FogFlow is a standard-based data processing framework for service providers to easily programming and managing IoT services over cloud and edges. Below are the motivation, functionalities, and benefits of FogFlow.

• Why do we need FogFlow?

  • the cost of a cloud-only solution is too high to run a large scale IoT system with >1000 geo-distributed devices
  • many IoT services require fast response time, such as <10ms end-to-end latency
  • service providers are facing huge complexity and cost to fast design and deploy their IoT services in a cloud-edge environment - business demands are changing fast over time and service providers need to try out and release any new services over their shared cloud-edge infrastructure at a fast speed
  • lack of programming model to fast design and deploy IoT services over geo-distributed ICT infrastructure
  • lack of interoperability and openness to share and reuse data and dervied results across various applications

• What does FogFlow provide?

  • efficient programming model: programming a service is like building lego blocks
  • dynamic service orchestration: launching necessary data processing only when it is required
  • optimized task deployment: assigning tasks between cloud and edges based on the locality of producers and consumers
  • scalable context management: allowing flexible information exchanging (both topic-based and scope-based) between producers and consumers

• How can customers benefit from FogFlow?

  • fast time-to-market when realizing and releasing new services over the shared, geo-distributed ICT infrastructure
  • reduced operation cost and management complexity when operating variou services
  • being able to provide services that require low latency and fast response time

• Documentation
• IoT-J paper

FogFlow is licensed under BSD-4-Clause.