CN108833209A - A kind of cloud computing system availability determination method and device - Google Patents
A kind of cloud computing system availability determination method and device Download PDFInfo
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- CN108833209A CN108833209A CN201810665919.0A CN201810665919A CN108833209A CN 108833209 A CN108833209 A CN 108833209A CN 201810665919 A CN201810665919 A CN 201810665919A CN 108833209 A CN108833209 A CN 108833209A
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- Prior art keywords
- availability
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- replaceable unit
- cloud computing
- computing system
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- H—ELECTRICITY
- H04—ELECTRIC COMMUNICATION TECHNIQUE
- H04L—TRANSMISSION OF DIGITAL INFORMATION, e.g. TELEGRAPHIC COMMUNICATION
- H04L43/00—Arrangements for monitoring or testing data switching networks
- H04L43/08—Monitoring or testing based on specific metrics, e.g. QoS, energy consumption or environmental parameters
- H04L43/0805—Monitoring or testing based on specific metrics, e.g. QoS, energy consumption or environmental parameters by checking availability
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- H—ELECTRICITY
- H04—ELECTRIC COMMUNICATION TECHNIQUE
- H04L—TRANSMISSION OF DIGITAL INFORMATION, e.g. TELEGRAPHIC COMMUNICATION
- H04L41/00—Arrangements for maintenance, administration or management of data switching networks, e.g. of packet switching networks
- H04L41/06—Management of faults, events, alarms or notifications
- H04L41/0654—Management of faults, events, alarms or notifications using network fault recovery
- H04L41/0659—Management of faults, events, alarms or notifications using network fault recovery by isolating or reconfiguring faulty entities
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- H—ELECTRICITY
- H04—ELECTRIC COMMUNICATION TECHNIQUE
- H04L—TRANSMISSION OF DIGITAL INFORMATION, e.g. TELEGRAPHIC COMMUNICATION
- H04L41/00—Arrangements for maintenance, administration or management of data switching networks, e.g. of packet switching networks
- H04L41/14—Network analysis or design
- H04L41/145—Network analysis or design involving simulating, designing, planning or modelling of a network
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- H—ELECTRICITY
- H04—ELECTRIC COMMUNICATION TECHNIQUE
- H04L—TRANSMISSION OF DIGITAL INFORMATION, e.g. TELEGRAPHIC COMMUNICATION
- H04L43/00—Arrangements for monitoring or testing data switching networks
- H04L43/08—Monitoring or testing based on specific metrics, e.g. QoS, energy consumption or environmental parameters
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- Engineering & Computer Science (AREA)
- Computer Networks & Wireless Communication (AREA)
- Signal Processing (AREA)
- Environmental & Geological Engineering (AREA)
- Hardware Redundancy (AREA)
Abstract
This application discloses a kind of cloud computing system availability determination method and device, the cloud computing system availability determination method includes：Determine the field-replaceable unit in goal systems；Obtain the availability parameters of the field-replaceable unit；The availability of the goal systems is determined according to the availability parameters of the field-replaceable unit.Shorter the time required to availability parameters due to obtaining field-replaceable unit, cost is relatively low, and compared to the scheme that measure total system approve- useful index by the method for long-time on-line testing in the related technology, this programme reduces costs and the testing time.
Description
Technical field
The present invention relates to cloud computing technology, espespecially a kind of cloud computing system availability determination method and device.
Background technique
Cloud computing the supercomputing mode and service mode new as one kind, it is data-centered, it is a kind of data-intensive
The supercomputing of type.
Traditional usability testing technology is the method by tracking online, the more examining systems with configuration is parallel
Continuous operation significant period of time, and the failure number of system around here is recorded, deactivation system number percentage is then calculated, this
Percentage is the reliability of system under test (SUT) in this time.For can maintenance system, record that each system breaks down when
Between be spaced and the time for restoring failure, Calculation bottleneck value obtain mean time between failures index MTTF (Mean Time To
Failure, mean time between failures) and mean repair time index MTTR (Mean Time To Recover, when averagely repairing
Between), and then calculate Steady temperature field.
