Abstract: Provided is a redundancy determination system extending a system on an on-premise data center to a public cloud by using a computer including a processor and a memory, in which the processor performs first processing of deploying the system in a plurality of of sites included in the public cloud when a recovery time objective of the system is less than a build-out time of the system that is calculated on the basis of an operational status of the system, and second processing of deploying the system in one site of the sites included in the public cloud when the recovery time objective of the system is not less than the build-out time.

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: An object of the present invention is to provide a computer system and a scale-out method of the computer system that can reduce the possibility of occurrence of performance deterioration in the case where cloud bursting is executed. In the case where scale-out is executed in a public cloud, a data processing system starts a data copy process of copying data stored in an on-premises first data storage area, to a second data storage area of a storage cluster in the public cloud via a first network. When starting the data copy process, the data processing system executes the scale-out by increasing the number of processing nodes while accessing the data stored in the first data storage area.

Abstract: A scaling system ranges over a first base in which a first calculating apparatus having first and second worker nodes operates, and a second base in which a storage apparatus connected to the first base by a network is set. The storage apparatus includes first and second network ports, and first and second volumes accessed by first and second worker node, respectively. A second calculating apparatus is further set in the first base, and the second worker node is moved to the second calculating apparatus and operates as a third worker node and the second volume communicates with the third worker node through the second network port if the transfer rate of the first calculating apparatus or the transfer rate of the first network port exceeds a predetermined threshold when the first and second volumes are in communication with the first calculating apparatus through the first network port.

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: A storage system includes a plurality of storage systems and an analysis server. The analysis server analyzes and outputs an information of a storage system to another storage system based on information of the storage system and information of the other storage system which cooperates with the storage system.

Abstract: An operation assistance system receives selection of a first procedure in a procedure manual including a plurality of procedures relating to an operation of an operation target. The operation assistance system displays an estimation structure obtained by structuring at least part of the first procedure based on an abstraction structure obtained by structuring a second abstraction procedure included in a first abstraction procedure corresponding to the first procedure and the selected first procedure.

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: It is necessary to allocate sufficient surplus resources to each service in order to maintain a service level of each service, but, as a result, many resources which are not used may be necessary. A resource allocation optimizing system performs, with respect to each of a plurality of services, a predictive judgement which is a determination of whether or not accurate prediction of a workload of the service is able to be anticipated, and controls allocation of a resource to the service on the basis of a result of the predictive judgement. With respect to each service, the predictive judgement is performed on the basis of at least one of (x) time-series measured workloads and time-series predicted workloads in a predefined period for the service and (y) at least one of a measured service level and a predicted service level in the predefined period for the service.

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: An operation assistance system receives selection of a first procedure in a procedure manual including a plurality of procedures relating to an operation of an operation target. The operation assistance system displays an estimation structure obtained by structuring at least part of the first procedure based on an abstraction structure obtained by structuring a second abstraction procedure included in a first abstraction procedure corresponding to the first procedure and the selected first procedure.

Abstract: It is necessary to allocate sufficient surplus resources to each service in order to maintain a service level of each service, but, as a result, many resources which are not used may be necessary. A resource allocation optimizing system performs, with respect to each of a plurality of services, a predictive judgement which is a determination of whether or not accurate prediction of a workload of the service is able to be anticipated, and controls allocation of a resource to the service on the basis of a result of the predictive judgement. With respect to each service, the predictive judgement is performed on the basis of at least one of (x) time-series measured workloads and time-series predicted workloads in a predefined period for the service and (y) at least one of a measured service level and a predicted service level in the predefined period for the service.

Abstract: It is provided an identification apparatus is configured to: obtain, from a first request group, same-type requests which are of the same type as an investigation subject request in a first request group; obtain, other-type requests that have been transmitted from a first apparatus to a second apparatus and a response to which has been transmitted from the second apparatus to the first apparatus, during a processing period; generate, for the investigation subject request and each of the same-type requests; search the generated sets for sets that have the matching other-type requests, and remove one of the found sets; obtain second requests that have been processed by the second apparatus during the processing period from the second request group; calculate, for the investigation subject request and each of the same-type requests after the removal, values of correlation with the obtained second requests.

Abstract: Monitoring apparatus is configured to execute: obtaining pieces of information about access in a first time slot by specifying the first time slot including access to a first apparatus in the system where a response time is long; selecting a feature common to the access in the first time slot from the pieces of information about the access in the first time slot that have been obtained; first extracting from pieces of information about access in a given period of time, pieces of information about access that has the common feature selected as a feature common to the access in the first time slot; and first generating a first graph which shows changes with time in response time, based on the pieces of information about the access having the feature common to the access in the first time slot that have been extracted.

Abstract: A monitoring system for monitoring a service execution infrastructure for providing a service to client computers via a network manages baselines of monitoring values of components per load of the service provided by the infrastructure, and uses the baselines depending on a current service load. When detecting an abnormality of a service monitoring value or component monitoring value by use of the baselines, the monitoring system compares events up to predetermined minutes ago from now with events in the baseline time zone thereby to specify a differential event (or non-normal recent event).

Abstract: A response time of an access to an application is monitored, and, when a trouble may occur, an alert is given to an administrator to reduce a workload on the administrator. A response time of the application is measured, a request in which the response time exceeds a reference value is extracted, and exceeding requests are aggregated in units of predetermined time widths. An interval between adjacent time bands in which the exceeding requests are present is calculated to determine a periodical tendency of occurrence of exceeding. An alert having a level depending on the tendency is output.

Abstract: Monitoring apparatus is configured to execute: obtaining pieces of information about access in a first time slot by specifying the first time slot including access to a first apparatus in the system where a response time is long; selecting a feature common to the access in the first time slot from the pieces of information about the access in the first time slot that have been obtained; first extracting from pieces of information about access in a given period of time, pieces of information about access that has the common feature selected as a feature common to the access in the first time slot; and first generating a first graph which shows changes with time in response time, based on the pieces of information about the access having the feature common to the access in the first time slot that have been extracted.

Abstract: It is provided an identification apparatus is configured to: obtain, from a first request group, same-type requests which are of the same type as an investigation subject request in a first request group; obtain, other-type requests that have been transmitted from a first apparatus to a second apparatus and a response to which has been transmitted from the second apparatus to the first apparatus, during a processing period; generate, for the investigation subject request and each of the same-type requests; search the generated sets for sets that have the matching other-type requests, and remove one of the found sets; obtain second requests that have been processed by the second apparatus during the processing period from the second request group; calculate, for the investigation subject request and each of the same-type requests after the removal, values of correlation with the obtained second requests.

Abstract: A monitoring system for monitoring a service execution infrastructure for providing a service to client computers via a network manages baselines of monitoring values of components per load of the service provided by the infrastructure, and uses the baselines depending on a current service load. When detecting an abnormality of a service monitoring value or component monitoring value by use of the baselines, the monitoring system compares events up to predetermined minutes ago from now with events in the baseline time zone thereby to specify a differential event (or non-normal recent event).

Abstract: A method detects a request higher than the baseline in baseline monitoring and stores the request in an outlier request DB. The method selects a common pattern from requests stored in the outlier request DB, differentiates between a request including the pattern and a request not including the pattern, and monitors them with different baselines as different services.