End To End Service Orchestration across Cloud Edge and RAN
DOI:
https://doi.org/10.63282/3050-9262.IJAIDSML-V2I3P109Keywords:
Service Orchestration, Cloud, Edge Computing, RAN, 5G, Automation, NFV, O-RANAbstract
The rapid evolution of 5G networks has increased the demand for intelligent, automated, and scalable service orchestration across heterogeneous environments, including cloud, edge, and Radio Access Networks (RAN). Traditional orchestration frameworks initially designed for centralized cloud and virtualized network functions struggle to meet the ultra-low-latency, high-bandwidth, and dynamic workload requirements of modern distributed systems (ETSI, 2020). As mobile networks shift toward cloud-native and disaggregated architectures such as Multi-access Edge Computing (MEC) and Open RAN, the need for unified end-to-end orchestration becomes more critical (Alliance for Telecommunications Industry Solutions [ATIS], 2021). Existing solutions like ETSI NFV MANO and ONAP provide partial orchestration capabilities but lack seamless cross-domain coordination, leading to performance bottlenecks and operational complexity (Parvez et al., 2018). This research examines the challenges, architectural requirements, and integration strategies for achieving comprehensive service orchestration across cloud, edge, and RAN domains. The study proposes an integrated framework leveraging intent-based networking and AI-driven automation to enable dynamic service placement, multi-domain optimization, and real-time control. Findings contribute to advancing end-to-end automation principles essential for scalable 5G and future 6G deployments
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