Neuron today launched Network Capacity Controller, the first solution for dynamically orchestrating satellite capacity between the ships, according to a press release.
The Network Capacity Controller uses AI and machine learning to make the best use of fleet-wide capacity when and where it’s needed most, optimizing resources, performance, and quality of experience (QoE), the company said.
Satellite capacity, when allocated to a ship, aircraft or remote site, is generally fixed. In a fleet, if one endpoint requires more bandwidth due to high data demands, while another has excess capacity, resources cannot be easily reallocated to balance the load. Complex modeling and forecasting aim to avoid underutilization and congestion, but optimal usage is difficult to predict with changes in geography, weather, number of passengers, application requirements, demand variables over time and more. As a result, performance and cost inefficiencies are inevitable.
The Network Capacity Controller intelligently reallocates capacity in near real time, with no need for manual policies or interventions. For example, if Ship A’s internet is impacted by weather, the Network Capacity Controller will automatically shift capacity from Ship B to Ship A – and it will prioritize bandwidth that performs better in rain, like C-Band, while Ship B makes use of the other bandwidth options that are available.
“Efficiently managing connectivity resources across hundreds of moving ships and planes or remote assets is challenging,” said Benny Retnamony, founder and CEO, Neuron. “Network Capacity Controller eliminates the need to make capacity decisions based on individual endpoints. Neuron can measure and determine how much capacity a fleet needs, and Network Capacity Controller will dynamically manage it to meet demand precisely when and where it matters.”
The company said that the Network Capacity Controller is underpinned by Neuron Grid, an AI-powered network management solution that delivers seamlessly blended connectivity across multiple providers, orbits and networks. Grid’s intelligent decision engine makes decisions every 50 milliseconds to orchestrate traffic on a ship, plane or remote site over the right connectivity service at the right time, making the best use of all available onboard bandwidth at the highest QoE.
“At Neuron, we take care of the complex engineering so that our customers don’t have to,” added Prateek Dahale, director of engineering, Neuron. “Network Capacity Controller works behind the scenes, analyzing thousands of data points every second to make decisions about how to best orchestrate a fleet’s pool of capacity and optimize the network accordingly. Its algorithm continually learns and adapts, ensuring smarter decisions and better results over time.”
