Exploring Function as a Service for Emerging Latency Sensitive Applications
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Parsa, Aidan
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Abstract
Function-as-a-Service (FaaS) is a promising approach to conserve resources and aid multi-tenancy in the presence of user traffic unpredictability. Emerging applications like autonomous driving and drone navigation explore the role of Edge nodes as a way to enhance perception capabilities and cope with, in many cases, limited onboard resources. Prior work on these applications have envisioned Edge node support as long running and monolithic services, and their efficacy and suitability for the FaaS paradigm is unexplored. This research effort focuses on characterizing the functions used by emergent applications and evaluating the suitability of porting such applications to be FaaS compliant.
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Undergraduate Research Option Thesis