Case Study

"Predictive Routing for an International Content Delivery Network (CDN)
Maxwell forecasts where congestion will be and updates routing information to route traffic away from those links and avoid congestion
Problem

When there is network Congestion customers experience low Quality of Experience which in turn translates into churn and lower revenues

Solution before Maxwell

Current routing protocols (BGP and OSPF) created in the late eighties route traffic over networks based on current network distance, congestion and performance. When routers report congestion on a network, the protocols adjust routing rules to direct traffic over less congested paths. However, by the time networks adjust, congestion has already happened and users experienced a degraded Quality of Experience (QOE).

The need

Identify congestion before it happens and avoid lower QOE,churn and revenue dreduction.

Solution

Maxwell forecast when and where network congestion will occur and it either updates network routing tables or DNS servers to direct traffic to travel over less congested links.

How it works

Maxwell plugs into a Federated Nagios monitoring deployment (a network and device monitoring software) to read historical bandwidth consumption across a large network. Maxwell then generates forecasts for future traffic growth across all network elements and identifies specific network elements that will experience congestion in the near future. This information is fed into DNS servers to point URLs to servers with less congestion or fed into routing algorithms to steer traffic away from congested links.

Results

Benefits & return on investment (ROI)

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