Serverless Platforms on the Edge: A Performance Analysis
Hamza Javed, Adel N. Toosi, Mohammad S. Aslanpour

TL;DR
This paper evaluates the performance of various serverless platforms on edge devices like Raspberry Pis, comparing them with cloud offerings to determine their suitability for low-latency, resource-constrained environments.
Contribution
It introduces the concept of serverless edge computing and provides a comparative analysis of multiple serverless platforms on SBCs versus cloud services.
Findings
OpenFaaS has the lowest response time on SBCs
Cloud serverless offerings are most reliable with highest success rates
Performance varies significantly between edge and cloud platforms
Abstract
The exponential growth of Internet of Things (IoT) has given rise to a new wave of edge computing due to the need to process data on the edge, closer to where it is being produced and attempting to move away from a cloud-centric architecture. This provides its own opportunity to decrease latency and address data privacy concerns along with the ability to reduce public cloud costs. The serverless computing model provides a potential solution with its event-driven architecture to reduce the need for ever-running servers and convert the backend services to an as-used model. This model is an attractive prospect in edge computing environments with varying workloads and limited resources. Furthermore, its setup on the edge of the network promises reduced latency to the edge devices communicating with it and eliminates the need to manage the underlying infrastructure. In this book chapter,…
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Taxonomy
TopicsIoT and Edge/Fog Computing · Cloud Computing and Resource Management
