Collaborative and Adaptive Mobile Device-Resident Service Architectures
Speaker: Emmanouil Koukoumidis
Series: Final Public Orals
Location: Engineering Quadrangle J401
Date/Time: Thursday, December 1, 2011, 10:00 a.m. - 12:00 p.m.
Mobile devices, such as smartphones and personal media players, have recently
significantly increased in popularity thanks to the rich set of mobile cloud services that they allow users to access. Networked vehicular computing devices are also expected to be commonplace in the near future, as they will enable a wide range of driver assistance services. The ubiquitous penetration of mobile services, however, has been thwarted by their poor user experience; access to mobile cloud services typically occurs over slow and costly long-range cellular communications.
This thesis focuses on improving the user experience of mobile services by reducing the need for costly long-range cellular communications. To achieve this, the thesis proposes to host more service functionality on mobile devices themselves. In this way, mobile devices are often able to serve requests either locally or by contacting neighbor devices over short-range communications.
The thesis demonstrates that with collaboration and adaptation mobile devices can effectively determine which data to cache and prefetch, coordinate accurately their participation in the provision of services and perform challenging tasks like the camera-based detection and prediction of traffic signal schedules, without the need for cloud servers and long-range communications to reach them. In this way, the mobile user experience can be greatly improved and a significant amount of the increasingly scarce long-range communication bandwidth can be saved.