The method of above-mentioned determining availability needs to carry out high-volume concurrent testing, at high cost, and takes long time.
Summary of the invention
A present invention at least embodiment provides a kind of cloud computing system availability determination method and device, reduce cost and
Reduce the time used.
In order to reach the object of the invention, a present invention at least embodiment provides a kind of cloud computing system availability determination side
Method, including：
Determine the field-replaceable unit in goal systems；
Obtain the availability parameters of the field-replaceable unit；
The availability of the goal systems is determined according to the availability parameters of the field-replaceable unit.
A present invention at least embodiment provides a kind of cloud computing system availability determining device, including：
System division module, for determining the field-replaceable unit in goal systems；
Test module, for obtaining the availability parameters of the field-replaceable unit；
Availability determining module, for determining the goal systems according to the availability parameters of the field-replaceable unit
Availability.
Compared with prior art, in a present invention at least embodiment, by obtaining the field changeable portion in goal systems
The availability parameters of part, and then obtain the availability of system, compared to passing through the method for long-time on-line testing in the related technology
The scheme of total system approve- useful index is measured, this programme reduces costs and the testing time.
Other features and advantages of the present invention will be illustrated in the following description, also, partly becomes from specification
It obtains it is clear that understand through the implementation of the invention.The objectives and other advantages of the invention can be by specification, right
Specifically noted structure is achieved and obtained in claim and attached drawing.
Detailed description of the invention
Attached drawing is used to provide to further understand technical solution of the present invention, and constitutes part of specification, with this
The embodiment of application technical solution for explaining the present invention together, does not constitute the limitation to technical solution of the present invention.
Fig. 1 is the cloud computing system availability determination method flow chart that one embodiment of the invention provides；
Fig. 2 is the cloud computing system availability determining device block diagram that one embodiment of the invention provides；
Fig. 3 is the cloud computing system availability determination method flow chart that a specific example of the invention provides；
Fig. 4 is the reliability block diagram schematic diagram that one embodiment of the invention provides.
Specific embodiment
To make the objectives, technical solutions, and advantages of the present invention clearer, below in conjunction with attached drawing to the present invention
Embodiment be described in detail.It should be noted that in the absence of conflict, in the embodiment and embodiment in the application
Feature can mutual any combination.
Step shown in the flowchart of the accompanying drawings can be in a computer system such as a set of computer executable instructions
It executes.Also, although logical order is shown in flow charts, and it in some cases, can be to be different from herein suitable
Sequence executes shown or described step.
Cloud computing system is limited by limited length of testing speech, utilizes tradition as a kind of extremely complex computer system
Reliability Engineering in for a long time, more to obtain usability testing data with the methods surveyed parallel of configuration machines be unrealistic
's.System availability is investigated from the granularity of field-replaceable unit (Field Replacement Unit, abbreviation FRU) herein to ask
Topic, converts the usability testing towards redundant component for the system-level usability testing of cloud computing system.
As shown in Figure 1, one embodiment of the invention proposes a kind of cloud computing system availability determination method, including：
Step 101, the field-replaceable unit in goal systems is determined；
Wherein, the goal systems is such as cloud computing system.
Wherein, field-replaceable unit, that is, FRU component is a functional unit, may include one or more equipment.It can
The granularity of division is set as needed, so that it is determined that FRU component.
Step 102, the availability parameters of the field-replaceable unit is obtained；
Step 103, the availability of the goal systems is determined according to the availability parameters of the field-replaceable unit.
Method provided in this embodiment by the availability parameters of the field-replaceable unit in acquisition system, and then obtains
The availability for the system of obtaining, since the availability parameters required time for obtaining field-replaceable unit is shorter, cost is relatively low, compares phase
The scheme of total system approve- useful index is measured in the technology of pass by the method for long-time on-line testing, this programme reduces costs
And the testing time.
