Abstract: Aspects of the present disclosure involve an innovative method for detecting error zones from a plurality of volume groups. The method may include creating a plurality of probe groups for error detection; detecting a new error associated with the plurality of probe groups and the plurality of volume groups; retrieving error information associated with the new error, wherein the error information comprises an error source, an error type, and an error time; retrieving an error correlation rule associated with the error information; determining if the error correlation rule is satisfied by the error information and information of other known errors; and identifying a common zone based on the error information and the information of the other known errors as an error zone.

Abstract: Aspects of the present disclosure involve an innovative method for detecting error zones from a plurality of volume groups. The method may include creating a plurality of probe groups for error detection; detecting a new error associated with the plurality of probe groups and the plurality of volume groups; retrieving error information associated with the new error, wherein the error information comprises an error source, an error type, and an error time; retrieving an error correlation rule associated with the error information; determining if the error correlation rule is satisfied by the error information and information of other known errors; and identifying a common zone based on the error information and the information of the other known errors as an error zone.

Abstract: Systems and methods described herein involve a storage system and one or more devices associated with the storage system, the one or more devices external to the storage system, which can include managing a configuration rule difference mapping information that maps configuration detection filter information and required rule manipulation responsive to the configuration detection filter information, the required rule manipulation indicative of a modification to alert properties of the storage system; for detection of a configuration change to the one or more devices based on the configuration detection filter information, identifying one or more rule manipulations from the required rule manipulation information from the configuration rule difference mapping information, and generating a rule manipulation draft to modify the alert properties of the storage system based on the required rule manipulation.

Abstract: Example implementations can involve a system, which can involve a server configured to distribute role decision condition expressions created based on user input to one or more storage devices; and the one or more storage devices, which can involve a processor, configured to, for receipt of a request, determine user identification information, request source environment information and requested contents from the request; determine a role from the role decision condition expressions based on the user identification information and request source environment information; and determine whether or not the request can be executed based on the role.

Abstract: Example implementations described herein are directed to a method and a system for storage allocation from a storage pool, the method involving, for receipt of a request for storage through an orchestrator communicatively coupled to a management system managing the storage pool, the request comprising user information and request characteristics information, the request characteristics information indicative of a use type for the request, determining a storage tier from the storage pool for the request based on the user information and the request characteristics information; and allocating a pool name and the storage tier in response to the request.

Abstract: Example implementations can involve a system, which can involve a server configured to distribute role decision condition expressions created based on user input to one or more storage devices; and the one or more storage devices, which can involve a processor, configured to, for receipt of a request, determine user identification information, request source environment information and requested contents from the request; determine a role from the role decision condition expressions based on the user identification information and request source environment information; and determine whether or not the request can be executed based on the role.

Abstract: Example implementations described herein are directed to searching ML models to facilitate IO load prediction. Even if there is no existing ML model applicable to the underlying container, example implementations described herein obtain the ML model for the nearest container. Through such example implementations, the underlying systems can reduce the total ML models maintained for the prediction of IO load and can enhance ML models with enough learning data for each ML model.

Abstract: Example implementations described herein are directed to a method and a system for storage allocation from a storage pool, the method involving, for receipt of a request for storage through an orchestrator communicatively coupled to a management system managing the storage pool, the request comprising user information and request characteristics information, the request characteristics information indicative of a use type for the request, determining a storage tier from the storage pool for the request based on the user information and the request characteristics information; and allocating a pool name and the storage tier in response to the request.

Abstract: Embodiments described herein are directed to volume creation such that the volume is created in the storage system that is closest to the group of servers that the container is likely to be launched. Through such embodiments, the volume can be created or migrated in anticipation to a launch or a relaunch of a container.

Abstract: Example implementations described herein are directed to searching ML models to facilitate IO load prediction. Even if there is no existing ML model applicable to the underlying container, example implementations described herein obtain the ML model for the nearest container. Through such example implementations, the underlying systems can reduce the total ML models maintained for the prediction of IO load and can enhance ML models with enough learning data for each ML model.

Abstract: A computer 101 for searching a library to be used for an application to be used for a data analysis includes a memory 103 for storing information and a CPU 102 connected to the memory 103. The memory 103 stores execution result information including information for specifying a library utilized for a data analysis in the past and a past analysis data statistical profile which is a statistical profile with respect to past analysis data on which the data analysis is performed by using the library.

Abstract: A computer 101 for searching a library to be used for an application to be used for a data analysis includes a memory 103 for storing information and a CPU 102 connected to the memory 103. The memory 103 stores execution result information including information for specifying a library utilized for a data analysis in the past and a past analysis data statistical profile which is a statistical profile with respect to past analysis data on which the data analysis is performed by using the library.

