Efficient Cloud-Based Real-Time Geo-Information Delivery for Mobile Users

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 addition...

Full description

Saved in:
Bibliographic Details
Main Authors: Guang Jin, Deng, Julia, Tung Nguyen, Pan Gao, Wooster, Mark T., Qari, Shoukat H.
Format: Conference Proceeding
Language:English
Subjects:
Cloud Computing
Conferences
Europe
Geo-Information
Location-based Service
Mobile communication
Mobile Computing
Stream Processing
Online Access:Request full text
Tags: Add Tag
No Tags, Be the first to tag this record!
Description
Summary: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.
ISSN:1551-6245
2375-0324
DOI:10.1109/MDM.2015.22