ECHO: An Adaptive Orchestration Platform for Hybrid Dataflows across Cloud and Edge

Published in International Conference on Service-Oriented Computing, 2017

The Internet of Things (IoT) is offering unprecedented observational data that are used for managing Smart City utilities. Edge-computing is emerging as first-class paradigm to complement Cloud-centric analytics. But a key limitation is the lack of a platform-as-a- service for applications spanning Edge and Cloud. ECHO’s hybrid dataflow composition can operate on diverse data models – streams, micro-batches and files, and interface with native runtime engines like TensorFlow and Storm to execute them.

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