JP5895042B2 - Computer system, management computer, and storage management method - Google Patents

Description

  The present invention relates to a computer system, a management computer, and a storage management method, and is suitably applied to a computer system, a management computer, and a storage management method for managing data migration of a storage apparatus.

  In recent years, the amount of data handled by computer systems has been increasing year by year, and this increase in data volume can be handled by adding new storage devices or migrating data between existing storage systems. Yes.

  The unit of data transferred between storage systems is a unit of a storage area used by a host computer that stores data in the storage device, and is composed of, for example, a single hard disk device (HDD: Hard Disk Drive). A logical volume, a logical volume on a RAID (Redundant Arrays of Independent Disks) group composed of multiple hard disk devices, or a virtual logical volume using thin provisioning (Thin Provisioning) (Referred to as a virtual volume).

  Thin provisioning refers to providing a virtual volume to a host computer and dynamically assigning a physical storage area to store data when a host computer requests to write data to the virtual volume. This function is assigned to a virtual volume. According to such a thin provisioning function, a virtual volume having a capacity larger than the storage area that can be actually provided can be provided to the host computer. In recent years, efficient storage management has been performed using a plurality of types of hard disk devices having different performances. For example, in a management method called Hierarchical Storage Management (HSM), a storage area is allocated from a high-speed and high-performance storage hierarchy to an area in which data with high access frequency is stored, and data with low access frequency is assigned. A storage area is allocated from the storage hierarchy having a low speed and low performance to the area in which is stored.

  Patent Document 1 describes the time required for acquiring data of a migration source storage area storing data to be migrated and information of a data migration destination storage area and transferring the data. A technique for calculating and creating an optimal data migration plan is disclosed. For example, data stored in a high-performance storage hierarchy is migrated with priority over data stored in a low-performance storage hierarchy, so that data with high access frequency can be preferentially migrated.

JP 2008-203937 A

  However, in Patent Document 1, in order to calculate the time required for data migration, a management computer that manages a plurality of storage devices can arbitrarily store data from a storage device that is a data migration source and a storage device that is a data migration destination. Needed to get all information about the area. For this reason, there has been a problem that the amount of data transferred between the management computer and the storage apparatus becomes enormous, which may degrade the performance of the entire storage system.

  The present invention has been made in consideration of the above points, and an object of the present invention is to propose a storage system, a management computer, and a storage management method capable of efficiently acquiring information related to storage areas of a storage apparatus.

  In order to solve such a problem, in the present invention, a plurality of storage apparatuses, a plurality of host apparatuses that request data writing to the plurality of storage apparatuses, and a management that manages the plurality of storage apparatuses and the plurality of host apparatuses A computer system in which computers are connected to each other via a network is provided. The storage apparatus includes a storage device that stores data read and written by the host computer, and a control device that controls writing of data to the storage device, and the control device stores predetermined storage in the storage device. An area is provided to the host computer as one or more volumes, and statistical information about the storage area is provided to the management computer in response to a request from the management computer. The management computer stores the storage in the plurality of storage devices. A storage device that stores a storage area management table that manages an area; and a control device that manages a configuration of the storage area of the plurality of storage apparatuses, wherein the control device is provided from the plurality of storage apparatuses Based on the statistical information about the storage area of the storage device, the plurality of storages. Managing data configuration of the apparatus.

  According to such a configuration, the storage apparatus provides a predetermined storage area of the storage apparatus to the host computer as one or more volumes, and the management computer requests statistical information regarding the storage area from the storage apparatus. The storage apparatus provides statistical information about the storage area to the management computer in response to a request from the management computer, and the management computer provides the storage area of the storage apparatus provided from the plurality of storage apparatuses. The data configuration of the plurality of storage devices is managed based on the statistical information regarding the storage device. As a result, even if not all the information related to the storage area stored in the storage device is acquired, the statistical information of the storage area is acquired and the data migration time stored in the storage device and the data at the data transfer destination Since the I / O performance and the like can be calculated, the amount of data to be transferred and the transfer time can be greatly reduced.

  According to the present invention, it is possible to efficiently acquire information related to the storage area of the storage apparatus and prevent performance degradation of the entire storage system.

It is a block diagram which shows the whole structure of the computer system concerning the 1st Embodiment of this invention. 2 is a block diagram showing a configuration of a storage device according to the embodiment. FIG. It is a block diagram which shows the structure of the disk device concerning the embodiment. It is a chart showing an example of a storage side physical logical storage area correspondence table according to the embodiment. It is a conceptual diagram which shows the example of the information stored in the storage side physical logical storage area corresponding | compatible table concerning the embodiment. It is a chart showing an example of a resource composition table concerning the embodiment. 4 is a chart showing an example of a storage-side external storage configuration table according to the same embodiment. 2 is a block diagram showing a configuration of a host computer according to the same embodiment. FIG. It is a block diagram which shows the structure of the management computer concerning the embodiment. It is a chart which shows an example of the resource management table concerning the embodiment. 4 is a chart showing an example of a management-side external storage configuration table according to the embodiment. It is a chart which shows an example of the management side physical logical storage area corresponding | compatible table concerning the embodiment. It is a chart which shows an example of the disk type performance information table concerning the embodiment. It is a chart which shows an example of the port performance information table concerning the embodiment. It is a flowchart which shows the process sequence of the process of the system management program concerning the embodiment. It is a flowchart which shows the process sequence of the process of the data migration required time calculation program concerning the embodiment. It is a flowchart which shows the specific example of the data migration required time calculation process concerning the embodiment. It is a flowchart which shows the process sequence of the process of the statistical information acquisition program concerning the embodiment. It is a block diagram which shows the structure of the management computer concerning the 2nd Embodiment of this invention. It is a chart which shows an example of the management side physical logical storage area corresponding | compatible table concerning the embodiment. It is a chart which shows an example of the management side pool physical logical storage area corresponding | compatible table concerning the embodiment. It is a flowchart which shows the process sequence of the process of the transfer destination volume performance prediction program concerning the embodiment. It is a flowchart which shows the specific example of the migration destination volume performance prediction program concerning the embodiment.

  Hereinafter, an embodiment of the present invention will be described in detail with reference to the drawings.

  In the following description, the information of the present invention will be described using expressions such as “aaa table”. However, such information may be expressed in other than the data structure of the table. Therefore, “aaa table”, “aaa list”, “aaaDB”, “aaa queue”, etc. may be referred to as “aaa information” to indicate that they are not dependent on the data structure. Furthermore, in describing the contents of each information, the expressions “identification information”, “identifier”, “name”, “name”, and “ID” are used, but these can be replaced with each other.

(1) First Embodiment (1-1) Configuration of Computer System First, the configuration of a computer system 1 according to the present embodiment will be described with reference to FIG. As shown in FIG. 1, a computer system 1 according to this embodiment includes a storage system 1050 and host computers 2000a and 2000b (hereinafter, the host computers 2000a and 2000b may be simply referred to as a host computer 2000). A data network 3000a, 3000b (hereinafter, the data network 3000a, 3000b may be simply referred to as a data network 3000), a management network 4000, a management computer 5000, and an input / output device 6000. .