In one embodiment, the availability parameters includes at least one of：It averagely fails working time, average recovery
Time.The working time of averagely failing can be only obtained, alternatively, Mean Time To Recovery is only obtained, alternatively, when obtaining averagely failure
Between and Mean Time To Recovery, can according to need decision.Wherein, averagely fail working time (Mean Time Between
Failure, abbreviation MTBF) be：Under prescribed conditions, the average duration that functional unit is run between failing twice in succession；It is flat
Equal recovery time (MeanTime To Recovery, abbreviation MTTR) is：For given functional unit, resume operation after failure
Required average duration.Corresponding FRU component, functional unit, that is, FRU component.It should be noted that MTTR and MTBF are only
For example, it can according to need and obtain other availability parameters, for example be MTTR.
In one embodiment, determine that the field-replaceable unit in goal systems includes in the step 101：
The goal systems is divided into one or more functions subsystem, the functional subsystem being capable of isolated fault；
Determine the field-replaceable unit in each functional subsystem.
Wherein it is possible to determine that goal systems for the isolating power of failure, and then divides function by modes such as direct fault locations
It can subsystem.Can isolated fault refer to that the failure of a functional subsystem does not influence other function subsystem.In another implementation
In example, each functional subsystem is independent particle system, uncorrelated each other, certainly, herein it is uncorrelated be it is opposite, i.e., its failure is each other
Uncorrelated, each functional subsystem there will still likely be other associations.
In one embodiment, the method also includes：Determine the redundancy of the functional subsystem, i.e. test maintains the function
The FRU component failure number that FRU components number and the functional subsystem required for energon system worked well can be tolerated.
In one embodiment, in the step 103 according to the determination of the availability parameters of the field-replaceable unit
The availability of goal systems includes：
According to the availability parameters of the field-replaceable unit of the functional subsystem, the redundancy of the functional subsystem
The availability for determining the functional subsystem determines the target according to the availability of each functional subsystem of the goal systems
The availability of system.
Wherein, the method for determining availability according to redundancy and availability parameters can pre-establish availability assessment mould
Above-mentioned redundancy and availability parameters are substituted into the availability assessment models and obtain availability by type.Availability assessment models can
It establishes as needed, such as k-out-of-n model, dynamic reliability block diagram (DRDB) model.
Wherein, such as it is according to the method for the Calculation of Availability system availability of each functional subsystem：Each function
System corresponds to a weighted value, and the value summation after the weighted value of each functional subsystem is multiplied with its availability obtains target
The availability of system.
As shown in Fig. 2, one embodiment of the invention provides a kind of cloud computing system availability determining device, including：
System division module 201, for determining the field-replaceable unit in goal systems；
Test module 202, for obtaining the availability parameters of the field-replaceable unit；
Availability determining module 203, for determining the target according to the availability parameters of the field-replaceable unit
The availability of system.
In one embodiment, the availability parameters includes at least one of：
It averagely fails working time, Mean Time To Recovery.
In one embodiment, the system division module 201 includes：
First subelement 2011, for the goal systems to be divided into one or more functions subsystem, the function
Subsystem being capable of isolated fault；
Second subelement 2012, for determining the field-replaceable unit in each functional subsystem.
In one embodiment, the cloud computing system availability determining device further includes：Redundancy determining module 204, institute
Redundancy determining module 204 is stated for determining the redundancy of the functional subsystem.
In one embodiment, the availability determining module 203 is according to the availability parameters of the field-replaceable unit
The availability for determining the goal systems includes：
According to the availability parameters of the field-replaceable unit of the functional subsystem, the redundancy of the functional subsystem
The availability for determining the functional subsystem determines the target according to the availability of each functional subsystem of the goal systems
The availability of system.
The application is further illustrated below by a specific embodiment.
