CN109298974A - System control method, device, computer and computer readable storage medium - Google Patents
System control method, device, computer and computer readable storage medium Download PDFInfo
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- CN109298974A CN109298974A CN201811161999.2A CN201811161999A CN109298974A CN 109298974 A CN109298974 A CN 109298974A CN 201811161999 A CN201811161999 A CN 201811161999A CN 109298974 A CN109298974 A CN 109298974A
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- G—PHYSICS
- G06—COMPUTING; CALCULATING OR COUNTING
- G06F—ELECTRIC DIGITAL DATA PROCESSING
- G06F11/00—Error detection; Error correction; Monitoring
- G06F11/07—Responding to the occurrence of a fault, e.g. fault tolerance
- G06F11/14—Error detection or correction of the data by redundancy in operation
- G06F11/1402—Saving, restoring, recovering or retrying
- G06F11/1446—Point-in-time backing up or restoration of persistent data
- G06F11/1458—Management of the backup or restore process
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- G—PHYSICS
- G06—COMPUTING; CALCULATING OR COUNTING
- G06F—ELECTRIC DIGITAL DATA PROCESSING
- G06F11/00—Error detection; Error correction; Monitoring
- G06F11/07—Responding to the occurrence of a fault, e.g. fault tolerance
- G06F11/14—Error detection or correction of the data by redundancy in operation
- G06F11/1402—Saving, restoring, recovering or retrying
- G06F11/1446—Point-in-time backing up or restoration of persistent data
- G06F11/1448—Management of the data involved in backup or backup restore
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- Y—GENERAL TAGGING OF NEW TECHNOLOGICAL DEVELOPMENTS; GENERAL TAGGING OF CROSS-SECTIONAL TECHNOLOGIES SPANNING OVER SEVERAL SECTIONS OF THE IPC; TECHNICAL SUBJECTS COVERED BY FORMER USPC CROSS-REFERENCE ART COLLECTIONS [XRACs] AND DIGESTS
- Y02—TECHNOLOGIES OR APPLICATIONS FOR MITIGATION OR ADAPTATION AGAINST CLIMATE CHANGE
- Y02D—CLIMATE CHANGE MITIGATION TECHNOLOGIES IN INFORMATION AND COMMUNICATION TECHNOLOGIES [ICT], I.E. INFORMATION AND COMMUNICATION TECHNOLOGIES AIMING AT THE REDUCTION OF THEIR OWN ENERGY USE
- Y02D10/00—Energy efficient computing, e.g. low power processors, power management or thermal management
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Abstract
The present invention provides a kind of system control method, device, computer and computer readable storage medium, is related to the computer field based on cloud storage.System control method of the invention is applied to server system, it include: to be changed trend analysis to the storage information of destination server cluster using default assessment models to estimate dilatation data with obtain the destination server cluster, the dilatation data of estimating are including at least estimating the dilatation time；If the system time of the server system in the preset range for estimating the dilatation time, estimates the output dilatation prompt of dilatation data according to.The present invention can be conducive to control personnel and carry out dilatation to server system.
Description
Technical field
The present invention relates to computer fields more particularly to a kind of system control method, device, computer based on big data
And computer readable storage medium.
Background technique
This part intends to provides background for the embodiments of the present invention stated in claims and specific embodiment
Or context.Description herein recognizes it is the prior art not because not being included in this section.
To support current big data service environment, the server system built in a trunked mode is seasonable and gives birth to.Server system
Important carrier of the memory of system as server system storing data, the continuous challenge by the data volume increased.It is existing
In server system, there is the situation for leading to loss of data not in time to memory dilatation, there are certain information security hidden danger.
Summary of the invention
In consideration of it, it is necessary to provide a kind of system control method, device, computer and computer readable storage medium, with
Dilatation is carried out to server system conducive to control personnel.
