Abstract: According to one embodiment, a data processing apparatus includes an extraction unit that extracts a candidate for a resource used to provide a service and a candidate for a parameter used to control the resource, from a file in which a content of provision of the service is described, and a designation unit that receives a designation of a resource and a parameter to be used to provide the service among resources and parameters extracted by the extraction unit.

Abstract: A resource determination device according to one embodiment includes: a model storage device that stores a model indicating a relationship among a processing load arranged in a virtual machine, resource arrangement of the virtual machine, and a predicted value of quality when the processing load is arranged in the virtual machine; a determination unit that determines whether or not a predicted value of the quality when it is assumed that a new processing load is arranged in the virtual machine in the model satisfies an appropriate quality requirement; and a control unit that controls change of resource arrangement of the virtual machine such that the predicted value satisfies the appropriate quality requirement when the determination unit determines that the predicted value does not satisfy the appropriate quality requirement.

Abstract: A data processing apparatus according to one embodiment includes: an input unit that receives an input related to a situation when a user who uses a service uses the service; a storage device that stores information indicating a relationship between a situation when the service is used and a requirement related to provision of the service to the user; and a calculation unit that calculates a requirement related to provision of the service to the user on the basis of a result of input by the input unit and the information stored in the storage device.

Abstract: A cytoplasmic male sterile Brassica rapa plant is provided having a growth ability equivalent to that of a Brassica rapa plant having a normal cytoplasm or a progeny of the cytoplasmic male sterile Brassica rapa plant. For example, it is possible to improve the deterioration of growth ability which has been observed in the conventional cytoplasmic male sterile B. rapa plants and provide a cytoplasmic male sterile Brassica rapa plant having an improved growth ability.

Abstract: A validity determination apparatus according to one embodiment includes: circuitry configured to acquire a natural sentence; output a semantic representation by executing semantic parsing with the natural sentence as an input; calculate a first alignment score representing a relationship between input/output tokens of the natural sentence and the semantic representation; calculate a second alignment score of a word unit from a relationship between a token included in the input/output tokens and a word; extract natural sentence content words by executing part-of-speech parsing on the natural sentence; a grammar parser configured to extract semantic representation content words by executing grammar parsing on the semantic representation; and determine whether the semantic representation is valid on the basis of the second alignment score, the natural sentence content words, and the semantic representation content words.

Abstract: A video processing device according to an embodiment includes: a detection unit that detects at least one type of event that is likely to affect a quality of experience of a user for a video displayed by an application program; and a determination unit that determines a degree of influence of the event on the quality of experience for the video on the basis of a result of the detection by the detection unit.

Abstract: A network management device according to an embodiment includes: a path selection processing unit configured to perform path selection processing of selecting a path of a physical layer between a start point and an end point of a network based on a first entity stored in a first storage device configured to store the first entity, the first entity representing an entity of an information object of the network; and an entity generation processing unit configured to perform entity generation processing of generating a second entity of a logical layer corresponding to the path of the physical layer selected by the path selection processing unit based on a specification of the information object stored in a second storage device configured to store the specification.

Abstract: A data processing device of the embodiment includes a storage circuit and a processor. The storage circuit is capable of storing a first template. The processor executes analysis processing on input log data. In the analysis processing, the processor divides the log data into tokens (unigrams), each of the tokens including a word and position information of the word, computes a similarity SIM on the basis of the number of tokens common to the log data and the first template and the number of tokens of the first template, and updates the first template on the basis of the similarity SIM.

Abstract: A management device receives a request for generation of a first entity, and determines whether the first entity needs to consume a resource, on the basis of specification information about the first entity, the specification information being stored in advance. In a case where consumption of a resource is needed, the management device identifies a second entity capable of providing a capacity to be consumed by the first entity, on the basis of entity information that is stored in advance. On the basis of the second entity, the management device determines whether dispensation of the capacity of the resource to be consumed by the first entity is possible, and, if the dispensation is possible, dispenses the capacity to the first entity.

Abstract: A resource determination device according to one embodiment includes a storage unit that stores a model that indicates relationship among resource arrangement of a virtual machine, a plurality of types of processing loads of the virtual machine, and processing performance of the virtual machine, a function derivation unit that derives a function using the resource arrangement as an argument and a processing load having relatively high relevance to the processing performance as a return value, and a determination unit that calculates the processing load in the resource arrangement that is designated on the basis of the function, calculates the processing performance in the designated resource arrangement by inputting the calculated processing load to the model, and determines that the designated resource arrangement is appropriate in a case where the calculated processing performance satisfies a requirement.

Abstract: A resource determination device according to a storage unit configured to store a model indicating a relationship of: a processing load of a virtual machine; a processing performance of the virtual machine; a resource operational status of a physical machine accommodating the virtual machine; and a resource operational status of the virtual machine, with respect to an amount of resources allocated to the virtual machine, and a calculation unit configured to calculate the amount of resources allocated to the virtual machine in a way such that a requirement for the processing performance of the virtual machine and a policy of the resource operational status of the virtual machine are each satisfied based on a monitoring result of the resource operational status of the physical machine accommodating the virtual machine, the processing load of the virtual machine, and the model stored in the storage unit.

