With total performance visibility, operators can deliver on the 5G promise and monetize next-gen mobile services.
Mobile operators face two big challenges around delivering on the promise of 5G:
- Monetizing services that capitalize on 5G (core and access)
- Speeds and feeds – the technical challenges of deploying the technologies
Here’s how to overcome these challenges in a way that aligns with operator business goals.
If operators can’t make 5G profitable, they won’t invest in it. Business goals for 5G must go beyond merely trying to anticipate which uses cases will get the most traction. (Self-driving cars? Augmented reality gaming apps? Electrical grid smart sensors?) There a more fundamental challenge at play here: what kind of system or platform must they set up to support even as-yet-unknown 5G revenue sources? Operators must think holistically to address this crucial point.
Those who are successful will do so by combining the concept of network slicing with network-as-a-service—transforming themselves from ‘simple pipe’ providers and into purveyors of a new ‘mobile cloud’ used by a diversity of consumer, enterprise vertical, service provider, and industrial partner customers.
In the cloud economy today, players like Amazon and Google are currently the first-class citizens. That’s about to change because, well, you can get anything you want from Amazon… except for one consistent service level agreement all the way from compute right through to the end user. Amazon can’t do that because they don’t own the access networks.
Mobile operators not only own access networks, but they also have a unique physical advantage: highly distributed infrastructure in the form of many switching centers built over the past few decades. Uniquely, mobile operators can build a distributed datacenter infrastructure unlike any the telecoms and cloud industries have seen, allowing for edge compute to be used dynamically to offer unparalled user experience with guaranteed performance through to the access level. This unique attribute will give rise to applications we haven’t even imagined yet.
In this new universe, network assurance must be per customer and application, not just per slice. Else, it won’t be possible to offer services like autonomous driving, remote system monitoring, or real-time Internet of Things (IoT) analytics.
Serving those customers, though, means addressing the performance visibility aspect of ‘speeds and feeds.’
5G speeds and feeds
The key to making money in the cloud economy is running networks ‘hot;’ at full utilization all the time. To do that, an operator must have systems in place to deal with peak loads. Let’s say a network is at 95% utilization, and a service comes online that jumps it to 120%. Something has to give. The operator can keep everyone happy by moving non-critical service loads to public cloud. Move over, automated municipal sprinkler system; the multi-ton dump truck barreling down the highway is higher-priority.
This ability to manage peak loads is dependent on being able to measure performance on a per-user level, and make necessary adjustments in real-time. With software-defined networking (SDN), operators are setting out to ensure that humans (and machines) are able to connect to 5G networks and services whenever and wherever they need/want to.
That’s a tall order… but not an impossible one, assuming operators have complete, in-depth, relevant visibility into how networks and services are performing and how their performance affects the user experience… and if they apply this to create ‘intelligent autopilot’ for performance management. This can be thought of as the nervous system for the SDN infrastructure. The more critical the application and dynamic the load, the more important this real time, machine speed nervous system becomes.
The missing 5G piece: total visibility for automated control
In our work with operators of all sizes around the globe, we’ve concluded that such network and application performance management requires:
- Virtualized (software-based) solutions capable of monitoring performance between points in a mesh network
- Combining passive performance monitoring with dynamic, automated, high resolution active monitoring
- Very granular, precise performance data
- Coverage of all network layers, from the core to end-user devices
Thanks in part to capabilities added through our acquisition of Performance Vision, Accedian’s SkyLIGHT solution hits all those points. It’s used by operators and enterprises large and small to correlate network and applications analytics with customer data for actionable insight to drive closed loop automation. This fulfills the ‘nervous system’ requirement in a self-optimizing network:
Managing 5G network and application performance end-to-end (core to edge, cloud/data center to field offices) and top-to-bottom (Layers 1 through 7) simply isn’t possible without a nervous system for real-time visibility, decision-making using analytics and machine learning, and responsive control performed by software-defined networking (SDN) and network functions virtualization (NFV).
By combining network as-a-service, mesh backhaul, and closed-loop automation, operators will become first-class citizens of the cloud economy and provide something even Amazon can’t: one consistent 5G service level agreement all the way from compute right through to the end user.