WO2018029781A1 - 管理計算機、性能監視方法及び計算機システム - Google Patents
管理計算機、性能監視方法及び計算機システム Download PDFInfo
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- WO2018029781A1 WO2018029781A1 PCT/JP2016/073427 JP2016073427W WO2018029781A1 WO 2018029781 A1 WO2018029781 A1 WO 2018029781A1 JP 2016073427 W JP2016073427 W JP 2016073427W WO 2018029781 A1 WO2018029781 A1 WO 2018029781A1
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- G—PHYSICS
- G06—COMPUTING; CALCULATING OR COUNTING
- G06F—ELECTRIC DIGITAL DATA PROCESSING
- G06F11/00—Error detection; Error correction; Monitoring
- G06F11/30—Monitoring
- G06F11/34—Recording or statistical evaluation of computer activity, e.g. of down time, of input/output operation ; Recording or statistical evaluation of user activity, e.g. usability assessment
- G06F11/3466—Performance evaluation by tracing or monitoring
- G06F11/3495—Performance evaluation by tracing or monitoring for systems
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- G—PHYSICS
- G06—COMPUTING; CALCULATING OR COUNTING
- G06F—ELECTRIC DIGITAL DATA PROCESSING
- G06F11/00—Error detection; Error correction; Monitoring
- G06F11/30—Monitoring
- G06F11/34—Recording or statistical evaluation of computer activity, e.g. of down time, of input/output operation ; Recording or statistical evaluation of user activity, e.g. usability assessment
- G06F11/3409—Recording or statistical evaluation of computer activity, e.g. of down time, of input/output operation ; Recording or statistical evaluation of user activity, e.g. usability assessment for performance assessment
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- G—PHYSICS
- G06—COMPUTING; CALCULATING OR COUNTING
- G06F—ELECTRIC DIGITAL DATA PROCESSING
- G06F11/00—Error detection; Error correction; Monitoring
- G06F11/30—Monitoring
- G06F11/34—Recording or statistical evaluation of computer activity, e.g. of down time, of input/output operation ; Recording or statistical evaluation of user activity, e.g. usability assessment
- G06F11/3452—Performance evaluation by statistical analysis
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- G—PHYSICS
- G06—COMPUTING; CALCULATING OR COUNTING
- G06F—ELECTRIC DIGITAL DATA PROCESSING
- G06F9/00—Arrangements for program control, e.g. control units
- G06F9/06—Arrangements for program control, e.g. control units using stored programs, i.e. using an internal store of processing equipment to receive or retain programs
- G06F9/44—Arrangements for executing specific programs
- G06F9/455—Emulation; Interpretation; Software simulation, e.g. virtualisation or emulation of application or operating system execution engines
- G06F9/45533—Hypervisors; Virtual machine monitors
- G06F9/45558—Hypervisor-specific management and integration aspects
- G06F2009/45595—Network integration; Enabling network access in virtual machine instances
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- G—PHYSICS
- G06—COMPUTING; CALCULATING OR COUNTING
- G06F—ELECTRIC DIGITAL DATA PROCESSING
- G06F2201/00—Indexing scheme relating to error detection, to error correction, and to monitoring
- G06F2201/81—Threshold
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- G—PHYSICS
- G06—COMPUTING; CALCULATING OR COUNTING
- G06F—ELECTRIC DIGITAL DATA PROCESSING
- G06F9/00—Arrangements for program control, e.g. control units
- G06F9/06—Arrangements for program control, e.g. control units using stored programs, i.e. using an internal store of processing equipment to receive or retain programs
- G06F9/44—Arrangements for executing specific programs
- G06F9/455—Emulation; Interpretation; Software simulation, e.g. virtualisation or emulation of application or operating system execution engines
- G06F9/45533—Hypervisors; Virtual machine monitors
- G06F9/45558—Hypervisor-specific management and integration aspects
Definitions
- the present invention relates to a technique for monitoring the performance of a computer system.
- Patent Document 1 As a method for detecting the occurrence of a failure by monitoring the performance of the IT infrastructure system, monitoring using a static threshold value that fixes a set value is widely adopted.
- a monitoring technique using a dynamic threshold is known (for example, Patent Document 1).
- the system operation management apparatus assigns a judgment criterion in future failure detection from the correlation model of performance information, and detects the failure.
- the user inputs parameters such as a threshold calculation method and an initial value.
- This dynamic threshold value calculation method and parameter input require the user to make a judgment based on the characteristics and configuration of the device, and depending on the user's experience to set appropriately.
- the present invention has been made in view of the above problems, shortens the period until deriving an appropriate threshold, and appropriately sets dynamic threshold calculation methods and parameters regardless of user experience.
- the purpose is to do.
- the present invention is a management computer having a processor and a memory for monitoring the performance of a component of a computer system, and storing attribute information for storing characteristic information of the component and a connection relationship between the components.
- the processor receives the component to be added or updated, the processor updates the attribute information and the component-related information. Then, the processor determines a combination of the component element and the characteristic information based on the component related information and the attribute information, and specially determines between the component elements.
- the similarity of information is calculated, and the processor selects a component that satisfies a predetermined condition of the similarity of the characteristic information, acquires a dynamic threshold value calculation method set for the component, and receives the acceptance
- the dynamic threshold value calculation information is registered in the dynamic threshold value calculation information.
- VM attribute management table
- FIG. 1 is a block diagram showing an example of a computer system according to an embodiment of the present invention.
- the computer system includes physical computers 1-A and 1-B that operate one or more virtual computers 12-1 to 12-x, and storage 2-A to provide storage areas to the virtual computers 12-1 to 12-x.
