The intention of facilitating simultaneous execution for both latency sensitive and computing intensive Internet of Things (IoT) applications is consistently boosting the necessity of integrating Edge, Fog and Cloud infrastructure. There exists a notable number of real-world frameworks for attaining such integration. However, the limitations of existing frameworks in terms of platform independence, security, resource management and multi-application assistance resist the potentiality of integrated environment. Therefore, in this paper, we developed a simplified but effective framework, named FogBus for implementing end-to-end IoTFog( Edge)-Cloud integration. FogBus offers a platform independent interface to IoT applications and computing instances for execution and interaction. It not only assists developers in building up applications but also supports users in running multiple applications at a time and service providers to manage their resources. In addition, FogBus applies Blockchain, authentication and encryption techniques to secure operations on sensitive data. Besides, it is easy to deploy, scalable, energy and cost efficient. To demonstrate the efficacy, we also designed a prototype for Sleep Apnea analysis through FogBus framework. The experimental results of this case study show that different FogBus settings can improve latency, energy, network and CPU usage of the computing infrastructure.
The major contributions of this work are listed as:
For installing FogBus please refer to the User Manual.
For developing custom policies or protocols please refer to the Developer Manual.
Fog Computing, Edge Computing, Cloud Computing, Internet of Things(IoT), Blockchain.
GPL v2.0
To contribute please raise a merge request. If you find any bugs in the code please raise an issue.
FogBus has been developed by:
Tuli, Shreshth, et al. FogBus: A Blockchain-based Lightweight Framework for Edge and Fog Computing arXiv preprint arXiv:1811.11978 (2018).