We move the power of computing closer to the Edge,
improving customer experience

Multi-access Edge Computing


Multi-access edge computing (MEC) is a technology that brings compute, storage, and network resources closer to the edge of the network, where the data is being generated and consumed. This feature offers several advantages: Reduced Latency, which is a critical aspect for real-time applications, Bandwidth optimization involves data offloading, which reduces the amount of data transmitted over the network and enhances the security and privacy.

Finally, instead of relying solely on centralized cloud or data center infrastructure, MEC enables a distributed computing model, allowing enterprises to improve scalability.


Multi-access edge computing is based on the concept of significantly increasing the computational performance of the network, reducing latencies, i.e. reducing the timing between the data request, its processing and reception.
NET Reply offers solutions based on the most modern technologies in the network world, with the aim of targeting the evolution of legacy systems in an efficient and precise manner.

Our goal is to develop and improve competences in the MEC field to support all companies wishing to improve the efficiency and response times of their applications.


NET Reply uses its Telco expertise to meet the needs of businesses,
giving them the opportunity to evolve their network without overshadowing their real needs

Click on each box to discover some Use Cases

The Internet of Things (IoT) is the networking paradigm made up of intelligent physical objects that possess the ability to exchange data with other devices and systems on the Internet. The data generated and communicated by these objects, such as devices, equipment, sensors in general, can therefore be collected, analyzed, and used for the creation of application contexts in various fields: smart homes, smart grids, smart cities, Industrial IoT are born. The MEC applied to the IoT represents the evolution of the IoT! Thanks to the computational offloading, companies will be able to process data closer than ever to the connected "things", with consequent higher bandwidth, lower cost, higher security, due to the reduction of traffic passing through the infrastructure, and above all lower latency, due to the proximity between the data collection point and the data processing point.

Autonomous vehicles represent the future of the automotive industry and MEC plays a key role in making this vision a reality! One of the most significant challenges for autonomous vehicles is the need to make quick and informed decisions on the road while protecting passengers and other individuals. With the MEC, data collection and processing take place directly on board the vehicle, with extremely low latency and energy consumption! Vehicles can access and process update information such as GPS data, traffic information, weather conditions, road map, and based on this trigger reactive and informed decisions. The MEC brings several advantages and functions: it makes autonomous driving safer, increases energy efficiency and opens the door to the possibility of coordinated and efficient vehicular communication.

The MEC applied to the entertainment field radically transforms the use of games, video streaming, online content and augmented and virtual reality (AV/AR) experiences. These technologies require high processing power and speed, and a stable connection for a smooth, high-definition result, without delays or interruptions, even on low-energy devices, such as smartphones or tablets. Thanks to the MEC it is possible!
Data storage and management moves to the edge nodes near the end user, significantly reducing buffering, decreasing latency and increasing bandwidth. Furthermore, the presence of edge servers allows for greater efficiency in the processing and analysis of user data, opening opportunities for the integration of AI for the personalization of content and the creation of tailor-made experiences.

Thanks to E-health, the possibility of being able to use tools and services for remote assistance, disease prevention and continuity of care is becoming increasingly feasible.
We are talking about Televisitation services, the use of robots in hospitals for patient assistance, Remote Surgery, Telemonitoring, and the collection and Analysis of medical data for the discovery of pathologies and diseases in a timely manner. These are services to allow continuity of assistance to the patient even remotely which require very high performance requirements in terms of minimum latency times (<1ms for remote surgery i.e.). MEC technology becomes one of the key tools for achieving all of this. Low latency, the ability to collect and process huge amounts of data in minimal times, are the key to real-time remote assistance.

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