Research Article
IMOGA: An Architecture for Integrating Mobile Devices into Grid Applications
@INPROCEEDINGS{10.1109/MOBIQ.2007.4451035, author={ Ersan Ozturk and Deniz Turgay Altılar}, title={IMOGA: An Architecture for Integrating Mobile Devices into Grid Applications}, proceedings={1st International ICST Workshop on Mobile and Ubiquitous Context Aware Systems and Applications}, publisher={IEEE}, proceedings_a={MUBICA}, year={2008}, month={2}, keywords={Global Positioning System Ground penetrating radar Mobile handsets Pollution Sensor systems Supercomputers Temperature measurement Temperature sensors Vehicle driving XML}, doi={10.1109/MOBIQ.2007.4451035} }- Ersan Ozturk
Deniz Turgay Altılar
Year: 2008
IMOGA: An Architecture for Integrating Mobile Devices into Grid Applications
MUBICA
IEEE
DOI: 10.1109/MOBIQ.2007.4451035
Abstract
Integrating mobile devices into Grid technologies and server applications can give ability to command power of supercomputers with a mobile device on one hand and can allow big applications to reach important data anywhere, anytime, on the other. IMOGA is planned to be an example to gather and share data that can be collected by ubiquitous mobile devices which can employ different kind of sensors such as Global Positioning System (GPS), temperature, health monitoring and pollution. In this project location and speed information that is produced by GPS enabled mobile devices such as mobile phones, is used. The developed client application running on mobile devices located in vehicles, such as the mobile phone of the driver, sends location and speed information to the server application in short time intervals via GPRS in the forms of Extended Mark-up Language (XML) like messages. The developed server application, which is preloaded with the highway coordinates via files in Geographic Data Files (GDF) format, locates the street that the vehicle is moving along and the received speed information is recorded along with a timestamp. A display application has also been implemented to calculate average of speeds that any vehicle may have at that very moment and post it on the Internet and WAP. If there is no actual data, i.e. there is no vehicle moving on a specific street, statistical data is utilised to produce such information.
