Abstract: It is enabled to optimize an execution condition of an action on an element included in a communication system. A policy manager (90) changes, when a reception status of an instruction to execute the action on the element satisfies a given change condition, the action execution condition to a condition determined based on the reception status of the execution instruction. The policy manager (90), a life cycle manager (94), a container manager (78), and a configuration manager (76) execute, after the action execution condition is changed, the action on the element in response to a performance index value satisfying the changed action execution condition.

Abstract: It is enabled that wasteful usage of resources used for determining whether to execute an action on an element included in a communication system is reduced. A management supporter (84) receives a specification of an element from among a plurality of elements included in a communication system. The management supporter (84) displays a monitoring screen showing performance information on the specified element. A policy manager (90) selects at least one monitoring target element from among a plurality of the elements for which the performance information is shown on the monitoring screen. The policy manager (90) initiates execution of a determination process to determine whether to execute a given action on the monitoring target element based on a performance index value of the monitoring target element.

Abstract: It is enabled that wasteful usage of resources used for displaying a monitoring screen showing a performance index value of an element included in a communication system is reduced. A management supporter (84) repeatedly updates the monitoring screen showing the performance index value for at least one time point with respect to the element included in the communication system. A policy manager (90), a life cycle manager (94), a container manager (78), and a configuration manager (76) execute, in response to receiving an instruction to execute a given action on the element, the action on the element. The management supporter (84) executes, when a reception status of the execution instruction satisfies a given condition, at least one of starting display of a predicted value of the performance index value or shortening an update interval of the monitoring screen.

Abstract: It is enabled that hardware resources included in a communication system are efficiently used. When a surplus level of a hardware resource included in a special spare resource group satisfies a surplus condition, a configuration manager (76) changes, in response to a usage status of a hardware resource group satisfying a resource addition condition, an affiliation of the hardware resource included in the special spare resource group from the special spare resource group to the hardware resource group.

Abstract: It is enabled that hardware resources included in a communication system are efficiently used. A monitor (72) monitors a usage status of each of a plurality of hardware resource groups included in the communication system. A configuration manager (76) changes, in response to the usage status of any one of the hardware resource groups satisfying a condition associated with the hardware resource group, an affiliation of a hardware resource included in a common spare resource group different from all of the hardware resource groups from the common spare resource group to the hardware resource group.

Abstract: It is enabled that accurate determination of a machine learning model which is to be used for predicting a performance index value of a communication system and which is suitable for the communication system. A monitor (72) monitors at least one type of performance index value related to the communication System. An AI (70) identifies, for each of a plurality of machine learning models to be used for a given prediction purpose related to the communication system, an additional performance index value type which is a type of performance index value required to be added to a target of the monitoring in order to use the machine learning model. The AI (70) determines at least one machine learning model among the plurality of machine learning models based on the additional performance index value type identified for each of the plurality of machine learning models.

Abstract: It is enabled that accurate determination of a machine learning model suitable for a communication system from among a plurality of machine learning models to be used for a given prediction purpose related to the communication system. An AI (70) inputs, to each of a plurality of trained machine learning models, input data corresponding to the machine learning model, and acquires a predicted value as an output of the machine learning model. The AI (70) evaluates an accuracy of a prediction related to the prediction purpose by the machine learning model based on the acquired predicted value and, of test data, a part indicating an actual result value corresponding to the predicted value. The AI (70) determines at least one machine learning model among the plurality of trained machine learning models based on a result of the evaluation of the accuracy.

Abstract: It is enabled that network load prediction for executing scale-out of an element included in a communication system is started at an appropriate timing. A policy manager (90) determines whether network load prediction is required based on performance index value data and a determination criterion which is based on a usage amount of computer resources. An AI (70) starts network load prediction in response to a determination that the network load prediction is required. After the network load prediction is started, the policy manager (90) determines whether scale-out is required based on a network load prediction result. The policy manager (90), a life cycle manager (94), a container manager (78), and a configuration manager (76) execute scale-out of the element included in the communication system in response to a determination that the scale-out is required.

Abstract: Provided are a router estimation system and a router estimation method which enable accurate estimation of a router in network slices that is a cause of a silent failure. A policy manager (90) extracts, when it is determined that a plurality of function elements have deteriorated in performance in slice communication, a plurality of function elements that are similar to one another in terms of shifts in performance in the slice communication from the plurality of function elements determined to have deteriorated in performance. The policy manager (90) identifies, for each of the plurality of extracted function elements, a group of routers located on a route of the slice communication based on router group data. The policy manager (90) estimates at least one router included in every router group identified for the each of the plurality of extracted function elements to be a router that is a cause of the deterioration of performance of the plurality of extracted function elements.

Abstract: To appropriately determine a trouble occurring in a network. A network system acquires an output obtained when input data including an index acquired from a target network is input to a cause inference model. The cause inference model is one of a plurality of cause inference models. The plurality of cause inference models respectively correspond to a plurality of groups into which a plurality of networks have been classified and are trained based on training data including input data including an index acquired for each corresponding group and ground truth data indicating a cause of a trouble. The input cause inference model corresponds to a group to which the target network of the plurality of networks belongs. The network system executes a process for responding to a trouble that has occurred in the target network based on the output of the trouble cause inference model for the target network.

