Abstract: An inter-volume copy time is to be accurately predicted. An operation management system is configured to perform operation management on a storage device including a plurality of resources and a plurality of volumes. In the storage device, IO processing and copy processing are performed between a plurality of volume groups in which the plurality of volumes are collected. The operation management system includes a processor, and the processor is configured to predict an inter-pool copy speed between the plurality of volume groups belonging to a same resource pool in the storage device, and predict an inter-volume copy time based on the predicted inter-pool copy speed.

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: A filler-containing film has a structure in which fillers are held in a binder resin layer. The average particle diameter of the fillers is 1 to 50 ?m, the total thickness of the resin layer is 0.5 times or more and 2 times or less the average particle diameter of the fillers, and the ratio Lq/Lp of, relative to the minimum inter-filler distance Lp at one end of the filler-containing film in a long-side direction, a minimum inter-filler distance Lq at the other end at least 5 m away from the one end in the film long-side direction is 1.2 or less. The fillers are preferably arranged in a lattice form.

Abstract: A microscope apparatus includes an illumination optical system that illuminates a sample, an observation optical system that guides light from the sample, and an intensity modulator that is provided in a pupil of the observation optical system or a position optically conjugate with the pupil and reduces light incident on the intensity modulator. The light utilization rate distribution as an intensity transmittance distribution of the intensity modulator in the pupil or in an image of the pupil monotonously increases or monotonously decreases in a first direction. The light utilization rate distribution varies on both sides of a center of an optical axis.

Abstract: A filler-containing film has a structure in which fillers are held in a binder resin layer. The average particle diameter of the fillers is 1 to 50 ?m, the total thickness of the resin layer is 0.5 times or more and 2 times or less the average particle diameter of the fillers, and the ratio Lq/Lp of, relative to the minimum inter-filler distance Lp at one end of the filler-containing film in a long-side direction, a minimum inter-filler distance Lq at the other end at least 5 m away from the one end in the film long-side direction is 1.2 or less. The fillers are preferably arranged in a lattice form.

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: With respect to each of one or more entities, a computer sets a sum of an upper-limit NW send quantity and an upper-limit write quantity to a level equal to or lower than an allocation send quantity that is a send quantity allocated for the entity concerned. With respect to each of the one or more entities, the upper-limit NW send quantity is an upper-limit value of the NW send quantity that is the quantity of data to be sent per unit time via an NW I/F of the computer. With respect to each of the one or more entities, an upper-limit write quantity is an upper-limit value of a write quantity that is the quantity of data to be written per unit time to a logical volume recognized by the entity concerned.

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: The present invention provides a cloud usage assisting apparatus which assists determination of an optimal cloud usage configuration. The cloud usage assisting apparatus calculates changes in performance and cost of a service which are to occur when each of actions is executed and a configuration change is made, based on menu information, storage resource configuration information, and monitoring information, each of the actions being an action in which at least one of the configuration changes of changing of a menu of the storage service involving one cloud, changing of the menu involving different clouds, and changing of a parameter that changes the configurations of the storage resources in the menu are executed on storage resources provided by one or more clouds, and determines the action as a recommended candidate when the action improves at least one of the performance and the cost.

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: The Web client includes: a component group searching unit which searches for a component group including a plurality of components that are aggregable as a same group among the plurality of components to be a display target; a display information arranging unit which arranges a display area for display information with respect to the searched component group and pieces of display information with respect to components that do not belong to the component group on a prescribed screen such that the display area and the pieces of display information of the components that do not belong to the component group do not overlap with each other; an in-group arranging unit which arranges pieces of display information with respect to the plurality of components included in the component group so as not to overlap with each other in the display area for display information with respect to the component group.

Abstract: Volume deployment is optimized while adopting layering corresponding to IO density is adopted. A storage management apparatus calculates remaining IO density based on an amount of remaining IOPS and an amount of a remaining capacity in IOPS and a capacity that are providable by a node, the remaining IOPS and the remaining capacity being not allocated to any volume, controls the layers of the node based on the remaining IO density, selects a node on which a volume is to be deployed based on the difference between the IO density of a deployment target volume and the remaining IO density of the node, and determines a node having the smallest difference between the IO density of the deployment target volume and the remaining IO density of the node in the selection of the node as a deployment destination of the volume.

Abstract: A performance analysis method of a computer system using a management computer. The management computer includes: a processor; and a memory device in which a program to be executed by the processor is stored. The computer system is constituted by a plurality of resources. The processor divides the plurality of resources into a plurality of resource groups based on a correlation of changes in performance data between the resources, and analyzes the performance data for each of the divided resource groups.

Abstract: A resource allocation system calculates a performance ratio and a cost for each of a plurality of service tiers. For each of the service tiers, the performance ratio is a ratio of the intended performance to an agreement performance, the agreement performance is a performance that serves as a reference performance of the service tier, the intended performance is a performance calculated for the service tier, and the cost is based on a used capacity of an allocated storage resource among the storage resources belonging to the service tier. The system displays a service tier map that has an axis corresponding to the performance ratio and a second axis orthogonal to the axis and corresponding to the cost. A display object is placed, for each service tier, at a position according to the calculated performance ratio and the calculated cost of the service tier on the service tier map.

Abstract: When migrating an IT system between clouds, a cost presentation apparatus calculates costs of a VM and a virtual disk in each configuration obtained by combining a VM type, a migration destination cloud, a VM deployment destination, and a virtual disk deployment destination and displays a relationship between the cost of the VM and the virtual disk in each of the configurations and activation time (VM uptime) of the VMs and displays, on a GUI, the activation time of the VM in the configuration.

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 cationically polymerizable anisotropic conductive film is provided. The cationically polymerizable anisotropic conductive film includes an alicyclic epoxy compound and achieves storage life property better than known anisotropic conductive films while ensuring curing temperature and connection reliability equivalent to known anisotropic conductive films. The anisotropic conductive film contains a binder composition containing a film forming component and a cationically polymerizable component, a cationic polymerization initiator, and conductive particles. The anisotropic conductive film contains a quaternary ammonium salt-based thermal acid generator as a cationic polymerization initiator and an alicyclic epoxy compound and a low polarity oxetane compound as a cationically polymerizable component.

Abstract: A system includes a first processing unit that executes a first planning algorithm to evaluate a migration destination resource based on a difference between performance of a migration target resource and reference performance and output a first solution as a migration destination resource state string that indicates a configuration and performance of the migration destination resource that is evaluated as a migration destination, a second processing unit that executes a second planning algorithm to output a second solution according to a mathematical programming method as the migration destination resource state string for the evaluated migration destination resource and uses the first solution to correct the second solution, and a third processing unit that outputs, between the first solution satisfying a time limit and the corrected second solution, a solution in which quality of the resource configuration change plan is estimated and an evaluation value of the plan meets a condition.

Abstract: The Web client includes: a component group searching unit which searches for a component group including a plurality of components that are aggregable as a same group among the plurality of components to be a display target; a display information arranging unit which arranges a display area for display information with respect to the searched component group and pieces of display information with respect to components that do not belong to the component group on a prescribed screen such that the display area and the pieces of display information of the components that do not belong to the component group do not overlap with each other; an in-group arranging unit which arranges pieces of display information with respect to the plurality of components included in the component group so as not to overlap with each other in the display area for display information with respect to the component group.