Distributed Cloud Networking for SP Edge and 5G
Seamlessly connect edge locations into a unified fabric
Building unified fabrics for telecom service provider distributed edge clouds and 5G infrastructure
Pluribus Networks’ proven Unified Cloud Fabric technology is deployed globally in the virtualized network cores of over 100 tier 1 mobile operators.
As these telco cloud infrastructures expand to more distributed edge locations to enable new 5G and edge computing applications, the Unified Cloud Fabric scales seamlessly to create a highly distributed cloud network across dozens or hundreds of edge sites while preserving the operational simplicity and efficiency of a centralized cloud
5G and Edge Computing Drive Distributed Cloud Architectures
A new class of applications is emerging with requirements that cannot be met by a centralized cloud architecture but can be met by a more distributed cloud architecture supporting edge computing. New technologies such as artificial intelligence (AI), machine learning (ML), and the Internet of Things (IoT) drive this new class of applications, which require computing resources at the network edge, closer to users and things. Deployment of 5G infrastructure and services will both depend on more distributed edge computing capability and accelerate the availability of edge computing for a wide range of users and applications.
There are four main reasons why data processing needs to happen at edge locations for emerging applications:
- Low latency
A number of high-value applications such as virtual reality, gaming and public safety are extremely sensitive to latency, especially round-trip delay.
- Bandwidth cost
With a dramatic rise in IoT, more and more data is being sent toward the central cloud. Data thinning at the edge can reduce bandwidth costs for applications, such as handling large numbers of video surveillance streams.
Ensuring that if the location is disconnected from the central cloud it will still perform; for example, in public safety applications with multiple sensors and actuators that may be interacting locally.
Data storage and processing close to the user can increase confidence that services are satisfying data sovereignty regulations and ensuring consumer privacy.