Odessa: enabling interactive perception applications on mobile devices

Resource constrained mobile devices need to leverage computation on nearby servers to run responsive applications that recognize objects, people, or gestures from real-time video. The two key questions that impact performance are what computation to offload, and how to structure the parallelism across the mobile device and server. To answer these questions, we develop and evaluate three interactive perceptual applications. We find that offloading and parallelism choices should be dynamic, even for a given application, as performance depends on scene complexity as well as environmental factors such as the network and device capabilities. To this end we develop Odessa, a novel, lightweight, runtime that automatically and adaptively makes offloading and parallelism decisions for mobile interactive perception applications. Our evaluation shows that the incremental greedy strategy of Odessa converges to an operating point that is close to an ideal offline partitioning. It provides mor...

• Type: Journal
• Year: 2011
• Where: MOBISYS
• Authors: Moo-Ryong Ra, Anmol Sheth, Lily B. Mummert, Padmanabhan Pillai, David Wetherall, Ramesh Govindan
• Keywords: Army Research Laboratory, Computer Networks, Cooperative Agreement Number, MOBISYS 2011, Scene Complexity