Abstract: A framework referred to as COmposition fRamework for chaNge management (CORNET) may integrate re-usable abstraction, modular composition with plug-and-play capabilities, or automated translation of high-level change management intent into low-level implementations and mathematical models. CORNET may use real-world data collected from cellular networks (e.g., 4G or 5G) and virtualized services, such as virtual private networks (VPN) and software defined wide area networks (SDWAN) running in the cloud.

Abstract: A method performed by a processing system including at least one processor includes grouping a plurality of nodes of a telecommunications network into a plurality of reference groups, based on a plurality of configuration attributes and on a plurality of load, mobility, radio frequency attributes for the plurality of nodes, selecting a first reference group of the plurality of reference groups, where the first reference group includes a subset of the plurality of nodes, selecting a first configuration parameter of the first reference group to be tuned, identifying a first value for the first configuration parameter that is most prevalent among the subset of the plurality of nodes, and setting the first configuration parameter for all nodes in the subset of the plurality of nodes to the first value.

Abstract: A framework referred to as COmposition fRamework for chaNge management (CORNET) may integrate re-usable abstraction, modular composition with plug-and-play capabilities, or automated translation of high-level change management intent into low-level implementations and mathematical models. CORNET may use real-world data collected from cellular networks (e.g., 4G or 5G) and virtualized services, such as virtual private networks (VPN) and software defined wide area networks (SDWAN) running in the cloud.

Abstract: A new scalable approach to conflict-free deployment of changes across networks. The conflict rules or constraints may be modeled using policies and algorithms to determine an optimized schedule for change deployment.

Abstract: A method of reverse migrating traffic in a network includes receiving, via an application programming interface (API), a request to migrate traffic, the request identifying a target around which the traffic is to be migrated and a peer to which the traffic is to be migrated. The computer-implemented method further includes generating one or more masks comprising weights indicating a percentage of traffic to send to each port of at least two ports. The computer-implemented method further includes stacking the one or more masks on a base mask denoting a default configuration of a network component. The computer-implemented method further includes facilitating migration of the traffic using the one or more masks. The computer-implemented method further includes performing a reverse migration from the target to the peer by removing each of the one or more masks.

Abstract: A framework referred to as COmposition fRamework for chaNge management (CORNET) may integrate re-usable abstraction, modular composition with plug-and-play capabilities, or automated translation of high-level change management intent into low-level implementations and mathematical models. CORNET may use real-world data collected from cellular networks (e.g., 4G or 5G) and virtualized services, such as virtual private networks (VPN) and software defined wide area networks (SDWAN) running in the cloud.

Abstract: A new scalable approach to conflict-free deployment of changes across networks. The conflict rules or constraints may be modeled using policies and algorithms to determine an optimized schedule for change deployment.

Abstract: A method includes selecting a study group including a first network element and a second network element of a network, selecting a control group including a third network element, identifying times at which a change is deployed at the first network element and the second network element, time-aligning the change at the first element and the change at the second network element to a common time, performing a statistical analysis that compares the performance of the network before the common time to the performance of the network after the common time, detecting an impact of the change on a performance of the network based on the statistical analysis, and initiating a remedial action when the impact comprises a degradation to the performance.

Abstract: A processing system may obtain values of carrier attributes for a new carrier to be deployed in a cellular network, obtain values of the carrier attributes and values of a configuration parameter for a plurality of existing carriers in the cellular network, and construct an attribute value matrix comprising the values of the carrier attributes for the plurality of existing carriers, where the attribute value matrix associates the carrier attributes to the plurality of existing carriers, apply a regression to a function associating the attribute value matrix to a vector of the values of the configuration parameter for the plurality of existing carriers to learn coefficients of the function, apply the coefficients to a vector comprising the values of the plurality of carrier attributes for the new carrier to generate a value of the configuration parameter for the new carrier, and apply the generated value to the new carrier.

Abstract: A method includes selecting a study group including a first network element and a second network element of a network, selecting a control group including a third network element, identifying times at which a change is deployed at the first network element and the second network element, time-aligning the change at the first element and the change at the second network element to a common time, performing a statistical analysis that compares the performance of the network before the common time to the performance of the network after the common time, detecting an impact of the change on a performance of the network based on the statistical analysis, and initiating a remedial action when the impact comprises a degradation to the performance.

