Failure-proof spatio-temporal composition of sensor cloud services
conference contribution
posted on 2024-10-31, 18:16authored byAzadeh Ghari Neiat, Athman Bouguettaya, Timos Sellis, Hai DongHai Dong
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.
History
Start page
368
End page
377
Total pages
10
Outlet
Proceedings of the 12th International Conference on Service-Oriented Computing (ICSOC 2014): LNCS 8831
Editors
Xavier Franch, Aditya K. Ghose, Grace A. Lewis, Sami Bhiri