Hitachi, Ltd.

Olympus Corporation

Olympus Optical Company, Ltd.

Sony Corporation

Toyota Jidosha Kabushiki Kaisha

Matsushita Electric Industrial Co., Ltd.

Aisin Aw Co., Ltd.

Fujitsu Ten Limited

Hitachi Vantara Corporation

Other

Mitsubishi Heavy Industries Limited

Evident Corporation

Saturn Licensing LLC

Hitachi Electronics Engineering Co., Ltd.

Shinichi Hayashi

Yusuke Sakai

Shingo Tsurumi

Satoshi Kaneko

Yuichi Taguchi

Hironobu Sugimoto

Akimasa Nanba

Kiyomi Wada

Akihito Tada

Asako Tadenuma

Toshiaki Egawa

Tomohiko Gotoh

Kaori Nakano

Yuichi Iida

Tomohiro Kawaguchi

Haruo Oba

Takeshi Kato

Kenichi Okada

Katsunori Suzuki

Toshio Otani

Jun Okitsu

Junichi Tsukamoto

Eijiro Mori

Junji Ooi

Yoko Shiga

Toshiyuki Kaneiwa

Akira Deguchi

Katsunori Tanaka

Tadakatsu Nakajima

Takashi Tameshige

Tomohiro Morimura

Yutaka Miyajima

Katsumi Ouchi

Akira Kono

Syusaku Yamamoto

Nobuaki Ozaki

Masatoshi Tominaga

Avais Ahmad

Daijiro Sakuma

Takeshi Hashimoto

Tatsuya Saito

Norio Shimozono

Takashi Yoneyama

Kenji Maio

Daisuke Nishiwaki

Keiichi Matsuzawa

Masao Hotta

Takaki Matsushita

Mineyoshi Masuda

Hiroaki Sekiyama

Kazuki Matsugami

Shingo Kashima

Kazuya Tateishi

Hideho Yamamura

Yosuke Himura

Atsumi Terayama

Yasuhiro Kamihara

Toshihiro Hananoi

Yoshiji Fujimoto

Shozo Kadota

Nobuya Niizaki

Yuya Miyazono

Kazuya Katsuki

Junji Oi

Michio Yasuda

Yusuke Funaya

Hirofumi Takatsuka

Junichi Kitagawa

Takashi Saitoh

Jana Backhus

Hiroyoshi Jutori

Yuuichi Iida

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.

Scaling system and calculation method

To support appropriate selection of a configuration of a cloud system. A computer system includes a processor, a storage apparatusand an input/output apparatus, the storage apparatusstores at least configuration condition informationindicating evaluation values for system configurations that can be constructed on cloud, the input/output apparatusaccepts a configuration request indicating a condition for a system configuration to be constructed on the cloud, the processorobtains 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 apparatusoutputs the candidate for the system configuration to be proposed.

Recommendation of candidate system configuration to be constructed on a cloud based on configuration request

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.

Observation apparatus

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.

Microscope apparatus

A first node performs copy (virtual copy) of address mapping between a virtual volume and a pool to a first virtual volume to create a third virtual volume in the first node. A second node performs mapping from a first pool volume in the second node to the third virtual volume in the first node, links an address of the first pool volume, which is mapped to the third virtual volume, to an address of a second virtual volume in the second node on a one-to-one basis, and performs log-structured write of the data in the second virtual volume to a second pool volume in the second node.

Storage system and memory control method

An arithmetic operation method in which data processing can be executed no later than a designated date and time upon consideration of a forced stoppage of tasks. The method includes: a simultaneous execution quantity calculation step of calculating a simultaneous execution quantity of the subtasks based on 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 of the inexpensive or expensive execution units.

Arithmetic operation method and arithmetic operation instruction system

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.

Computer system, method of tracking lineage of data, and non-transitory computer-readable medium

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.

Management method

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.

Management computer, management system, and recording medium

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. The combination in which the processing times of the backup and the restoration satisfy a target backup completion time and a target restoration processing time included in the input backup setting information is derived among arrangement combinations of the backup repository.

Backup management system, management calculator, and non-temporary computer-readable recording medium

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.

Management system, method for management by management system, and recording medium

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.

Redundancy determination system and redundancy determination method

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.

Entity relationship estimation apparatus, entity relationship estimation method, and recording medium

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.

Method and device of predicting inter-volume copy time based on inter-pool copy speed

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.

Computer system and scale-out method of computer system

Growing community of inventors

Tokyo, Japan

Shinichi Hayashi