Title :
Spatio-temporal Composition of Sensor Cloud Services
Author :
Neiat, Azadeh Ghari ; Bouguettaya, Athman ; Sellis, Timos ; Zhen Ye
Author_Institution :
Sch. of Comput. Sci. & Inf. Technol., R. Melbourne Inst. of Technol., Melbourne, VIC, Australia
fDate :
June 27 2014-July 2 2014
Abstract :
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.
Keywords :
cloud computing; heuristic programming; quality of service; wireless sensor networks; 3D R-tree; QoS; cloud computing; heuristic algorithm; sensor cloud services; spatio-temporal sensor-cloud services; spatio-temporal technique; Computational modeling; Heuristic algorithms; Quality of service; Real-time systems; Silicon; Three-dimensional displays; Wireless sensor networks; Sensor-Cloud; Sensor-Cloud service composition; spatio-temporal QoS; spatio-temporal Sensor-Cloud service;
Conference_Titel :
Web Services (ICWS), 2014 IEEE International Conference on
Conference_Location :
Anchorage, AK
Print_ISBN :
978-1-4799-5053-9
DOI :
10.1109/ICWS.2014.44
