Ph.D. Thesis: Application-Aware Data Management

Overview

[cite_start]Successfully defended at the University of Minnesota (November 2025), this thesis explores the intersection of application requirements and distributed infrastructure capabilities[cite: 46, 47, 48].

Core Research Areas

• Design principles for Edge Storage: Proposed a set of design principles for researching building edge native storage systems.
• Data placement: Developed data placement strategies optimizing replica storage based on network latency and demand geolocation.
• Data prefetching: Developed a prefetching strategy for edge-native applications like AR that uses temporal and spatial awareness in conjunction with associations to prefetch 3D objects.
• Data reduction: Developed a sensor selection and sampling strategy for extending wearable mean time between recharges.