First aspect present invention provides a kind of system control method, is applied to server system, which comprises
It is described to obtain to be changed trend analysis using storage information of the default assessment models to destination server cluster
Destination server cluster estimates dilatation data, wherein the default assessment models are the record according to the server system
The Trend Prediction model that data are established；It is described estimate dilatation data include at least estimate the dilatation time；
If the system time of the server system is in the preset range for estimating the dilatation time, according to described pre-
Estimate the output dilatation prompt of dilatation data.
Preferably, after the output dilatation prompt of dilatation data is estimated according to described, the method also includes:
Judge that the destination server cluster whether there is newly-increased subcluster；
If there is newly-increased subcluster in the destination server cluster, will be with the original subgroup of destination server cluster
At least one data collection client of collection connection is switched to be connect with the default subcluster in the newly-increased subcluster.
Preferably, the method also includes:
When receiving Data Migration request during dilatation, migrating data is written using the child node of subcluster to be migrated
Into preset memory；
The child node of control target subcluster presses default distribution policy and reads corresponding migration from the preset memory
Simultaneously the migrating data is written into the target subcluster for data.
Preferably, the method also includes:
When receiving Data Migration request during dilatation, by the master of the data backup to be migrated to subcluster to be migrated
Node.
Preferably, the method also includes:
If the migrating data that the child node of the target subcluster is read from the preset memory includes priority letter
Then sequentially the corresponding migrating data is written to the memory of the target subcluster according to the precedence information for breath
In.
Preferably, the method also includes:
State-detection is carried out to the subcluster of the destination server cluster；
If will be in described in the subcluster of the destination server cluster comprising the subcluster in malfunction
The data collection client of the subcluster connection of malfunction is switched to be connect with place with the subcluster of normal operating condition.
Preferably, the method also includes:
Synchronization is updated to the system time using default time service link.
Second aspect of the present invention provides a kind of system control device, is applied to server system, and described device includes:
Analysis module, for being changed trend point to the storage information of destination server cluster using default assessment models
Analysis estimates dilatation data with obtain the destination server cluster, wherein the default assessment models are according to the service
The Trend Prediction model that the record data of device system are established；It is described estimate dilatation data include at least estimate the dilatation time；
Output module, for the system time in the server system in the preset range for estimating the dilatation time
When, the output dilatation prompt of dilatation data is estimated according to described.
Third aspect present invention provides a kind of computer, and the computer includes processor and memory, the processor
The step of system control method as described above is realized when for executing the computer program stored in memory.
Fourth aspect present invention provides a kind of computer readable storage medium, is stored thereon with computer program, the meter
The step of calculation machine program or instruction realize system control method as described above when being executed by processor.
System control method, device, computer and computer readable storage medium provided by the invention, are getting target
After the storage information of cluster of servers, it is changed using storage information of the default assessment models to the destination server cluster
Trend analysis estimates dilatation data to obtain the destination server cluster, and the dilatation data of estimating include at least
Estimate the dilatation time.Thereafter, when the system time of server system is in the preset range for estimating the dilatation time, according to
It is described to estimate the output dilatation prompt of dilatation data, so that the control personnel for being conducive to server system in time take the target
Device cluster of being engaged in carries out dilatation, and then reduces server system because dilatation leads to the acquisition data and storing data of big data not in time
The risk of loss.
Further, using the present invention, after realizing and increasing subcluster newly to destination server cluster, by will with it is described
At least one data collection client of the original subcluster connection of destination server cluster is switched to and the newly-increased subcluster
In the connection of default subcluster, to realize newly-increased default subcluster and at least one data collection client in time
Data connection, and then be conducive to control personnel and complete dilatation, and data safety risk when relative reduction dilatation.
Further, using the present invention, when receiving Data Migration request, the child node by migrating subcluster is migrated
Data are written into preset memory, and thereafter, the child node for controlling target subcluster is deposited by default distribution policy from described preset
Corresponding migrating data is read in reservoir and the migrating data is written into the memory of the target subcluster, as a result,
Terminal by setting preset memory as Data Migration is conducive to be lifted at the safety that Data Migration is carried out when dilatation
Property.
