| Saurav Sthapit |
| Tue 23 Aug 2016, 13:00 - 14:00 |
| AGB Seminar Room, AGB Building, King’s Buildings, EH9 3JL |
If you have a question about this talk, please contact: Iman Tavakkolnia (s1371647)
Abstract:
Mobile Cloud Computing refers to offloading computationally intensive algorithms from a mobile device to a cloud in order to save resources (time and energy) in the mobile device. But when the connection to the cloud is non-existent or limited, as in battle-space scenarios, exploiting neighbouring devices could be an alternative. In this paper we have developed a framework to offload computationally intensive algorithms to neighbours in order to minimise the algorithm completion time. We propose resource allocation algorithms to maximize the performance of these systems in real-time computer vision applications (drop less targets). Results show significant performance improvement at the cost of using some extra energy resource. Finally we define a new performance metric which also incorporates the energy consumed and is used to compare the offloading algorithms.
Bio:
Saurav Sthapit obtained his first degree in Electronics and Communication Engineering from Tribhuvan University, Nepal and finished his Masters in Embedded Systems and Instrumentation from the University of Kent in 2011. Currently he is studying his PhD under the supervision of Prof. John Thompson, Dr. James Hopgood and Dr. Neil Robertson. His research interests are in computation offloading network of sensors and computer vision.