  The storage system 1050 includes a plurality of storage devices, for example, a storage device 1000a and a storage device 1000b. The storage apparatuses 1000a and 1000b may be simply referred to as the storage apparatus 1000 in the following description. In some cases, the former is referred to as an external connection source storage device and the latter is referred to as an external connection destination storage device in order to explicitly distinguish between a storage device connected to a storage device and a connection destination storage device. is there.

  The plurality of storage apparatuses 1000 and the host computer 2000 are connected via a data network 3000a. A plurality of storage apparatuses 1000 constituting the storage system 1050 are connected via a data network 3000b. The data networks 3000a and 3000b may be SAN (Storage Area Network), IP (Internet Protocol) network, or other data communication networks.

  The host computer 2000 and the storage apparatus 1000 are connected to the management computer 5000 via the management network 4000. The management network 4000 may be an IP network, for example, but may be a SAN or a data communication network other than these. The data networks 3000a and 3000b and the management network 4000 may be different networks or the same network. In this embodiment, the host computer 2000 and the management computer 5000 are described as separate computers. However, the present invention is not limited to this example, and the host computer 2000 and the management computer 5000 are configured as an integrated computer. May be. The input / output device 6000 is connected to the management computer 5000 via the management network 4000.

  The storage apparatus 1000 is an information processing apparatus having a storage device for storing data, and interprets a command transmitted from the host computer 2000 and executes read / write into a storage area of the storage apparatus 1000. The host computer 2000 is a computer device that executes various types of arithmetic processing according to user tasks, and includes, for example, a personal computer, a workstation, a main frame, or the like.

  The management computer 5000 is an information processing apparatus that is used by a system administrator to manage the computer system 1 and includes, for example, a personal computer, a workstation, or a main frame. The input / output device 6000 is a terminal device that accepts input from a system administrator or receives and outputs processing results transmitted from the management computer 5000, and includes, for example, a keyboard, a switch, a pointing device, and the like. It is comprised from an input device and output devices, such as a display and a speaker. In the present embodiment, the management computer 5000 and the input / output device 6000 are separate devices. However, the present invention is not limited to this example, and the management computer 5000 and the input / output device 6000 may be configured as an integrated device.

  In FIG. 1, the computer system 1 is composed of one storage system composed of two storage apparatuses 1000, two host computers 2000, and one management computer 5000. It is not limited to.

  Here, an outline of the present embodiment will be described. Normally, when the amount of data handled by the computer system 1 increases, the increase in the amount of data can be dealt with by newly adding a storage device 1000 or transferring data between existing storage systems 1050. Yes.

  The unit of data transferred between the storage systems 1050 is a unit of storage area used by the host computer 2000 that stores data in the storage apparatus 1000. For example, from a single hard disk drive (HDD: Hard Disk Drive) Examples include a logical volume configured, a logical volume on a RAID group including a plurality of hard disk devices, and a virtual volume using thin provisioning.

  Here, thin provisioning refers to providing a virtual volume to the host computer 2000 and moving a physical storage area for storing data when the host computer 2000 makes a data write request to the virtual volume. This is a function to be assigned to a virtual volume. According to such a thin provisioning function, a virtual volume having a larger capacity than the storage area that can be actually provided can be provided to the host computer 2000. In recent years, efficient storage management has been performed using a plurality of types of hard disk devices having different performances. For example, in a management method called hierarchical storage management, a storage area is allocated from a high-speed and high-performance storage tier to an area where frequently accessed data is stored, and an area where less frequently accessed data is stored. In other words, the storage area is allocated from a low-speed and low-performance storage hierarchy.

  Also, obtain the information of the migration source storage area where the data to be migrated is stored and the information of the storage area of the data migration destination, calculate the time required to migrate the data, and optimize A technique for creating a simple data migration plan is disclosed. For example, data stored in a high-performance storage hierarchy is migrated with priority over data stored in a low-performance storage hierarchy, so that data with high access frequency can be preferentially migrated.

  However, in the above technique, in order to calculate the time required for data migration, the management computer 5000 that manages the plurality of storage apparatuses 1000 is separated from the storage apparatus 1000a that is the data migration source and the storage apparatus 1000b that is the data migration destination. It was necessary to get all information about any storage area. For this reason, there is a problem that the amount of data transferred between the management computer 5000 and the storage apparatus 1000 becomes enormous, which may degrade the performance of the entire storage system. In the storage system 1 according to the present embodiment, the information about the storage area of the storage apparatus 1000 is greatly reduced, and the same result as when all the information about the storage area is obtained is obtained, so that the data migration process etc. It is possible to improve efficiency.

(1-2) Configuration of Each Device (1-2-1) Configuration of Storage Device Next, the hardware configuration and software configuration of the storage device 1000 will be described. As shown in FIG. 2, the storage apparatus 1000 includes a disk controller 1200 that controls the entire storage apparatus 1000 and a disk device 1100 that stores data.

  The disk controller 1200 includes a main memory 1210, a control device 1220, a host I / F 1230, a management I / F 1240, a disk I / F 1250, and an external connection I / F 1260. When the storage apparatus 1000 is used as an external connection destination, the external connection I / F may not be provided.

  The main memory 1210 stores a configuration management program 1211, a statistical information creation program 1215, a storage-side physical logical storage area correspondence table 1212, a resource configuration table 1213, and a storage-side external storage configuration table 1214. . When the storage apparatus 1000 is used as an external connection destination, the storage-side external storage configuration table 1214 may not be stored in the main memory 1210. When the storage apparatus 1000 does not support the thin provisioning function, the storage-side physical logical storage area correspondence table 1212 may not be stored in the main memory 1210. Details of each table will be described later.

  The configuration management program 1211 is a program that manages configuration information and performance information of the storage apparatus 1000. For example, the configuration management program 1211 refers to or updates information stored in the storage-side physical logical storage area correspondence table 1212, the resource configuration table 1213, or the storage-side external storage configuration table 1214. Further, the configuration management program 1211 communicates with a system management program 5110 of the management computer 5000, which will be described later, and transmits / receives various information.

  The statistical information creation program 1215 has a function of creating statistical information related to the configuration of the storage apparatus 1000 in response to a request from the management computer 5000. Here, the statistical information is information corresponding to a unit of a predetermined storage area and a granularity of the predetermined statistical information. For example, a logical volume or a virtual volume can be exemplified as a unit of the storage area. Examples of the granularity include the number of allocated segments for each resource and the occupation rate of data in the logical volume. The statistical information creation program 1215 acquires information corresponding to the unit of the storage area and the granularity of the statistical information given from the management computer 5000 from each table. Each table stored in the main memory 1210 will be described in detail later.

  The control device 1220 functions as an arithmetic processing device, and controls the overall operation of the storage apparatus 1000 according to various programs, arithmetic parameters, and the like stored in the main memory 1210.

  The host I / F 1230 is an interface for connecting to the host computer 2000 via the data network 3000, and transmits / receives various information such as data and control commands to the host computer 2000. The management I / F 1240 is an interface for connecting to the host computer 2000 and the management computer 5000 via the management network 4000, and transmits and receives various information such as data and control commands to the host computer 2000 and the management computer 5000.

