One or more embodiments related to a method of generating a graphical user interface. The method includes obtaining a metric interface hierarchy having multiple nodes, where each node defines a visualization for the node, and the metric interface hierarchy defines an ordering on the nodes. The method further includes traversing the metric interface hierarchy starting with a selected node to obtain a subhierarchy, and creating the graphical user interface from a general interface by populating the general interface with the visualization from each node in the subhierarchy according to the ordering. The method further includes providing the graphical user interface.

Certain aspects of the disclosure are directed to routing decisions implemented in response to VoIP telephone calls. According to a specific example, in response to the VoIP telephone calls, a first set of one or more documents are identified and executed to make routing decisions for the VoIP telephone calls. A second set of one or more documents are then identified based upon an association with the routing decisions. The second set of documents identify data to be retrieved from data sources. In response to the data, call control functionality is provided for the VoIP calls.

Aspects of the present disclosure involve systems and methods for a collaboration conferencing system to track a total number of concurrently utilized ports across any number of conferencing bridges of the network for a particular customer and one or more billing actions may occur based on this tracking. This may result in an alternate billing option for the customer's use of the system. Further, a telecommunications network administrator may provide access to the collaboration conferencing system based on a total number of concurrently utilized ports rather than on a per conference or per minute basis. With the information of the number of purchased ports by the customer, the administrator may more accurately predict an available capacity for the collaboration conferencing system needed to support all of the users of the system and the potential collaboration conferences.

A machine learning model (e.g., including a deep learning neural network) with learned embeddings is applied to time series data with associated metadata to obtain predictions of the time series value. For example, a call volume in a period of time may be predicted based on call volume data for a sequence of time bins in a window of preceding time. Time bins may be associated with respective metadata, such as day of week, hour of day, day of month, holiday, part of business cycle, weather, and/or tide. These pieces of metadata may be mapped to embedding vectors using trained embedding functions. The resulting embedding vectors may be input to a neural network along with the corresponding time series data (e.g., call volumes) to make a prediction for future time bin. For example, the prediction may be used to provision servers in a network infrastructure.

A denial of service (DoS) detection and circumvention system is described herein. The DoS detection and circumvention system can track phone calls that are initiated and store a list of phone numbers that are called. The DoS detection and circumvention system can also track the number of carrier congestion messages over a certain time window. Using the list of called phone numbers and the tracked number of carrier congestion messages, the DoS detection and circumvention system can identify excessive congestion. If the DoS detection and circumvention system identifies excessive congestion, the DoS detection and circumvention system can delay calls so as to prevent a possible DoS condition.

A software application for recommending workforce resource allocation in a communication center based on requirements of events represented in a communication-center queue has a first interface for accessing information from the queue; a second interface for accessing information from a data source about workforce availability and state information; a processing component for processing queue information and workforce information; and a message generation and delivery component for generating a workforce allocation recommendation based on processing results and sending the recommendation to a target entity. In a preferred embodiment, the application periodically accesses the queue and the data source to obtain the most recent information for processing and generates periodic recommendations based on real-time requirements of events and availability states of resources, the recommendations sent ahead of time before the resources are required.

A device is configured to detect congestion and throttle phone calls in a telephone communication system. The device receives, from a telephone dialing system, an indication indicating that a call to a phone number has successfully ended. In response to the indication, the device determines that a set of initial digits of the phone number matches a flooding group number of a flooding group, where the flooding group has a capacity limit. The device determines that a maximum number of concurrent active calls for the flooding group during a predefined period of time is within a predetermined threshold from the capacity limit of the flooding group and that no failed calls have occurred for the flooding group during the predefined period of time. In response to the determining, the device increases the capacity limit of the flooding group.

A data storage system can have adaptive data path routing that consists of a network controller connected to a plurality of data storage units that each have a local controller and memory. A front-end module of the network controller may direct a first data set from a first data storage unit of the plurality of data storage units via a primary data. A back-end routing module of the network controller can adapt to an amount of data accesses by transferring a second data set from a second data storage unit of the plurality of data storage units via a back-end data path.

Various embodiments manage service issues within a wireless communication network. In one embodiment, a one or more call detail records associated with a set of wireless communication devices of a wireless communication network is received. A set of information within each of the one or more call detail records is compared to a baseline statistical model. The baseline statistical model identifies a normal operating state of the wireless communication network. At least one outlier call detail record in the one or more call detail records is identified based on the comparison. The at least one outlier call detail record indicates that at least one wireless communication device associated with the at least one outlier call detail record experienced one or more service issues.

One or more embodiments related to a method of generating a graphical user interface. The method includes obtaining a metric interface hierarchy having multiple nodes, where each node defines a visualization for the node, and the metric interface hierarchy defines an ordering on the nodes. The method further includes traversing the metric interface hierarchy starting with a selected node to obtain a subhierarchy, and creating the graphical user interface from a general interface by populating the general interface with the visualization from each node in the subhierarchy according to the ordering. The method further includes providing the graphical user interface.