docker based
- system context - the available system resources from all layers
- data context - the registered metadata of all available data entities
- usage context - the expected usage intention defined by users in terms QoS, latency, and bandwidth cost
FogFlow - FogFlow v2.0 documentation
Thanks to its advanced intent-based programming model and context-driven service orchestration, FogFlow is able to provide optimized QoS with minimal development effort and nearly zero operation overhead. Currently, FogFlow has been applied into various business use cases in the areas of retails, smart cities, and smart industry.
https://fogflow.readthedocs.io/en/latest/
FIWARE/tutorials.Edge-Computing
This is an introductory tutorial for FIWARE FogFlow that allows its users to dynamically orchestrate the processing flows on edges. It explains how to enable FogFlow on a distributed or a single node system, register user defined workload patterns and orchestrate them on the edges in the form of running tasks.
https://github.com/FIWARE/tutorials.Edge-Computing

Seonglae Cho