Abstract: A management computer manages a data processing infrastructure including a server that executes a job and a storage device that is coupled to the server via a network and stores data used for processing in accordance with the job. The management computer includes a disc and a CPU. The disc stores maximum resource amount information, path information, and load information. The CPU computes a free resource amount of components forming a path to data related to execution of a predetermined job, based on the maximum resource amount information, the path information, and the load information and determines a parallelizable number in a parallel executable processing unit when the predetermined job is executing in the server, based on the free resource amount.

Abstract: To support appropriate selection of a configuration of a cloud system. A computer system includes a processor 111, a storage apparatus 112 and an input/output apparatus 141, the storage apparatus 112 stores at least configuration condition information 132 indicating evaluation values for system configurations that can be constructed on cloud, the input/output apparatus 141 accepts a configuration request indicating a condition for a system configuration to be constructed on the cloud, the processor 111 obtains an evaluation value corresponding to the configuration request, compares the evaluation value corresponding to the configuration request with the evaluation values of the configuration condition information and determines a candidate for a system configuration to be proposed on the basis of a result of the comparison, and the input/output apparatus 141 outputs the candidate for the system configuration to be proposed.

Abstract: A management method includes accessing API interfaces and collecting data related to primary volumes, remote copy volumes, and shared upload volumes, generating order topology related to the primary, remote copy, and shared upload volumes, calculating a set P of the primary volumes storing data to be deleted and specifying a set Vd of the remote copy volumes directly related to the set P in the order topology, calculating, as a set C, all of the shared upload volumes related to the set P in the order topology and specifying a set Vi of all of the remote copy volumes related to the set C in the order topology, calculating a set Vid as the complementary set of the set Vd in the set Vi, and specifying a set Pid of the primary volumes one level higher than the set Vid in the order topology.

Abstract: An arrangement combination of a backup repository satisfying an arrangement constraint rule is calculated based on business system configuration information related to a configuration of a business system server included in a management target, backup repository configuration information which is information related to a configuration of a repository server for storing the backup data, input backup setting information, and the arrangement constraint rule for determining an arrangement of backup data according to a backup purpose, Estimated are a processing time of predetermined backup for an arrangement of the backup repository and a processing time of predetermined restoration for an arrangement of the backup repository and a restoration purpose.

Abstract: A computer system is coupled to a database management system for managing data, and an infrastructure system for managing storage areas of the data. The computer system is configured to: receive a tracking request including identification information of target data; calculate, based on information on the data managed by the database management system, a data duration period of the target; identify, based on configuration history information on a configuration of the storage areas, a first storage area which is provided to the database management system for the data duration period and which stores the target data; and execute, based on the data duration period and history of copying operation of the storage areas of the infrastructure system, with the first storage area as an originating point, tracking processing for tracking a second storage area in which the target data is stored by the copying operation.

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: 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: 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: 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: 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: 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 substrate processing apparatus includes multiple first substrate processing devices, one or more second substrate processing devices and a transfer unit. Each of the multiple first substrate processing devices is configured to process a substrate one by one. The one or more second substrate processing devices are configured to simultaneously process multiple substrates, which are processed in the multiple first substrate processing devices. The transfer unit is configured to simultaneously carry the multiple substrates, which are processed in the multiple first substrate processing devices, into a same second substrate processing device.

Abstract: An arithmetic operation method includes: a simultaneous execution quantity calculation step of calculating a simultaneous execution quantity of the subtasks at each time of day on the basis of resources used by each of the subtasks and available resources at each time of day; an inexpensive remaining quantity calculation step of creating an inexpensive executability table indicating an inexpensive remaining quantity that is a quantity of tasks which may be executed by the inexpensive execution unit at each time of day on the basis of a completion date and time when the arithmetic operations of the plurality of subtasks should be completed, and the simultaneous execution quantity; and an execution instruction step of causing each of the subtasks to be executed by either the inexpensive execution unit or the expensive execution unit with reference to the inexpensive executability table.

Abstract: A management computer manages a data processing infrastructure including a server that executes a job and a storage device that is coupled to the server via a network and stores data used for processing in accordance with the job. The management computer includes a disc and a CPU. The disc stores maximum resource amount information, path information, and load information. The CPU computes a free resource amount of components forming a path to data related to execution of a predetermined job, based on the maximum resource amount information, the path information, and the load information and determines a parallelizable number in a parallel executable processing unit when the predetermined job is executing in the server, based on the free resource amount.

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 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: 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: An observation apparatus includes a first intensity modulation section arranged on an optical path of illumination light with which an observation object is to be irradiated, the first intensity modulation section modulating an intensity distribution of the illumination light, and a second intensity modulation section arranged on an optical path of observation light from the observation object irradiated with the illumination light, the second intensity modulation section modulating an intensity distribution of the observation light.

Abstract: A system includes an imaging optical system that forms an optical image of an observed object; a control apparatus that switches between a superresolution observation mode and a normal observation mode; and a rotatable disk located at a position conjugate to a front focal position of the imaging optical system and having a plurality of apertures. The imaging optical system changes a projection magnification of an intermediate image that is a point image of a portion of the observed object that is formed on the disk. The control apparatus sets, during the superresolution observation mode, the projection magnification in a manner such that the intermediate image becomes at least twice as large as the apertures and sets, during the normal observation mode, the projection magnification in a manner such that the projection magnification becomes lower than the projection magnification in the superresolution observation mode.