Abstract
This paper describes an architecture for real-time environmental modeling. It consists of a wireless mesh network equipped with sensors and a cloud-based infrastructure to perform real-time environmental simulations using a physics-based model combined with an Ensemble Kalman Filter. The purpose of the system is to optimize groundwater abstraction close to a river. These initial studies demonstrate that the cloud infrastructure can simultaneously compute a large number of simulations, thus allowing for the implementation of Ensemble Kalman Filters in real-time.
Original language | English |
---|---|
Pages | 959-965 |
Number of pages | 7 |
DOIs | |
Publication status | Published - 9 Mar 2014 |
Event | 16th IEEE International Conference on High Performance Computing and Communications, HPCC 2014, 11th IEEE International Conference on Embedded Software and Systems, ICESS 2014 and 6th Int Symposium on Cyberspace Safety and Security - Duration: 20 Aug 2014 → … |
Conference
Conference | 16th IEEE International Conference on High Performance Computing and Communications, HPCC 2014, 11th IEEE International Conference on Embedded Software and Systems, ICESS 2014 and 6th Int Symposium on Cyberspace Safety and Security |
---|---|
Period | 20/08/14 → … |
Keywords
- cloud computing
- distributed systems
- environmental simulations
- hydrogeosphere
- mesh networking