Abstract:
Devices, methods and computer-readable media for providing services based upon identification of decision makers and owners associated with communication services. Data for providing communication services based upon identification of decision makers associated with communication services is stored, wherein the data including a user profile and default template identifying a default decision maker for a service. Policy rules and the stored data are analyzed. A new decision maker for a particular service is identified based upon the analysis of the policy rules and the stored data. The communication services are provided to the identified new decision maker.
Abstract:
A processing system including at least one processor may obtain a first ontology of a first type of data pipeline component, map the first ontology to a second ontology for a second type of data pipeline component that is stored in a catalog of data pipeline component types, provide a second data schema for the second type of data pipeline component as a template for a first data schema for the first type of data pipeline component, and add the first type of data pipeline component to the catalog of data pipeline component types, where the adding comprises storing the first ontology and the first data schema for the first type of data pipeline component in the catalog of data pipeline component types.
Abstract:
A method includes defining a plurality of variables to modify in a control loop; collecting first data using a first variable of the plurality of variables while executing the control loop, generating a first result based on the collecting first data step, substituting a second variable of the plurality of variables for the first variable, collecting second data using the second variable while executing the control loop, generating a second result based on the collecting second data step, comparing the first result and the second result; and taking an action based on the comparing step.
Abstract:
Fast-aiding radio access network intelligent controllers (RICs) can assist other RICs that are experiencing performance issues. The system can take into account the availability of other RICs that can aid the RIC needing assistance. Therefore, multiple RICs cooperatively working together can generate synergies, and allow differentiated RICs to operate in both predefined and/or dynamically create RIC groups. Once a RIC that needs assistance is identified, other RICs can offload functionalities that are less important than the functionality of the RIC that is experiencing the performance issues. After the assisting RIC has offloaded its functionalities, it can then devote resources to the RIC that needs the assistance.
Abstract:
In one embodiment, a method includes monitoring, by a control loop including a processor and a memory, a first environment. The control loop includes one or more predetermined control loop parameters. The method also includes receiving, by the control loop and in response to monitoring the first environment, first data from the first environment and receiving, by the control loop, information from an adaptation control loop. The method also includes determining, by the control loop, to automatically adjust at least one of the one or more predetermined control loop parameters based at least in part on the information received from the adaptation control loop and automatically adjusting, by the control loop, the one or more predetermined control loop parameters. The method further includes determining, by the control loop, to initiate an action based on the first data collected from the first environment and the one or more adjusted control loop parameters.
Abstract:
A method includes creating one or more first policy shims to be applied to a ML/AI module, applying the one or more first policy shims to an input or an output of the ML/AI module and executing the ML/AI module on a data set in response to the applying step. The one or more first policy shims includes an input policy shim and an output policy shim and the applying step includes applying the input policy shim to the data set prior to the executing step and applying the output policy shim to an output of the executing step
Abstract:
A method for managing appointments using a wireless device includes receiving scheduling data for a future appointment including a time associated with the future appointment. A current location of the wireless device is determined, and a reminder for the future appointment is provided at a time prior to the future appointment based on the current location of the wireless device. Fox example, the reminder may be provided at a time that varies based on the current location of the wireless device, a location associated with the future appointment, and an estimated travel time between the current location of the device and the location associated with the future appointment. Related methods, devices, and computer program products are also discussed.
Abstract:
A method for managing appointments using a wireless device includes receiving scheduling data for a future appointment including a time associated with the future appointment. A current location of the wireless device is determined, and a reminder for the future appointment is provided at a time prior to the future appointment based on the current location of the wireless device. For example, the reminder may be provided at a time that varies based on the current location of the wireless device, a location associated with the future appointment, and an estimated travel time between the current location of the device and the location associated with the future appointment. Related methods, devices, and computer program products are also discussed.
Abstract:
Devices, methods and computer-readable media for providing broad quality of service optimization using policy-based selective quality degradation. Data associated with a quality of service for customers and QoS policy rules are stored. Customers are grouped for potential degradation. Levels of degradation are defined for each type of user device. Degradation for the group of customers is optimized using policy rules. Degradation is adjusted to account for variations in user treatment within the group. The adjusted degradation is then implemented.
Abstract:
Devices, methods and computer-readable media for providing broad quality of service optimization using policy-based selective quality degradation. Data associated with a quality of service for customers and QoS policy rules are stored. Customers are grouped for potential degradation. Levels of degradation are defined for each type of user device. Degradation for the group of customers is optimized using policy rules. Degradation is adjusted to account for variations in user treatment within the group. The adjusted degradation is then implemented.