Detailed description of the invention
It, below will be to required in embodiment description in order to illustrate more clearly of the technical solution of embodiment of the present invention
The attached drawing used is briefly described, it should be apparent that, drawings in the following description are some embodiments of the invention, for this
For the those of ordinary skill of field, without creative efforts, it can also be obtained according to these attached drawings others
Attached drawing.
Fig. 1 is the flow chart of the system control method of first embodiment of the invention；
Fig. 2 is the flow chart of the system control method of second embodiment of the invention；
Fig. 3 is the flow chart of the system control method of third embodiment of the invention；
Fig. 4 is the illustrative functional block diagram of the system control device of an embodiment of the present invention；
Fig. 5 is the illustrative structural schematic diagram of the computer of an embodiment of the present invention.
Main element symbol description
The present invention that the following detailed description will be further explained with reference to the above drawings.
Specific embodiment
To better understand the objects, features and advantages of the present invention, with reference to the accompanying drawing and specific real
Applying mode, the present invention will be described in detail.It should be noted that in the absence of conflict, presently filed embodiment and reality
The feature applied in mode can be combined with each other.
In the following description, numerous specific details are set forth in order to facilitate a full understanding of the present invention, described embodiment
Only some embodiments of the invention, rather than whole embodiments.Based on the embodiment in the present invention, this field
Those of ordinary skill's every other embodiment obtained without making creative work, belongs to guarantor of the present invention
The range of shield.
Unless otherwise defined, all technical and scientific terms used herein and belong to technical field of the invention
The normally understood meaning of technical staff is identical.Term as used herein in the specification of the present invention is intended merely to description tool
The purpose of the embodiment of body, it is not intended that in the limitation present invention.
Fig. 1 is the flow chart of the system control method of first embodiment of the invention.It should be noted that embodiment party of the present invention
The system control method of formula is not limited to step and sequence in flow chart shown in FIG. 1.Shown according to different requirements,
Step in flow chart can increase, remove or change sequence.
The system control method of present embodiment can be applied to server system, and the server system is using cluster mould
The server system that formula is built.
As shown in Figure 1, the system control method of present embodiment may include following steps:
Step 101: using storage information of the default assessment models to destination server cluster be changed trend analysis with
Obtain the destination server cluster estimates dilatation data, wherein the default assessment models are according to the server system
The Trend Prediction model that the record data of system are established；It is described estimate dilatation data include at least estimate the dilatation time.
In present embodiment, the server system may include multiple cluster of servers, and wherein have dilatation possibility
Cluster of servers can be used as the destination server cluster.
In present embodiment, the default assessment models can be for according to the server of the current institute's cluster of the server system
The Trend Prediction model established of relative recording data, the relative recording data may include reflecting that destination server cluster is deposited
The data for storing up space accounting, volume change situation and/or volume change speed etc., may particularly include in day, week, the moon, season, year
Memory space service condition under equal chronomeres.The Trend Prediction model may include Trend Prediction curve and currently stored appearance
Reference line is measured, and two components of each data point on the Trend Prediction curve can correspond to the respectively time and storage is held
Amount can be reflected by the data point and the displaying of the positional relationship of memory capacity reference line to the mesh to a certain extent
The memory for marking cluster of servers carries out the time urgency of dilatation.
It is understood that it is described estimate the dilatation time can in the current storage capacity reference line and the trend it is pre-
Estimate the time component of the data point at curve intersection position.
In present embodiment, the dilatation data of estimating may also include and estimate in addition to estimating the dilatation time described in including
Capacity of expansion correspondingly may also include the dilatation amount for increasing delta data according to capacity and establishing in the default assessment models
Estimate curve, and the dilatation amount estimates two components of each data point on curve can correspond to respectively time and dilatation
Amount, wherein the component time can be corresponding with the time in the Trend Prediction curve.
