MEC-Native 5G Systems: Orchestration Algorithms for Ultra-Low Latency Cloud-Edge Integration
Keywords:
Multi-access Edge Computing (MEC) · 5G Networks · Cloud-Edge Orchestration · Network Slicing · Ultra-Low Latency · Edge Intelligence · Resource AllocationAbstract
Convergence between Multi-access Edge Computing (MEC) and cloud-native 5G systems pioneered new complementary dimensions for ultra-low latency and high reliability for future network services. However, increasing levels of resource distribution across cloud and edge domains began posing new challenges to dynamic orchestration, inter-working, and latency management. The paper proposes a MEC-Native Orchestration Framework integrating edge intelligence with cloud-based control to provide smooth service provisioning and resource optimization over heterogeneous 5G environments. The proposed architecture features adaptive orchestration algorithms that dynamically allocate computational and network resources within cloud and edge layers depending on service requirements, user mobility, and QoS constraints. Using containerized network functions combined with Kubernetes-based orchestration and network slicing, the system can guarantee deterministic latency and scalability for latency-critical applications such as autonomous driving, remote healthcare, and industrial automation. Experimental evaluations show that the proposed framework effectively performs in reducing end-to-end latency by 35–45 percent over static MEC deployment approaches while sustaining high throughput and service continuity during edge-cloud handovers. These reveal the efficiency of MEC-native orchestration in providing ultra-reliable low-latency communication and lay a foundation for intelligent cloud-edge integration in 5G and beyond.Downloads
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