Abstract: Provided are a performance index value calculation system and a performance index value calculation method which are capable of reducing time and labor for an operation of a communication system. A monitoring management module identifies a specific type of element included in a communication system based on inventory data indicating a current status of a link between elements included in the communication system and on calculation logic data indicating a calculation logic for calculating a performance index value of the specific type of element based on performance index values of an element group linked to the element. The monitoring management module identifies the performance index value of each of a plurality of elements included in the element group linked to the identified specific type of element.

Abstract: An E2EO module stores action data which is linked to a condition relating to a combination of an operation status of a specific type of element and an operation status of another type of element linked to the specific type of element, and which indicates an action to be executed on the specific type of element that satisfies the condition. The E2EO module identifies, based on the current status indicated by the inventory data, a combination of a current operation status of the specific type of element included in the communication system and a current operation status of another type of element linked to the specific type of element. The E2EO module executes, when the identified combination satisfies the condition linked to the action data, the action indicated by the action data on the specific type of element.

Abstract: It is enabled that a status of a communication system is properly determined. A data bus (68) generates a queue in which performance index value data indicating a performance index value of an element included in the communication system is stored. An AI (70) and a policy manager (90) acquire, in response to the performance index value data being enqueued in the queue, a predetermined number of most recent pieces of the performance index value data or the performance index value data of a most recent predetermined period including at least latest performance index value data among the performance index value data stored in the queue, the number of pieces of performance index value data which is acquired being smaller than a maximum number of pieces of the performance index value data that is storable in the queue, and determine the status of the communication system based on the acquired performance index value data.

Abstract: It is enabled that an element included in a communication system is appropriately scaled out. An AI (70) predicts, based on a performance index value before a given reference time point relating to a communication system, a network load in a prediction period from the given reference time point until a predetermined time after the given reference time point. A policy manager (90) determines, in response to the prediction, whether a magnitude of a predicted value of the network load in the prediction period satisfies a given condition. The policy manager (90), a life cycle manager (94), a container manager (78), and a configuration manager (76) execute scale-out of an element included in the communication system when, in the determinations for two or more prediction periods which have different reference time points but at least partially overlap, a predetermined number or more of the determinations are a determination that the condition is satisfied.

Abstract: It is enabled that an element included in a communication system is appropriately scaled out. An AI (70) predicts, based on a performance index value before a given reference time point relating to a communication system, a network load at a plurality of prediction time points included in a prediction period from the given reference time point until a predetermined time after the given reference time point. A policy manager (90) determines, in response to the prediction, for each of the plurality of prediction time points, whether a predicted value of the network load at the prediction time point exceeds a threshold value, which increases as a length of time from the reference time point until the prediction time point increases and which is associated with the prediction time point.

Abstract: Provided are a network service construction system and a network service construction method which are capable of flexibly constructing network services that satisfy various needs. A purchase management module receives service requirement data indicating a service requirement. An E2EO module and an inventory management module identify, based on the service requirement data, a configuration of a functional unit group that achieves a network service. Based on the identified configuration and template data in which the configuration is acceptable as a parameter, a CMaaS module, a service manager module, and a slice manager module identify a construction procedure of the functional unit group. The CMaaS module, the service manager module, the slice manager module, and a container management module construct the functional unit group by executing the identified construction procedure.

Abstract: It is enabled that network load prediction for executing scale-out of an element included in a communication system is started at an appropriate timing. A policy manager (90) determines, based on performance index value data, whether network load prediction is required. An AI (70) starts network load prediction in response to a determination that the network load prediction is required. The policy manager (90) determines, after the network load prediction is started, whether scale-out is required based on a network load prediction result. The policy manager (90), a life cycle manager (94), a container manager (78), and a configuration manager (76) execute scale-out of an element included in the communication system in response to a determination that the scale-out is required.

Abstract: It is enabled that network load prediction for executing scale-out of an element included in a communication system is started at an appropriate timing. A policy manager (90) determines whether network load prediction is required based on performance index value data and a determination criterion which is based on a usage amount of computer resources. An AI (70) starts network load prediction in response to a determination that the network load prediction is required. After the network load prediction is started, the policy manager (90) determines whether scale-out is required based on a network load prediction result. The policy manager (90), a life cycle manager (94), a container manager (78), and a configuration manager (76) execute scale-out of the element included in the communication system in response to a determination that the scale-out is required.

Abstract: Provided are a network service construction system and a network service construction method which are capable of flexibly constructing network services that satisfy various needs. A purchase management module receives service requirement data indicating a service requirement. An E2EO module and an inventory management module identify, based on the service requirement data, a configuration of a functional unit group that achieves a network service. Based on the identified configuration and template data in which the configuration is acceptable as a parameter, a CMaaS module, a service manager module, and a slice manager module identify a construction procedure of the functional unit group. The CMaaS module, the service manager module, the slice manager module, and a container management module construct the functional unit group by executing the identified construction procedure.

Abstract: An E2EO module identifies a monitoring item for which a user is to be provided with a monitoring result. The E2EO module determines, based on the identified monitoring item, an exclusive-use element from an element group including at least one of a software element group that achieves a network service or a hardware element group in which the software element group is implemented. The E2EO module, a configuration management module, and a container management module construct the software element group that achieves the network service in a configuration in which at least the exclusive-use element is exclusively used by the user.