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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Neiat, A.G., Bouguettaya, A., Sellis, T., Dong, H. (2014). Failure-Proof Spatio-temporal Composition of Sensor Cloud Services. In: Franch, X., Ghose, A.K., Lewis, G.A., Bhiri, S. (eds) Service-Oriented Computing. ICSOC 2014. Lecture Notes in Computer Science, vol 8831. Springer, Berlin, Heidelberg. https://doi.org/10.1007/978-3-662-45391-9_26
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DOI: https://doi.org/10.1007/978-3-662-45391-9_26
Publisher Name: Springer, Berlin, Heidelberg
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