  The disk I / F 1250 is an interface that connects the disk controller 1200 and the disk device 1100, and transmits and receives various information such as data and control commands to and from the disk device 1100. The external connection I / F 1260 is an interface for connecting the data network 3000 and the externally connected storage apparatus 1000, and transmits / receives various information such as data and control commands to the externally connected storage apparatus 1000.

  The disk device 1100 includes a plurality of physical devices (PDEV) 1150a, 1150b, 1150c, and 1150d (hereinafter also referred to as physical devices (PDEV) 1150). Here, a logical configuration of the disk device 1100 will be described.

  As shown in FIG. 3, the disk device 1100 includes one or more logical volumes 1110 (1110a, 1110b, 1110c, 1110d) and a pool 1120. The logical volume 1110 is a logical storage area serving as a data storage unit, and is created from one or more physical resources 1121 or virtual resources 1122. The logical volume 1110 stores various data read / written by the host computer 2000. In the present embodiment, the disk device 1100 includes four logical volumes 1110 and one pool 1120, but the number of logical volumes and the like is not limited to these.

  The pool 1120 is composed of one or more physical resources 1121 or one or more virtual resources. The pool 1120 is a set of storage areas provided by the storage apparatus 1000 to the host computer 2000. For example, the pool 1120 may be a pool provided by a RAID group or a pool provided by thin provisioning. For example, in the case of a pool provided by a RAID group, one RAID group is configured by a plurality of disks, and one or more logical volumes are defined on a storage area provided by one RAID group. Then, logical volumes provided by a plurality of RAID groups are managed as one pool. As a RAID group, for example, “RAID0” that provides a large storage area by combining a plurality of hard disk devices into one, “RAID1” that performs mirroring between hard disks in order to increase the redundancy of the hard disk devices, etc. It can be illustrated.

  In FIG. 3, the pool 1120 includes the physical resource 1121 and the virtual resource 1122, but is not limited to this example, and the pool 1120 may include only the physical resource 1121 or only the virtual resource 1122. You may be comprised from. In the present embodiment, a RAID logical device including a plurality of physical devices (PDEV) 1150 is defined as a physical resource. In addition, a logical device created in the external connection source storage system 1050 is defined as a virtual resource by the external connection technology. Further, when it is not necessary to distinguish between physical resources and virtual resources, they are simply referred to as resources.

  Further, FIG. 3 shows various types of logical volumes 1110. Examples of the type of the logical volume 1110 include a normal logical volume 1110a, an external connection volume 1110b, a thin provisioning volume 1110c, and a dynamic thin provisioning 1110d.

  The normal logical volume 1110a is a logical storage area composed of physical resources 1121 (such as RAID groups) composed of hard disk devices. The externally connected volume 1110b is a logical storage area that includes a virtual resource 1122 and the actual storage area exists in the external connection destination (for example, the storage apparatus 1000b).

  In addition, the thin provisioning volume 1110c is a logical volume whose capacity can be dynamically expanded as described above. When the thin provisioning volume 1110c receives a data write request from the host computer 2000, the thin provisioning volume 1110c dynamically allocates segments (predetermined areas) from the physical resource 1123 or virtual resource 1124 included in the pool 1120 to dynamically Capacity can be expanded.

  In addition, the dynamic thin provisioning volume 1110d is a logical volume capable of dynamically expanding the capacity in the same manner as the thin provisioning volume 1110c. The dynamic thin provisioning volume 1110d can dynamically allocate segments once allocated to segments with different performance (responsiveness, reliability, etc.) according to the logical volume access status.

  In FIG. 3, the thin provisioning volume 1110c and the dynamic thin provisioning volume 1110d are assigned segments from both the physical resource 1123 and the virtual resource 1124. However, the present invention is not limited to this example. A segment may be allocated from any one of the resources 1124.

  Next, details of each table stored in the main memory 1210 will be described with reference to FIGS.

  The storage-side physical logical storage area correspondence table 1212 is a table for managing the correspondence between the logical address of the logical volume 1110 and the address of the physical resource 1121 or the virtual resource 1122 in the thin provisioning function. As shown in FIG. 4, the storage-side physical logical storage area correspondence table 1212 includes a volume identifier column 12120, a logical start address column 12121, a logical end address column 12122, a pool identifier column 12123, a resource identifier column 12124, and a physical start address column 12125. And a physical end address column 12126.

  The volume identifier column 12120 stores a volume identifier for identifying each logical volume 1110. The logical start address column 12121 stores the segment start address of the logical volume 1110, and the logical end address column 12122 stores the end of the logical volume 1110 corresponding to the logical start address stored in the logical start address column 12121. Stores the address.

  The pool identifier column 12123 stores a pool identifier that identifies a pool having a resource that is a segment allocation source. The resource identifier column 12124 stores a resource identifier that is an identifier of the physical resource 1121 or the virtual resource 1122 of the pool 1120. The physical start address column 12125 stores the start address of the physical resource 1120 or virtual resource 1122 of the pool 1120, and the physical end address column 12126 stores the end address of the physical resource 1120 or virtual resource 1122 of the pool 1120. Is stored.

  Here, information stored in the storage-side physical logical storage area correspondence table 1212 will be described.

  FIG. 5 shows an example of information stored in the storage-side physical logical storage area correspondence table 1212 shown in FIG. As shown in FIG. 5, addresses 1000 to 1999 of physical resource 0 of pool 1120 with pool identifier “1” correspond to addresses 0 to 999 of logical volume (volume identifier 0) 1110. Similarly, addresses 0 to 999 of the physical resource “1” correspond to addresses 1000 to 1999 of the logical volume (volume identifier “0”) 1110. Then, addresses 0 to 2999 of the physical resource “2” correspond to addresses 2000 to 3999 of the logical volume (volume identifier “0”) 1110. In addition, physical resources are not allocated from address 4000 to address 199999 of the logical volume 1110. In the dynamic thin provisioning volume 1110d, the correspondence shown in FIG. 5 is dynamically changed.

  Next, the resource configuration table 1213 will be described. The resource configuration table 1213 is a table for managing information related to resources provided in the disk device 1110 of the storage apparatus 1000. As shown in FIG. 6, the resource configuration table 1213 includes a pool identifier column 12130, a resource identifier column 12131, a resource type column 12132, and a resource configuration column 12133.

  The pool identifier column 12130 stores a pool identifier that identifies the pool to which each resource belongs. The resource identifier column 12131 stores a resource identifier for identifying each resource. The resource type column 12132 stores information indicating the type of each resource. The resource type represents the type of storage medium, and examples thereof include FC (Fibre channel), SSD (Solid State Drive), and SATA (Serial AT Attachment). The resource configuration column 12133 stores information indicating the resource configuration. The information indicating the resource configuration is information indicating whether it is a physical resource inside the storage apparatus 1000 or a virtual resource of an external storage apparatus connected to the storage apparatus 1000. In FIG. 6, the physical resource inside the storage apparatus 1000 is “internal”, and the virtual resource outside the storage apparatus is “external”.

  Next, the storage-side external storage configuration table 1214 will be described. The storage-side external storage configuration table 1214 includes a virtual resource 1122 in a storage apparatus 1000a that is a connection source of external connection (hereinafter referred to as an external connection source storage apparatus 1000a) and a storage apparatus 1000b that is a connection destination of external connection ( This is a table for managing the correspondence relationship with the logical volume of the external connection destination storage apparatus 1000b). As shown in FIG. 7, the storage-side external storage configuration table 1214 includes a resource identifier column 12140, a port identifier column 12141, an external storage identifier column 12142, an external storage-side resource identifier column 12143, and an external storage port identifier column 12144. .

