Abstract: A network monitoring apparatus includes: a memory; and a processor coupled to the memory, the processor being configured to execute a grouping control processing that includes specifying, based on a slice/service type and priority information of a data flow, a group to which the data flow belongs, and allocating a same network slice to a plurality of data flows included in a same group, and execute a slice control processing that includes controlling an edge node of the network slice, based on grouping control information generated by the grouping control processing.

Abstract: Training data including a first and second group of questions each associated with an answer is read into memory by a computer. A class of answers including the answer to a question for each question is determined, where each class of answers has a class label that is associated with each of the questions, and each of the questions are classified into a respective class of answers, accordingly. First and second training data is generated including the first and second groups of questions and corresponding classes of answers for use in first and second classifiers, respectively. Each question of the first and second group of questions is classified by the second and first classifiers, respectively, where the classifying generates corresponding classification results. The first or second training data is updated based on the classification results to generate corresponding updated first or second training data, respectively.

Abstract: Training data including a first and second group of questions each associated with an answer is read into memory by a computer. A class of answers including the answer to a question for each question is determined, where each class of answers has a class label that is associated with each of the questions, and each of the questions are classified into a respective class of answers, accordingly. First and second training data is generated including the first and second groups of questions and corresponding classes of answers for use in first and second classifiers, respectively. Each question of the first and second group of questions is classified by the second and first classifiers, respectively, where the classifying generates corresponding classification results. The first or second training data is updated based on the classification results to generate corresponding updated first or second training data, respectively.

Abstract: Training data including a first and second group of questions each associated with an answer is read into memory by a computer. A class of answers including the answer to a question for each question is determined, where each class of answers has a class label that is associated with each of the questions, and each of the questions are classified into a respective class of answers, accordingly. First and second training data is generated including the first and second groups of questions and corresponding classes of answers for use in first and second classifiers, respectively. Each question of the first and second group of questions is classified by the second and first classifiers, respectively, where the classifying generates corresponding classification results. The first or second training data is updated based on the classification results to generate corresponding updated first or second training data, respectively.

Abstract: Training data including a first and second group of questions each associated with an answer is read into memory by a computer. A class of answers including the answer to a question for each question is determined, where each class of answers has a class label that is associated with each of the questions, and each of the questions are classified into a respective class of answers, accordingly. First and second training data is generated including the first and second groups of questions and corresponding classes of answers for use in first and second classifiers, respectively. Each question of the first and second group of questions is classified by the second and first classifiers, respectively, where the classifying generates corresponding classification results. The first or second training data is updated based on the classification results to generate corresponding updated first or second training data, respectively.

Abstract: Training data including a first and second group of questions each associated with an answer is read into memory by a computer. A class of answers including the answer to a question for each question is determined, where each class of answers has a class label that is associated with each of the questions, and each of the questions are classified into a respective class of answers, accordingly. First and second training data is generated including the first and second groups of questions and corresponding classes of answers for use in first and second classifiers, respectively. Each question of the first and second group of questions is classified by the second and first classifiers, respectively, where the classifying generates corresponding classification results. The first or second training data is updated based on the classification results to generate corresponding updated first or second training data, respectively.

Abstract: Training data including a first and second group of questions each associated with an answer is read into memory by a computer. A class of answers including the answer to a question for each question is determined, where each class of answers has a class label that is associated with each of the questions, and each of the questions are classified into a respective class of answers, accordingly. First and second training data is generated including the first and second groups of questions and corresponding classes of answers for use in first and second classifiers, respectively. Each question of the first and second group of questions is classified by the second and first classifiers, respectively, where the classifying generates corresponding classification results. The first or second training data is updated based on the classification results to generate corresponding updated first or second training data, respectively.

Abstract: A load-distribution-process-server includes: a memory; and a processor coupled to the memory and the processor configured to: receive a first execution request of a work flow including a plurality of process components each serving as a process execution unit and representing an execution sequence of the process components; execute the process components designated by the first execution request; select one load-distribution-process-server to execute a subsequent process component from a plurality of load-distribution-process-servers, based on a load condition of a first load-distribution-process-server and load conditions of second load-distribution-process-servers capable of processing the subsequent process component; and when the selected one load-distribution-process-server is one of the second load-distribution-process-servers, transmit a second execution request including an identifier of the work flow, transfer information of the work flow according to processes executed prior to the subsequent proces

Abstract: A graphical policy interface architecture may enable simplified graphical development of customized policy logic for software controllers to control network services, connections, and devices. The policy logic based on graphical policy logic notation may be compiled and installed at run-time into a software controller.

Abstract: Training data including a first and second group of questions each associated with an answer is read into memory by a computer. A class of answers including the answer to a question for each question is determined, where each class of answers has a class label that is associated with each of the questions, and each of the questions are classified into a respective class of answers, accordingly. First and second training data is generated including the first and second groups of questions and corresponding classes of answers for use in first and second classifiers, respectively. Each question of the first and second group of questions is classified by the second and first classifiers, respectively, where the classifying generates corresponding classification results. The first or second training data is updated based on the classification results to generate corresponding updated first or second training data, respectively.