- Management server 3 for managing 2-C, physical computers 1-A and 1-B, and storages 2-A to 2-C, physical computers 1-A and 1-B, and storages 2-A to 2- C and a switch 5 for connecting the management servers 3 to each other.
- the entire physical computers 1-A and 1-B are represented by symbols without “ ⁇ ”. The same applies to the reference numerals of other components.
- the physical computer 1-A has a hardware 17 including a processor 13, a memory 14, an HBA (Host Bus Adapter) 15, and a NIC (Network Interface Card) 16, and the hardware 17 is virtualized (or logically divided).
- the computer includes the hypervisor 11 assigned to the virtual machines 12-1 to 12-x and the OS 18 executed on the virtual machine 12.
- the physical computer 1-B has the same configuration.
- the storage 2 provides a volume (VOL in the figure) 20 as a storage area to the virtual machines 12 provided by the physical machines 1-A and 1-B.
- the management server 3 controls the configuration of the virtual machine 12 operating on the physical machine 1 and the volume 20 allocated to the virtual machine 12.
- the switch 5 can be composed of a plurality of switches that provide a network that connects the HBA 15 of the physical computer 1, the storage 2, and the management server 3, and a network that connects the NIC 16 of the physical computer 1 and the management server 3.
- the management server 3 monitors the constituent elements of the computer system such as the virtual machine 12 and the volume 20, and sets a threshold for monitoring the corresponding constituent elements when the configuration is changed.
- the management server 3 of this embodiment sets a threshold value calculation method and parameters that can dynamically change the threshold value for each component.
- the program for monitoring the computer system updates the threshold value with the threshold value calculation method and parameters set by the management server 3 at a predetermined timing, and continues monitoring the components.
- an example in which a performance monitoring program for monitoring the performance of a component uses a dynamic threshold calculation method and parameters set by the management server 3 as a program for monitoring the performance of the component of the computer system.
- the dynamic threshold calculation method and parameters set by the management server 3 are not limited to performance monitoring, but are applied to threshold calculation methods and parameters such as failure detection, configuration monitoring, and unauthorized access monitoring. can do.
- the generation of the virtual machine 12 and the assignment of the hardware 17 and the assignment of the volume 20 to the virtual machine 12 may be executed by a server other than the management server 3.
- the management server 3 of the present embodiment specifies a component for setting or updating the dynamic threshold calculation method at a predetermined trigger (for example, when a component is added or changed), the characteristic information included in the component, Get associations between components.
- the management server 3 calculates the similarity of the characteristic information between the constituent elements from the characteristic information of the constituent elements to be set from these pieces of information.
- the management server 3 selects a component with high similarity based on the similarity.
- the management server 3 applies the dynamic threshold calculation method and parameters set for the selected component to the configuration target component.
- the management server 3 calculates the threshold value of the configuration target element using the dynamic threshold value calculation method and parameters, and monitors the performance of each configuration element.
- FIG. 2 is a block diagram illustrating an example of the management server 3.
- the management server 3 is a computer that includes a processor 31, a memory 32, a storage device 33, a communication I / F 34, and an input / output device 35.
- the dynamic threshold value calculation program 41, the dynamic threshold value calculation method generation program 42, and the performance monitoring program 43 are loaded in the memory 32 and executed by the processor 31.
- the storage device 33 stores a table used by each program.
- the storage device 33 includes an attribute management table 50, a related component management table (component related information) 51, a similar device configuration table 52, a similarity table 53, a parameter table 54, a threshold table 55, and a dynamic threshold calculation.
- a method table 56, a component / performance value association table (performance value related information) 57, and a performance value DB (performance information storage unit) 58 are included. Details of each table will be described later.
- the communication I / F 34 is connected to the switch 5 and can communicate with devices on the network.
- the input / output device 35 includes a keyboard, a mouse, a touch panel, and a display.
- the dynamic threshold value calculation program 41 is called from the performance monitoring program 43 or the like at a predetermined timing and dynamically updates the threshold value table 55 as will be described later.
- the dynamic threshold value calculation method generation program 42 is executed when a component is added or updated, and the similarity is calculated from the configuration information of the component for which the dynamic threshold is set.
- the dynamic threshold value calculation method and parameters of the configuration target component are determined from the similarity.
- the performance monitoring program 43 acquires the performance information of each component, updates the performance value DB, and compares the threshold value calculated by the dynamic threshold value calculation method with the performance value. If the performance value satisfies a predetermined condition with respect to the threshold value, the performance monitoring program 43 executes predetermined processing such as resource allocation change or migration.
- Information such as programs and tables for realizing each function of the management server 3 is stored in the storage device 33, storage subsystem, nonvolatile semiconductor memory, hard disk drive, storage device such as SSD (Solid State Drive), IC card, SD, etc. It can be stored in a computer-readable non-transitory data storage medium such as a card or DVD.
- FIG. 3 is a block diagram illustrating an example of the storage 2-A. Since the configurations of the other storages 2-B and 2-C are the same, the description overlapping with the storage 2-A is omitted.
- the storage 2-A is connected to MPBs (Multiple Processors Blades) 24-1 to 24-3 that function as control units, CLPRs (Cache Logical Units) 25-1 and 25-2 that control shared memory, and the switch 5.
- Network I / F 27 an interface 23 connected to a plurality of storage devices 22, and an internal network 26 that interconnects these components.
- the storage 2-A can allocate the storage area of the physical storage device 22 to the logical storage areas (pools) 21-1 and 21-2.
- the storage 2-A assigns the logical storage areas assigned to the pools 21-1 and 21-2 to the volume VOLs 1 to 4 (20-1 to 20-4) that become virtual storage areas in response to a request from the management server 3 or the like.
