Abstract:
Visibility of relevance of detailed configurations is improved while deterioration of the visibility of a general configuration between nodes is suppressed. A node coordinate calculation process calculates, upon calculation of deployment coordinates of each node, a degree of importance of an infrastructure resource and a degree of importance of an application, and weights the distance between the application node and the infrastructure node with the reciprocal of the degree of importance of the infrastructure node. Then, the node coordinate calculation process determines deployment of the application node such that the application node is deployed in the proximity of a comparatively important infrastructure node, and determines deployment of the application node on the basis of the degrees of importance of the applications such that a comparatively important application is deployed closely to the infrastructure node.
Abstract:
A support apparatus and method are capable of facilitating work to optimize deployment locations of information processing resources and are respectively allocated to one or more allocation targets. A deployment location candidate is calculated, which is an appropriate deployment location of each of the information processing resources allocated to each of the allocation targets, and a reducible cost is determined when the information processing resource is allocated to the deployment location candidate, with respect to each information processing resource. The reducible cost is displayed when the deployment of the information processing resource allocated to the allocation target is optimized, and the importance of the allocation target is determined by associating the reducible cost with the importance of the allocation target with respect to each allocation target on the basis of the calculation result of the reducible cost for each information processing resource.
Abstract:
A memory stores first configuration information indicating a plurality of logical storage areas and a first condition defining a state of a storage apparatus as a trigger for the storage apparatus to move data. A CPU acquires: a second condition defining a state of a computer as a trigger for the computer to move a first object, which is stored in a first logical storage area among the plurality of logical storage areas and performed by the computer, to another one of the plurality of logical storage areas; second configuration information associating the first object and the first logical storage area; first state information indicating a state of the plurality of logical storage areas; and second state information indicating a state of the first object. If a state of performing data movement is set, the CPU identifies a cause of the state of performing the data movement.
Abstract:
A memory stores first configuration information indicating a plurality of logical storage areas and a first condition defining a state of a storage apparatus as a trigger for the storage apparatus to move data. A CPU acquires: a second condition defining a state of a computer as a trigger for the computer to move a first object, which is stored in a first logical storage area among the plurality of logical storage areas and performed by the computer, to another one of the plurality of logical storage areas; second configuration information associating the first object and the first logical storage area; first state information indicating a state of the plurality of logical storage areas; and second state information indicating a state of the first object. If a state of performing data movement is set, the CPU identifies a cause of the state of performing the data movement.
Abstract:
Power demand at each base is adjusted so as to improve a renewable energy utilization ratio at all bases. An inter-base workload control system manages an amount of excess power obtained by subtracting a power supply amount of the renewable energy power supply from a power consumption amount associated with execution of a workload in a future time range at the bases, spatial migratable time range information on a spatial migratable time range where spatial migration of migrating the workload in a future time range at the bases to another base is possible and temporal migratable time range information on temporal migration of delaying execution of the workload in the future time range at the bases within the same base and migrating the workload to another time range and a predicted amount of power consumption through execution of the workload in the future time range at the bases.
Abstract:
To reduce a power surplus of fluctuating renewable energy. Data center candidate management information indicates a characteristic of renewable energy supplied to each data center candidate. Application program type candidate management information indicates a characteristic of each application program type candidate. The system determines, with reference to the data center candidate management information and the application program type candidate management information, a plurality of combinations each including one or more data center candidates and one or more application program type candidates, determines a score of each combination based on a characteristic of renewable energy supplied to each of the one or more data center candidates and a characteristic of each of the one or more application program type candidates, and selects, based on the score, a combination to be presented.
Abstract:
Provided is a management system for managing a relation between a database and a volume without installing an agent. A management system manages a relation between a data catalog and a volume of a storage system storing data to be used by the data catalog. A processor of the management system accesses data that is included in the data catalog and that includes authentication information of the volume; detects the number of accesses to the volume in a time range including a timing of the access to the data; and manages the relation between the data catalog and the volume on the basis of the number of accesses.
Abstract:
Easy and correct estimation of a relationship between entities is made possible. An entity relationship estimation apparatus that estimates a relationship between a plurality of entities each executing a process is configured to include: a window-based correlation and traffic volume estimation unit that acquires traffic data of a plurality of entities, and calculates correlation values in one or more windows of a predetermined time width of each traffic data of at least one entity pair; and a relationship type estimation unit that estimates a type of relationship between entities of the entity pair based on the correlation values of the windows of the entity pair.
Abstract:
In a burstable instance recommendation server including a processor, and providing information on a burstable instance provided by a public cloud, the burstable instance being a candidate to which a predetermined instance under utilization is migrated, the processor identifies a first candidate burstable instance provided by the public cloud based on performance time series data of the instance under utilization. The processor calculates high load performance time series data in which occurrence of a load higher than in the performance time series data is estimated on the identified first candidate burstable instance, and the processor calculates a penalty in case of the high load performance time series data. The processor recognizably displays a cost of the first candidate burstable instance and the penalty.
Abstract:
Visibility of relevance of detailed configurations is improved while deterioration of the visibility of a general configuration between nodes is suppressed. A node coordinate calculation process calculates, upon calculation of deployment coordinates of each node, a degree of importance of an infrastructure resource and a degree of importance of an application, and weights the distance between the application node and the infrastructure node with the reciprocal of the degree of importance of the infrastructure node. Then, the node coordinate calculation process determines deployment of the application node such that the application node is deployed in the proximity of a comparatively important infrastructure node, and determines deployment of the application node on the basis of the degrees of importance of the applications such that a comparatively important application is deployed closely to the infrastructure node.