  The resource identifier column 12140 stores a resource identifier for identifying the virtual resource 1122 of the external connection source storage apparatus 1000a. In the port identifier column 12141, there is a port identifier for identifying the port on the external connection source storage apparatus 1000a side to which the virtual resource 1122 of the external connection source storage apparatus 1000 and the logical volume 1110 of the external connection destination storage apparatus 1000b are connected. Stored.

  The external storage identifier column 12142 stores an identifier for identifying the external connection destination storage apparatus 1000b corresponding to the virtual resource 1122 of the external connection source storage apparatus 1000a. The identifier may be information in any format as long as it can identify the external connection destination storage apparatus 1000b.

  The external storage side resource identifier column 12143 stores an identifier for identifying a resource constituting the logical volume 1110 of the external connection destination storage apparatus 1000b corresponding to the virtual resource 1122 of the external connection source storage apparatus 1000a. In the external storage port identifier column 12144, a port for identifying the port of the external connection source storage apparatus 1000a to which the virtual resource 1122 of the external connection source storage apparatus 1000a and the logical volume 1110 of the external connection destination storage apparatus 1000b are connected. An identifier is stored.

(1-2-2) Configuration of Host Computer Next, the hardware configuration and software configuration of the host computer 2000 will be described with reference to FIG. As shown in FIG. 8, the host computer 2000 includes a main memory 2100, a control device 2200, a host I / F 2300, and a management I / F 2400. The host computer 2000 may be provided with input / output devices such as a keyboard and a display device that are not shown.

  The main memory 2100 stores various programs and calculation parameters. The control device 2200 functions as an arithmetic processing device, and controls the operation of the entire host computer 2000 according to various programs and arithmetic parameters stored in the main memory 2100.

  The host I / F 2300 is an interface for connecting to the storage apparatus 1000 via the data network 3000, and transmits / receives various information such as data and control commands to the storage apparatus 1000. The management I / F 2400 is an interface for connecting to the storage apparatus 1000 or the management computer 5000 via the management network 4000, and transmits / receives various information such as data and control commands to the storage apparatus 1000 or the management computer 5000.

(1-2-3) Configuration of Management Computer Next, the hardware configuration and software configuration of the management computer 5000 will be described with reference to FIG. As shown in FIG. 9, the management computer 5000 includes a main memory 5100, a control device 5200, a management I / F 5300, and a host I / F 5400.

  The main memory 5100 includes a system management program 5110, a data migration required time calculation program 5112, a statistical information acquisition program 5113, a resource management table 5150, a management-side external storage configuration table 5155, and a management-side physical logical storage area. A table 5160, a disk type performance information table 5170, and a port performance information table 5180 are stored.

  The system management program 5110 is a program for managing the configuration of the storage system 1050. Specifically, the system management program 5110 acquires the configuration information of the storage apparatus 1000 from the configuration management program 1211 of the storage apparatus 1000, and based on the acquired information. The resource management table 5150 and the management-side external storage configuration table 5155 are updated.

  The data migration required time calculation program 5112 accepts input of information on a migration target volume and a migration destination volume according to a user operation, and includes a resource management table 5150, a management-side external storage configuration table 5155, and a management-side physical logical storage. This is a program for referring to the area correspondence table 5160, the disk type performance information table 5170, and the port performance information table 5180 to calculate the time required for data migration between input volumes.

  The statistical information acquisition program 5113 receives an input of an arbitrary storage area unit and statistical information granularity as a target for acquiring statistical information in accordance with a user operation, and inputs the input to the statistical information creation program 1215 of the storage apparatus 1000. Information provided. Then, the statistical information acquisition program 5113 acquires statistical information corresponding to the input from the statistical information creation program 1215 of the storage apparatus 1000.

  Next, the resource management table 5150 will be described. The resource management table 5150 is a table for managing resource information of one or more storage apparatuses 1000 managed by the management computer 5000. As shown in FIG. 10, the resource management table 5150 includes a device identifier column 51500, a pool identifier column 51501, a resource identifier column 51502, a resource type column 51503, and a resource configuration column 51504.

  The device identifier column 51500 stores a storage device identifier for identifying the storage device 1000. The pool identifier column 51501 stores a pool identifier for identifying the pool 1120 of the storage apparatus 1000. The resource identifier column 51502 stores a resource identifier for identifying a resource in each pool. The resource type column 51503 stores information indicating the type of each resource. The resource type represents the type of storage medium, and examples thereof include FC, SSD, SATA, and the like. The resource configuration column 51504 stores information indicating the resource configuration. The information indicating the resource configuration is information indicating whether it is a physical resource inside the storage apparatus 1000 or a virtual resource of an external storage apparatus connected to the storage apparatus 1000. In FIG. 10, the physical resource inside the storage apparatus 1000 is “internal”, and the virtual resource outside the storage apparatus is “external”.

  Next, the management-side external storage configuration table 5155 will be described. The management-side external storage configuration table 5155 is a table that is managed by the management computer 5000 and shows the configuration of external connections between one or more storage apparatuses 1000a and externally connected external storage apparatuses 1000b. As shown in FIG. 11, the management-side external storage configuration table 5155 includes a storage identifier field 51550, a resource identifier field 51551, a port identifier field 51552, an external storage identifier field 51553, an external storage side resource identifier 51554, and an external storage port identifier field 51555. Consists of

  The storage identifier column 51550 stores a storage identifier for identifying the external connection source storage apparatus 1000a. The resource identifier column 51551 stores a resource identifier for identifying the virtual resource 1122 in the external connection source storage apparatus 1000a. The port identifier column 51552 identifies the port on the external connection source storage apparatus 1000a side that connects the virtual resource 1122 in the external connection source storage apparatus 1000a and the logical volume 1110 in the external connection destination storage apparatus 1000b. An identifier is stored.

  The external storage identifier column 51553 stores an external storage identifier for identifying the external connection destination storage apparatus 1000b corresponding to the virtual resource 1122 in the external connection source storage apparatus 1000a. The external storage side resource identifier 51554 stores an external storage side resource identifier for identifying a resource constituting a logical volume in the external connection destination storage apparatus 1000b corresponding to the virtual resource 1122 in the external connection source storage apparatus 1000a. The external storage port identifier column 51555 identifies the port on the external connection source storage apparatus 1000b side that connects the virtual resource 1122 in the external connection source storage apparatus 1000a and the logical volume 1110 in the external connection destination storage apparatus 1000b. Stores the external storage port identifier.

  Next, the management-side physical logical storage area correspondence table 5160 will be described. The management-side physical logical storage area correspondence table 5160 is a table for managing arbitrary statistical information related to the configuration of the storage apparatus 1000. Specifically, the statistical information acquisition program 5113 acquires arbitrary statistical information from the storage apparatus 1000 based on the information in the storage-side physical logical storage area correspondence table 1212 of the storage apparatus 1000, and supports the management-side physical logical storage area. Store in table 5160. The statistical information is, for example, information corresponding to a predetermined storage area unit and a predetermined statistical information granularity, for example, a logical volume or a virtual volume as a storage area unit, and a statistical information granularity as a resource. The number of allocated segments for each segment, the occupation ratio of data in the logical volume, and the like can be mentioned. FIG. 12 illustrates an example in which the number of resource segments allocated to a virtual volume is stored as statistical information.