It is understood that default assessment models herein can also calculate output model for one, by inputting correlation values
Dilatation data are estimated described in directly obtaining.
It is understood that it is described estimate the dilatation time can for suggest server manage personnel carry out in advance dilatation when
Between.
In present embodiment, the storage information for obtaining the destination server cluster can be by holding in the server system
The disk space service condition that row shell script detects each back end is completed.
Step 102: if the system time of the server system in the preset range for estimating the dilatation time, root
The output dilatation prompt of dilatation data is estimated according to described.
In present embodiment, before the system time for obtaining the server system, also linked using default time service
Synchronization is updated to the system time of server system, to improve the accuracy of the runing time of server system.
In present embodiment, before the preset range for estimating the dilatation time can be for the data point at intersection location above-mentioned
The first pre-determined distance to intersection location above-mentioned at be formed by time interval between the second pre-determined distance before data point.It answers
When understanding, first pre-determined distance and second pre-determined distance are unequal.
It is understood that the preset range for estimating dilatation time suggestion server control personnel relatively above-mentioned mention
The preceding time for carrying out dilatation can be to suggest server according to factors such as the operating status of the server system or service states
Control personnel execute the preferred time of dilatation movement.
In present embodiment, the dilatation prompt may include characterizing the destination server cluster need at the appointed time carry out
The prompt information of dilatation and/or dilatation designated capabilities.And the output dilatation prompt may include much information prompting mode, such as:
It is prompted in the specified control interface display dilatation of server system；Or
Prompt information relevant to dilatation is sent to designated terminal；Or
It is shown for managing sound and/or the optical information of personal identification.
In present embodiment, after getting the storage information of destination server cluster, using default assessment models to institute
The storage information for stating destination server cluster is changed trend analysis, estimates expansion to obtain the destination server cluster
Hold data, and it is described estimate dilatation data include at least estimate the dilatation time.Thereafter, in the system time of server system in institute
When stating in the preset range for estimating the dilatation time, the output dilatation prompt of dilatation data is estimated according to described, to be conducive to service
The control personnel of device system in time to the destination server cluster carry out dilatation, and then reduce server system because of dilatation not
Lead to the acquisition data of big data and the risk of storing data loss in time.
Fig. 2 is the flow chart of the system control method of second embodiment of the invention, the second embodiment and the
The main distinction of one embodiment is that second embodiment includes judging the destination server cluster with the presence or absence of newly-increased
The step of subcluster.It should be noted that being suitable for first embodiment in the range of spirit or essential attributes of the invention
In each concrete scheme can also be accordingly suitable for second embodiment, for the sake of saving space and avoiding repetition, herein
Just repeat no more.
System control method as shown in Figure 2, applies equally in server system.As shown in Fig. 2, the system control
Method may include steps of:
Step 201: using storage information of the default assessment models to destination server cluster be changed trend analysis with
Obtain the destination server cluster estimates dilatation data, wherein the default assessment models are according to the server system
The Trend Prediction model that the record data of system are established；It is described estimate dilatation data include at least estimate the dilatation time.
Step 202: if the system time of the server system in the preset range for estimating the dilatation time, root
The output dilatation prompt of dilatation data is estimated according to described.
Step 203: judging that the destination server cluster whether there is newly-increased subcluster.
In present embodiment, the destination server cluster may include multiple subclusters, and when there is newly-increased subcluster,
I.e. it is believed that the destination server cluster completes the physical connection of initial dilatation.
In present embodiment, the judgement destination server cluster whether there is newly-increased subcluster can be by cluster
Whether the mode that port is detected is realized, can be also newly-increased test data packet by the test data packet that judgement receives
Mode is realized.The corresponding mode that cluster ports are detected, when the cluster ports detect new access signal,
Judge that the destination server cluster has newly-increased subcluster；Whether the test data packet that the corresponding judgement receives is new
The mode of the test data packet of increasing judges institute when the test data received includes the test data packet to increase newly
It states destination server cluster and there is newly-increased subcluster.
