Future Open Networks Cross-Domain Cognitive Orchestration: A Novel Design Paradigm
Future Open Networks (FONs) are envisioned as large-scale, decentralised, and data-driven systems designed with open interfaces and interoperable standards to deliver diverse services and applications. The management and orchestration of these networks will utilise intelligent processing. This paper introduces a novel Cognitive Cross-Domain Orchestration (CDO) architectural framework for FONs, structured through a quad-architecture view. It begins with a survey of relevant projects, followed by a requirements analysis for FON orchestration and management. The CDO architectural framework consists of four distinct views: the Organizational View identifies stakeholders and business entities; the Functional View outlines the logical design; the Cognitive & AI/ML View connects logical functions with supportive cognitive functions for network optimization; and the System-level View links these functions to the necessary physical and intangible assets. This segregation allows for focused analysis of each type’s role, interactions, and properties, thereby promoting coherent design. The paper also describe a plausible partial proof-of-concept implementation of the CDO System-level architecture. Within the context of this CDO implementation, including how stakeholders would participate in providing an end-to-end service delivery orchestrated across multiple network domains.
Authors
- Shah Zeb (ORCID: https://orcid.org/0000-0001-6797-9506)
- N. Butler (ORCID: https://orcid.org/0000-0002-9110-6673)
- Darryl Hond
- Dimitra Simeonidou (ORCID: https://orcid.org/0000-0002-7046-544X)
- Κωνσταντίνος Αντωνάκογλου (ORCID: https://orcid.org/0000-0002-2703-8864)
- S.K.B. Ghosh (ORCID: https://orcid.org/0009-0003-0835-0902)
- Ioannis Mavromatis (ORCID: https://orcid.org/0000-0002-3309-132X)
- Shadi Moazzeni (ORCID: https://orcid.org/0000-0002-2149-0235)
- Gabriele Incorvaia
- Rasheed Hussain (ORCID: https://orcid.org/0000-0002-3771-7537)
- Hamid Asgari (ORCID: https://orcid.org/0000-0002-9317-7045)
- Konstantinos Katsaros (ORCID: https://orcid.org/0000-0001-5372-7201)
- David Tee
Institutions
- Thales (Australia) (AU)
- University of Bristol (GB)
- Thales (United Kingdom) (GB)
- Digital Catapult (GB)
- Digital Catapult (United Kingdom) (GB)
Publication Details
- Journal
- IEEE Access
- Published
- 2025-01-01
- DOI
- https://doi.org/10.1109/access.2025.3580176
- Citations
- 4
- Primary Topic
- Robotics and Automated Systems
- Type
- article
- Field-Weighted Citation Impact
- 4.86