Abstract: A time-series data prediction device according to an embodiment acquires a second spatial factor that is a spatial factor related to entire space related to geographically and spatially dispersed time-series data, updates various factors based on time-series data, a spatial model, and a loss function of a temporal model, updates parameters of the space and the temporal model, inputs region data indicating a geographical region related to geographically and spatially dispersed second time-series data to be estimated for future time-series data, acquires a spatial factor that is a spatial factor related to entire space related to the second time-series data, updates various factors based on the second time-series data, the spatial model, and the loss function of the temporal model, updates various factors based on an update result, predicts a future temporal factor, and estimates future time-series data using the predicted temporal factor.

Abstract: Disclosed is a cytoplasmic male sterile plant of the genus Petunia having, in the mitochondrial genome thereof, a DNA molecule originated from the mitochondrial genome of a tobacco plant, or a hybrid plant with the cytoplasmic male sterile plant of the genus Petunia, or a progeny of the cytoplasmic male sterile plant of the genus Petunia or the hybrid plant. The cytoplasmic male sterile plant of the genus Petunia is a stable line in which the growth ability of young seedlings is improved and which is not susceptible to fertility restoration, and further, achieves diversification of available CMS cytoplasms.

Abstract: A network management device according to one embodiment includes a device that stores rules for mapping between a service order and a resource order; a device that stores, when a mapping is performed based on the mapping rules, a mapping history in which an identifier of a service for the service order which is a mapping source, a type of a rule used for the mapping, and an identifier of a resource for the resource order which is a mapping target are described; and a creation unit that, when a service order to change the service is created, acquires, from the mapping history and the identifier of the service to be changed, information indicating types of rules to be used for mapping of the service order to change the service and the identifier of the resource for a resource order which is a mapping target, and creates a resource order by mapping of the order to be changed based on the acquired mapping rules.

Abstract: A virtual desktop (VDI) resource allocation decision apparatus that decides resource allocation of a VDI apparatus according to an embodiment includes an input unit that receives a performance requirement and a specified time zone, a resource allocation collection and storage unit that stores a current resource allocation including a number of virtual machines included in a host of the VDI apparatus and a virtual calculation resource, a workload collection and storage unit that stores a workload of the VDI apparatus, and a calculation function unit that applies the specified time zone and the workload to a workload prediction model to calculate a workload in the specified time zone, applies the workload in the specified time zone and the current resource allocation to a performance model to calculate first performance of the VDI apparatus, and determines whether or not the first performance meets the performance requirement.

Abstract: There is provided a network management device (1) including a capacity management unit (10) for managing the capacity in a network to be managed and a storage unit (20) for storing management information. The storage unit stores specification information of entities included in the network, and entity information including information indicative of relationships between the entities. The capacity management unit 10 includes a capacity request acquisition section (11) which receives a generation request of a first entity; reads the specification information about the first entity from the storage unit, and determines whether or not the first entity needs to consume a resource; when it is determined that the first entity needs to consume a resource, identifies a second entity capable of providing capacity consumed by the first entity, based on the entity information stored in the storage unit; and outputs information about the identification result.

Abstract: A network management apparatus according to an embodiment includes: a storage unit configured to store information indicating a correspondence relationship between information objects related to a physical layer and information objects related to a logical layer in a network configuration, an acquisition unit configured to acquire a first information object related to a location where a failure occurs in the physical layer of the network configuration from the storage unit, an identification unit configured to identify, as a failure influence range, a second information object associated with the first information object related to the location where the failure occurs, of the information objects related to the logical layer stored in the storage unit, the first information object being acquired by the acquisition unit, and an outputting unit configured to output information indicating the failure influence range identified by the identification unit.

Abstract: A network management device according to one embodiment includes a device that stores rules for mapping between a service order and a resource order; a device that stores, when a mapping is performed based on the mapping rules, a mapping history in which an identifier of a service for the service order which is a mapping source, a type of a rule used for the mapping, and an identifier of a resource for the resource order which is a mapping target are described; and a creation unit that, when a service order to change the service is created, acquires, from the mapping history and the identifier of the service to be changed, information indicating types of rules to be used for mapping of the service order to change the service and the identifier of the resource for a resource order which is a mapping target, and creates a resource order by mapping of the order to be changed based on the acquired mapping rules.

Abstract: A service provision method according to one aspect of the present invention includes providing, to a user terminal (107), a catalog including: a first node type for defining a node relating to a VNW (102); a first relationship type for defining a relationship between nodes relating to the VNW (102); a second node type for defining a node relating to an LNW (104); and a second relationship type for defining a relationship between nodes relating to the LNW (104); receiving, from the user terminal (107), a service request generated in accordance with the catalog for requesting a service that uses the HNW (110); and controlling a VNW OpS (103) and an LNW OpS (105) in response to the received service request.

Abstract: To eliminate the need for a resource design process needed by the user in using a machine learning service and thereby reduce the time and costs which impose a burden on the user. A machine learning service device includes a requirement specifying functional unit (11) used to specify a task, a model, throughput, and performance that are desired in machine learning; and a resource design unit (12) configured to predict achievable performance at a plurality of resource settings by machine learning using the task, the model, and the throughput specified via the requirement specifying functional unit and select a resource setting that satisfies the specified performance based on results of the prediction.