Step 204:, will be former with the destination server cluster if the destination server cluster has newly-increased subcluster
At least one data collection client of some subcluster connections is switched to be connected with the default subcluster in the newly-increased subcluster
It connects.
In present embodiment, the data collection client is the client for acquiring big data, is adopted in the data
When collection client is connect with the default subcluster in the newly-increased subcluster, it can be deposited by the memory of the default subcluster
Storage passes through the collected data of the data collection client.
In present embodiment, realizing newly subgroup can be increased to destination server cluster on the basis of first embodiment
After collection, switched by least one data collection client that will be connect with the original subcluster of destination server cluster
To be connect with the default subcluster in the newly-increased subcluster, to realize newly-increased default subcluster and at least one in time
The data connection of a data collection client, and then be conducive to control personnel and complete dilatation, and data when relative reduction dilatation
Security risk.
It is understood that the default subcluster be one can relatively independent work cluster, thus after dilatation, institute
State the original subcluster of destination server cluster can not have to the data of acquisition are migrated, thus can relative reduction data expanding
The probability lost during appearance.
In present embodiment, can also state-detection be carried out to the subcluster of the destination server cluster, when the target
In the subcluster of cluster of servers comprising in malfunction subcluster when, can by with the subcluster in malfunction
The data collection client of connection is switched to be connect with the subcluster in normal operating condition, is conducive to the target clothes with this
Device cluster of being engaged in utilizes the probability of data collection client loss of data collected.
It is understood that the test of each subcluster of the destination server cluster can be obtained by predeterminated frequency
Data packet, by being analyzed the test data packet to judge that subcluster is currently at malfunction still for normal fortune
Row state.
Fig. 3 is the flow chart of the system control method of third embodiment of the invention, and the third embodiment is with before
The main distinction for stating each embodiment is that third embodiment includes that Data Migration request is received during dilatation
When, the step into preset memory is written using the child node migrating data of subcluster to be migrated.It should be noted that at this
In the range of the spirit or essential attributes of invention, each concrete scheme suitable for the first, second embodiment can also be corresponding
Suitable for third embodiment, for the sake of saving space and avoiding repetition, details are not described herein again.
System control method as shown in Figure 3, applies equally in server system.As shown in figure 3, the system control
Method may include steps of:
Step 301: using storage information of the default assessment models to destination server cluster be changed trend analysis with
Obtain the destination server cluster estimates dilatation data, wherein the default assessment models are according to the server system
The Trend Prediction model that the record data of system are established；It is described estimate dilatation data include at least estimate the dilatation time.
Step 302: if the system time of the server system in the preset range for estimating the dilatation time, root
The output dilatation prompt of dilatation data is estimated according to described.
Step 303: when receiving Data Migration request during dilatation, will be migrated using the child node of subcluster to be migrated
Data are written into preset memory.
It, can be to destination server after the server system completes port connection physically in present embodiment
Partial data in cluster is migrated.
It is understood that the Data Migration request can be issued by the destination server cluster.
Step 304: the child node of control target subcluster reads phase from the preset memory by default distribution policy
Simultaneously the migrating data is written into the memory of the target subcluster for the migrating data answered.
It is understood that the target subcluster and the subcluster to be migrated include an at least host node and a son
Node.
In present embodiment, when receiving Data Migration request, migration can be passed through on the basis of first embodiment
The child node migrating data of subcluster is written into preset memory, and thereafter, the child node of control target subcluster is by default point
Hair strategy reads corresponding migrating data from the preset memory and the migrating data is written to the target subgroup
In the memory of collection, as a result, by terminal of the setting preset memory as Data Migration, when being conducive to be lifted at dilatation into
The safety of row Data Migration.
In present embodiment, received during dilatation Data Migration request when, will the data backup to be migrated extremely to
Migrate the host node of subcluster.
