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

fYear

2014

fDate

June 27 2014-July 2 2014

Firstpage

241

Lastpage

248

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;

fLanguage

English

Publisher

ieee

Conference_Titel

Web Services (ICWS), 2014 IEEE International Conference on

Conference_Location

Anchorage, AK

Print_ISBN

978-1-4799-5053-9

Type

conf

DOI

10.1109/ICWS.2014.44

Filename

6928904