Failure-proof spatio-temporal composition of sensor cloud services
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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.
Lecture Notes in Computer Science (including subseries Lecture Notes in Artificial Intelligence and Lecture Notes in Bioinformatics)
School of Accounting
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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