In present embodiment, if the migrating data that the child node of the target subcluster is read from the preset memory
Including precedence information, then sequentially the corresponding migrating data is written to the target subgroup according to the precedence information
It concentrates.
In present embodiment, in the migrating data that the child node of the target subcluster is read from the preset memory
When including precedence information, sequentially corresponding migrating data can be also written to target subcluster according to the precedence information
In, the transfer to critical data can be fast implemented with this.
Fig. 4 is the illustrative functional block diagram of the system control device of an embodiment of the present invention.As shown in figure 4, being
System control device 100 can be used for after getting the storage information of destination server cluster, using default assessment models to described
The storage information of destination server cluster is analyzed, and estimates dilatation data to obtain the destination server cluster, and
It is described estimate dilatation data include at least estimate the dilatation time.Thereafter, expansion is estimated described in the system time of server system
When holding in the preset range of time, the output dilatation prompt of dilatation data is estimated according to described, to be conducive to server system
Control personnel carry out dilatation to the destination server cluster in time, and then reduce server system because dilatation causes not in time
The risk that the acquisition data and storing data of big data are lost.
System control device 100 of the invention may include one or more modules, and one or more of modules can be with
Be stored in the memory of computer and may be configured to by one or more processors (present embodiment be one processing
Device) it executes, to complete the present invention.For example, as shown in figure 4, the system control device 100 may include analysis module 11, it is defeated
Module 12, writing module 13, control module 14, backup module 15 and switching module 16 out.The so-called module of the present invention can be
The program segment for completing a specific function, the implementation procedure than program more suitable for description software in the processor.
It should be noted that each embodiment of corresponding above system control method, system control device 100 may include
Part or all in each functional module shown in Fig. 4, the function of each module will introduced in detail below.System above control
Identical noun related terms and its specific explanation are readily applicable to following to each in each embodiment of method processed
The function introduction of module.For the sake of saving space and avoiding repetition, details are not described herein again.
Fig. 5 is the illustrative structural schematic diagram of the computer of an embodiment of the present invention.Calculating provided in this embodiment
Machine 1 includes: processor 10, memory 20 and is stored in the meter that can be run in the memory 20 and on the processor 10
Calculation machine program, such as system control program.When the processor 10 executes the computer program, above-mentioned each system control is realized
Step in method implementation, such as step 101 shown in FIG. 1 is to step 102.Alternatively, the processor 10 execute it is described
The function of each module in above-mentioned apparatus embodiment is realized when computer program, such as the analysis module 11 in Fig. 4 is used for mesh
The storage information of mark cluster of servers is changed trend analysis and estimates dilatation data with obtain the destination server cluster,
The dilatation data of estimating include at least the function of estimating the dilatation time.
The computer 1 can be desktop PC, notebook, palm PC and cloud server etc. and calculate equipment.
The computer 1 may include, but be not limited to, processor 10 and memory 20.It will be understood by those skilled in the art that the signal
Figure is only example of the present invention for realizing the computer 1 of system control method, does not constitute the restriction to computer 1, can
To include perhaps combining certain components or different components, such as the computer 1 than illustrating more or fewer components
It can also include input-output equipment, network access equipment, bus etc..
Alleged processor 10 can be central processing unit (Central Processing Unit, CPU), can also be
Other general processors, digital signal processor (Digital Signal Processor, DSP), specific integrated circuit
(Application Specific Integrated Circuit, ASIC), ready-made programmable gate array (Field-
Programmable Gate Array, FPGA) either other programmable logic device, discrete gate or transistor logic,
Discrete hardware components etc..General processor can be microprocessor or the processor is also possible to any conventional processor
Deng the processor 10 is the control centre of the computer 1, utilizes each of various interfaces and the entire computer of connection
Part.
