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Virtualized Networking Software

Multi-Access Edge Computing (MEC)

Bringing Compute Power Closer to the Edge with Multi-Access Edge Computing (MEC)

Multi-Access Edge Computing (MEC)

Multi-Access Edge Computing (MEC) moves compute, storage, and networking resources closer to the end-user, optimizing network efficiency, reducing workloads on core data centers, and enabling real-time data processing for modern applications.

MEC

As demand for ultra-low latency grows, operators are adopting edge-centric network architectures.

Edge Computing (MEC) places computing closer to users, reducing core data center workloads and enabling real-time data processing. Despite limitations like patchy 5G coverage and power constraints, telco-controlled MEC is valuable in applications such as smart cities, industrial IoT, and real-time AI. 6WIND’s MEC solution tackles challenges with high-performance, low-latency virtualized network functions. By shifting traffic and services to the edge, it offers a flexible, scalable, cost-effective approach for modern applications with improved performance, lower latency, and robust edge connectivity.

Key Challenges

Meeting the Demands of Modern Edge Computing Networks

Latency Sensitivity

Applications like autonomous vehicles, AR/VR, and IoT demand real-time data processing with ultra-low latency. MEC minimizes response times by bringing processing closer to the source, enhancing service quality for latency-sensitive applications.

Scalability and Flexibility

With the proliferation of connected devices, MEC infrastructures must scale dynamically. 6WIND’s solution ensures scalability without complex hardware upgrades.

Space, Power & Cooling Efficiency

Edge environments often lack sufficient space, power, and cooling capacity for multiple hardware devices. 6WIND integrates virtualized network functions to reduce physical footprint while maintaining high performance and efficiency.

Edge Interconnect & Multi-Network Access

Many applications require connectivity across diverse networks, necessitating strong interconnectivity in addition to edge computing. 6WIND’s MEC solution seamlessly integrates with various networks and cloud environments, ensuring consistent performance for multi-network applications.

Optimizing Performance, Reducing Costs, and Unlocking New Opportunities

Overcome these challenges with 6WIND

Reduced Network Congestion

MEC processes data at the edge, minimizing network traffic and congestion while improving overall performance. This efficient resource management enhances service quality for operators.

Cost Savings & Efficiency

6WIND’s software-based solution minimizes reliance on costly proprietary hardware and reduces network connectivity expenses by handling traffic at the edge. It also lightens the load on centralized data centers, resulting in substantial cost savings and operational efficiencies.

Improved Application Availability

Processing data closer to users mitigates risks of downtime due to network issues, ensuring high application availability even during peak demand periods.

Disaggregated Hardware & Software

6WIND’s MEC solution employs disaggregated hardware and software architectures, distributing network functions across multiple edge locations. This approach boosts flexibility, scalability, and resilience while reducing costs by utilizing off-the-shelf hardware.

New Services & Revenue Streams

MEC enables service providers to introduce innovative edge-based services like real-time analytics, machine learning, and IoT solutions. These offerings create new revenue opportunities and enhance customer satisfaction.

6WIND’s Product suite

Software-Defined, Cloud-Native, and Telco Cloud Compatible

6WIND’s MEC solution utilizes a software-based architecture to deploy virtualized network functions (VNFs) on commercial off-the-shelf (COTS) hardware, including bare metal, VNF, and CNF configurations. It seamlessly integrates with Telco Cloud infrastructure and cloud-native environments like Kubernetes, Red Hat OpenShift, and Wind River, offering operators the flexibility to optimize traffic processing closer to the customer for improved real-time performance.

6WIND User Plane Function (UPF) is designed to facilitate seamless and high-performance data transmission between devices and the network.

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Tailored Professional Services, including consultation, design, deployment, and support, to ensure seamless implementation and ROI.

Experts guide your team, providing training for confident network management. 6WIND’s robust ecosystem of hardware and software vendors ensures compatibility with top-quality COTS servers and components for flexible, optimized performance. Additionally, a global network of partners provides localized support, helping you meet your Mobile Network Security goals with resources and assistance tailored to your needs, ensuring effective and efficient outcomes.

Some Use Cases

Enabling Next-Generation Applications with Multi-Access Edge Computing

Autonomous Vehicles

6WIND’s MEC solution enables real-time data processing for vehicle-to-vehicle communication, navigation, and obstacle detection, ensuring fast and accurate responses for autonomous driving.

Augmented & Virtual Reality (AR/VR)

AR/VR applications depend on high-bandwidth, low-latency networks to deliver immersive experiences. 6WIND’s MEC solution processes data at the edge, ensuring smooth, responsive performance and enhancing user experiences.

Smart Cities

MEC enables real-time processing for smart city applications, including traffic management, public safety, and other data-intensive services. 6WIND’s solution helps cities deploy edge infrastructures that support improved efficiency and faster response times.

IoT Devices

With the proliferation of IoT devices, MEC is essential for efficient, real-time data processing at the edge. 6WIND’s solution ensures IoT applications can process data close to the source, reducing latency and enabling faster, more responsive operations.

Real-Time Analytics with Lower Latency

MEC enables real-time processing and analysis of data at the edge, which is essential for applications such as IoT and machine learning. By processing data closer to the source, operators can respond to events in real-time, optimizing operations and improving decision-making.

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Resources

Documentation

Virtual Service Router

Use Case

Move the traffic & service processing to the edge

Datasheet

Virtual Service Router

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