Abstract: A method includes processing parameter selection inputs corresponding to a threshold correlation rule associated with monitoring a communication network. The method also includes processing node selection inputs. The method further includes causing a list of key performance indicators (KPIs) associated with monitoring the communication network to be populated based on the parameter selection inputs and the node selection inputs. The method also includes processing threshold comparison inputs and breach consistency condition inputs to generate a provisional threshold correlation rule. The method further includes processing the provisional threshold correlation rule to determine whether a previously created threshold correlation rule corresponding to a KPI exists.

Abstract: A system and method provide for efficient identification, diagnosis, and suppression of performance requirement failure in a network. Portions of the network are evaluated to detect a collective failure of the portion to meet a predefined performance requirement. The portion can then be iteratively divided and each subportion similarly evaluated, until a root cause portion of the initially-detected collective failure is identified. Alternatively, upon detection of a failure to meet a predefined performance requirement, a series of cause performance requirements are iteratively evaluated until a root cause performance requirement is identified. In either instance, the root cause can then be suppressed.

Abstract: A method includes processing one or more parameter selection inputs from a graphical user interface. The graphical user interface includes a plurality of parameter input fields. Each parameter input field receives a parameter selection corresponding to a detail for identifying one or more key performance indicators (KPIs) associated with monitoring a communication network. The method includes causing a list of KPIs in the graphical user interface to be narrowed based on the processing of the one or more user inputs received by one or more of the plurality of parameter input fields. The method includes processing a selection to view one or more KPIs included in the list of KPIs. The method includes processing one or more hierarchy selection inputs received by way of the graphical user interface to cause a KPI value for each of the one or more selected KPIs to be generated and output to a display.

Abstract: A method includes processing a selection to add one or more key performance indicators (KPIs) associated with monitoring a communication network to a KPI monitoring watchlist. The method also includes retrieving a KPI value for each of the one or more KPIs added to the KPI monitoring watchlist from a central data repository. The method further comprises causing the KPI monitoring watchlist to be output to a display such that the KPI value for each of the one or more KPIs added to the KPI monitoring watchlist is arranged in a table having columns and rows, and causing the KPI value(s) to be highlighted in the KPI monitoring watchlist by one of a first color or a second color corresponding to a relationship between the KPI value for each of the one or more KPIs added to the KPI monitoring watchlist and a corresponding preset threshold.

Abstract: A method includes processing parameter selection inputs corresponding to a threshold correlation rule associated with monitoring a communication network. The method also includes processing node selection inputs. The method further includes causing a list of key performance indicators (KPIs) associated with monitoring the communication network to be populated based on the parameter selection inputs and the node selection inputs. The method also includes processing threshold comparison inputs and breach consistency condition inputs to generate the threshold correlation rule. The method further includes comparing KPI values to a threshold comparison target and causing an alert to be generated indicating that an operating state of the communication network is outside a preset performance level.

Abstract: An apparatus is configured to process user credentials received by way of a graphical user interface output by a display, retrieve a user profile associated with the user credentials from a database, and access a central data repository to retrieve stored data based on the user profile. The apparatus is also configured to cause a list of the stored data corresponding to the user profile to be displayed. The stored data is displayed according to a plurality of sortable parameters indicative of the stored data included in the list. The apparatus is further configured to process a user input received by way of the graphical user interface to add new data to the central repository, cause a configuration profile user interface to be output by the display, and cause the new data to be added to the central repository and sorted according to a generated configuration profile.

Abstract: A method includes processing one or more parameter selection inputs received by way of a graphical user interface including a plurality of parameter input fields. Each parameter input field is configured to receive a parameter selection corresponding to a detail for generating a performance report. The method also includes processing one or more node selection inputs received by way of the graphical user interface. The method further includes causing a list of one or more key performance indicators (KPIs) associated with monitoring a communication network to be populated based on the parameter selection input(s) and the node selection input(s). The method additionally includes causing one or more of the KPIs to be selected for inclusion in the performance report, processing a time range and/or a frequency for generating the performance report, and causing the performance report to be generated based on the time range and/or the frequency.

Abstract: An apparatus includes a processor and a memory having instructions stored thereon that, when executed by the processor, cause the apparatus to cause a graphical user interface to be output by a display. The graphical user interface includes a first user input field configured to receive a first user input identifying a target key performance indicator (KPI) parameter associated with a network, a second user input field configured to receive a second user input identifying a KPI historical data parameter, and a third user input field configured to receive a third user input identifying a baseline threshold parameter. The apparatus is also caused to process the target KPI parameter, the KPI historical data parameter and the baseline threshold parameter to generate a KPI management profile. The apparatus is further caused to process the target KPI parameter and historical KPI values to generate a dynamic baseline threshold value.

Abstract: A method includes causing an evaluation profile user interface to be output by a display. The evaluation profile user interface includes a key performance indicator (KPI) input field to receive a user input identifying one or more selected KPIs, one or more parameter input fields to receive one or more additional user inputs, and one or more evaluation input fields to receive one or more anomaly detection instructions based upon which the one or more selected KPIs are processed to determine an anomalous condition of the one or more selected KPIs. The user inputs and the anomaly detection instruction(s) are processed to generate a configured evaluation profile. At least one of received current performance data or historical performance data is processed based on the configured evaluation profile to determine that the received current performance data or the historical performance data indicates an active anomaly or a predicted anomaly.

Abstract: A method includes causing a graphical user interface to be output by a display. The graphical user interface includes first, second and third user input fields configured to receive a first user input identifying a network service provider name identifying a selected network service provider associated with providing one or more network services to a communication network, a second user input identifying a selected wireless domain, and a third user input identifying a selected wireless technology. The method also includes processing the selected network service provider name, the selected wireless domain and the selected wireless technology to generate an illustration profile. The method further includes processing an instruction to view system data associated with the one or more network service provided to the communication network to cause a graphical view of the system data to be displayed based on the illustration profile.

Abstract: An apparatus includes a processor and a memory having instructions stored thereon that, when executed by the processor, cause the apparatus to cause a graphical user interface to be output by a display. The graphical user interface includes a first user input field configured to receive a first user input identifying a target key performance indicator (KPI) parameter associated with a network, a second user input field configured to receive a second user input identifying a KPI historical data parameter, and a third user input field configured to receive a third user input identifying a baseline threshold parameter. The apparatus is also caused to process the target KPI parameter, the KPI historical data parameter and the baseline threshold parameter to generate a KPI management profile. The apparatus is further caused to process the target KPI parameter and historical KPI values to generate a dynamic baseline threshold value.

Abstract: A method includes causing, by a processor, a graphical user interface (GUI) to be output by a display. The GUI includes a first user input field identifying a target key performance indicator (KPI) associated with a network. A second user input field identifying a KPI peak-usage frequency. A third user input field identifying a peak-usage relationship. The method also includes creating a first monitoring profile based on the target KPI for the KPI peak-usage frequency for the peak-usage relationship. Storing the first monitoring profile. Monitoring the target KPI for the KPI peak-usage frequency based on the first monitoring profile. Collecting target KPI data over a period defined by the KPI peak-usage frequency. Determining a peak-usage during the period defined by the KPI peak-usage frequency based on the collected target KPI data. Periodically reporting peak-usage data based on the first monitoring profile.