- the virtual machine 12 mounts the volume VOL20 provided from the storage 2-A, and executes reading and writing.
- the storage 2-A allocates pool 1 (21-1) and pool 2 (21-2) to the storage areas of the plurality of storage devices 22, and the volumes 1 to 3 from the pool 1 (21-1).
- An example is shown in which (20-1 to 20-3) are generated and volume 4 (20-4) is generated from pool 2 (21-2).
- FIG. 4A is a diagram showing an example of the attribute management table 50-A.
- FIG. 4B is a diagram showing an example of the attribute management table 50-B.
- the attribute management table 50 is a table that is registered or updated by the management server 3 when a component to be monitored is generated (or changed).
- the virtual machine 12 and the volume 20 are used as the components to be monitored. The example which adopted is shown. Since the attribute management table 50 has different requirements such as performance for each type of component, tables in different formats are set.
- the component to be monitored may be a logical (or virtualized) computer resource that can be generated, moved, stopped, or deleted during operation of the computer system.
- the attribute management table 50-A in FIG. 4A is assigned to a starting point 501 for storing the identifier of the virtual machine 12 (component), an OS 502 for storing the type of OS executed on the virtual machine 12, and the virtual machine 12
- One CPU 503 for storing the number of cores of the processor 13, a memory 504 for storing the capacity of the memory 14 allocated to the virtual machine 12, and a disk 505 for storing the capacity of the volume 20 allocated to the virtual machine 12. Included in the entry.
- the virtual machine 12 is set as a constituent element of the physical machine 1 at the starting point 501, and the OS 502 to Disk 505 handle it as characteristic information indicating the characteristic of the virtual machine 12.
- the attribute management table 50-B in FIG. 4B includes the starting point 501 for storing the identifier of the volume 20, the storage 506 for storing the identifier of the storage providing the volume 20, and the identifier of the MPB 24 used by the volume 20.
- the MPB 507 to be stored the CLPR 508 that stores the identifier of the CLPR 25 used by the volume 20, the Pool 509 that stores the identifier of the pool 21 that provides the storage area of the volume 20, and the capacity allocated to the volume 20
- the storage capacity 510 is included in one entry.
- the attribute management table 50-A stores information on the virtual machine 12 generated in the physical computer 1, and the attribute management table 50-B stores information on the volume VOL 20 generated in the storage 2.
- the volume VOL20 is set as a component of the storage 2 at the starting point 501, and the storages 506 to 510 are handled as characteristic information indicating the characteristics of the volume VOL20.
- FIG. 5A is a diagram showing an example of the related component management table 51-A.
- FIG. 5B is a diagram showing an example of the related component management table 51-B.
- the related component management table 51 is a table that is registered or updated when the management server 3 assigns the volume VOL 20 to the virtual machine 12.
- the table for specifying the storage of the volume VOL 20 used by the virtual machine 12 is the related component management table 51-A, and the table for specifying the virtual machine 12 on the hypervisor 11 using the volume VOL 20 is used. Is the related component management table 51-B.
- the related component management table 51-A in FIG. 5A includes a starting point 511 for storing the identifier of the virtual machine 12, a Volume 512 for storing the identifier of the volume VOL 20 allocated to the virtual machine 12, and a storage for providing the volume VOL 20 Storage 513 for storing the identifier is included in one entry.
- the related component management table 51-B in FIG. 5B uses the starting point 511 for storing the identifier of the volume 20, the HYP 514 to which the volume VOL20 is allocated and storing the identifier of the hypervisor 11, and the volume 20.
- the VM 515 that stores the identifier of the virtual machine 12 is included in one entry.
- FIG. 6 is a diagram illustrating an example of the similar device configuration table 52.
- the similar device configuration table 52 is a table generated by the management server 3 when the virtual machine 12 is generated and the volume VOL 20 is allocated.
- the similar device configuration table 52 includes a starting point 521 for storing the identifier of the virtual machine 12, an OS 522 for storing the type of OS running on the virtual machine 12, and a CPU for storing the number of cores of the processor 13 assigned to the virtual machine 12.
- One entry includes a volume 526 to be stored and a storage 527 for storing an identifier of the storage that provides the volume VOL20.
- the similar device configuration table 52 is a table in which the elements of the attribute management tables 50-A and 50-B are linked based on the relationship between the virtual machine 12 and the volume VOL 20 in the related component management table 51.
- FIG. 6 shows an example in which the identifier of the virtual machine 12 is set as a component at the starting point 521, the identifier of the volume VOL 20 can also be set as a component as will be described later.
- the identifier of the volume VOL 20 that is a component related to the virtual machine 12 at the starting point 521 is stored in the Volume 526. That is, one of the mutually related components can be set as the starting point 521, and the other component can be handled in the same manner as other characteristic information. The relationship between the component of the starting point and the component included in the characteristic information is the same in other tables.
- FIG. 7 is a diagram illustrating an example of the similarity table 53.
- the similarity table 53 is a table that stores the similarity of the configuration of the virtual machine 12 calculated by the virtual machine 12.
- the similarity of the other virtual machines 12 (VM2 to VM4) to the configuration of the virtual machine 12 (VM1) is shown.
- the similarity is higher as the value is smaller, and the similarity is lower as the value is larger.
- FIG. 8 is a diagram illustrating an example of the threshold value table 55.
- the threshold table 55 holds values calculated by the management server 3 using the dynamic threshold calculation method and parameters set in the dynamic threshold calculation method table 56 and the parameter table 54 for each performance value of each component.
