Posters and Abstracts

This research is high-risk and high-reward. Failure means that the resulting planning algorithms will make unfair decisions and prioritize a few organizations or donors, or will make fair, but inefficient allocation decisions, which will endanger social justice and community well-being. Success will improve both eciency of resource distribution and the quality of life of underserved populations in the United States.

Introduction: Multi-scale methods are used to study phenomena that occur over multiple temporal
or spatial scales and observations at different scales often require distinct experimental protocols. A problem in quantitative physiology is to develop the methodology for simultaneous modeling and assessment of data that arise from multiple, multi-scale experimental frameworks.

As more of the world's cities suffer from congestion, pollution, and energy exploitation, urban mobility remains one of the toughest challenges that cities face as the process of population growth and urbanization continues. So far, the most common approach for urban mobility characterization focuses on vehicle's spatial and temporal positions. However, urban mobility is a multidimensional characteristic of the city life, experienced as tangled layers of interconnected infrastructures and information networks around people and their needs in a spatio--emporal frame.

NoQueue is a real-time offloading framework design to remove server side queueing delay. It predicts workload execution time for each client using time series prediction. With the knowledge of offloading period and execution time, the planner is able to predict all future queueing events. The planner adjusts the future offloading time of clients to avoid queueing. As a result, it introduces jitter of offloading interval but improve end-to-end delay performance.