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CAMINO: Cloud-native Autonomous Management and Intent-based Orchestrator

Konstantinos Antonakoglou, Ioannis Mavromatis, Saptarshi Ghosh, Mark Rouse, Konstantinos Katsaros

TL;DR

This paper addresses the complexity of MANO for distributed cloud-native networks across multiple edge domains. It proposes CAMINO, a modular, CaD-enabled, intent-driven orchestrator that unifies an Orchestration Manager, Domain Manager, Network Manager, Admission Control, and a monitoring stack to enable zero-touch provisioning. The authors detail the architecture, workflows for deployment, reconciliation, and domain management, and demonstrate an end-to-end implementation leveraging Kubernetes, GitLab, kpt, Porch/Nephio, Istio, Thanos, and InfluxDB. The work advances scalable, observable, cross-domain orchestration for 6G-style edge-cloud deployments and points to AI-driven future enhancements.

Abstract

This paper introduces CAMINO, a Cloud-native Autonomous Management and Intent-based Orchestrator designed to address the challenges of scalable, declarative, and cloud-native service management and orchestration. CAMINO leverages a modular architecture, the Configuration-as-Data (CaD) paradigm, and real-time resource monitoring to facilitate zero-touch provisioning across multi-edge infrastructure. By incorporating intent-driven orchestration and observability capabilities, CAMINO enables automated lifecycle management of network functions, ensuring optimized resource utilisation. The proposed solution abstracts complex configurations into high-level intents, offering a scalable approach to orchestrating services in distributed cloud-native infrastructures. This paper details CAMINO's system architecture, implementation, and key benefits, highlighting its effectiveness in cloud-native telecommunications environments.

CAMINO: Cloud-native Autonomous Management and Intent-based Orchestrator

TL;DR

This paper addresses the complexity of MANO for distributed cloud-native networks across multiple edge domains. It proposes CAMINO, a modular, CaD-enabled, intent-driven orchestrator that unifies an Orchestration Manager, Domain Manager, Network Manager, Admission Control, and a monitoring stack to enable zero-touch provisioning. The authors detail the architecture, workflows for deployment, reconciliation, and domain management, and demonstrate an end-to-end implementation leveraging Kubernetes, GitLab, kpt, Porch/Nephio, Istio, Thanos, and InfluxDB. The work advances scalable, observable, cross-domain orchestration for 6G-style edge-cloud deployments and points to AI-driven future enhancements.

Abstract

This paper introduces CAMINO, a Cloud-native Autonomous Management and Intent-based Orchestrator designed to address the challenges of scalable, declarative, and cloud-native service management and orchestration. CAMINO leverages a modular architecture, the Configuration-as-Data (CaD) paradigm, and real-time resource monitoring to facilitate zero-touch provisioning across multi-edge infrastructure. By incorporating intent-driven orchestration and observability capabilities, CAMINO enables automated lifecycle management of network functions, ensuring optimized resource utilisation. The proposed solution abstracts complex configurations into high-level intents, offering a scalable approach to orchestrating services in distributed cloud-native infrastructures. This paper details CAMINO's system architecture, implementation, and key benefits, highlighting its effectiveness in cloud-native telecommunications environments.

Paper Structure

This paper contains 15 sections, 3 figures.

Table of Contents

  1. Introduction
  2. Related Work
  3. System architecture
  4. Deployment Intents and Packages
  5. Order of Deployment and Service Brokering
  6. Reconciliation and Deployment Configuration
  7. Orchestration Manager
  8. Admission Control and Resource monitoring
  9. Domain Manager
  10. Network Manager
  11. Implementation
  12. Orchestration and Domain Management
  13. Network Management
  14. Monitoring
  15. Conclusion

Figures (3)

  • Figure 1: Functional block diagram of CAMINO showing service orchestration (blue), monitoring (orange) and network management (green) elements.
  • Figure 2: Example deployment of a network function chain based on Listing \ref{['lst:deploy']}, and the order of deployment (in red), between two administrative domains.
  • Figure 3: Service Mesh deployment (as in Listing \ref{['lst:deploy']}) of a network function chain placed between two different administrative domains.