As described in Figure 3, cloud computing system availability determination method provided in this embodiment includes：
Step 301, goal systems is divided into functional subsystem, obtains the reliability block diagram of each functional subsystem.
Specifically, the architecture of goal systems, by the means validation test goal systems such as direct fault location for given
The isolating power of fault set, so that goal systems is divided into several being capable of isolated fault and irrelevant function subsystem
System.
Such as a Dual Modular Redundant Fault-tolerance computing system, including two computing modules, computing module 1 include functional component CPU1,
Two pieces of hard disks D1 and D2, memory M1 and M2, computing module 2 include functional module CPU2, two pieces of hard disk D3 and D24 memory M3 and
M4, two computing modules are powered by a power subsystem PS, and switch subsystem controls input and output by a SW, reliable
Property block diagram is as shown in Figure 4.A functional subsystem is represented in Fig. 4 in each frame.
Step 302, the redundancy of the functional subsystem is determined.
Specifically, fault filling method and load pressure are combined, FRU inside the functional subsystem of above-mentioned division is tested
The redundancy (i.e. the redundancy of the functional subsystem) of component, i.e., required for test maintains some functional subsystem to work normally
The FRU component failure number that FRU components number and the functional subsystem can be tolerated；
Step 303, the MTTR test of FRU component is carried out.
Wherein, MTTR test includes two classes：Replacing construction and service ability recovery time.Certain FRU components such as fan, electricity
The generations such as source failure only changes the environment of system operation, will not influence the service ability of system external, tests its replacing construction
?.Other components such as calculate node plate, IO case etc. will be likely to reduce the service ability of system external when failing,
Therefore it not only needs to test its replacing construction for the MTTR test of this part FRU component, it is also necessary to test FRU component failure drop
After the low external service ability of system, by how long restoring system service ability to normal level.
Step 304, the MTBF validation test of FRU component is carried out.
For example, to Mr. Yu's class FRU, it is assumed that its MTBF threshold value is expressed as minMTBF, such FRU sum is n in system, enables
When a length of T >=minMTBF of fixed time test (test the time as defined in prior stop), is equivalent to single FRU progress
Total length of testing speech is the test of nT, tests the number that FRU breaks down in the period and is denoted as f, then the MTBF of such FRU is nT/
f。
Step 305, according to system design feature and system maintenance strategy, availability is established for each functional subsystem and is commented
Estimate model, according to MTTR the and MTBF test data obtained in step 303 and step 304, and, what is obtained in step 302 is superfluous
Remaining substitutes into the availability that the availability assessment models calculate each functional subsystem.According to the available of each functional subsystem
System-wide availability is calculated in degree.
Wherein, the availability assessment models can be set as needed.
Wherein, show that one example of system-wide availability is as follows according to the Calculation of Availability of each functional subsystem：Target
System includes 3 functional subsystems, and availability is respectively T1, T2, T3, weight is respectively A1, A2, A3, then goal systems
Availability is A1*T1+A2*T2+A3*T3.
It in the present embodiment, is tested, is completed according to the value of MTTR and MTBF whole by MTTR to FRU component and MTBF
The availability of a system is tested and assessed, and since the time that MTTR and MTBF test uses is shorter, reduces duration and cost.
In the related technology, redundancy computer system of the cloud computing system as a kind of complexity, when being limited by limited test
It is long, usability testing numbers are obtained using long-time, the more methods surveyed parallel with configuration machines in traditional Reliability Engineering
It is too high according to cost and time-consuming too long.Scheme provided in this embodiment, can be by carrying out MTTR to component within the relatively short time
Test and MTBF test, test and assess according to the availability for completing whole system by MTTR and MTBF parameter, when not needing to pass through long
Between the method for on-line testing measure total system approve- useful index, reduce costs and the testing time.
