The emergence of beyond 5G and 6G networks is set to revolutionise telecommunications, addressing the demands of emerging applications through advanced capabilities. At the core of this transformation lies next-generation intelligent service orchestration, which is essential for meeting future Key Performance Indicators (KPIs) and Key Value Indicators (KVIs) such as ultra-low latency, efficient power consumption and resource utilisation. These capabilities enable multi-objective, seamless endto-end service delivery across complex, distributed environments. Cloud-native technologies, underpinned by microservices architectures, will play a pivotal role but also introduce challenges in orchestrating resources efficiently across heterogeneous domains. To address these challenges, this paper proposes a Federated Intelligent multi-objective Service function chain Orchestration (FISO) solution that integrates multi-objective federated profiling to preserve privacy while ensuring efficient end-to-end service delivery. FISO predicts optimal computing and network resources for Service Function Chains (SFCs), enabling the selection of appropriate edge locations, efficient resource allocation, SFC placement, and lifecycle management. Experimental results, demonstrated over a pragmatic testbed, validate FISO's effectiveness in placing requested SFCs efficiently within an administrative domain, predicting optimal CPU, memory, and link capacity resources, and minimising end-to-end latency and energy consumption.

The emergence of 6G networks promises to revolutionise telecommunications by incorporating end-to-end intelligence for improved performance, driven by new radio and other access technologies. On the other hand, optical technologies are crucial for enabling long-distance integration among various domains and network technologies. This integration is vital for future networks to meet Key Performance Indicators (KPIs) like bitrate and latency, and Key Value Indicators (KVIs) such as reliability and privacy. The envisioned end-to-end intelligence can drive optical networks to consistently provide highquality connectivity and handle dynamic computing and network demands in 6G. This paper explores end-to-end intelligence within 6G networks, emphasising its potential to optimise service delivery. We envision a 6G-ready architecture for delivering end-to-end services across multiple domains interconnected by optical technologies. This architecture uses Artificial Intelligence and Machine Learning to support lifecycle management of infrastructures and network services. It includes an Intelligent Optical Cross-Domain Orchestrator and Optical Controllers at the Transport and Metro domains, as well as Intra-Domain and Cross-Domain Service Orchestration, efficiently allocating optimum resources to services ensuring robust and seamless performance in future networks.