Abstract:
A management server assigns identifiers unique to a service system to components used to build the service system, and records connections between the components assigned the identifiers associated with a time of the building the service system. When detecting a change in the connections of the components included in the service system, the management server records the changed connection associated with a time of the change of the connection, collects monitoring information indicating operation conditions of the components and monitoring times from a data center, and records the monitoring information associated with the monitoring times. When receiving information designating a time from the management terminal, the management server identifies and outputs the configuration of service system and the monitoring information at the designated time based on the identifiers of the components associated with the designated time.
Abstract:
A management server which manages a tenant pattern being information for forming a tenant being an application system for executing a predetermined application by using computer resources within a computer system, the tenant pattern including a configuration item and an ID pool, the management server having: pattern parts information for managing the configuration item as a pattern part that forms the tenant pattern; validation rule information for storing a detail of validation processing for a composition of the tenant pattern; and the management server further comprising: a tenant pattern generation unit; a tenant designing unit for designing a composition of the tenant, and generating a configuration detail for actually building the tenant on the computer system; and a validation execution unit for executing the validation processing for the tenant pattern and the configuration detail based on the validation rule information.
Abstract:
The failure isolation method includes: a first step of performing a predetermined action for the monitoring target, collecting a failure event which is a result of the action, applying the failure event to a failure cause analysis rule, and narrowing down the root cause events together with certainty factors; a second step of determining whether the root cause event and the certainty factor narrowed down in the first step satisfy a predetermined requirement and whether the narrowing-down has been completed; and a third step of, when it is determined in the second step that the narrowing-down has not been completed, performing a predetermined additional action for the monitoring target, collecting an additional failure event which is a result of the additional action, applying the additional failure event to the failure cause analysis rule, and narrowing down the root cause events together with the certainty factors.
Abstract:
The model improvement support system makes a determination, for each of one or more datasets selected by a model developer from among one or more datasets provided from an application developer and input to the model in utilization of the model, of whether or not the execution condition of the learning/evaluation program for performing learning/evaluation on the model satisfies an execution condition associated with the dataset, wherein the learning/evaluation is at least either of learning and evaluation of the model, and executes the learning/evaluation program with this dataset used as an input to the model if the result of the determination is affirmative.
Abstract:
A management server is adapted to be provided with: a field data managing unit configured to store mobility data of mobility instances; a group possibility degree determining unit configured to execute a predetermined process for improving identification of mobility context, for the mobility data; and a group extracting unit configured to, based on a time distance and a spatial distance between mobility data of one mobility instance and mobility data of another mobility instance, identify mobility context of the one mobility instance after the process is performed.
Abstract:
In a multi-tenant information processing system, when initially constructing a tenant, design items depending on the tenant are specified for each device constituting the tenant, and design values of the design items are calculated without overlapping with those of other tenants. In a tenant design item management table, the design items set for the devices and information indicating whether the design items depend on the tenant, are stored for each device. In a design algorithm management table, calculation formulae for making the design values to be different for each tenant are stored corresponding to the design items. A tenant design unit refers to the tenant design item management table, specifies the design items depending on the tenant among those corresponding to the devices constituting the tenant, calculates the design values of the design items according to the calculation formula, when initially constructing the tenant.
Abstract:
(1) A configuration management in a management server is carried out such that setting patterns regarding creation of plural types of virtual resources and setting patterns regarding connection between the plural types of virtual resources are extracted from setting information of network devices configuring a virtual network by using plural types of virtualization technologies, (2) an ID required for creating a virtual resource and a connection relation between virtual resources are extracted from the extracted setting pattern, (3) an element corresponding to a virtual resource or a connection between a pair of virtual resources is created by using information including the extracted ID, and (4) the elements created from setting information of individual devices are aggregated to thereby create logical topology information representing a topology of the virtual network.
Abstract:
In the information registered by a system, a learning model is associated with a dataset which is one or more dataset elements serving as an input of the learning model, and a dataset is associated with a filter of the dataset. The system evaluates the learning model using a processed dataset which is a dataset obtained on the basis of a dataset associated with an evaluation target learning model and a filter associated with the dataset. The system displays at least a part of information associated with a browsing target learning model and information indicating a result of evaluation of the learning model.
Abstract:
A system for assisting migration between first and second information processing systems includes a table retaining communication information on communication between first nodes constituting the first information processing system; a table retaining a design requirement being a condition for a second node constituting the second information processing system; an identifier configured to identify the communication information on the first node which is to be migrated; a comparator configured to acquire the design requirement associated with the identified communication information; a mapper configured to determine based on the design requirement whether addition or deletion of the second node is necessary or not; and a generator configured to generate tenant design properties based on the determination on whether addition or deletion is necessary or not, the tenant design properties being information necessary for the migration and containing a configuration of the second node constituting the second information processing system.