A Novel Orchestrator Architecture for Deploying Virtualized Services in Next-Generation IoT Computing Ecosystems.

Area of Science:

• Computer Science
• Networking
• Distributed Systems

Background:

• The Internet of Things (IoT) is evolving towards complex systems requiring efficient resource management across edge, cloud, and mobile nodes.
• Dynamic network configurations and the need for managing services on distributed, mobile devices present significant challenges for traditional IoT architectures.

Purpose of the Study:

• To introduce a novel orchestrator architecture for dynamic IoT scenarios, focusing on managing services across massively distributed mobile nodes.
• To address the limitations of traditional approaches by enabling service lifecycle management without reliance on public or static IP addresses.

Main Methods:

• The proposed architecture is inspired by ETSI NFV MANO (Network Functions Virtualization Management and Orchestration) and Cloud Native principles.
• It employs a modular, microservices-based design for enhanced adaptability and scalability.
• A use case in the automotive sector demonstrates the management of services across large fleets of vehicles.

Main Results:

• The orchestrator successfully manages services in dynamic IoT environments with changing network configurations.
• It enables efficient service lifecycle management for large fleets of vehicles, even without static IP connectivity.
• The architecture proves adaptable to emerging technologies such as Edge Native, WebAssembly, and RISC-V.

Conclusions:

• The developed orchestrator architecture provides a robust solution for managing complex, dynamic IoT ecosystems, particularly in mobile scenarios.
• Its design facilitates future-proofing the IoT by embracing emerging trends and ensuring adaptability.
• This innovation enhances the utility of IoT in use cases like connected vehicles, overcoming connectivity limitations.