The memory 20 can be used for storing the computer program and/or module, the processor 10 by operation or
The computer program and/or module being stored in the memory 20 are executed, and calls the data being stored in memory 20,
Realize the various functions of the computer 1.The memory 20 can mainly include storing program area and storage data area, wherein
Storing program area can application program needed for storage program area, at least one function (for example sound-playing function, image play
Function etc.) etc.；Storage data area, which can be stored, uses created data (such as audio data, phone directory etc.) according to mobile phone
Deng.It can also include computer storage in addition, memory 20 may include high-speed random access memory, such as hard disk, interior
It deposits, plug-in type hard disk, intelligent memory card (Smart Media Card, SMC), secure digital (Secure Digital, SD) card,
Flash card (Flash Card), at least one disk memory, flush memory device or other volatile solid-state parts.
The computer 1 may also include system control device 100 as shown in Figure 4, and the system control device 100 can be with
It is stored in the memory 20.
Illustratively, the computer program can be divided into one or more modules, one or more of moulds
Block is stored in the memory 20, and is executed by the processor 10, to complete the present invention.One or more of modules
It can be the series of computation machine program instruction section that can complete specific function, the instruction segment is for describing the computer program
Implementation procedure in the computer 1.For example, the computer program can be divided into system control as shown in Figure 3
Device 100, including analysis module 11, output module 12, writing module 13, control module 14, backup module 15 and switching module
16, each module concrete function is as follows:
Analysis module 11 can be used for being changed trend analysis to the storage information of destination server cluster described to obtain
Destination server cluster estimates dilatation data, wherein the default assessment models are the record according to the server system
The Trend Prediction model that data are established；It is described estimate dilatation data include at least estimate the dilatation time.
Output module 12 can be used for the system time in the server system in the default model for estimating the dilatation time
When enclosing interior, the output dilatation prompt of dilatation data is estimated according to described.
Writing module 13 utilizes the son of subcluster to be migrated when can be used for receiving Data Migration request during dilatation
Migrating data is written into preset memory node.
Control module 14 can be used for controlling the child node of target subcluster by default distribution policy from the preset memory
It is middle to read corresponding migrating data and the migrating data is written into the memory of the target subcluster.
Backup module 15, when can be used for receiving Data Migration request during dilatation, by the data backup to be migrated
To the host node of subcluster to be migrated.
Switching module 16 can be used for take with the target when the destination server cluster has newly-increased subcluster
At least one data collection client of business device cluster original subcluster connection be switched to it is pre- in the newly-increased subcluster
If subcluster connects；
If the integrated module of computer 1 of the present invention is realized in the form of SFU software functional unit and as independent production
Product when selling or using, can store in a computer readable storage medium.Based on this understanding, the present invention realizes
All or part of the process in above-described embodiment method can also instruct relevant hardware to complete by computer program,
The computer program can be stored in a computer readable storage medium, the computer program when being executed by processor,
The step of above-mentioned each embodiment of the method can be achieved.Wherein, the computer program includes computer program code, the calculating
Machine program code can be source code form, object identification code form, executable file or certain intermediate forms etc..The computer
Readable medium may include: any entity or device, recording medium, USB flash disk, the movement that can carry the computer program code
Hard disk, magnetic disk, CD, computer storage, read-only memory (ROM, Read-Only Memory), random access memory
(RAM, Random Access Memory), electric carrier signal, telecommunication signal and software distribution medium etc..It needs to illustrate
It is that the content that the computer-readable medium includes can be fitted according to the requirement made laws in jurisdiction with patent practice
When increase and decrease, such as in certain jurisdictions, according to legislation and patent practice, computer-readable medium does not include electric carrier wave letter
Number and telecommunication signal.
It is obvious to a person skilled in the art that invention is not limited to the details of the above exemplary embodiments, Er Qie
In the case where without departing substantially from spirit or essential attributes of the invention, the present invention can be realized in other specific forms.Therefore, no matter
From the point of view of which point, the present embodiments are to be considered as illustrative and not restrictive, and the scope of the present invention is by appended power
Benefit requires rather than above description limits, it is intended that all by what is fallen within the meaning and scope of the equivalent elements of the claims
Variation is included in the present invention.Any reference signs in the claims should not be construed as limiting the involved claims.This
Outside, it is clear that one word of " comprising " does not exclude other units or steps, and odd number is not excluded for plural number.System, device or computer installation power
Multiple units, module or the device stated in benefit requirement can also be passed through software or hard by the same unit, module or device
Part is realized.The first, the second equal words are used to indicate names, and are not indicated any particular order.
