Enabling Mobile Visual Analytics 6a.050.UL

Project Start Date: Jul 1, 2017
Research Areas: Analytics, Analytics - Visual Analytics, Visualization, Visualization - Mobile Computing, Visualization - Visual Analytics
Funding: Member Funded
Project Tags: ,

Project Summary

Inspired by the exponential proliferation of mobile devices of different form factor, this project enables context-aware visual analytics on mobile devices to support real-time intelligent decision making. Visual analytics tools are resource-intensive and pose significant challenges on resource-constrained environments (e.g., mobile devices). This project leverages cloud/edge computing to support mobile visual analytics through computation offloading. Sophisticated visual analytics algorithms will run on the backend server running on NSF Chameleon cloud infrastructure and send a JSON-encoded file to a mobile device to render visualization.

We will develop a context management platform on mobile devices to support both the decision making on the backend as well the front-end rendering based on runtime context attributes. We will develop a prototype that demonstrates the utility of mobile visual analytics in healthcare domain. However, techniques and algorithms that will be developed will be generic and applicable elsewhere.