as RESTful web services and allowing to integrate other parts of the system via HTTP protocol and data exchanged in JSON format. The system was designed in such a way that the most demanding computational part is computed in parallel and computation may be distributed to remote computational resources. A test deployment was done in scientific cloud provided by czech NGI CESNET. Parameter identification of complex models got significant speedup on cloud computing resources. |
| Sponsorship | IEEE Comput. Soc. |
| Starting Page | 712 |
| Ending Page | 715 |
| File Size | 567282 |
| Page Count | 4 |
| File Format | |
| ISBN | 9781479921317 |
| DOI | 10.1109/BHI.2014.6864463 |
| Language | English |
| Publisher | Institute of Electrical and Electronics Engineers, Inc. (IEEE) |
| Publisher Date | 2014-06-01 |
| Publisher Place | Spain |
| Access Restriction | Subscribed |
| Rights Holder | Institute of Electrical and Electronics Engineers, Inc. (IEEE) |
| Subject Keyword | Computational modeling Mathematical model Object oriented modeling Physiology Biological system modeling Parameter estimation Data models |
| Content Type | Text |
| Resource Type | Article |
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