BlazeAIoT: A Modular Multi-Layer Platform for Real-Time Distributed Robotics Across Edge, Fog, and Cloud Infrastructures

TL;DR

BlazeAIoT is a modular multi-layer platform that integrates edge, fog, and cloud infrastructures for real-time distributed robotics, offering dynamic data management, resilience, and scalability.

Contribution

It introduces a novel architecture combining Kubernetes, broker interoperability, and adaptive data mechanisms for seamless distributed robotics across heterogeneous environments.

Findings

Demonstrates robust real-time performance in navigation and AI scenarios.

Shows dynamic service allocation and latency minimization.

Validates scalability and resilience in large-scale robotics applications.

Abstract

The increasing complexity of distributed robotics has driven the need for platforms that seamlessly integrate edge, fog, and cloud computing layers while meeting strict real-time constraints. This paper introduces BlazeAIoT, a modular multi-layer platform designed to unify distributed robotics across heterogeneous infrastructures. BlazeAIoT provides dynamic data transfer, configurable services, and integrated monitoring, while ensuring resilience, security, and programming language flexibility. The architecture leverages Kubernetes-based clusters, broker interoperability (DDS, Kafka, Redis, and ROS2), and adaptive data distribution mechanisms to optimize communication and computation across diverse environments. The proposed solution includes a multi-layer configuration service, dynamic and adaptive data bridging, and hierarchical rate limiting to handle large messages. The platform is validated through robotics scenarios involving navigation and artificial intelligence-driven large-scale message processing, demonstrating robust performance under real-time constraints. Results highlight BlazeAIoT's ability to dynamically allocate services across incomplete topologies, maintain system health, and minimize latency, making it a cost-aware, scalable solution for robotics and broader IoT applications, such as smart cities and smart factories.