It will appreciated by the skilled person that whole or certain steps, system, dress in method disclosed hereinabove
Functional module/unit in setting may be implemented as software, firmware, hardware and its combination appropriate.In hardware embodiment,
Division between the functional module/unit referred in the above description not necessarily corresponds to the division of physical assemblies；For example, one
Physical assemblies can have multiple functions or a function or step and can be executed by several physical assemblies cooperations.Certain groups
Part or all components may be implemented as by processor, such as the software that digital signal processor or microprocessor execute, or by
It is embodied as hardware, or is implemented as integrated circuit, such as specific integrated circuit.Such software can be distributed in computer-readable
On medium, computer-readable medium may include computer storage medium (or non-transitory medium) and communication media (or temporarily
Property medium).As known to a person of ordinary skill in the art, term computer storage medium is included in for storing information (such as
Computer readable instructions, data structure, program module or other data) any method or technique in the volatibility implemented and non-
Volatibility, removable and nonremovable medium.Computer storage medium include but is not limited to RAM, ROM, EEPROM, flash memory or its
His memory technology, CD-ROM, digital versatile disc (DVD) or other optical disc storages, magnetic holder, tape, disk storage or other
Magnetic memory apparatus or any other medium that can be used for storing desired information and can be accessed by a computer.This
Outside, known to a person of ordinary skill in the art to be, communication media generally comprises computer readable instructions, data structure, program mould
Other data in the modulated data signal of block or such as carrier wave or other transmission mechanisms etc, and may include any information
Delivery media.
Claims (10)
1. a kind of cloud computing system availability determination method, including：
Determine the field-replaceable unit in goal systems；
Obtain the availability parameters of the field-replaceable unit；
The availability of the goal systems is determined according to the availability parameters of the field-replaceable unit.
2. cloud computing system availability determination method according to claim 1, which is characterized in that the availability parameters packet
Include at least one of：It averagely fails working time, Mean Time To Recovery.
3. cloud computing system availability determination method according to claim 1 or 2, which is characterized in that the determining target
Field-replaceable unit in system includes：
The goal systems is divided into one or more functions subsystem, the functional subsystem being capable of isolated fault；
Determine the field-replaceable unit in each functional subsystem.
4. cloud computing system availability determination method according to claim 3, which is characterized in that the method also includes：
Determine the redundancy of the functional subsystem.
5. cloud computing system availability determination method according to claim 4, which is characterized in that described according to the scene
The availability parameters of field-replaceable unit determines that the availability of the goal systems includes：
It is determined according to the redundancy of the availability parameters of the field-replaceable unit of the functional subsystem, the functional subsystem
The availability of the functional subsystem determines the goal systems according to the availability of each functional subsystem of the goal systems
Availability.
6. a kind of cloud computing system availability determining device, including：
System division module, for determining the field-replaceable unit in goal systems；
Test module, for obtaining the availability parameters of the field-replaceable unit；
Availability determining module, for according to the availability parameters of the field-replaceable unit determine the goal systems can
Expenditure.
7. cloud computing system availability determining device according to claim 6, which is characterized in that the availability parameters packet
Include at least one of：
It averagely fails working time, Mean Time To Recovery.
8. cloud computing system availability determining device according to claim 6 or 7, which is characterized in that the system divides
Module includes：
First subelement, for the goal systems to be divided into one or more functions subsystem, the functional subsystem energy
Enough isolated faults；
Second subelement, for determining the field-replaceable unit in each functional subsystem.
9. cloud computing system availability determining device according to claim 8, which is characterized in that the cloud computing system can
Further include with property determining device：Redundancy determining module, the redundancy determining module is for determining the functional subsystem
Redundancy.
10. cloud computing system availability determining device according to claim 9, which is characterized in that the availability determines
Module determines that the availability of the goal systems includes according to the availability parameters of the field-replaceable unit：
It is determined according to the redundancy of the availability parameters of the field-replaceable unit of the functional subsystem, the functional subsystem
The availability of the functional subsystem determines the goal systems according to the availability of each functional subsystem of the goal systems
Availability.
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