- the threshold table 55 includes a starting point 551 for storing the identifier of the virtual machine 12 and performance values 1 (552) to 5 (556) for storing the threshold value for each performance value in one entry.
- the dynamic threshold calculation program 41 of the management server 3 updates the threshold table 55 by a dynamic threshold calculation method at a predetermined timing. Then, the performance monitoring program 43 compares the performance value acquired from the component to be monitored with the threshold value in the threshold value table 55 and performs predetermined processing such as resource shortage and failure detection.
- the performance values 1 (552) to 5 (556) in the threshold value table 55 depend on the dynamic threshold value calculation method for the performance values 1 to 5 set in the dynamic threshold value calculation method table 56, as will be described later.
- the calculation result is stored.
- the management server 3 dynamically updates the threshold table 55 by calculating a threshold using a dynamic threshold calculation method and parameters at a predetermined timing such as a predetermined cycle.
- FIG. 9 is a diagram illustrating an example of the dynamic threshold calculation method table 56.
- the dynamic threshold calculation method table 56 the calculation method selected by the dynamic threshold calculation method generation program 42 of the management server 3 for each of the performance values 1 to 5 is set.
- the dynamic threshold calculation method table 56 and the threshold table 55 include a starting point 551 for storing the identifier of the virtual machine 12, and performance values 1 (552) to 5 (for storing the dynamic threshold calculation method for each performance value). 556) is included in one entry.
- preset calculation methods such as outlier removal by LOF (Local Outlier Factor), maximum value, average filter (moving average) value, median filter value, etc. are set as methods A to H in the figure. Keep it.
- LOF Local Outlier Factor
- maximum value maximum value
- average filter moving average value
- median filter value etc.
- FIG. 10 is a diagram illustrating an example of a relation table 57 between component elements and performance values.
- the association table 57 between the component elements and the performance value is information set in advance in the management server 3.
- the component / performance value association table 57 includes, in one entry, a performance value 571 for storing the name of the performance value and a related component 572 for storing characteristic information of the component related to the performance value.
- the related component 572 stores one or more characteristic information included in the component.
- the component 572 whose performance value 571 corresponds to “CPU Use Rate” is defined as “OS” and “CPU”, and the OS type and the number of CPUs are defined as related to the usage rate of the processor 31. Yes.
- OS and CPU are defined for the component 572 whose performance value 571 corresponds to “CPU Ready Rate”, and the OS type and the number of CPUs are defined to be related to the usage rate of the processor 31.
- CPU Ready Rate indicates the ratio of the time when the processor 31 assigned to the virtual machine 12 is in a waiting state due to contention with another virtual machine 12.
- the component 572 corresponding to “Disk Read Rate” and “Disk Write Rate” is defined as “Disk”, “Volume”, and “Storage” related to each other. Further, each row of the performance value 571 corresponds to the performance values 1 to 5 of the threshold value table 55 and the dynamic threshold value calculation method table 56.
- FIG. 11 is a diagram illustrating an example of the parameter table 54.
- the parameter table 54 stores values selected by the dynamic threshold value calculation method generation program 42 of the management server 3.
- the parameter table 54 includes a starting point 541 for storing the identifier of the virtual machine 12 and performance values 1 (542) to 5 (546) for storing parameters for each performance value in one entry.
- parameters used in the methods A to H of the dynamic threshold value calculation method table 56 in FIG. 9 are stored.
- parameters one or more parameters can be stored in accordance with the methods A to H, such as initial values, filter cutoff values, and recalculation cycles.
- the performance value DB 58 stores the performance values of the monitoring target components acquired by the performance monitoring program 43 at a predetermined cycle.
- the performance value DB 58 has a virtual format in the same format as the threshold value table 55 and the dynamic threshold value calculation method table 56.
- the performance values 1 to 5 can be stored in time series using the computer 12 as an index.
- FIG. 12 is a diagram illustrating a process of generating a similar device configuration table.
- the illustrated example shows a process in which the management server 3 generates the similar device configuration table 52 when the virtual machine 12-1 (VM1) and the volume VOL1 (20-1) are added.
- VM1 virtual machine 12-1
- VOL1 volume of processing
- the management server 3 When the virtual machine 12-1 (VM1) is generated and the volume VOL1 (20-1) is assigned to the virtual machine 12-1 (VM1), the management server 3 registers it in the attribute management table 50 and the related component management table 51. .
- the management server 3 acquires the relationship with the storage 2 of the volume VOL 20 allocated to the added virtual machine 12 from the related component management table 51-A.
- the management server 3 acquires the characteristic information of the constituent elements of the attribute management tables 50-A and 50-B, and the relationship between the virtual machine 12 set in the related component management table 51-A and the storage 2 of the volume VOL20.
- a similar device configuration table 52 is generated. Thereafter, the management server 3 calculates the similarity as shown in FIG.
- FIG. 13 is a diagram illustrating a process of generating a similar device configuration table.
- the management server 3 when the volume VOL1 (20-1) to be allocated to the virtual machine VM1 (12-1) is added, the management server 3 generates a similar device configuration table 52 starting from the volume VOL1 (20-1). Shows the process.
- the management server 3 acquires the relationship between the added volume VOL20 and the hypervisor 11 of the virtual machine 12 to which the volume VOL20 is allocated from the related component management table 51-B.
- the management server 3 acquires information on the components of the attribute management tables 50-A and 50-B, and is similar in the relationship between the volume VOL 20 set in the related component management table 51-B and the hypervisor 11 of the virtual machine 12.
- a device configuration table 52-B is generated. Thereafter, as described above, the management server 3 calculates the similarity as shown in FIG.