Abstract: A processing system may obtain values of carrier attributes for a new carrier to be deployed in a cellular network, obtain values of the carrier attributes and values of a configuration parameter for a plurality of existing carriers in the cellular network, and construct an attribute value matrix comprising the values of the carrier attributes for the plurality of existing carriers, where the attribute value matrix associates the carrier attributes to the plurality of existing carriers, apply a regression to a function associating the attribute value matrix to a vector of the values of the configuration parameter for the plurality of existing carriers to learn coefficients of the function, apply the coefficients to a vector comprising the values of the plurality of carrier attributes for the new carrier to generate a value of the configuration parameter for the new carrier, and apply the generated value to the new carrier.

Abstract: A method for multi-dimensional impact detection and diagnosis of networks. The methods and systems dynamically explore only those network feature combinations that are likely to have problems by using a summary structure Sketch, for example. The method and systems capture fine-grained anomalies at a coarse level which allows for on-demand zoom into the finer-grained levels for further analysis.

Abstract: A method for multi-dimensional impact detection and diagnosis of networks. The methods and systems dynamically explore only those network feature combinations that are likely to have problems by using a summary structure Sketch, for example. The method and systems capture fine-grained anomalies at a coarse level which allows for on-demand zoom into the finer-grained levels for further analysis.

Abstract: A method includes selecting a study group including a first network element and a second network element of a network, selecting a control group including a third network element, identifying times at which a change is deployed at the first network element and the second network element, time-aligning the change at the first element and the change at the second network element to a common time, performing a statistical analysis that compares the performance of the network before the common time to the performance of the network after the common time, detecting an impact of the change on a performance of the network based on the statistical analysis, and initiating a remedial action when the impact comprises a degradation to the performance.

Abstract: A new scalable approach to conflict-free deployment of changes across networks. The conflict rules or constraints may be modeled using policies and algorithms to determine an optimized schedule for change deployment.

Abstract: A method of reverse migrating traffic in a network includes receiving, via an application programming interface (API), a request to migrate traffic, the request identifying a target around which the traffic is to be migrated and a peer to which the traffic is to be migrated. The computer-implemented method further includes generating one or more masks comprising weights indicating a percentage of traffic to send to each port of at least two ports. The computer-implemented method further includes stacking the one or more masks on a base mask denoting a default configuration of a network component. The computer-implemented method further includes facilitating migration of the traffic using the one or more masks. The computer-implemented method further includes performing a reverse migration from the target to the peer by removing each of the one or more masks.

Abstract: A method for multi-dimensional impact detection and diagnosis of networks. The methods and systems dynamically explore only those network feature combinations that are likely to have problems by using a summary structure Sketch, for example. The method and systems capture fine-grained anomalies at a coarse level which allows for on-demand zoom into the finer-grained levels for further analysis.

Abstract: A new scalable approach to conflict-free deployment of changes across networks. The conflict rules or constraints may be modeled using policies and algorithms to determine an optimized schedule for change deployment.

Abstract: A method of migrating traffic in a network includes receiving, via an API, a request to migrate traffic. The request identifies a target around which the traffic is to be migrated and a peer to which the traffic is to be migrated. The method also includes discovering at least one anchor point based on at least a topology of the network, the target, and the peer. The method includes, based on an identity of the at least one anchor point and the target, identifying a migration mechanism. The method also includes requesting, in accordance with the migration mechanism, that the at least one anchor point facilitate migration of the traffic. The method includes responding, through the API, to the request indicating whether the migration was successful.

Abstract: A method of migrating traffic in a network includes receiving, via an API, a request to migrate traffic. The request identifies a target around which the traffic is to be migrated and a peer to which the traffic is to be migrated. The method also includes discovering at least one anchor point based on at least a topology of the network, the target, and the peer. The method includes, based on an identity of the at least one anchor point and the target, identifying a migration mechanism. The method also includes requesting, in accordance with the migration mechanism, that the at least one anchor point facilitate migration of the traffic. The method includes responding, through the API, to the request indicating whether the migration was successful.