DocumentCode :
2285749
Title :
Efficient Cloud-Based Real-Time Geo-Information Delivery for Mobile Users
Author :
Jin, Guang ; Deng, Julia ; Nguyen, Tung ; Gao, Pan ; Wooster, Mark T. ; Qari, Shoukat H.
Volume :
1
fYear :
2015
fDate :
15-18 June 2015
Firstpage :
251
Lastpage :
254
Abstract :
The increasing popularity of smart mobile devices enables a widespread use of Location Based Services (LBS). LBSs require real-time processing of frequent updating data (i.e., Streams), and return customized results to mobile users based on their own locations. The mobile environment brings additional design and development considerations to LBS applications, such as real-time awareness, energy efficiency, and privacy preservation. In a recent project, we worked on the Emergency Medical Service as an example LBS application, and developed a Cloud-based LBS prototype, named as Early Alert System (EARS), to deliver real-time emergency vehicle´s information to smart mobile devices based on their geo-proximity. EARS leverages Cloud-based stream processing systems to address the real-time stream processing needs, and also develops effective methods to conserve energy consumption and preserve user privacy. EARS is an efficient approach to deliver real-time geo-information from the Cloud to mobile users, and can be easily generalized to other LBS applications in the mobile environment.
Keywords :
Conferences; Europe; Mobile communication; Cloud Computing; Geo-Information; Location-based Service; Mobile Computing; Stream Processing;
fLanguage :
English
Publisher :
ieee
Conference_Titel :
Mobile Data Management (MDM), 2015 16th IEEE International Conference on
Conference_Location :
Pittsburgh, PA, USA
Print_ISBN :
978-1-4799-9971-2
Type :
conf
DOI :
10.1109/MDM.2015.22
Filename :
7264329
Link To Document :
بازگشت