- the similar device configuration table 52-B stores the identifier of the volume VOL 20 as a starting point, and includes columns of Storage, MPB, CLPR, Pool, capacity, HYP, and VM.
- the format of the similar device configuration table 52-B can be changed according to the type of the component that is the starting point.
- the format of the similar device configuration table 52-B is set in advance according to the type of component.
- FIG. 14 is a diagram showing a process of generating a similarity table 53 from the similar device configuration table 52 and selecting similar components.
- the management server 3 determines the similarity of the characteristic information between the components for the added virtual machine VM1 (12-1) from the similar equipment configuration table 52 generated as shown in FIG. 12 (or FIG. 13).
- the similarity table 53 is generated by calculating for each characteristic information of VM2 to VM4.
- the management server 3 acquires characteristic information for comparing the similarity between the constituent elements from the related constituent elements 572 in the relation table 57 of the constituent elements and the performance values.
- characteristic information for comparing the similarity between the constituent elements from the related constituent elements 572 in the relation table 57 of the constituent elements and the performance values.
- an example is shown in which the similarity of characteristic information between components is compared with three performance values.
- the management server 3 selects similar components based on a plurality of performance values. For example, when the performance value is “Memory Use Rate” and “DISK READ / WRITE RATE”, VM4 with the smallest value of Memory 534 and VM3 with the sum of Disk 535, Volume 536, and Storage 537 as the high similarity components select.
- a component with high similarity is a component with which similarity satisfies a predetermined condition, and in this embodiment, the component has the minimum similarity.
- the management server 3 selects the VM 4 having the highest similarity (minimum similarity) among the selected components, and the dynamic threshold value calculation method (methods B, E, F, G) set for the VM 4 , B) and parameters are set as generation of a dynamic threshold value calculation method of the virtual machine VM1 (12-1).
- the most frequently used for each performance value of each component among the multiple dynamic threshold calculation methods and parameters is selected. Thereby, it is possible to set an optimal dynamic threshold value calculation method and parameters from components having high similarity.
- parameters that satisfy preset criteria such as the average value of parameters set for these components and the most used values are adopted. You may make it do.
- the performance value for selecting the component based on the similarity may be one or more, and the performance value to be used among the performance values set in the relationship table 57 (performance value related information) between the component and the performance value. May be specified.
- the predetermined condition for selecting a component with high similarity is not limited to the component with the minimum similarity, but includes the similarity of other components to which the component is connected. May be.
- FIG. 15 is a flowchart illustrating an example of processing performed in the management server. This process is a process executed by the dynamic threshold value calculation method generation program 42 when a monitoring target component is added. Note that the processing may be executed when a component to be monitored is changed.
- the dynamic threshold value calculation method generation program 42 of the management server 3 receives the attribute and relationship of the added component via the input / output device 35, and manages the attribute.
- the component is registered in the table 50 and the related component management table 51 (S2).
- the dynamic threshold value calculation method generation program 42 of the management server 3 calculates the similarity degree of the characteristic information of the other constituent elements with respect to the characteristic information of the added constituent elements (S3). .
- the management server 3 reads the related component management table 51, determines a combination of each component and characteristic information, and generates a similar device configuration table 52 by connecting the related component management table 51 and the attribute management table 50.
- the management server 3 calculates the similarity of other components with respect to the added component for each characteristic information of the similar device configuration table 52, and generates the similarity table 53.
- the management server 3 selects a highly similar component from the similarity of the characteristic information in the similarity table 53. Then, the management server 3 selects a dynamic threshold calculation method and a parameter for each performance value of the component from the dynamic threshold calculation method table 56 and the parameter table 54 of the selected component, and moves the added component
- the dynamic threshold value calculation method and parameters are set in the dynamic threshold value calculation method table 56 and the parameter table 54 (S4). Thereafter, the management server 3 calculates the threshold value of the added component based on the dynamic threshold value calculation method table 56 and the parameter table 54 and stores the calculated threshold value in the threshold value table 55.
- the management server 3 executes the performance monitoring program 43 in step S5, acquires the performance value, and stores it in the performance value DB 58.
- the performance monitoring program 43 compares the acquired performance values with the values in the threshold table 55 and executes predetermined processing such as resource shortage or abnormality detection.
- the management server 3 determines whether or not it is an opportunity to review the dynamic threshold value calculation method in step S6. If it is a predetermined opportunity to review the dynamic threshold calculation method (resource shortage or failure), the process returns to step S2 and the above processing is repeated. On the other hand, if it is not an opportunity to review the dynamic threshold value calculation method, the process returns to step S5 and the performance value monitoring is continued.
- the dynamic threshold calculation method and parameters set for the component with high similarity among the components already in operation are applied to the added component. By doing so, it is possible to shorten the period until deriving an appropriate threshold value, and to appropriately set the dynamic threshold value calculation method and the parameter setting regardless of the user's experience.
- the administrator or the like may determine the dynamic threshold calculation method for each of the performance values 1 to 5 in the dynamic threshold calculation method table 56 and generate the threshold table 55.
- step S6 in addition to the processing of the performance monitoring program 43, when a command from an administrator or the like is accepted, the process returns to step S2 to change the components. Or the processing may be terminated.
- FIG. 16 is a flowchart showing an example of similarity calculation processing performed in step 3 of FIG.
- the management server 3 acquires the relationship between the components of the related component management table 51 and acquires characteristic information of the related components from the attribute management table 50.
- step S12 the characteristic information acquired from the attribute management table 50 by the management server 3 is combined with related components in the related component management table 51 to generate a similar device configuration table 52.
