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

2025-04-04

AI Summary

To address scalability limitations, weak declarative capabilities, and challenges in zero-touch deployment for service management and orchestration in distributed cloud-native telecom environments, this paper proposes an autonomous framework integrating Configuration-as-Data (CaD) with intent-driven orchestration. The framework employs a modular cloud-native architecture, real-time resource awareness, an intent parsing engine, and integrated observability to enable end-to-end automation—from high-level business intents to distributed configuration—and full-lifecycle autonomy of network functions. Evaluated in realistic telecom deployments, it supports elastic scaling of over one thousand network function instances, improves resource utilization by 32%, reduces cross-edge service deployment latency by 47%, and achieves, for the first time, zero-touch service provisioning at scale in distributed edge environments.

Technology Category

• Planning, Routing, and Scheduling: Plan Execution and Monitoring
• Constraint Satisfaction and Optimization: Distributed CSP/Optimization
• Search and Optimization: Distributed Search

Application Category

• Systems and Infrastructure for Web, Mobile and WoT: Cloud, edge and content delivery systems for the Web
• Economics, Online Markets and Human Computation: Incentives in network design for Web infrastructures and ecosystems
• Responsible Web: Consent frameworks and practices on the web

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.

Problem

• Address scalable cloud-native service management challenges
• Enable zero-touch provisioning in multi-edge infrastructure
• Automate lifecycle management of network functions

Innovation

• Cloud-native autonomous management with intent-based orchestration
• Modular architecture using Configuration-as-Data paradigm
• Real-time monitoring for zero-touch multi-edge provisioning