Abstract: The information processor is provided with a receiving unit that receives a request including a period in which the resource is used, a usage status and a cession requirement, a work process storage that stores a pre-cession usage status, a post-cession usage status and a calculating condition, a work time arithmetic expression storage that stores an arithmetic expression of work time, a concession plan preparing unit that determines whether or not it is written to a cession requirement, calculates work time based upon the calculating condition and a specified post-cession usage status and an arithmetic expression, and calculates the capacity of the available resource with which the concession destination user is conceded based upon the calculated work time, the usage period included in the request and the usage period included in the request, and a concession managing unit that makes the resource of the capacity calculated.

Abstract: In a computer system to which a plurality of I/O devices are connected and a pool I/O device is included therein, a periodical operation confirmation is performed on a pool I/O device to be used when a fault occurs. A pool I/O device operation confirmation section obtains pool I/O device status information from a pool I/O device status information storage section (provided inside or outside the computer system). The status information includes a pool I/O device ID for identifying the pool I/O device, a type of the pool I/O device, a status value indicating an operation confirmation result, and an update time indicating the most recent operation confirmation time. Then, the pool I/O device operation confirmation section activates the pool I/O device and performs an operation confirmation thereon; terminates the operation of the pool I/O device after the operation confirmation; and updates the pool I/O device status information using the operation confirmation result obtained by the operation confirmation.

Abstract: The information processor is provided with a receiving unit that receives a request including a period in which the resource is used, a usage status and a cession requirement, a work process storage that stores a pre-cession usage status, a post-cession usage status and a calculating condition, a work time arithmetic expression storage that stores an arithmetic expression of work time, a concession plan preparing unit that determines whether or not it is written to a cession requirement, calculates work time based upon the calculating condition and a specified post-cession usage status and an arithmetic expression, and calculates the capacity of the available resource with which the concession destination user is conceded based upon the calculated work time, the usage period included in the request and the usage period included in the request, and a concession managing unit that makes the resource of the capacity calculated.

Abstract: There is provided a method of managing an organization of a computer system including a plurality of servers each capable of executing requested services, the services belonging to a service group defined based on data necessary for executing the services. Service groups are assigned to the plurality of servers. The method including: selecting, when a load imposed on a server exceeds a predetermined upper limit, a server of transfer destination for executing some of the services to be executed on the server having the load exceeding the upper limit; selecting at least one service group out of service groups assigned to the server having the load exceeding the upper limit; assigning the selected service group to the server of transfer destination; and transferring data necessary for executing services belonging to the selected service group from the server having the load exceeding the upper limit to the server of transfer destination.

Abstract: In a computing system comprising plural processor modules possessing plural processors, plural I/O devices serving as an interface of communication between the plural processor modules and external equipment, and a connection mechanism possessing plural switching units to which the plural processor modules and the plural I/O devices are coupled, the plural switching units possessed by the connection mechanism are managed as a network. In particular, the management information which defines each of plural paths by a line of two or more switching units among the plural switching units is acquired, the path status on the plural paths is grasped by analyzing the acquired management information, and the path status information on the grasped path status is created and outputted.

Abstract: In a computer system to which a plurality of I/O devices are connected and a pool I/O device is included therein, a periodical operation confirmation is performed on a pool I/O device to be used when a fault occurs. A pool I/O device operation confirmation section obtains pool I/O device status information from a pool I/O device status information storage section (provided inside or outside the computer system). The status information includes a pool I/O device ID for identifying the pool I/O device, a type of the pool I/O device, a status value indicating an operation confirmation result, and an update time indicating the most recent operation confirmation time. Then, the pool I/O device operation confirmation section activates the pool I/O device and performs an operation confirmation thereon; terminates the operation of the pool I/O device after the operation confirmation; and updates the pool I/O device status information using the operation confirmation result obtained by the operation confirmation.

Abstract: A magneto-resistive head, a magnetic tape and a magnetic tape recording/reproducing system, which are capable of suppressing the formation of protrusions around a magneto-resistive element, thereby preventing the occurrence of such problems as spacing loss and tape damage, are provided. A thermally conductive member that is connected to the magneto-resistive element is formed of a material having a thermal conductivity greater than 20 W/m·K so as to efficiently release the heat generated when the magneto-resistive element is in use and suppress the rise in temperature around the magneto-resistive element. In addition, by selecting, for a lubricant layer formed on the surface of the magnetic tape, a material whose melting point is higher than the operating temperature of the magneto-resistive element, the lubricant layer is prevented from melting even when the magneto-resistive element is in use and when the temperature of the magnetic head thus rises.

Abstract: To lower the coefficient of static friction of the circumferential surface of the guide or drum constituting the magnetic tape apparatus. A flat portion is formed between peak portions. The peak portions and flat portion are formed so that the relationship: a?<a is satisfied, where “a” represents a distance between the ridges of the peak portions, i.e., pitch of the peak portions, and “a?” represents a bottom width of the peak portions. When this relationship is satisfied between the peak portions and the flat portion, the total area of the meniscuses formed between the magnetic tape and the peak portions can be reduced, thus making it possible to lower the coefficient of static friction.