  As shown in FIG. 12, the management-side physical logical storage area correspondence table 5160 includes a device identifier column 51600, a volume identifier column 51601, a pool identifier column 51602, a resource identifier column 51603, and the number of allocated segments 51604. In the device identifier column 51600, a device identifier for identifying the storage device 1000 is stored. The volume identifier column 51601 stores a volume identifier for identifying the logical volume 1110. The pool identifier column 51602 stores a pool identifier for identifying a pool having a resource as a segment allocation source. The resource identifier column 51603 stores a resource identifier that is an identifier of the physical resource 1121 or the virtual resource 1122 of the pool 1120. The number of allocated segments 51604 stores the number of segments of an arbitrary resource allocated to each volume. For example, of the information stored in the storage-side physical logical storage area correspondence table 1212, the total number of segments allocated from the same type of resource is stored.

  Next, the disk type performance information table 5170 will be described. The disk type performance information table 5170 is a table for managing the read / write performance of each resource of the physical resource 1121 or the virtual resource 1122. As shown in FIG. 13, the disk type performance information table 5170 includes a device identifier column 51700, a resource type column 51701, a Read performance column 51702, and a Write performance column 51703.

  In the device identifier column 51700, a device identifier for identifying the storage device 1000 is stored. The resource type column 51701 stores information indicating the type of each resource. The resource type represents the type of storage medium, and examples thereof include FC, SSD, SATA, and the like. The Read performance column 51702 stores the read performance corresponding to the resource type. For example, the read performance is indicated in units of “G / Sec”, but is not limited to this example, and may be expressed in other units. The write performance column 51703 stores the write performance corresponding to the resource type. For example, it is shown in the unit of “G / Sec”, but is not limited to this example, and may be expressed in other units.

  Next, the port performance information table 5180 will be described. The port performance information table 5180 is a table for managing IOPS (Input Output Per Second) indicating the performance of each port included in the storage apparatus 1000. As shown in FIG. 14, the port performance information table 5180 includes a device identifier column 51800, a port identifier column 51801, and a maximum IOPS column 51802.

  In the device identifier column 51800, a device identifier for identifying the storage device 1000 is stored. The port identifier column 51801 stores a port identifier that identifies each port included in the storage apparatus 1000. The maximum IOPS column 51802 stores the IOPS value of each port. As the IOPS value, an IPOS value of a port occupied in a catalog or a manual may be stored. Further, the measured value of the IPOS of the port acquired from the storage apparatus 1000 by the system management program 5110 may be stored, or the predicted value obtained by dividing the tendency from a plurality of measured values measured in the past may be stored. Good.

  Returning to FIG. 9, the control device 5200 functions as an arithmetic processing unit, and controls the overall operation of the management computer 5000 according to various programs, arithmetic parameters, and the like stored in the main memory 5100.

  The management I / F 5300 is an interface for connecting to the storage apparatus 1000 and the host computer 2000 via the management network 4000, and transmits / receives various information such as data and control commands to the storage apparatus 1000 and the host computer 2000.

  The host I / F 5400 is an interface for connecting to the host computer 2000 via the management network 4000, and transmits / receives various information such as data and control commands to the host computer 2000.

  Each function provided in the above-described storage apparatus 1000, host computer 2000, and management computer 5000 is realized by each program that is read from the main memory of each apparatus and executed by the control device of each apparatus. Each program may be stored in the main memory of each device in advance, or may be stored in the main memory from another device via a medium that can be used by each device as necessary. Examples of the medium that can be used by each apparatus include a storage medium that can be attached to and detached from a reading apparatus, a network connected to each apparatus, a communication medium such as a carrier wave and a digital signal that propagates through the network, and the like.

(1-3) Details of Operation of Each Device Next, details of the operation of each device in the computer system 1 will be described. In the following, details of the operation of the management computer 5000 that executes the characteristic processing of this embodiment will be described.

  In the following description, there is a case where “program” is used as the subject, but the program is executed by the control device and performs processing determined using the main memory and port (communication control device). The subject may be an explanation. The processing disclosed with the program as the subject may be processing performed by a computer such as a management computer or an information processing apparatus. Further, part or all of the program may be realized by dedicated hardware. Various programs may be installed in each computer by a program distribution server or a computer-readable memory media.

  First, details of the processing of the system management program 5110 will be described. The system management program 5110 may execute the following processing periodically or in response to a user operation. The system management program 5110 performs processing for acquiring configuration information from the storage apparatus 1000 and storing the acquired configuration information in a predetermined table.

  Specifically, as shown in FIG. 15, the system management program 5110 requests the configuration management program 1212 of the storage apparatus 1000 for the configuration information of the resources in the storage apparatus 1000 and the external storage (S1010).

  Then, the system management program 5110 acquires information of the resource configuration table 1213 and the storage-side external storage configuration table 1214 in the storage apparatus 1000 acquired by the configuration management program 1212 (S1020).

  Then, the system management program 5110 stores the configuration information acquired in step S1020 in the resource management table 5150 and the management-side external storage configuration table 5155 (S1030). Specifically, the system management program 5110 stores the device identifier of each storage device 1000 and the resource configuration information in the resource management table 5150 in association with each other. Also, the system management program 5110 associates the device identifier (storage identifier) of each storage device 1000 with the external storage configuration information and stores them in the management-side external storage configuration table 5155.

  Next, details of the processing of the data migration required time calculation program 5112 will be described. The data migration required time calculation program 5112 may execute the following processing in response to an input from the system administrator, or a monitoring program (not shown) for monitoring the resource allocation status to the logical volume of the storage apparatus 1000. The following processing may be executed in response to the request.

  As shown in FIG. 16, the data migration required time calculation program 5112 performs processing for calculating the time required for data migration in accordance with an input from the system administrator. Specifically, the data migration required time calculation program 5112 first acquires information for data migration input by the administrator via the input device 6000 (S2005). The information for data migration is, for example, information on a volume (logical volume) that is a target of data migration or information on a volume to which data is migrated. The volume information is, for example, information for identifying the resource shown in FIG. 10 or FIG.

  Then, the data migration required time calculation program 5112 requests the statistical information acquisition program 5113 for statistical information corresponding to a predetermined input (S2010). Specifically, the data migration required time calculation program 5112 uses the statistical information acquisition program 5113 to acquire the information on the migration source volume and the migration destination volume acquired in step S2005, the unit of statistical information, the granularity and type of statistical information, and so on. Is provided to the statistical information acquisition program 5113, and statistical information corresponding to the input is acquired from the statistical information acquisition program 5113. Here, the unit of statistical information can be exemplified by a virtual volume unit, for example, and the granularity or type of statistical information can be exemplified by the number of allocated segments for each resource.