Abstract: Training data including a first and second group of questions each associated with an answer is read into memory by a computer. A class of answers including the answer to a question for each question is determined, where each class of answers has a class label that is associated with each of the questions, and each of the questions are classified into a respective class of answers, accordingly. First and second training data is generated including the first and second groups of questions and corresponding classes of answers for use in first and second classifiers, respectively. Each question of the first and second group of questions is classified by the second and first classifiers, respectively, where the classifying generates corresponding classification results. The first or second training data is updated based on the classification results to generate corresponding updated first or second training data, respectively.

Abstract: A graphical policy interface architecture may enable simplified graphical development of customized policy logic for software controllers to control network services, connections, and devices. The policy logic based on graphical policy logic notation may be compiled and installed at run-time into a software controller.

Abstract: A load-distribution-process-server includes: a memory; and a processor coupled to the memory and the processor configured to: receive a first execution request of a work flow including a plurality of process components each serving as a process execution unit and representing an execution sequence of the process components; execute the process components designated by the first execution request; select one load-distribution-process-server to execute a subsequent process component from a plurality of load-distribution-process-servers, based on a load condition of a first load-distribution-process-server and load conditions of second load-distribution-process-servers capable of processing the subsequent process component; and when the selected one load-distribution-process-server is one of the second load-distribution-process-servers, transmit a second execution request including an identifier of the work flow, transfer information of the work flow according to processes executed prior to the subsequent proces

Abstract: A computer-implemented method of processing information executed by a processor included in an information processing apparatus, the method includes executing, with the processor, a first workflow including a determination processing to determine whether there is a second workflow to be used after the first workflow; determining whether there is the second workflow in the determination processing; switching from the first workflow to the second workflow by starting the second workflow and terminating the first workflow, when determining that there is the second workflow; and providing the second workflow to a terminal device.

Abstract: A packet distribution system includes: a first transfer device that is placed on a boundary of a core network and near first and second terminal devices; a second transfer device that is placed on the boundary of the core network and near a content distribution device; and a control device that, when a first content packet is distributed to the first terminal device, a distribution request packet is transmitted from the second terminal device, and a second content packet newly distributed from a content distribution device to the second terminal device is detected by the second transfer device, causes the second transfer device to abandon the second content packet based on control information included in the second content packet, and causes the first transfer device to copy the first content packet distributed to the first terminal device, to the second terminal device.

Abstract: A monitoring apparatus includes a storage and a processor. The storage stores collecting apparatus information for identifying one of a plurality of collecting apparatuses collecting status information of a network. The processor acquires status information of the network from a network apparatus connected to the network. The processor acquires, from a database, collecting apparatus information for identifying each of the plurality of collecting apparatuses. The processor acquires, based on the acquired collecting apparatus information, load information indicating a load on each of the plurality of collecting apparatuses. The processor selects, based on the acquired load information, one collecting apparatus among the plurality of collecting apparatuses, to which the monitoring apparatus transmits the acquired status information. The processor stores collecting apparatus information for identifying the selected collecting apparatus in the storage.

Abstract: A processing apparatus includes: an address converter configured to return an address in response to a search request from a server; and a substitute controller configured to control the address converter to return a first address in response to a first search request from a first server when the address converter has not received a second search request for a second address from a second server, and return the second address in response to the first search request from the first server when the address converter has received a second search request for the second address from the second server.

Abstract: A packet distribution system includes: a first transfer device that is placed on a boundary of a core network and near first and second terminal devices; a second transfer device that is placed on the boundary of the core network and near a content distribution device; and a control device that, when a first content packet is distributed to the first terminal device, a distribution request packet is transmitted from the second terminal device, and a second content packet newly distributed from a content distribution device to the second terminal device is detected by the second transfer device, causes the second transfer device to abandon the second content packet based on control information included in the second content packet, and causes the first transfer device to copy the first content packet distributed to the first terminal device, to the second terminal device.

Abstract: An editing apparatus efficiently performs cooperative editing of a document. Multiple users can edit a document in parallel using the editing apparatus which includes a screen output section, an editing screen, a section for receiving, a selection input section for inputting, and an update section for reflecting the edited content selected by a selection instruction, and updating the document.

Abstract: A processing apparatus, including: a query statistics unit which inputs a query request for querying a destination for first telephone number, and counts the number of input query requests; and a restriction control unit which transmits to a restriction control apparatus which performs outgoing call restriction, a restriction request to restrict a telephone call by second telephone number, when the counted number of the query requests is equal to or greater than a restriction start threshold, wherein the telephone call by the second telephone number is restricted by transmission of the restriction request, and a telephone call by the first telephone number is performed.