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Load-Aware Dynamic Traffic Migration Enabling Low Latency in Hierarchical Edge Cloud-Based 5G Fronthaul

机译:负载感知的动态流量迁移可在基于分层边缘云的5G前传中实现低延迟

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We present a load-aware-based dynamic traffic migration strategy for achieving low latency in hierarchical edge cloud-based 5G optical fronthaul network. The experimental results demonstrate the proposed strategies achieve a five-fold delay reduction and release 22.7% burden of fronthaul bandwidth.
机译:我们提出了一种基于负载感知的动态流量迁移策略,以在基于分层边缘云的5G光纤前传网络中实现低延迟。实验结果表明,所提出的策略可将延迟减少五倍,并释放22.7%的前传带宽负担。

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