Failure-proof spatio-temporal composition of sensor cloud services
| dc.contributor.author | Neiat, A. | |
| dc.contributor.author | Bouguettaya, A. | |
| dc.contributor.author | Sellis, T. | |
| dc.contributor.author | Dong, Hai | |
| dc.date.accessioned | 2017-01-30T11:03:11Z | |
| dc.date.available | 2017-01-30T11:03:11Z | |
| dc.date.created | 2015-10-29T04:08:26Z | |
| dc.date.issued | 2014 | |
| dc.identifier.citation | Neiat, A. and Bouguettaya, A. and Sellis, T. and Dong, H. 2014. Failure-proof spatio-temporal composition of sensor cloud services, pp. 368-377: Springer Verlag. | |
| dc.identifier.uri | http://hdl.handle.net/20.500.11937/7893 | |
| dc.description.abstract |
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. | |
| dc.publisher | Springer Verlag | |
| dc.title | Failure-proof spatio-temporal composition of sensor cloud services | |
| dc.type | Conference Paper | |
| dcterms.source.volume | 8831 | |
| dcterms.source.startPage | 368 | |
| dcterms.source.endPage | 377 | |
| dcterms.source.title | Lecture Notes in Computer Science (including subseries Lecture Notes in Artificial Intelligence and Lecture Notes in Bioinformatics) | |
| dcterms.source.series | Lecture Notes in Computer Science (including subseries Lecture Notes in Artificial Intelligence and Lecture Notes in Bioinformatics) | |
| dcterms.source.isbn | 9783662453902 | |
| curtin.department | School of Accounting | |
| curtin.accessStatus | Fulltext not available |
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