Smartphones form an emerging mobile computing platform that has hybrid characteristics borrowed from PC and feature phone environments. While maintaining great mobility and portability as feature phones, smartphones offers advanced computation capabilities and network connectivity. Although the smartphone platform can support PC-grade applications, the platform exhibits fundamentally different characteristics from the PC platform. Two important problems arise in the smartphone platform: how to mobilize applications and how to deliver them effectively. Traditional application mobilization involves significant cost in development and typically provides limited functionality of the PC version. Since the mobile applications rely on the embedded wireless interfaces of smartphones for network access, the application performance is impacted by the inferior characteristics of the wireless networks. Our first contribution is super-aggregation, a rapid application delivery protocol that in tandem uses the multiple interfaces intelligently to achieve a performance that is ``better than the sum of throughputs' achievable through each of the interfaces individually. The second contribution is MORPH, a remote computing protocol for heterogeneous devices that transforms the application views on the PC platform into smartphone-friendly views. MORPH virtualizes application views independent of the UI framework used into an abstract representation called virtual view. It allows transformation services to be easily programmed to realize a smartphone friendly view by manipulating the virtual view. The third contribution is the system design of super-aggregation and MORPH that achieve rapid application delivery and mobilization. Both solutions require only software modifications that can be easily deployed to smartphones.
| Identifer | oai:union.ndltd.org:GATECH/oai:smartech.gatech.edu:1853/49022 |
| Date | 02 July 2012 |
| Creators | Tsao, Cheng-Lin |
| Contributors | Sivakumar, Raghupathy |
| Publisher | Georgia Institute of Technology |
| Source Sets | Georgia Tech Electronic Thesis and Dissertation Archive |
| Language | en_US |
| Detected Language | English |
| Type | Dissertation |
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