Abstract: An information processing apparatus and method capable of minimizing influences affecting business activities and dynamically changing the configuration of a storage apparatus in response to scale-out of hosts are proposed.

Abstract: An information processing system capable of controlling bursting more appropriately is provided. The information processing system includes: a credit management unit that manages a credit amount for controlling allocation of a resource amount of resources via the bursting with respect to each of a plurality of operation targets; and a bursting management unit that calculates the resource amount to be added via the bursting with respect to each of the plurality of operation targets according to the credit amount managed by the credit management unit and issues an instruction to a storage apparatus to allocate each calculated resource amount to each of the plurality of operation targets.

Abstract: A computer system includes one or more storage devices, and one or more processors. The one or more storage devices store permission management information specifying relations between combinations of an information source and an information type and whether sending information from the information source to an external network system is permitted or prohibited. The one or more processor is configured to receive an information transmission request specifying an information type of first information from a first system of an information source, determine whether sending the first information to outside a network system the first system belongs to is permitted with reference to the permission management information, and select a monitoring/analysis server to receive the first information from the monitoring/analysis servers based on the determination.

Abstract: An information processing apparatus and method capable of minimizing influences affecting business activities and dynamically changing the configuration of a storage apparatus in response to scale-out of hosts are proposed.

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 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: 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: 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: A computer system includes one or more storage devices, and one or more processors. The one or more storage devices store permission management information specifying relations between combinations of an information source and an information type and whether sending information from the information source to an external network system is permitted or prohibited. The one or more processor is configured to receive an information transmission request specifying an information type of first information from a first system of an information source, determine whether sending the first information to outside a network system the first system belongs to is permitted with reference to the permission management information, and select a monitoring/analysis server to receive the first information from the monitoring/analysis servers based on the determination.

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: In a system, such as a cloud, which allows resource allocation to be flexibly changed in a multi-tenant environment, it is necessary to interchange resources between the tenants. Efficient resource coordination for resource allocation cannot be attained by merely adjusting resource allocation amounts or resource usage amounts. In order to address this problem, the present invention selects an optimum allocation method from among a plurality of resource allocation methods including CPU capping, taking into account each period for which resources must be allocated and the manner in which each tenant uses resources, and then coordinates allocation of resources across the entire system using the selected allocation method. This makes it possible to improve the efficiency of resource coordination even in a multi-tenant environment.

Abstract: A management system has a topology display screen of a management target system with an area, where icons of system components are typically displayed in the related art, which is embedded and displayed with a graph of a monitor value of the system component. A band having a predetermined width is displayed to show a relation between system display objects indicating the system components. The width of the band is determined by the number of requests which are transmitted or received by the system components. When a time-sequential graph of the monitor value of a system component is displayed, a vertical bar which can be operated by an input/output device is displayed in the graph. When the operation of the vertical bar is detected, an icon indicating integrity of the management target system at a time indicated by the vertical bar is displayed in the vicinity of the vertical bar.

Abstract: A system management method for a management computer coupled to a computer system, the computer system including a plurality of computers, an operations system being built thereon the computer system, the operations system including a plurality of task nodes each having allocated thereto computer resources, the system management method including: a step of analyzing a configuration of the computer system for specifying a important node, which is an important task node in the operations system; a step of changing an allocation amount of the computer resources allocated to the important node for measuring a load of the operations system; a step of calculating a first weighting representing a strength of associations among the plurality of task nodes based on a measurement result of the load; and a step of specifying a range impacted by a change in the load of the important node based on the calculated first weighting.

Abstract: In a system, such as a cloud, which allows resource allocation to be flexibly changed in a multi-tenant environment, it is necessary to interchange resources between the tenants. Efficient resource coordination for resource allocation cannot be attained by merely adjusting resource allocation amounts or resource usage amounts. In order to address this problem, the present invention selects an optimum allocation method from among a plurality of resource allocation methods including CPU capping, taking into account each period for which resources must be allocated and the manner in which each tenant uses resources, and then coordinates allocation of resources across the entire system using the selected allocation method. This makes it possible to improve the efficiency of resource coordination even in a multi-tenant environment.

Abstract: A storage module holds load information obtained by classifying a load on each of virtual machines into groups depending on a fluctuation characteristic. An allocation schedule creation module predicts the load on each of the virtual machines during a predetermined period based on the load information and a rule defined for each of the groups, determining, for each of the groups, an allocation amount of the physical computing resource to be allocated to at least one of the virtual machines classified into the each of the groups and a time slot for allocation based on the predicted load on each of the virtual machines, and creating a schedule including information on the allocation amount and the time slot that have been determined. A schedule execution module allocates the physical computing resource to each of the virtual machines based on the schedule.

Abstract: A storage module holds load information obtained by classifying a load on each of virtual machines into groups depending on a fluctuation characteristic. An allocation schedule creation module predicts the load on each of the virtual machines during a predetermined period based on the load information and a rule defined for each of the groups, determining, for each of the groups, an allocation amount of the physical computing resource to be allocated to at least one of the virtual machines classified into the each of the groups and a time slot for allocation based on the predicted load on each of the virtual machines, and creating a schedule including information on the allocation amount and the time slot that have been determined. A schedule execution module allocates the physical computing resource to each of the virtual machines based on the schedule.

Abstract: A system management method for a management computer coupled to a computer system, the computer system including a plurality of computers, an operations system being built thereon the computer system, the operations system including a plurality of task nodes each having allocated thereto computer resources, the system management method including: a step of analyzing a configuration of the computer system for specifying a important node, which is an important task node in the operations system; a step of changing an allocation amount of the computer resources allocated to the important node for measuring a load of the operations system; a step of calculating a first weighting representing a strength of associations among the plurality of task nodes based on a measurement result of the load; and a step of specifying a range impacted by a change in the load of the important node based on the calculated first weighting.

Abstract: A computer system comprising computers, wherein the computers include a first computer and second computers for providing resources to a business system. The business system includes a first VM capable of changing its performance by executing scale-out, and a second VMs capable of changing their performance by executing scale-up. The resource optimizing module included in the first computer is configured to: execute first processing for applying resource changing methods that are light in processing load to the active second VM and the standby second VM in a case of detecting an incident of an increase in load on the active second VM; and execute second processing for applying resource changing methods that are heavy in processing load to the active second VM and the standby second VM in a case of increasing the load on the active second VM.

Abstract: Provided is a management system managing a computer system including apparatuses to be monitored. The management system holds configuration information on the computer system, analysis rules and plan execution effect rules. The analysis rules each associates a causal event that may occur in the computer system with derivative events that may occur by effects of the causal event and defines the causal event and the derivative events with types of components in the computer system. The plan execution effect rules each indicates types of components that may be affected by a computer system configuration change and specifics of the effects. The management system identifies a first event that may occur when a first plan changing the computer system configuration is executed using the plan execution effect rules and the configuration information, and identifies a range where the first event affects using the analysis rules and the configuration information.

Abstract: A management system has a topology display screen of a management target system with an area, where icons of system components are typically displayed in the related art, which is embedded and displayed with a graph of a monitor value of the system component. A band having a predetermined width is displayed to show a relation between system display objects indicating the system components. The width of the band is determined by the number of requests which are transmitted or received by the system components. When a time-sequential graph of the monitor value of a system component is displayed, a vertical bar which can be operated by an input/output device is displayed in the graph. When the operation of the vertical bar is detected, an icon indicating integrity of the management target system at a time indicated by the vertical bar is displayed in the vicinity of the vertical bar.