Our previous blog post talks about how Edge computing will evolve in the context of the 5G revolution and discusses its applications across industries. In this blog, we will explore the Multi-access Edge Computing (MEC) framework and its primary components.
But before we do the heavy lifting on MEC, let’s understand the basics.
MEC moves the computing of traffic and services from a centralized cloud to the edge of the network and closer to the customer. Instead of sending all the data to a cloud for processing, the network edge analyzes, processes, and stores it. Collecting and processing data closer to the customer reduces latency and brings real-time performance to high-bandwidth applications.
MEC characteristics include:
MEC also offers cloud-computing capabilities and an IT service environment at the edge of the network. One typically implements MEC with data centers distributed at the edge, where applications require high bandwidth and a low latency environment. To achieve that, service providers create distributed data centers or distributed clouds. The resources that make up a cloud can reside anywhere—from a centralized data center to a cell site, a central office, an aggregation site, a metro data center, or the customer premises. The MEC platform enables distributed edge computing by processing content at the edge using either a server or a CPE.
A software-defined access layer can also be an extension of a distributed cloud. Most edge computing initiatives use open-source hardware and software that leverage cloud and virtualization paradigms, including SDN and NFV.
Telco edge computing refers to distributed computing, managed by the CSP, extending beyond the network edge and onto the customer edge. Customers can run low latency applications and cache or process data close to the data source to reduce backhaul traffic volumes and costs.
Telco edge cloud incorporates the benefits of cloud and local computing, and ‘local’ can be on-device or on-premises. As a result, customers can run low latency applications and cache or process data close to the data source. Doing this also reduces backhaul traffic volumes and costs.
There are multiple potential locations for telco edge computing on and off the public network. These include customer premises, cell towers, street cabinets, and network aggregation points in the access and core network.
The decision for where to incorporate edge compute infrastructure for a telco depends on three factors:
For example, cell towers are close to the customer edge and cover a wider area than street cabinets. These would suit low latency communication for autonomous vehicles – allowing real-time responses for the cars based on the current environment and happenings further up the road.
ETSI coined the MEC framework to standardize MEC deployment in a 3GPP compliant CSP ecosystem. The key USPs of this framework are represented below.
MEC enables the implementation of MEC applications as software-only entities that run on top of a virtualization infrastructure located in or close to the network edge. The MEC framework shows the general entities involved.
These entities can be broken into system level, host level and network-level entities. The figure illustrates the framework for Multi-access Edge Computing consisting of the following entities:
The key functionalities of these applications are:
The rules and requirements are validated by mobile edge system-level management
MEC Orchestrator maintains an overall view of the system and mobile edge hosts, available resources, available services and topology and on-boards application packages, including:
MEC Orchestrator triggers application instantiation and termination and optionally triggers application relocation.
The functions of the MEC platform Manager include:
At Quantiphi, we build our solutions leveraging this framework and create our containerized applications as microservices in the MEC application layer. We use multiple cloud management platforms from hyper scalars for managing multi-cloud ecosystems, which act as MEC orchestrator and MEC platform manager. Our solutions leverage the 5G MEC ecosystem to create seamless experiences for our partners, the communication service providers, and the enterprises. We build horizontal applications across industries with our intelligent video analytics and edge AI solutions.
Get in touch with our experts to explore our MEC capabilities.