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Spatio-temporal composition of Sensor Cloud services

conference contribution
posted on 2023-02-06, 00:37 authored by A G Neiat, A Bouguettaya, T Sellis, Z Ye
We propose a new framework for composing Sensor-Cloud services based on dynamic features such as spatio-temporal aspects. To evaluate spatio-temporal Sensor-Cloud services, two new quality attributes are introduced. We present a heuristic algorithm based on A∗ to compose Sensor-Cloud services in terms of spatio-temporal aspects. In addition, a new spatio-temporal technique based on 3D R-tree to access Sensor-Cloud services is proposed. Analytical and simulation results are presented to show the performance of the proposed approach.

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Pagination

241 - 248

ISBN-13

9781479950546

Title of proceedings

Proceedings - 2014 IEEE International Conference on Web Services, ICWS 2014

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