- step S ⁇ b> 13 the management server 3 calculates the similarity for each characteristic of the similar device configuration table 52.
- step S13 the similarity of each characteristic information calculated from the similar device configuration table 52 by the management server 3 is stored in the column of the similarity table 53, and the similarity table 53 is generated.
- the management server 3 generates the similar device configuration table 52 by combining the information of the attribute management table 50 from the relevance between the components of the related component management table 51. Then, the similarity degree table 53 can be generated by calculating the similarity degree from the value of the characteristic information of the added constituent element and the characteristic information of the column of the existing constituent element.
- FIG. 17 is a flowchart showing an example of the dynamic threshold value calculation method and parameter selection processing performed in step 4 of FIG.
- step S21 the management server 3 selects one of performance values 1 to 5 not set in the dynamic threshold calculation method table 56 for the added component. This process may be selected by the management server 3 according to the column order or the like.
- the management server 3 refers to the component / performance value association table 57 and acquires characteristic information of the component associated with the selected performance value. For example, when the performance value 571 of “CPU USE RATE” is selected, the management server 3 sets “OS” and “CPU count” as characteristic information included in the component from the relation table 57 of the component and performance value. select. Next, in step S23, the management server 3 refers to the similarity table 53 and acquires the similarity of the selected characteristic information.
- step S24 the management server 3 acquires resource information for the selected component.
- the similarity table 53 is input as resource information, and the management server 3 acquires n similarities of the characteristic information of the selected component from the similarity table 53.
- the management server 3 selects a starting point 561 that matches the starting point 531 from the dynamic threshold value calculating method table 56, and selects the dynamic threshold value calculating method (method B) set in the characteristic information of the entry (VM4). get. Then, the management server 3 sets the dynamic threshold value calculation method in the dynamic threshold value calculation method table 56 as the dynamic threshold value calculation method for the unset performance value selected in step S21.
- step S26 the management server 3 acquires resource information using the dynamic threshold value calculation method determined in step S25. That is, the management server 3 selects m entries including the dynamic threshold value calculation method determined in step S25 in the performance value column of the dynamic threshold value calculation method table 56 corresponding to the performance value selected in step S21.
- step S27 the management server 3 acquires the starting points 531 of the m entries selected in step S26, and selects an entry that matches the starting points 531 of the m entries from the starting points 541 of the parameter table 54.
- the management server 3 acquires the parameters set in the performance values (552 to 556) of the entry selected in the parameter table 54. Then, the management server 3 sets the parameter in the parameter table 54 corresponding to the unset performance value selected in step S21.
- step S28 the management server 3 updates the dynamic threshold value calculation method table 56 and the parameter table 54.
- step S29 it is determined whether or not there is a performance value to be set next among the added components. That is, if there is an unset performance value, the process returns to step S21 to repeat the above process, and if the dynamic threshold value calculation method and parameter settings have been completed for all performance values of the added component, the process ends. .
- the management server 3 reads the updated dynamic threshold calculation method table 56 and the parameter table 54 by starting the dynamic threshold calculation program 41 at a predetermined timing (for example, a predetermined cycle), The threshold value is calculated and the threshold value table 55 is dynamically updated.
- the management server 3 when the management server 3 receives a component to be added or updated, the management server 3 updates the attribute management table 50 and the related component management table 51, and the related component management table 51 and the attribute management table. 50, the combination of the component and the characteristic information is determined to generate the similar device configuration table 52, and the similarity of the characteristic information between the components is calculated based on the similar device configuration table 52. Then, the management server 3 selects a component whose characteristic information similarity satisfies a predetermined condition, acquires the dynamic threshold value calculation method set for the component from the dynamic threshold value calculation method table 56, and accepts it. Are registered in the dynamic threshold value calculation method table 56 as the dynamic threshold value calculation method for the component.
- the threshold value table 55 is updated in the dynamic threshold value calculation method table 56 to shorten the period until the appropriate threshold value is derived, and the setting of the dynamic threshold value calculation method and the parameter setting are performed by the user. It is possible to set optimally without depending on the experience of the administrator.
- each of the above-described configurations, functions, processing units, processing means, and the like may be realized by hardware by designing a part or all of them with, for example, an integrated circuit.
- each of the above-described configurations, functions, and the like may be realized by software by the processor interpreting and executing a program that realizes each function.
- Information such as programs, tables, and files that realize each function can be stored in a memory, a hard disk, a recording device such as an SSD (Solid State Drive), or a recording medium such as an IC card, an SD card, or a DVD.
- control lines and information lines indicate what is considered necessary for the explanation, and not all the control lines and information lines on the product are necessarily shown. Actually, it may be considered that almost all the components are connected to each other.
- the dynamic threshold value calculation method and program used by components having high similarity are set in the dynamic threshold value calculation method table 56 and the parameter table 54 of the setting target component. Therefore, it is possible to shorten the period until deriving an appropriate threshold value, and to appropriately set the dynamic threshold value calculation method setting and parameter setting regardless of the experience of a user such as a computer system administrator. .
- the present invention may be configured as follows.
