Failure-proof spatio-temporal composition of sensor cloud services
We propose a new failure-proof composition model for Sensor-Cloud services based on dynamic features such as spatio-temporal aspects. To evaluate Sensor-Cloud services, a novel spatio-temporal quality model is introduced. We present a new failure-proof composition algorithm based on D* Lite to handl...
| Main Authors: | , , , |
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| Format: | Conference Paper |
| Published: |
Springer Verlag
2014
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| Online Access: | http://hdl.handle.net/20.500.11937/7893 |
| _version_ | 1848745500351660032 |
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| author | Neiat, A. Bouguettaya, A. Sellis, T. Dong, Hai |
| author_facet | Neiat, A. Bouguettaya, A. Sellis, T. Dong, Hai |
| author_sort | Neiat, A. |
| building | Curtin Institutional Repository |
| collection | Online Access |
| description | We propose a new failure-proof composition model for Sensor-Cloud services based on dynamic features such as spatio-temporal aspects. To evaluate Sensor-Cloud services, a novel spatio-temporal quality model is introduced. We present a new failure-proof composition algorithm based on D* Lite to handle QoS changes of Sensor-Cloud services at run-time. Analytical and simulation results are presented to show the performance of the proposed approach. |
| first_indexed | 2025-11-14T06:18:21Z |
| format | Conference Paper |
| id | curtin-20.500.11937-7893 |
| institution | Curtin University Malaysia |
| institution_category | Local University |
| last_indexed | 2025-11-14T06:18:21Z |
| publishDate | 2014 |
| publisher | Springer Verlag |
| recordtype | eprints |
| repository_type | Digital Repository |
| spelling | curtin-20.500.11937-78932017-01-30T11:03:11Z Failure-proof spatio-temporal composition of sensor cloud services Neiat, A. Bouguettaya, A. Sellis, T. Dong, Hai We propose a new failure-proof composition model for Sensor-Cloud services based on dynamic features such as spatio-temporal aspects. To evaluate Sensor-Cloud services, a novel spatio-temporal quality model is introduced. We present a new failure-proof composition algorithm based on D* Lite to handle QoS changes of Sensor-Cloud services at run-time. Analytical and simulation results are presented to show the performance of the proposed approach. 2014 Conference Paper http://hdl.handle.net/20.500.11937/7893 Springer Verlag restricted |
| spellingShingle | Neiat, A. Bouguettaya, A. Sellis, T. Dong, Hai Failure-proof spatio-temporal composition of sensor cloud services |
| title | Failure-proof spatio-temporal composition of sensor cloud services |
| title_full | Failure-proof spatio-temporal composition of sensor cloud services |
| title_fullStr | Failure-proof spatio-temporal composition of sensor cloud services |
| title_full_unstemmed | Failure-proof spatio-temporal composition of sensor cloud services |
| title_short | Failure-proof spatio-temporal composition of sensor cloud services |
| title_sort | failure-proof spatio-temporal composition of sensor cloud services |
| url | http://hdl.handle.net/20.500.11937/7893 |