The Increasing Importance of Multi-Access Edge Computing

by Mansoor Ahmad SEO Expert

Multi-Access Edge Computing, commonly known as MEC, can move the computing of traffic and services from a centralized cloud to the edge of the network as well as closer to the customer. Rather than sending data to a cloud for processing, the network edge can be used to analyze, process, and store the data. Gathering and processing data closer to the customer can eliminate latency as well as bring real-time performance to high-bandwidth applications.

Characteristics of Multi-Access Edge Computing

•         Proximity
•         High bandwidth
•         Virtualization
•         Ultra-low latency

Multi-Access Edge Computing or MEC specializes in providing cloud-computing capabilities and an Information Technology service environment at the edge of the network. You can implement MEC with data centers that distribute at the edge. Applications need high bandwidth and low latency environment. To accomplish that, service providers create distributed data centers or distributed clouds. The platform of Multi-Access Edge Computing enables distributed edge computing by processing content at the edge using a server o a CPE.

A software-defined access layer can be used as an extension of a distributed cloud. Most of the edge computing initiatives can be developed using open-source hardware as well as software that leverage cloud and virtualization paradigms, such as SDN and NFV.

Key Drives

Key drives include the Internet of Things, 4G networks and next-generation 5G networks. Exponential growth in traffic and the explosion of connected devices allow the network infrastructure to scale effectively and deliver higher volumes of data. MEC offers flexibility as well as agility of the cloud closer to the customer to meet these needs and requirements.

Edge access networks evolve to include converged residential, business, and mobile networks as well as virtualization. With Multi-Access Edge Computing, service providers can monetize their network by providing new innovative applications as well as services that require low latency for their customers.

Uses of Multi-Access Edge Computing

Let’s check out some uses of Multi-Access Edge Computing

•          Data and video analytics
•          Internet of Things
•          Location tracking services·        
•      Augmented Reality
•          Local Hosting of Content, including Videos

An Internet of Things example connects car constantly sensing driving patterns, condition of the roads, and the other vehicle movements that provide safety guidance to the driver. Most of the predictive, as well as prescriptive insights need to be provided on time. Hence, sensor data required to be collected, processed and analyzed at the edge in order to provide low latency insights to the driver.  

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Created on Aug 31st 2020 22:45. Viewed 218 times.

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