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What is multi-access edge computing?

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Multi-access edge computing (MEC) is a type of network architecture that provides cloud computing capabilities and an IT service environment at the edge of the network. The goal of MEC is to reduce latency, ensure highly efficient network operation and service delivery, and improve the customer experience.

The term mobile edge computing refers to an earlier, more narrow definition of multi-access edge computing, and the terms are sometimes used interchangeably. 

Multi-access edge computing is now more broadly defined as an evolution in cloud computing that uses mobility, cloud technologies, and edge computing to move application hosts away from a centralized datacenter to the edge of the network, which results in applications that are closer to end users and computing services that are closer to the data created by applications. 

Technical and architectural standards for multi-access edge computing have mainly been developed by the European Telecommunications Standards Institute (ETSI).

Edge computing is computing that takes place at or near the physical location of either the user or the source of the data.

MEC is an edge computing use case for service providers. As service providers move away from physical appliances and towards a service-based architecture the result is a decoupling that allows for a broader spectrum for where mobility workloads can run. When a mobility workload is placed further out in an environment, such as at the base station or access layer, and paired with the user-initiated workload the resulting computing transaction is closer to the user than has been previously possible.

Many service providers are moving workloads and services out of the core network (in datacenters) toward the network’s edge, to points of presence and central offices. When a service provider moves mobile workloads closer to the end user, to increase throughput and reduce latency, the result is multi-access edge computing.

For example, when a 4G connected device attaches to a service provider's mobile network, most of the mobile applications or, “the core,” are centrally located in large mobile datacenters further away from the end user. Multi-access edge computing is what allows a service provider to move mobile workloads closer to the user. 

Applications perform better and processing tasks happen more quickly when they are able to run close to where they are being used. The multi-access edge computing environment enables ultra-low latency and high bandwidth, along with data and radio network information that can be used by applications in real-time. 

Radio access networks (RAN) are crucial connection points between end user devices and the rest of an operator's network. RAN connects end user devices to services enabled by the operator, such as voice, data, and over the top (OTT) services like video streaming or telemedicine that generate revenue for the service provider. 

MEC makes RAN accessible to authorized application developers and content providers, which allows them to use edge computing at the application level, as well as at the lower level of network functions and information processing.

5G can be considered a use case for edge computing, and it also enables other edge use cases.

As part of 5G deployment, service providers will need to virtualize network functions, which will simplify network operations and improve flexibility and availability, allowing them to create new services and capabilities. MEC is a way to meet the performance and latency requirements of 5G networks and improve the customer experience.

MEC and 5G can work together to deliver new applications and services. An MEC platform is where value-added services or “smart” applications delivered over 5G are run. For example, the MEC platform is where an AI/ML application would be deployed. 

The Red Hat portfolio of edge products brings the familiarity of our enterprise open source platforms out of your datacenter to the devices at the edges of your network.

Red Hat® Enterprise Linux® is an operating system that’s consistent and flexible enough to run enterprise workloads in your datacenter and make low-latency decisions on edge devices. It puts a consistent layer on inconsistent edge environments, helping you adapt to the challenges of deploying edge devices in harsh operating conditions all over the world.

Red Hat OpenShift is a development platform with features to meet the limited space and power requirements of edge sites, and advanced cluster management tools that can manage every deployment—no matter where it is—with a single, consistent view that simplifies scaled-out edge architectures.

Keep reading


What is edge computing?

Edge computing is computing that takes place at or near the physical location of either the user or the source of the data. By placing computing services closer to these locations, users benefit from faster, more reliable services.


What is 5G?

5G refers to the fifth generation of mobile networks, representing upgrades in bandwidth and latency that enable services that weren’t possible under older networks. 5G service also vastly reduces latency and can expand coverage to remote areas. 


Why IoT and edge computing need to work together

IoT produces a large amount of data that needs to be processed and analyzed so it can be used. Edge computing moves computing services closer to the end user or the source of the data, such as an IoT device. 

Get started with edge computing solutions

Enterprise software optimized for lightweight deployment on all kinds of hardware, letting you put the right amount of computing power in the right place.

Red Hat Enterprise Linux

The foundation from which you can scale existing apps—and roll out emerging technologies—across bare-metal, edge, container, and all types of cloud environments.

Red Hat OpenShift

An enterprise-ready Kubernetes container platform with full-stack automated operations to manage hybrid cloud and multicloud deployments.

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