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.
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CITATION STYLE
Neiat, A. G., Bouguettaya, A., Sellis, T., & Dong, H. (2014). Failure-proof spatio-temporal composition of sensor cloud services. In Lecture Notes in Computer Science (including subseries Lecture Notes in Artificial Intelligence and Lecture Notes in Bioinformatics) (Vol. 8831, pp. 368–377). Springer Verlag. https://doi.org/10.1007/978-3-662-45391-9_26
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