SANDVINE
Traffic Categories
1 Video
2 3 4 5 6 7 8 9 10 11 12 13 14
Figure 2 : Traffic Categories
File Sharing Television Social Media Web Apps Device Gaming Communication App Store Audio VPN Cloud Gaming Conferencing IoT Infrastructure accuracy across 14 categories of traffic [ figure 2 ] and 11 categories of content . In other words , we bring a clear and comprehensive application-specific view of what ’ s hidden in service providers ’ data and control planes , tracking flows across entire delivery systems in networks .
What we do is different from the big network equipment manufacturers , probe companies , and application performance monitoring vendors . We offer more depth and scope because we are application focused , with extremely good data analysis and insight into what is going on in both the data and control planes , tracking the flow across the entire delivery system in the network .
Our machine-learning app classification takes place in the data plane , while in the control plane , data enrichment and QoE scoring occurs , feeding visualisation of the designated KPIs related to App QoE . This streamlines and accelerates operational analyses and actions . [ figure 3 ]
In this third layer , we offer custom application workflows that deliver personaspecific visualisations for the CTO , operations , network planning , big data , and even marketing . The custom dashboards enable :
• CTOs to benchmark their network performance and plan network improvements based on application usage to maximise ROI .
• Operations to troubleshoot application problems quickly , before they become customer service calls or truck rolls .
• Network planners to be more precise and prescriptive so that congestion is managed and QoE is optimal over the long term .
• Big data teams to analyse all data traffic , including encrypted data , so they can make better business decisions .
• Marketing to monetise data traffic , upsell to specific users , and increase advertising revenue .
100 March 2023