  Then, the data migration required time calculation program 5112 acquires statistical information related to resource allocation of the designated volume acquired in step S2010 (S2020). In this embodiment, the statistical information to be acquired is information related to volume resource allocation, but is not limited to this example, and is information that changes in response to an input in step S2010. The statistical information acquisition process by the statistical information acquisition program 5113 will be described in detail later.

  Next, the data migration required time program 5112 stores the statistical information acquired in step S2020 in the management-side physical logical storage area correspondence table 5160 (S2030). As described above, the management-side physical logical storage area correspondence table 5160 includes the total number of segments allocated from the same type of resource among the information stored in the storage-side physical logical storage area correspondence table 1212. Is stored. As a result, it is possible to collect less information than all the information stored in the storage-side physical logical storage area correspondence table 1212, so that it is possible to greatly reduce the amount of data to be transferred and the transfer time. Become.

  The data migration required time calculation program 5112 is stored in the resource management table 5150, the management-side external storage configuration table 5155, the management-side physical logical storage area correspondence table 5160, the disk type performance information table 5170, and the port performance information table 5180. Based on the information, the time required for data migration is calculated (S2040).

  Here, a specific example of the data migration required time calculation process will be described. As illustrated in FIG. 17, the data migration required time calculation program 5112 refers to the management-side physical logical storage area correspondence table 5160 and identifies the resources that constitute the volume that is the target of data migration input in step S2005. (S2050).

  Then, the data migration required time calculation program 5112 refers to the resource management table 5150 and identifies the type and configuration of the resource identified in step S2050 (S2052).

  Then, the data migration required time calculation program 5112 determines whether or not the configuration information specified in step S2052 is external (S2054). If it is determined in step S2054 that the configuration information is external, the data migration required time calculation program 5112 refers to the management-side external storage configuration table 5155 and is used for external connection corresponding to the identified resource. The port to be specified is specified (S2056). Further, the data migration required time calculation program 5112 refers to the port performance information table 5180 and identifies the performance information of the port identified in step S2056 (S2058).

  If it is determined in step S2054 that the configuration information is not external, the process of step S2060 is executed. Then, the data migration required time calculation program 5112 refers to the disk type performance information table 5170 and identifies the read / write performance corresponding to the resource type identified in step S2050 (S2060).

  Next, the data migration required time calculation program 5112 calculates the data migration required time of the data stored in the resource identified in step S2050 (S2062). For example, when the migration source volume is a 200 GB SSD and an 800 GB FC, the SSD read performance is specified as 10 (G / Sec) and the FC read performance is 8 (G / Sec) in step S2060. Therefore, the time required for data migration of the migration source volume is calculated by the following equation.

  If the migration destination volume is configured with a virtual resource with 1000 GB FC, the port performance is specified in step S2058. When the maximum IOPS of the port performance is 10 (G / sec), 10/5 (G / sec) may be set as the port performance. In step S2060, the FC write performance is specified as 4 (G / Sec). Therefore, the time required for data migration to the migration destination volume is 1000/4 + 1000/5 = 250 + 200 = 450 (sec). Therefore, the data migration required time calculation program 5112 sets the value (120 + 450 = 570 (sec)) obtained by adding the data migration required time of the migration source volume and the data migration required time of the migration destination volume as the data migration required time.

  The data migration required time calculation program 5112 determines whether the data migration required time has been calculated for all resources (S2064). If it is determined in step S2064 that the required data migration time has been calculated for all resources, the data migration required time calculation program 5112 ends the process. On the other hand, if it is determined in step S2064 that the required data migration time has not been calculated for all resources, the data migration required time calculation program 5112 repeats the processing from step S2050 onward.

  Next, details of the processing of the statistical information acquisition program 5113 will be described. The statistical information acquisition program 5113 requests predetermined statistical information from the statistical information creation program 1215 of the storage apparatus 1000. The statistical information acquisition program 5113 executes the following statistical information acquisition processing under the instruction of the data migration required time calculation program 5112 described above.

  As shown in FIG. 18, first, the statistical information acquisition program 5113 accepts input of information on the statistical information acquisition target from the data migration required time calculation program 5112 (S3005). The statistical information acquisition target information includes, for example, a statistical information acquisition target unit, information for specifying the statistical information acquisition target, and the granularity or type of the statistical information. Specifically, a virtual volume can be exemplified as a unit for obtaining statistical information, a migration source or migration destination logical volume can be exemplified as information for specifying a statistical information acquisition target, and a granularity or type of statistical information can be specified for each resource. The number of segment allocations can be exemplified.

  Then, the statistical information acquisition program 5113 provides the statistical information acquisition target information received in step S3005 to the statistical information generation program 1215 of the storage apparatus 1000, and requests statistical information from the statistical information generation program 1215 ( S3010). Then, the statistical information acquisition program 5113 acquires statistical information corresponding to the statistical information acquisition target information from the statistical information creation program 1215 (S3020). Specifically, the statistical information creation program 1215 statistically calculates a value obtained by adding, for each resource, the number of segments allocated to the virtual volume, for the target virtual volume of the migration source or migration destination logical volumes. It is created as information and provided to the statistical information acquisition program 5113.

  In step S3010, the statistical information acquisition program 5113 may transmit the acquired time to the statistical information creation program. In this case, the statistical information acquisition program 5113 may acquire statistical information only for a portion whose configuration has been changed from the previously acquired time within the range of statistical information acquired from the statistical information creation program in step S3020. . According to this method, the amount of data transferred between the management computer 5000 and the storage apparatus 1000 can be further reduced.

(2) Second Embodiment Next, a second embodiment of the present invention will be described with reference to FIGS. In the first embodiment, the data related to the segment allocation information constituting the virtual volume is exemplified as the statistical information transferred from the storage apparatus 1000 to the management computer 5000. However, in the second embodiment, the segment allocation information is included in the segment allocation information. In addition, the second embodiment is different from the first embodiment in that segment IOPS information, segment allocation information of resources in the pool, and segment IOPS information are transferred. Hereinafter, a configuration different from that of the first embodiment will be described in detail, and detailed description of the same configuration as that of the first embodiment will be omitted.

  As illustrated in FIG. 19, the management computer 5000 according to the present embodiment includes a main memory 5100, a control device 5200, a management I / F 5300, and a host I / F 5400.

  Since the control device 5200, the management I / F 5300, and the host I / F 5400 have the same functions as those in the first embodiment, detailed description thereof is omitted.

  The main memory 5100 includes a system management program 5110, a migration destination volume performance prediction program 5114, a statistical information acquisition program 5113, a resource management table 5150, a management-side external storage configuration table 5155, and a management-side physical logical storage area. A correspondence table 5160B, a disk type performance information table 5170, a port performance information table 5180, and a management side pool physical logical storage area correspondence table 5190 are stored. In this embodiment, the data migration required time calculation program 5112 described in the first embodiment is not stored in the main memory 5100, but the data migration required time calculation program 5112 may be stored in the main memory 5100. .