- a storage medium storing a program for controlling a computer having a processor and a memory, A first step of storing characteristic information of the component in attribute information; A second step of storing a connection relationship between the components in component-related information; A third step of storing a threshold in the threshold information for each piece of performance information of the component; A fourth step of setting a dynamic threshold calculation method for dynamically updating the threshold to dynamic threshold calculation information for each piece of performance information of the component; A fifth step of setting, in the performance-related information, characteristic information of the component related to the performance information; A sixth step of accepting a component to be added or updated and updating the attribute information and component-related information; A seventh step of determining a combination of the component element and the characteristic information based on the component-related information and the attribute information, and calculating the similarity of the characteristic information between the component elements; An eighth step of selecting a component in which the similarity of the characteristic information satisfies a predetermined condition; A ninth step of acquiring a dynamic threshold value calculation method set for the selected component and registering it
Abstract
Description
以下、本実施例の管理サーバ3が行う動的閾値算出方法及びパラメータの設定処理の概要について説明する。
図2は、管理サーバ3の一例を示すブロック図である。管理サーバ3は、プロセッサ31と、メモリ32と、記憶装置33と、通信I/F34と、入出力装置35を含む計算機である。
図3は、ストレージ2-Aの一例を示すブロック図である。他のストレージ2-B、2-Cの構成も同様であるので、ストレージ2-Aと重複する説明は省略する。
以下、管理サーバ3の記憶装置33に格納された各テーブルについて説明する。図4Aは、属性管理テーブル50-Aの一例を示す図である。また、図4Bは、属性管理テーブル50-Bの一例を示す図である。
図12は、類似機器構成テーブルを生成する過程を示す図である。図示の例では、仮想計算機12-1(VM1)とボリュームVOL1(20-1)が追加されたときに、管理サーバ3が類似機器構成テーブル52を生成する過程を示す。
次に、管理サーバ3で行われる処理の詳細について、以下に説明する。図15は、管理サーバで行われる処理の一例を示すフローチャートである。この処理は、監視対象の構成要素の追加を行ったときに動的閾値算出方法生成プログラム42で実行される処理である。なお、監視対象の構成要素の変更を行ったときに当該処理を実行しても良い。
類似度 = |D1-D2|/D1
とし演算することができる。なお、構成要素の項目の値がテキストの場合には、D1=D2であれば類似度=0とし、D1<>D2であれば類似度=1とすればよい。
なお、本発明は上記した実施例に限定されるものではなく、様々な変形例が含まれる。例えば、上記した実施例は本発明を分かりやすく説明するために詳細に記載したものであり、必ずしも説明した全ての構成を備えるものに限定されるものではない。また、ある実施例の構成の一部を他の実施例の構成に置き換えることが可能であり、また、ある実施例の構成に他の実施例の構成を加えることも可能である。また、各実施例の構成の一部について、他の構成の追加、削除、又は置換のいずれもが、単独で、又は組み合わせても適用可能である。
なお、本発明は、次のような構成であっても良い。
前記構成要素の特性情報を属性情報に格納する第1のステップと、
前記構成要素間の接続関係をコンポーネント関連情報に格納する第2のステップと、
前記構成要素の性能情報毎に閾値を閾値情報へ格納する第3のステップと、
前記閾値を動的に更新する動的閾値算出方法を前記構成要素の性能情報毎に動的閾値算出情報に設定する第4のステップと、
前記性能情報に関連する構成要素の特性情報を性能関連情報に設定する第5のステップと、
追加または更新する構成要素を受け付けて、前記属性情報とコンポーネント関連情報を更新する第6のステップと、
前記コンポーネント関連情報と前記属性情報に基づいて、構成要素と特性情報の組み合わせを決定し、前記構成要素間で特性情報の類似度を算出する第7のステップと、
前記特性情報の類似度が所定の条件を満たす構成要素を選択する第8のステップと、
前記選択された構成要素に設定された動的閾値算出方法を取得して、前記受け付けた構成要素の前記動的閾値算出方法として動的閾値算出情報に登録する第9のステップと、
を前記計算機に実行させるプログラムを格納した非一時的な計算機読み取り可能な記憶媒体。
Claims (15)
- プロセッサとメモリを有して計算機システムの構成要素の性能を監視する管理計算機であって、
前記構成要素の特性情報を格納する属性情報と、
前記構成要素間の接続関係を格納するコンポーネント関連情報と、
前記構成要素の性能情報毎に閾値を格納する閾値情報と、
前記閾値を動的に更新する動的閾値算出方法を前記構成要素の性能情報毎に予め設定した動的閾値算出情報と、
前記性能情報に関連する構成要素の特性情報を予め設定した性能関連情報と、を有し、
