ECE Assistant Professor Dario Pompili has won a Young Investigator Program grant from the Office of Naval Research (ONR), one of only 26 awarded nationwide in 2012 for his proposal titled: "Investigating Fundamental Problems for Real-time In-situ Data Processing in Heterogeneous Mobile Computing Grids".
The YIP program invests in academic scientists and engineers who show exceptional promise for creative study. Pompili earned his Ph.D. in electrical and computer engineering at the Georgia Institute of Technology in 2007; since then, he has been an assistant professor of electrical and computer engineering at Rutgers University. In 2011, he received the NSF CAREER award for his work on underwater multimedia acoustic communication and the Rutgers/ECE Outstanding Young Researcher award.
The objective of his three-year YIP project, titled "Investigating Fundamental Problems for Real-time In-situ Data Processing in Heterogeneous Mobile Computing Grids," is to enable real-time in-situ vital sign data processing so to extract non-measurable physiological parameters, to interpret it under context, and to acquire actionable knowledge about the soldier's health.
To realize this objective, which requires computing capabilities that go beyond those of an individual sensor mote's and/or portable device's, the collective computational capabilities of hand-held computers, rugged PDAs, and tactical computers carried by soldiers and/or armored vehicles in the vicinity as well as remote computing clusters need to be exploited.
This research project focuses on the fundamental research challenges to organizing these resources into an elastic resource pool (a hybrid computing grid). The most significant challenge is presented by the inherent uncertainty in the environment that can be attributed to unpredictable node mobility, varying rate of battery drain, and high susceptibility to hardware failures. The significant contributions of this research are i) a role-based architectural framework for reliable grid coordination under uncertainty, i.e., for handling resource/service discovery, service request arrivals, and workload distribution and management, and ii) a novel uncertainty- and energy-aware resource allocation engine, which will distribute the workload tasks optimally among the networked computing devices so to ensure Quality of Service (QoS) in terms of application response time and energy consumption.
Dr. Pompili is site co-director of the Cloud and Autonomic Computing Center (CAC) and part of the Rutgers Discover Informatics Institute (RDI2). He is Assistant Professor of Electrical and Computer Engineering. You can find more information about Dr. Pompili at http://www.ece.rutgers.edu/~pompili/.