Edge computing is key

for enabling 5G and IoT enterprise services

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Edge computing - a must for 5G success

With the huge interest in digitalization across all industry verticals - 5G is a key technology. Edge computing or Mobile Edge Computing, is a crucial part of the 5G platform and provides a first-mover advantage for communication service providers in grabbing new business opportunities.

Edge computing

What is Edge Computing?

Edge computing in telecom, often referred to as Mobile Edge Computing, MEC, or Multi-Access Edge Computing, provides execution resources (compute and storage) for applications with networking close to the end users, typically within or at the boundary of operator networks.

Edge computing can also be placed at enterprise premises, for example inside factory buildings, in homes and vehicles, including trains, planes and private cars. The edge infrastructure can be managed or hosted by communication service providers or other types of service providers. Several use cases require various applications to deployed at different sites. In such scenarios a distributed cloud is useful which can be seen as an execution environment for applications over multiple sites, including connectivity managed as one solution.

The main benefits edge solutions provide include low latency, high bandwidth, device processing and data offload as well as trusted computing and storage.

The role of Edge in 5G

By 2023, 5G will make up around one-fifth of all mobile data traffic, where 25% of the use-cases will depend on edge computing capabilities.

The majority of the new 5G revenue potential is expected to come from enterprise & IoT services, of which many will rely on edge computing.

For consumers, new virtual reality (VR) and gaming applications will leverage the improved user experience that edge computing can enable. Therefore edge capabilities will be a fundamental technology as part of a 5G infrastructure for any service provider.

What is your Edge computing and deployment strategy?

Read our new white paper that describes edge computing from communication service provider (CSP) perspective - how a solution is built up including distributed cloud infrastructure, the key industry challenges and how CSPs can choose different roles and deployment strategies when addressing opportunities.

Depending on the market position you have and type of use case provided, this WP gives guidance on how to choose an optimal model or a combination of models that suit your needs.

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Implementing Edge Computing

Whitepaper: Edge computing and 5G

With increasing interest in new use cases like smart manufacturing and AR/VR, as well as upcoming 5G radio networks, there is a clear need for distributed networks. Download our paper on Edge Computing and 5G to learn more.

Paper: Future of Cloud Computing

The future of cloud computing is being shaped by the combination of the growing popularity of distributed solutions and increased reliance on heterogeneous hardware capabilities. Network operators, who have large, distributed systems already in place, have a golden opportunity to become major cloud players.

Industrial edge computing for automotive industry

Use case: Automotive industry

There are several use cases related to edge computing. As an example - the automotive industry with connected vehicles is an industry demanding edge computing.

Webinar: Why is edge important for CSPs?

We can no longer stay in the large data centers if we are to achieve the goals of 5G where 25% of the use cases will depend on an edge infrastructure. The need to reduce latency will mean that also compute resources needs to be located towards the edge and the deep edge.

Take a deep dive into edge computing architecture

Edge computing architecture

The edge computing architecture is not one fixed point in the network topology. In order to build an edge computing solution, communication service providers (CSP) have to address several layers in the cloud stack – distributed cloud infrastructure, networking and connectivity, application and runtime execution environment and orchestration. This architecture enables CSPs to host telco and non-telco workloads and open up the network as a distributed cloud resource.

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Top 5 pitfalls service providers must avoid

Edge computing is a key component of any 5G and IoT strategy and holds significant promise for service providers as a new business opportunity.

This SDx Central research brief, sponsored by Ericsson, aims to provide insights into the most common pitfalls in building out the edge and provides recommendations on how to maximize success at the edge for operators.

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Creating the next-generation edge-cloud ecosystem

This Ericsson Technology Review article explores the topic of how to deliver distributed edge computing solutions that can host different kinds of platforms and applications and provide a high level of flexibility for application developers. Rather than building a new application ecosystem and platform, we strongly recommend reusing industrialized and proven capabilities, utilizing the momentum created with Cloud Native Computing Foundation, and ensuring backward compatibility.

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