Abstract:
Concepts and technologies disclosed herein are directed to automated control loop grading and data labeling (“ACLGDL”). An ACLGDL system analyzes results of an execution, by a control loop system, of a control loop. The ACLGDL system can grade the results. The ACLGDL system also can instruct, based at least in part upon the grade of the results of the execution, the control loop system to collect additional data. The ACLGDL system can label the additional data for use by an output system. The ACLGDL system can establish plurality of policies including a grading-analysis policy, a grading-results policy, a labeling-collection policy, a labeling policy, a publishing policy, and a notification policy. The ACLGDL system can publish the data labeled in accordance with the labeling policy based, at least in part, upon the publishing policy. The ACLGDL system can notify the output system based, at least in part, upon the notification policy.
Abstract:
Concepts and technologies disclosed herein are directed to automated control loop searching (“ACLS”). According to one aspect disclosed herein, an ACLS system can create a search model that provides high-level information regarding what the ACLS system should search for when a search pattern is detected within data that is output from execution of a control loop. The ACLS system can activate a control loop system that executes the control loop to yield the data as output. The ACLS system can detect the search pattern within data, and in response, the ACLS system can execute, based upon the search model, a search of the data. The ACLS system can collect search results of the search and select additional data from the search results.
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:
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:
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 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:
A processing system may generate a first dataset according to a first policy set, record first metadata for the first dataset, generate a first enhanced dataset from the first dataset and a second dataset, according to a second policy set to associate the first and second datasets, and record second metadata including information regarding the second policy set that is applied to associate the first and second datasets, generate a second enhanced dataset derived from the first enhanced dataset and a third dataset according to a fifth policy set to associate the first enhanced dataset with at least the third dataset, the first and second datasets from a first domain and the third dataset from a second domain, record fifth metadata including information associated with the fifth policy set to associate the first enhanced dataset with the third dataset, and add the second enhanced dataset to a dataset catalog.
Abstract:
Concepts and technologies disclosed herein are directed to automated control loop grading and data labeling (“ACLGDL”). According to one aspect disclosed herein, an ACLGDL system analyzes results of an execution, by a control loop system, of a control loop. The ACLGDL system can grade the results. The ACLGDL system also can instruct, based at least in part upon the grade of the results of the execution, the control loop system to collect additional data. The ACLGDL system can label the additional data for use by an output system. The ACLGDL system can establish plurality of policies including a grading-analysis policy, a grading-results policy, a labeling-collection policy, a labeling policy, a publishing policy, and a notification policy. The ACLGDL system can publish the data labeled in accordance with the labeling policy based, at least in part, upon the publishing policy. The ACLGDL system can notify the output system based, at least in part, upon the notification policy.
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 for adapting quality of service to dynamics of a wireless telecommunications network is provided. The method includes collecting data relating to operation of an element in the network, wherein the collected data comprises radio-frequency (RF) data relating to operation of the network. The method also includes pre-calculating, from the collected data, a dynamic operational characteristic of the network, wherein the pre-calculating includes pre-calculating from the collected data to obtain a geometrical determination based on a geographical location of a wireless communications device within the network. The method further includes making available the pre-calculated characteristic of the network to an application of the device using the network, including storing the characteristic at a pre-calculation server accessible by the device so the device can selectively retrieve the characteristic, and updating the characteristic at a frequency based on a trigger related to volatility of the RF data being collected.