SANDVINE
Traffic Categories
1 Video
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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.
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