Enabling Ultra-low Latency 5G Applications

As we can foresee, the upcoming 5G mobile network will initiate a variety of related applications for connected technologies, including autonomous driving, AR/VR, video streaming, network security and high bandwidth connectivity. To fully realize the potential of these technologies, there are still technological bottlenecks, particularly latency, to be overcome. In today’s cloud computing architecture, the data generated from mobile users has to travel a long footprint to the cloud for processing, analytics and storage. In the case when a large number of users are generating data, latency will occur causing delays that impact user experience. To optimize the performance, edge data center appears to be the optimal solution. By deploying edge data center, the edge will function like a local cloud to execute data processing, analytics and storage for users, and this will minimize the data footprint and thus reduce the latency. User experience will be improved, as well as performance and reliability.

Lanner provides a wide range of network appliances designed to work as a uCPE, MEC server and hyper converged infrastructure (HCI) platforms deployed at edge as a localized data center, which minimizes latency, shortens the data transfer tunnel, enhances the traffic management and empowers the bandwidth for next-gen 5G applications.

Requirement for Servers at Edge Data Center

  • Optimized

    High Core Counts
    DPDK Packet Acceleration
    Crypto Acceleration

  • High Speed

    10/25/40/100GbE Copper/SFP
    High Speed Switching
    Scalable F.A.S.T NIC Module

  • High Availability &

    Wide Temperature (-40~70)
    Redundant Power/Fans
    Advanced LAN Bypass

  • Built-in Security and

    BIOS Security
    IPMI Remote Management
    TPM 1.2/2.0 Root of Trust


Ultra-Low Latency Video Transport and AR at Customer Premise

Use Lanner MEC server deployed at the edge to boost CDN (Content Delivery Network) efficiency and provide the ultra-low latency infrastructure of 5G networks. Optimize critical cloud workloads by enabling robust, high-performance video transcoding and analytics while reducing the latency for immersive media enhancement, targeting at AR/VR applications.

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