Abstract: A framework for quantifying a total quality of experience for subscribers in a communications network is disclosed. A weighted average score representing a quality of experience for at least one application is provided. A set of scores associated with network parameters is provided. A weighted sum using the set of scores and the weighted average score is calculated. A total quality of experience score based on the weighted sum is generated.

Abstract: Processing quality of service data to provide a prediction of quality of experience is disclosed. States for a plurality of parameters affecting a level of service being provided to a set of subscribers are varied. While varying the states of the plurality of parameters, feedback from the set of subscribers is obtained indicating a level of satisfaction with the service being provided to the set of subscribers. The feedback is statistically analyzed to identifying a correlation between the states for the plurality of parameters and the level of satisfaction with the service being provided to the set of subscribers. Scores representing a predicted quality of experience for the subscribers based upon the statistically analyzed feedback are produced.

Abstract: Statistically determining the average network speed in a communications network is disclosed. A network is analyzed to determine an arrangement for speed test servers to collect network speed data. A plurality of speed test servers is dispersed in the network according to the determined arrangement. Speed tests are performed using the plurality of speed test servers to gather the network speed data for a plurality of network elements. The network speed data gathered from the plurality of speed servers is provided to a central database. The gathered network speed data in the central database is statistically analyzed to generate a model of average network speed for each of the plurality of network elements.