Multi-Contact Edge Computing


As the technology has changed and expanded to keep up with market needs, you can see the mobile computing margins accessible to multi-bank computing (MEC) as a changing platform. This change was needed to increase the benefits of cutting edge communications technology to include landline and WiFi.

ETSI Multiple-Access Edge Computing (MEC) defines as a cloud-based IT service environment on the edge of a network. It fulfills all requirements by offering low, high-width, and allowing applications to use information from the wireless network in real-time

MEC provides new ecosystems and a new value chain. Overcrowding operators can open up their companies and so quickly, they can provide flexible and flexible applications and services for mobile network subscribers, companies and industries.

Now, MEC is part of the process without an instrument issue, just like in virtual technology. Our goal is to develop APIs that can used for virtual network functions (VNF) that respond to all mobile network communication requirements, including security, orchestration, and portable vendor execution. .

The ultimate MEC

is a network infrastructure optimized with low speed and agility that can scale vertically or vertically as needed. With MEC, we can bring services and content closer to end users and achieve more QoE and QoS, while optimizing gateway congestion and decreasing links costs.

Real Time – Lowest fine to end to end to end to end to end to end to end application latency robust.

Caching and video analysis: real-time information of data acquisition in time, minimal width for entry to the cloud.

Private – Local communication with private wallets for presentation, isolation and safety.

Interactive: Full transaction rate between the device and local cloud.

A quick introduction to distributed network and other dynamic functions in the RAN filter.

Compatible with IoT and M2M requests.

Application virtualization and coordination between Cloud and Edge.


Business applications include investment, tracking, surveillance and analysis, voice and location visitors devices. If the company wants to provide a direct RAN connection for security reasons, Edge extends its unique function to execute these processes. Moreover, the vCPE combo utility provides the best opportunity for implementing traffic between branches and other business services. Data protection can also managed through a third party application, for example. B. A medical certificate that anonymizes personal health information (PHI) and stores it in the cloud.

Real Time: Many and many applications run in real time and have tens of thousands of hidden images. Applications are also sensitive to web settings (variations in latency). AR/VR-car-network, tactile internet, Industry 4.0 and other tricky situations that included in the real time segment.

Immersive: Now available, MEC for UE/CPE creates a wide range of new immersive applications. Premium HD, 360° and 4K videos stored and optimized for Edge Computing. Net-level metrics (delay, round-trip, packet loss, etc.) can be improved by 30-60%. We offer multimedia content, where fixed transcoding can help with fixed caching.

Cost reduction: video surveillance, face recognition, vehicle license plate identification, IoT gateway, monitoring and analysis. For example, it is valuable to send video directly from your camera to the cloud. In such a case, edge exposure and threat detection can move and only send records to the cloud. For example, in an IoT gateway where the available breadth is not high, sending billions of items into the cloud will invaluable and ineffective when compared with edge IoT negotiation.

Standalone – Some of the best applications for cruise, plane, mine, packs and WiFi loaded on parchment. If cloud connectivity is available, data can supplied from these sites, e.g. B. with planes or crews.


In places where Edge can offer local services like stadiums, players, concerts, universities or other unpopular buildings, viewers can take the same action from different perspectives based on individual preferences. for example, the app can run audiences to watch the game from multiple angles and at the same time, offers a broad stream of high-resolution personalized content. In like manner it is impossible in a cloud.

As a retail segment, Edge, among others, can offer footprint analysis at traditions and shopping centers.

IoT applications are defined in two categories;

Massive IoT connectivity where MEC optimizes device connectivity to the core to reduce network overhead and improve communication and response time.

High quality applications where low privacy required. This includes power switching grids and other power supplies and fault detection applications.

Critical Communication: This category contains various applications in different sectors, such as traffic safety and control system, precision agriculture with real vehicles and analytics, industrial monitor and procedure applications, applications for car warnings, and independent entertainment assistants. To do this, health insurance applications will require a high level of education.

Google Analytics – Edge Computing technology collects a large amount of information from all the bags and links that  valuable for machine learning, automation, and large-scale data applications.

Compliance: Compliance questions range from library to local information. But time to develop the pain itself. In these circumstances, audiences do not have the right to drop video programs on the internet or mobile. App features help in case of disabling a channel or pressing a solution to a serious complaint.

Security: Edge-billed applications like DDOS and cyber security can prevent these types of attacks and bring them closer to the security realm.

NFV: Network Function Virtualization (NFV) is not a simple peripheral application. But Virtual Access Networking (VNF) functions like vRAN, C-RAN, vCMTS, and vOLT must run in the same location and edge computing.


Standard Protocol: Like newer technology, MEC has developed a variety of performance levels. The requirements based on collaboration between industry and researchers on a common platform.

Efficient performance – Practical execution reduces MEC latency for the best applications. However, it is difficult to optimize the use of spectral components in a complex system.

Mobility and Opening – Providing non-stop services to clients across the continent is a significant challenge in the MEC environment with clear migration and platform heterogeneity.

Availability and security: The constant availability of services and resources depends mainly on service capacity and specific wireless access and physical measures.

Data Management – Data management functions include data management, data processing and testing, oral analytics, data aggregation or abstract metadata.

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