Cloud4IoT: a heterogeneous, distributed and autonomic cloud platform for the IoT

TL;DR

Cloud4IoT is a distributed, autonomic cloud platform that enables flexible, scalable, and decentralized IoT support, integrating cloud and IoT ecosystems with plug-and-play sensor support and data analytics.

Contribution

It introduces a hierarchical, distributed architecture for IoT cloud integration, enabling dynamic deployment, orchestration, and configuration of IoT applications and support software.

Findings

Supports low latency and data locality requirements.

Demonstrated in two real-world use cases.

Bridges cloud computing and IoT ecosystems.

Abstract

We introduce Cloud4IoT, a platform offering automatic deployment, orchestration and dynamic configuration of IoT support software components and data-intensive applications for data processing and analytics, thus enabling plug-and-play integration of new sensor objects and dynamic workload scalability. Cloud4IoT enables the concept of Infrastructure as Code in the IoT context: it empowers IoT operations with the flexibility and elasticity of Cloud services. Furthermore it shifts traditionally centralized Cloud architectures towards a more distributed and decentralized computation paradigm, as required by IoT technologies, bridging the gap between Cloud Computing and IoT ecosystems. Thus, Cloud4IoT is playing a role similar to the one covered by solutions like Fog Computing, Cloudlets or Mobile Edge Cloud. The hierarchical architecture of Cloud4IoThosts a central Cloud platform and multiple remote edge Cloud modules supporting dedicated devices, namely the IoT Gateways, through which new sensor objects are made accessible to the platform. Overall, the platform is designed in order to support systems where IoT-based and data intensive applications may pose specific requirements for low latency, restricted available bandwidth, or data locality. Cloud4IoT is built on several Open Source technologies for containerisation and implementations of standards, protocols and services for the IoT. We present the implementation of the platform and demonstrate it in two different use cases.