Abstract: A method for multi-dimensional impact detection and diagnosis of networks. The methods and systems dynamically explore only those network feature combinations that are likely to have problems by using a summary structure Sketch, for example. The method and systems capture fine-grained anomalies at a coarse level which allows for on-demand zoom into the finer-grained levels for further analysis.

Abstract: A method for multi-dimensional impact detection and diagnosis of networks. The methods and systems dynamically explore only those network feature combinations that are likely to have problems by using a summary structure Sketch, for example. The method and systems capture fine-grained anomalies at a coarse level which allows for on-demand zoom into the finer-grained levels for further analysis.

Abstract: A method for multi-dimensional impact detection and diagnosis of networks. The methods and systems dynamically explore only those network feature combinations that are likely to have problems by using a summary structure Sketch, for example. The method and systems capture fine-grained anomalies at a coarse level which allows for on-demand zoom into the finer-grained levels for further analysis.

Abstract: Communication networks go through frequent upgrades, whereby access point (AP) devices that serve network client devices are brought offline to effectuate the upgrade. Concurrently upgrading too many AP devices within a given geographic area can lead to coverage holes where no service is available, congestion where data cannot be sufficiently communicated, or other service degradation. On the other hand, upgrading too few AP devices within the area can result in a network-wide upgrade time that is too great. An architecture is presented that can efficiently generate a schedule for upgrading AP devices of a communication network.

Abstract: An approach for change roll out in wireless networks that utilizes a diverse set of features, such as software/hardware configuration, radio parameters, user population, mobility patterns, network topology and automatically identifies the test locations that would improve the predictability between the performance impacts during testing and network-wide deployment. Through automated and effective analysis of a wide variety of features, the approach for change roll out in wireless networks reflects the impacts observed during testing and predicts the performance of the post-test wide-scale deployment.

Abstract: Communication networks go through frequent upgrades, whereby access point (AP) devices that serve network client devices are brought offline to effectuate the upgrade. Concurrently upgrading too many AP devices within a given geographic area can lead to coverage holes where no service is available, congestion where data cannot be sufficiently communicated, or other service degradation. On the other hand, upgrading too few AP devices within the area can result in a network-wide upgrade time that is too great. An architecture is presented that can efficiently generate a schedule for upgrading AP devices of a communication network.

Abstract: An approach for change roll out in wireless networks that utilizes a diverse set of features, such as software/hardware configuration, radio parameters, user population, mobility patterns, network topology and automatically identifies the test locations that would improve the predictability between the performance impacts during testing and network-wide deployment. Through automated and effective analysis of a wide variety of features, the approach for change roll out in wireless networks reflects the impacts observed during testing and predicts the performance of the post-test wide-scale deployment.