QoS Traffic Policing


Quality of Service (QoS) allows achieving a high output by the ability of DPI technology to classify all traffic by priorities, providing wider bandwidth to certain applications and protocols.

Availability and high quality of service are the main indicators of the provider’s performance. Such problems as slow pages’ downloads and stuttering sound during video calls are very annoying for users. These issues can be improved by managing QoE (Quality of Experience) with the QoS function of the Stingray platform.

QoS helps a network device (router or similar) to optimize traffic to be sufficient for the applications which are critically important for users. The service can dynamically apply various methods of differentiation to traffic. It is mostly applicable in IP telephony, IPTV, video conferencing, and other delay-sensitive services.


  • Load-resistant and always available network
  • Real-time mapping and automated solution of network and applications performance issues
  • Possibility to setup custom policies and quotes to block the specific content or to prevent network abuse

Using Carrier Grade NAT (CGN or CG-NAT) or Large Scale NAT (LSN), an ISP is capable of:

Provide one public IPv4 address to several subscribers without loss of Internet connection quality — up to 100 private IP addresses can be placed behind one public IP address (ideal ratio — 1:10)

Extend the use of limited IPv4 address space and reduce the cost of buying IPv4 addresses by 90%

Prepare for the implementation of IPv6 addressing by supporting Dual Stack v4-v6 (support for both protocol versions at the same time)

QoE Analytics

Quality of Experience (QoE) is a software product responsible for gathering statistics and evaluating subscribers’ perception of services. DPI-based QoE metrics help to increase customer loyalty, monitor the network and increase ARPU from each subscriber.

Service Description

The statistics are transferred to special metrics that allow user experience evaluation. It provides the operator with the information: whether the subscriber gets high-quality Internet communication or not; what kind of problems does he/she encounter.

With QoE, you can monitor your network state in automated mode, compiling all the necessary information – subscribers’ data, devices in use, tariff plans, etc. – integrally. The entire compilation or parts of it can be forwarded to various back-office Depts., namely Tech, Sales or Marketing, for more efficient operations.

Based on the precise data rather than on even the best guesses, it is easier for a provider to make optimal decisions. Which, in the end, results in ROI and ARPU growth.

The data obtained allow the operator to take action and to improve the quality of the services – resulting in increased customer loyalty.

The key metrics are:

  • Round-trip-time (RTT)
  • Indicators of retries number
  • The number of sessions, devices, agents
  • IP-addresses per subscribe
  • Traffic distribution by application and transport protocols
  • Traffic distribution by autonomous system (AS) numbers
  • Clickstream for each subscriber