  Hereinafter, the programs and tables different from the first embodiment will be described in detail. The migration destination volume performance prediction program 5114 predicts performance (for example, response time) when data of an arbitrary dynamic thin provisioning volume (hereinafter referred to as a dynamic virtual volume) is migrated to a dynamic virtual volume belonging to a different pool. It is a program. In this embodiment, the volume that is the target of performance prediction of the migration destination volume performance prediction program 5114 is a dynamic virtual volume. However, the present invention is not limited to this example, and the logical volume described in the first embodiment is used. 1110 may be, for example, a normal logical volume 1110a and an externally connected volume 1110b. In the present embodiment, the data migration rule of the dynamic virtual volume is a rule for migrating to a resource segment with higher performance as data with higher IOPS, but is not limited to this example. Here, the performance can be exemplified by a value (G / sec) indicated in a manual, a catalog, or the like.

  Next, the management-side physical logical storage area correspondence table 5160B will be described. As shown in FIG. 20, the management-side physical logical storage area correspondence table 5160B is a table for managing arbitrary statistical information related to the configuration of the storage apparatus 1000. In addition to the information stored in the management-side physical logical storage area correspondence table 5160 according to the first embodiment, the management-side physical logical storage area correspondence table 5160B includes information on the average IOPS for any allocated segment. Hold.

  Specifically, the average IOPS column 51605 stores an average value of IOPS values for a segment of an arbitrary resource allocated to a volume. In the present embodiment, the IOPS value held in the management-side physical logical storage area correspondence table 5160B is the average IOPS value of the allocated segment. For example, statistical information indicating IO distribution such as a 50 percent tile May be stored.

  Next, the management-side pool physical logical storage area correspondence table 5190 will be described. The management-side pool physical logical storage area correspondence table 5190 is a table for managing statistical information related to resources in the pool 1120 of the storage apparatus 1000. As shown in FIG. , Device identifier column 51900, pool identifier column 51901, resource identifier column 51902, total segment number column 51903, allocated segment number column 51904, and average IOPS column 51905 for allocated segments.

  The device identifier column 51900 stores a device identifier for identifying a storage device. The pool identifier column 51901 stores a pool identifier that identifies the pool. The resource identifier column 51902 stores a resource identifier column for identifying a resource. The total segment number column 51903 stores the total number of segments that the resource has. The allocated segment number column 51904 stores the number of allocated segments among the segments of the resource. The average IOPS to allocated segment 51905 stores the value of average IOPS to an allocated segment of an arbitrary resource.

  Next, details of the operation of the management computer 500 according to the present embodiment will be described. In the following, a characteristic process of the present embodiment that is different from the first embodiment will be described. In the following, details of the processing of the migration destination volume performance prediction program 5114 will be described in particular.

  As shown in FIG. 22, the migration destination volume performance prediction program 5114 first acquires information for data migration input by the administrator via the input device 6000 (S4010). The information for data migration is, for example, information on a volume (logical volume) that is a target of data migration or information on a volume to which data is migrated.

  Next, the migration destination volume performance prediction program 5114 requests the statistical information acquisition program 5113 for statistical information corresponding to a predetermined input (S4020). Specifically, the migration destination volume performance prediction program 5114 provides the statistical information acquisition program 5113 with the migration source volume information and migration destination volume information acquired in step S4010, and the unit, granularity, and type of statistical information. Statistical information corresponding to the input is acquired from the statistical information acquisition program 5113. Here, the unit of statistical information is a virtual volume and a pool, and the granularity and type of statistical information are the number of allocated segments and the average IOPS for each resource. In the present embodiment, the number of allocated segments and the average IOPS for each resource are exemplified as the granularity and type of statistical information. However, the granularity and type such as a 50 percent tile may be used.

  Then, the migration destination volume performance prediction program 5114 acquires statistical information related to resource allocation of the designated volume acquired in step S4010 (S4030). In the present embodiment, the statistical information to be acquired is information related to volume resource allocation and average IOPS, but is not limited to this example.

  Next, the migration destination volume performance prediction program 5114 stores the statistical information acquired in step S4030 in the management-side physical logical storage area correspondence table 5160B and the management-side pool physical logical storage area correspondence table 5190 (S4040). In the management-side physical logical storage area correspondence table 5160B, as described above, the total number of segments allocated from the same type of resource among the information stored in the storage-side physical logical storage area correspondence table 1212 And the average IOPS of each resource is stored. As a result, it is possible to collect less information than all the information stored in the storage-side physical logical storage area correspondence table 1212, so that it is possible to greatly reduce the amount of data to be transferred and the transfer time. Become.

  The migration destination volume performance prediction program 5114 includes a resource management table 5150, a management-side external storage configuration table 5155, a management-side physical logical storage area correspondence table 5160B, a disk type performance information table 5170, a port performance information table 5180, and a management-side pool. Based on the information stored in the physical logical storage area correspondence table 5190, the performance of the migration destination dynamic virtual volume is calculated (S4050).

  Here, a specific example of the migration destination volume performance prediction process will be described. As shown in FIG. 23, the migration destination volume performance prediction program 5114 refers to the management-side physical logical storage area correspondence table 5160 and corresponds to the resources and migration destination volumes that constitute the migration source volume input in step S4010. The resources constituting the pool are specified (S4060).

  Then, the migration destination volume performance prediction program 5114 refers to the resource management table 5150 and identifies the type and configuration of the resource identified in step S4060 (S4062).

  Then, the migration destination volume performance prediction program 5114 determines whether or not the configuration information specified in step S4062 is external (S4064). If it is determined in step S4064 that the configuration information is external, the migration destination volume performance prediction program 5114 refers to the management-side external storage configuration table 5155 and uses it for the external connection corresponding to the identified resource. The specified port is specified (S4066). Further, the migration destination volume performance prediction program 5114 refers to the port performance information table 5180 and identifies the performance information of the port identified in step S4066 (S4068).

  If it is determined in step S4064 that the configuration information is not external, the process of step S4070 is executed. Then, the migration destination volume performance prediction program 5114 refers to the disk type performance information table 5170 and identifies the read / write performance corresponding to the resource type identified in step S4060 (S4070).

  Next, the migration destination volume performance prediction program 5114 calculates the performance of the migration destination volume in the resource migration specified in step S4060 (S4072). For example, assume that the migration source volume is composed of 1000 segments of resource 1 (average IOPS = 5000), 1000 segments of resource 2 (average IOPS = 6000), and 2000 segments of resource 3 (average IOPS 3000). In the pool corresponding to the migration destination volume, all segments (1000 segments) of the resource 10 are allocated (average IOPS = 4000), all segments (1000 segments) of the resource 11 are allocated (average IOPS = 3000), It is assumed that 2000 out of all 8000 segments of resource 2 can be identified as allocated (average IOPS = 2500).

  In addition, as described above, since the data migration rule of the dynamic virtual volume is migrated to a resource segment with higher performance as data having a higher IOPS, the data on the resource 2 of the migration source volume, the resource of the migration source volume It can be inferred that high-performance resources are allocated in the order of data on 1 and data on migration destination resource 10. Therefore, based on this estimation result, the volume performance at the migration destination can be calculated from the ratio of resources allocated at the migration destination and the media performance.

  For example, the response performance can be calculated by multiplying the ratio of data stored in a plurality of resources having different performance in the migration destination storage apparatus 1000b by the average performance of each resource. Specifically, in the migration destination storage apparatus b, it is assumed that 20% of data is stored in SSD, 60% in FC, and 20% in SATA out of 1 TB (1024 GB) data amount. The average response performance of each resource is assumed to be 1 (Sec) for SSD, 2 (Sec) for FC, and 3 (Sec) for SATA. In this case, the overall average response performance of the migration destination storage apparatus 1000b is calculated by the following equation.

