MAUI (short for Mobile Assistance Using Infrastructure) enables a new class of cpu- and data-intensive applications that seamlessly augment the cognitive abilities of users by exploiting speech recognition, NLP, vision, machine learning, and augmented reality. it overcomes the energy limitations of handhelds by leaveraging nearby computing infrastructure.
Brief Description
The size, weight, and battery life of mobile devices severely limit the class of applications that run on them. This is not just a temporary limitation, it is intrinsic to the types of mobile hardware that people are willing to carry for extended time periods. A “MAUI Node” is nearby computing infrastructure, connected to mobile devices by a high bandwidth, low latency wireless LAN. MAUI enables a new class of cpu- and data-intensive applications that seamlessly augment the cognitive abilities of users by exploiting speech recognition, NLP, vision, machine learning, and augmented reality.
The best way to impose requirements on Maui and demonstrate the power of the platform is by actually building web-services that take advandage of MAUI nodes. We are starting to build some sample "partitioned" application that use MAUI: interactive games, and a voice-based language translation application.
2009
- Mahadev Satyanarayanan, Paramvir Bahl, Ramon Caceres, and Nigel Davies, The Case for VM-based Cloudlets in Mobile Computing, in IEEE Pervasive Computing, IEEE, November 2009
Interns
- Aruna Balasubramanium, University of Massachusetts (Summer 2009)
- Daeki Cho, University of California Los Angeles (Summer 2009)
- Eduardo Cuervo Laffaye, Duke University (Summer 2009)
- Shravan Rayanchu, University of Wisconsin (Summer 2009)
University Collaborators
- Mahadev Satya, Carnegie Mellon University
- Ramesh Govindan, University of Southern California
- Mario Gerla, University of California Los Angeles
