Abstract:
Aspects of the subject disclosure may include, for example, a method comprising determining whether a skippable advertisement is being streamed preceding a requested video; responsive to determining that the skippable advertisement is being streamed, initiating a skippable advertisement procedure, wherein the skippable advertisement procedure comprises streaming a first portion of the skippable advertisement without imposing constraints and streaming a second portion of the skippable advertisement imposing constraints; responsive to receiving a request to skip the skippable advertisement, ceasing the streaming the second portion of the skippable advertisement and initiating streaming of the requested video without imposing constraints. Other embodiments are disclosed.
Abstract:
A method includes measuring a first performance metric of a network comprising a plurality of virtual network functions (VNFs). The method also includes executing tasks to implement the software change on a first VNF set. The method also includes measuring a second performance metric of the network after at least one of the tasks has been completed and comparing the first performance metric to the second performance metric to determine a recommendation for whether to deploy the software change on the plurality of VNFs. The tasks are based upon a change management workflow created using a graphical model, the graphical model comprising modular building blocks selected from a change management catalog.
Abstract:
A method and apparatus for providing trouble isolation are disclosed. For example, the method monitors a plurality of sessions for a user group for detecting an abnormal cause code associated with the user group, determines a root cause for the abnormal cause code when a deviation is determined to have occurred for the cause code of the user group, wherein the root cause identifies either an issue associated with the communications network or an issue associated with user endpoint devices of the user group, and generates a ticket indicating the root cause.
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.
Abstract:
Example methods disclosed herein to prioritize anomalies in a communication network include classifying respective nodes in the communication network as normal, abnormal or indeterminate based on measurements received for the nodes. Disclosed example methods also include selecting a subset of the nodes classified as abnormal to be root cause abnormal nodes representing sources of the anomalies in the communication network, respective ones of the root cause abnormal nodes being abnormal nodes identified in the communication network and determined to have respective sets of direct descendent nodes having majorities of nodes classified as abnormal or indeterminate. Disclosed example methods further include combining respective anomaly sizes and anomaly scopes determined for the respective ones of root cause abnormal nodes based on the measurements to determine respective rankings for the root cause abnormal nodes, and outputting the respective rankings to prioritize the set of root cause abnormal nodes.
Abstract:
To efficiently mitigate cell coverage disruptions caused by either unplanned equipment failures or planned outages during maintenance activities, an efficient cell site outage mitigation system is provided to calculate an optimal configuration for neighboring cell site devices before adjusting the cell site configuration settings to cover the coverage gap. The optimal configuration is determined using an offline model learner. Radio frequency propagation models and user demand and distribution models can be used to determine the offline solution. The optimal configuration setting learnt using an offline model is then implemented when an outage is determined to have occurred in the operational field.
Abstract:
To efficiently mitigate cell coverage disruptions caused by either unplanned equipment failures or planned outages during maintenance activities, an efficient cell site outage mitigation system is provided to calculate an optimal configuration for neighboring cell site devices before adjusting the cell site configuration settings to cover the coverage gap. The optimal configuration is determined using an offline model learner. Radio frequency propagation models and user demand and distribution models can be used to determine the offline solution. The optimal configuration setting learnt using an offline model is then implemented when an outage is determined to have occurred in the operational field.
Abstract:
A method, computer-readable storage device and apparatus for quantifying a total number of customers impacted by a cellular tower outage are disclosed. For example, the method monitors a plurality of cellular towers, detects a failure of one of the plurality of cellular towers, identifies a subset of the plurality of cellular towers that are included in an affected region, calculates a number of additional customers served by each one of the subset of the plurality of cellular towers that are included in the affected region due to the failure of the one cellular tower, and quantifies the total number of customers impacted by the failure of the one cellular tower by adding the number of additional customers served by the each one of the subset of the plurality of cellular towers that are included in the affected region.