前記プロセッサは、追加または更新する構成要素を受け付けると、前記属性情報とコンポーネント関連情報を更新し、
前記プロセッサは、前記コンポーネント関連情報と前記属性情報に基づいて、構成要素と特性情報の組み合わせを決定し、前記構成要素間で特性情報の類似度を算出し、
前記プロセッサは、前記特性情報の類似度が所定の条件を満たす構成要素を選択して、当該構成要素に設定された動的閾値算出方法を取得して、前記受け付けた構成要素の前記動的閾値算出方法として動的閾値算出情報に登録することを特徴とする管理計算機。 - 請求項1に記載の管理計算機であって、
前記プロセッサは、予め設定された性能値と特性情報の関係を設定した性能値関連情報に基づいて前記構成要素間の特性情報の類似度を集計した後に、当該集計した類似度が所定の条件を満たす構成要素を選択することを特徴とする管理計算機。 - 請求項2に記載の管理計算機であって、
前記プロセッサは、複数の前記性能値で前記類似度が所定の条件を満たす構成要素を複数選択し、これらの構成要素に設定された動的閾値算出方法のいずれかひとつを選択することを特徴とする管理計算機。 - 請求項1に記載の管理計算機であって、
前記閾値を動的に更新する動的閾値算出方法のパラメータを前記構成要素の性能情報毎に予め設定したパラメータ情報をさらに有し、
前記プロセッサは、前記類似度が所定の条件を満たす構成要素に設定された前記パラメータを取得して、前記受け付けた構成要素のパラメータとして前記パラメータ情報に登録することを特徴とする管理計算機。 - 請求項1に記載の管理計算機であって、
前記プロセッサは、追加する構成要素として仮想計算機を受け付けて、当該仮想計算機に割り当てられたボリュームを特性情報として、前記属性情報とコンポーネント関連情報に追加することを特徴とする管理計算機。 - 請求項1に記載の管理計算機であって、
前記プロセッサは、追加する構成要素としてボリュームを受け付けて、当該ボリュームを割り当てる仮想計算機を特性情報として、前記属性情報とコンポーネント関連情報に追加することを特徴とする管理計算機。 - プロセッサとメモリを有する管理計算機が、計算機システムの構成要素の性能を監視する性能監視方法であって、
前記管理計算機が、前記構成要素の特性情報を属性情報に格納する第1のステップと、
前記管理計算機が、前記構成要素間の接続関係をコンポーネント関連情報に格納する第2のステップと、
前記管理計算機が、前記構成要素の性能情報毎に閾値を閾値情報へ格納する第3のステップと、
前記管理計算機が、前記閾値を動的に更新する動的閾値算出方法を前記構成要素の性能情報毎に動的閾値算出情報に設定する第4のステップと、
前記管理計算機が、前記性能情報に関連する構成要素の特性情報を性能関連情報に設定する第5のステップと、
前記管理計算機が、追加または更新する構成要素を受け付けて、前記属性情報とコンポーネント関連情報を更新する第6のステップと、
前記管理計算機が、前記コンポーネント関連情報と前記属性情報に基づいて、構成要素と特性情報の組み合わせを決定し、前記構成要素間で特性情報の類似度を算出する第7のステップと、
前記管理計算機が、前記特性情報の類似度が所定の条件を満たす構成要素を選択する第8のステップと、
前記管理計算機が、前記選択された構成要素に設定された動的閾値算出方法を取得して、前記受け付けた構成要素の前記動的閾値算出方法として動的閾値算出情報に登録する第9のステップと、
を含むことを特徴とする性能監視方法。 - 請求項7に記載の性能監視方法であって、
前記第8のステップは、
予め設定された性能値と特性情報の関係を設定した性能値関連情報に基づいて前記構成要素間の特性情報の類似度を集計した後に、当該集計した類似度が所定の条件を満たす構成要素を選択することを特徴とする性能監視方法。 - 請求項8に記載の性能監視方法であって、
前記第9のステップは、
複数の前記性能値で前記類似度が所定の条件を満たす構成要素を複数選択し、これらの構成要素に設定された動的閾値算出方法のいずれかひとつを選択することを特徴とする性能監視方法。 - 請求項7に記載の性能監視方法であって、
前記管理計算機が、前記閾値を動的に更新する動的閾値算出方法のパラメータを前記構成要素の性能情報毎にパラメータ情報を設定するステップをさらに含み、
前記第9のステップは、
前記類似度が所定の条件を満たす構成要素に設定された前記パラメータを取得して、前記受け付けた構成要素のパラメータとして前記パラメータ情報に登録することを特徴とする性能監視方法。 - 請求項7に記載の性能監視方法であって、
前記第6のステップは、
追加する構成要素として仮想計算機を受け付けて、当該仮想計算機に割り当てられたボリュームを特性情報として、前記属性情報とコンポーネント関連情報に追加することを特徴とする性能監視方法。 - 請求項7に記載の性能監視方法であって、
前記第6のステップは、
追加する構成要素としてボリュームを受け付けて、当該ボリュームを割り当てる仮想計算機を特性情報として、前記属性情報とコンポーネント関連情報に追加することを特徴とする性能監視方法。 - プロセッサとメモリを有する管理計算機と、前記管理計算機が性能を監視する計算機と、を有する計算機システムであって、
前記管理計算機は、
前記計算機に含まれる構成要素の特性情報を格納する属性情報と、
前記構成要素間の接続関係を格納するコンポーネント関連情報と、
前記構成要素の性能情報毎に閾値を格納する閾値情報と、
前記閾値を動的に更新する動的閾値算出方法を前記構成要素の性能情報毎に予め設定した動的閾値算出情報と、
前記性能情報に関連する構成要素の特性情報を予め設定した性能関連情報と、
前記構成要素から取得した性能情報を格納する性能情報格納部と、を有し、
前記プロセッサは、追加または更新する構成要素を受け付けると、前記属性情報とコンポーネント関連情報を更新し、
前記プロセッサは、前記コンポーネント関連情報と前記属性情報に基づいて、構成要素と特性情報の組み合わせを決定し、前記構成要素間で特性情報の類似度を算出し、
前記プロセッサは、前記特性情報の類似度が所定の条件を満たす構成要素を選択して、当該構成要素に設定された動的閾値算出方法を取得して、前記受け付けた構成要素の前記動的閾値算出方法として動的閾値算出情報に登録し、
前記プロセッサは、所定のタイミングで動的閾値算出情報に基づいて前記閾値を算出し、前記閾値情報を更新することを特徴とする計算機システム。 - 請求項13に記載の計算機システムであって、
前記プロセッサは、予め設定された性能値と特性情報の関係を設定した性能値関連情報に基づいて前記構成要素間の特性情報の類似度を集計した後に、当該集計した類似度が所定の条件を満たす構成要素を選択することを特徴とする計算機システム。 - 請求項14に記載の計算機システムであって、
前記プロセッサは、複数の前記性能値で前記類似度が所定の条件を満たす構成要素を複数選択し、これらの構成要素に設定された動的閾値算出方法のいずれかひとつを選択することを特徴とする計算機システム。
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