Edge Based Data-Driven Pipelines (Technical Report)

TL;DR

This paper presents an edge-based, data-driven stream processing platform extending serverless computing to facilitate real-time analytics on edge devices like Raspberry Pi and Android phones.

Contribution

It introduces a novel edge on-device stream processing system and demonstrates its effectiveness through deployment on real hardware for real-time data analytics.

Findings

Stream processing analytics can be performed at the edge in real-time.

The system is successfully deployed on Raspberry Pi and Android devices.

Edge computing extends serverless models for real-time data analytics.

Abstract

This research reports investigates an edge on-device stream processing platform, which extends the serverless com- puting model to the edge to help facilitate real-time data analytics across the cloud and edge in a uniform manner. We investigate associated use cases and architectural design. We deployed and tested our system on edge devices (Raspberry Pi and Android Phone), which proves that stream processing analytics can be performed at the edge of the network with single board computers in a real-time fashion.