Expand your business by supporting applications at the network edge
The ability to locate performance-sensitive applications and network function very close to the subscribers is critical to success as operators seek to offer massive broadband and ultra-low latency services. Edge cloud solution delivers ultra-responsive service experiences by rapidly processing content at the edge of the network.
Cloud computing is transforming the telecoms landscape, offering flexibility that is needed to enabling modern, agile business opportunities with secured and high availability services. Centralized network architecture alone does not cost-effectively support the ultra-low latency and extreme throughput demanded by the service like the Internet of Things, cloud gaming and 5G.
The cloud moves to the edge
With the implementation of an edge cloud, a variety of network functions will migrate to it. On the mobile core, for example, we will be able to run EPC and/or 5G NGC workloads on the edge. The main edge cloud network functionality that benefits from being hosted at the edge are Cloud RAN and Service Enablement Platform (SEP), including Multi-access Edge Computing (MEC) and RAN Access controller (RIC). Cloud RAN requires a highly powerful datacenter infrastructure and very low latency towards the radio units. This would be impossible to achieve with a centralized or even regional datacenter infrastructure approach, which means we need to compute at the network edge.
The need for automation is fundamental to ensuring that each service receives the exact right level of resources. Automation, the concept of Cloud RAN as well as network slicing will be fundamental to the execution of highly capable edge.
Cloud-native edge infrastructure will be essential to enable the successful implementation of 5G and to support new, advanced vertical use cases powered by network slicing capabilities. The building of an edge cloud is governed by a variety of requirements including:
- The need for physical space and compute power
- The need to support real-time workloads
- The need for automation tools and orchestration capabilities for distributing and managing workloads in hundreds of small clouds.