Master of Science
In this thesis, we designed and implemented two versions of a real-time object de- tection application: A stand alone version and a cloud version. Through applying the application to a cloudlet environment, we are able to perform experiments and uses the results to illustrate the potential improvement that a cloudlet architecture can bring to mobile applications that require access to large amounts of cloud data or intensive com- putation. Potential improvements include data access speed, reduced CPU and memory usages as well as reduced battery consumption on mobile devices.
Zhu, XuTong, "Using a Real-Time Object Detection Application to Illustrate Effectiveness of Offloading and Prefetching in Cloudlet Architecture" (2016). Electronic Thesis and Dissertation Repository. 4176.