  Further, in this embodiment, it is possible to estimate the volume performance with higher accuracy if the IOPS information for every segment is acquired from the storage apparatus 1000. However, the migration destination volume performance prediction program 5114 executes step S4020. By setting the granularity of statistical information more finely, it is possible to acquire IOPS statistical information with a higher degree of detail. Setting the granularity of statistical information more finely includes, for example, the number of IOPS from 0 to 1000, the number of segments from 1001 to 2000, and the like. As a result, the migration destination volume performance prediction program 5114 can adjust the data transfer amount and the accuracy of the statistical information.

  In addition, the time acquired last time in step S4020 is transmitted to the statistical information creation program 1215, and within the range of statistical information acquired from the statistical information creation program 1215 in step S4030, only for the portions whose configuration has been changed from the last time acquired. Statistical information may be acquired. According to this method, the amount of data transferred between the management computer 5000 and the storage apparatus 1000 can be further reduced.

(3) Other Embodiments In the above-described embodiment, the control device 5200 of the management computer 5000 uses the backup capacity calculation unit and the migration source data of the present invention based on various programs stored in the management computer 5000. Various functions such as a determination unit, a migration destination storage device determination unit, and a data migration instruction unit are realized, but the present invention is not limited to such an example. For example, the control device 5200 may be provided in another device separate from the management computer 5000, and various functions may be realized in cooperation with the CPU. Further, various programs stored in the management computer 5000 may be provided in another device separate from the management computer 5000, and various functions may be realized by calling the program to the control device 5200.

  Further, for example, each step in the processing of the management computer 5000 or the like in this specification does not necessarily have to be processed in time series in the order described as a flowchart. That is, each step in the process of the management computer 5000 or the like may be executed in parallel even if it is a different process.

  In addition, it is possible to create a computer program for causing hardware such as a CPU, ROM, and RAM incorporated in the management computer 5000 or the like to perform the same functions as the components of the management computer 5000 or the like described above. A storage medium storing the computer program is also provided.

  The present invention can be applied to a computer system, a management computer, and a storage management method for managing data migration of a storage apparatus.

1000 Storage device 1100 Disk device 1210 Main memory 1211 Configuration management program 1212 Storage-side physical logical storage area correspondence table 1213 Resource configuration table 1214 Storage-side external storage configuration table 1215 Statistical information creation program 1220 Control device 1230 Host I / F
1240 Management I / F
1250 Disk I / F
1260 External connection I / F
2000 Host computer 2100 Main memory 2200 Control device 2300 Host I / F
2400 Management I / F
3000 data network 4000 management network 5000 management computer 5100 main memory 5110 system management program 5112 data migration required time calculation program 5113 statistical information acquisition program 5150 resource management table 5155 management side external storage configuration table 5160 management side physical logical storage area correspondence table 5170 disk Type performance information table 5180 Port performance information table 5200 Control device 5300 Management I / F
6000 I / O device

Claims (9)

A computer system including a plurality of storage devices, a plurality of host devices, and a management computer that manages the plurality of storage devices and the plurality of host devices,
The storage device
A storage device for storing data read and written by the host computer;
A control device for controlling reading and writing of the data,
The storage device control device is:
Providing a predetermined storage area of the storage device to the host computer as a volume, and providing statistical information about the storage area to the management computer in response to a request from the management computer;
The management computer is
A storage device for storing storage area management information for managing storage areas of the plurality of storage apparatuses;
A control device that manages the configuration of the storage areas of the plurality of storage devices,
The control device of the management computer is
Based on the statistical information, manage the data configuration of the plurality of storage devices,
The control device of the management computer provides the storage device with a storage area unit that is a unit of the statistical information, and a segment allocation number for each resource that is a type and a granularity of the statistical information, or a data occupation ratio in the storage area And
The control device of the storage device generates statistical information about the storage area based on the unit, type, and granularity of the statistical information provided to the management computer,
The control device of the management computer is
A computer system, wherein information relating to the data configuration of the storage device is calculated based on statistical information relating to the storage area of the storage device provided from the storage device. The storage area unit, characterized in that it is a pool, comprised of multiple resources, the computer system according to claim 1. The control device of the management computer is
Calculating a time required for data migration when migrating data stored in the volume of the storage device to another volume based on statistical information regarding the storage area of the storage device provided from the storage device; The computer system according to claim 1, wherein the computer system is characterized by the following. The control device of the management computer is
Based on the statistical information regarding the storage area of the storage device provided from the storage device, the data stored in the volume of the storage device is migrated to another volume. The computer system according to any one of claims 1 to 3, wherein data access performance is calculated. The control device of the storage apparatus allocates an unallocated area of the storage area to the data storage area of the volume in response to a write request by the host computer,
The computer system according to any one of claims 1 to 4, wherein the control device of the management computer manages a data configuration stored in the volume of the storage device. The control device of the storage apparatus dynamically allocates the data stored in the volume to which the storage area has already been allocated to the storage areas having different performances according to the access status of the data. change,
The computer system according to any one of claims 1 to 5, wherein the control device of the management computer manages a data configuration stored in the volume of the storage device. The storage device control device
The computer system according to claim 1, wherein configuration information and performance information of the storage area of the storage device are updated . A plurality of storage devices, a plurality of host devices, and management computers connected to each other via a network,
The storage apparatus provides a predetermined storage area of the storage apparatus to the host computer as a volume, and provides statistical information about the storage area to the management computer in response to a request from the management computer,
The management computer is
A storage device for storing storage area management information for managing storage areas of the plurality of storage apparatuses;
A control device that manages the configuration of the storage areas of the plurality of storage devices,
The control device is
Based on the statistical information, manage the data configuration of the plurality of storage devices,
Providing the storage device with a storage area unit that is a unit of the statistical information, and a segment allocation number for each resource that is a type and a granularity of the statistical information or a data occupancy rate in the storage area;
Calculating information related to the data configuration of the storage device based on statistical information relating to the storage area of the storage device based on a unit, type, and granularity of the statistical information provided from the storage device. , Management calculator. A storage management method in a computer system including a plurality of storage devices, a plurality of host devices, and a management computer that manages the plurality of storage devices and the plurality of host devices,
A first step in which the storage device provides a predetermined storage area of the storage device to the host computer as one or more volumes;
A second step in which the management computer requests statistical information about the storage area from the storage device;
A third step in which the storage device provides statistical information about the storage area to the management computer in response to a request from the management computer;
A fourth step in which the management computer manages the data configuration of the plurality of storage devices based on the statistical information;
The management computer provides the storage apparatus with a storage area unit that is a unit of the statistical information, and a segment allocation number for each resource that is a type and a granularity of the statistical information or a data occupancy rate in the storage area. And the steps
A sixth step in which the storage device generates statistical information on the storage area based on a unit, type, and granularity of the statistical information provided to the management computer;
A seventh step in which the management computer calculates information relating to the data configuration of the storage device based on statistical information relating to the storage area of the storage device provided from the storage device;
A storage management method.