Modeling of Edge Compute Infrastructure

While edge computing has become increasingly relevant to satisfy the demand for low-latency based compute services, the hardware used in edge computing has become extremely complex. This is due to the incorporation of processing units such as graphical processing units, neural processing units and field processing gate arrays. Our focus is on designing better abstraction models to identify which processing units should be used for such computation, and the tradeoffs involved in them. This would enable both lower latency and more energy-efficient computation.