Embodiment of above is only used to illustrate the technical scheme of the present invention and not to limit it, although referring to the above preferable embodiment party
Formula describes the invention in detail, those skilled in the art should understand that, it can be to technical solution of the present invention
It modifies or equivalent replacement should not all be detached from the spirit and scope of technical solution of the present invention.
Claims (10)
1. a kind of system control method is applied to server system, which is characterized in that the described method includes:
Trend analysis is changed using storage information of the default assessment models to destination server cluster to obtain the target
Cluster of servers estimates dilatation data, wherein the default assessment models are the record data according to the server system
The Trend Prediction model of foundation；It is described estimate dilatation data include at least estimate the dilatation time；
If the system time of the server system estimates expansion in the preset range for estimating the dilatation time according to
Hold data output dilatation prompt.
2. the system as claimed in claim 1 control method, which is characterized in that estimate the output of dilatation data according to described
After dilatation prompt, the method also includes:
Judge that the destination server cluster whether there is newly-increased subcluster；
If the destination server cluster has newly-increased subcluster, will connect with the original subcluster of the destination server cluster
At least one data collection client connect is switched to be connect with the default subcluster in the newly-increased subcluster.
3. the system as claimed in claim 1 control method, which is characterized in that the method also includes:
When receiving Data Migration request during dilatation, migrating data is written to pre- using the child node of subcluster to be migrated
If in memory；
The child node of control target subcluster reads corresponding migrating data by default distribution policy from the preset memory
And the migrating data is written into the target subcluster.
4. system control method as claimed in claim 3, which is characterized in that the method also includes:
When receiving Data Migration request during dilatation, by the main section of the data backup to be migrated to subcluster to be migrated
Point.
5. system control method as claimed in claim 3, which is characterized in that the method also includes:
If the migrating data that the child node of the target subcluster is read from the preset memory includes precedence information,
Sequentially the corresponding migrating data is written into the target subcluster according to the precedence information.
6. the system as claimed in claim 1 control method, which is characterized in that the method also includes:
State-detection is carried out to the subcluster of the destination server cluster；
If in the subcluster of the destination server cluster failure will be in described comprising the subcluster in malfunction
The data collection client of the subcluster connection of state is switched to be connect with place with the subcluster of normal operating condition.
7. the system as claimed in claim 1 control method, which is characterized in that the method also includes:
Synchronization is updated to the system time using default time service link.
8. a kind of system control device, it is applied to server system, which is characterized in that described device includes:
Analysis module, for using default assessment models to the storage information of destination server cluster be changed trend analysis with
Obtain the destination server cluster estimates dilatation data, wherein the default assessment models are according to the server system
The Trend Prediction model that the record data of system are established；It is described estimate dilatation data include at least estimate the dilatation time；
Output module, when for the system time in the server system in the preset range for estimating the dilatation time,
The output dilatation prompt of dilatation data is estimated according to described.
9. a kind of computer, which is characterized in that the computer includes processor and memory, and the processor is deposited for executing
The step of system control method as described in any one of claim 1-7 is realized when the computer program stored in reservoir.
10. a kind of computer readable storage medium, is stored thereon with computer program, which is characterized in that the computer program
The step of system control method as described in any one of claim 1-7 is realized when being executed by processor.
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| Publication number | Priority date | Publication date | Assignee | Title |
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| CN115834388A (en) * | 2022-10-21 | 2023-03-21 | 支付宝(杭州)信息技术有限公司 | System control method and device |
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| CN107391629A (en) * | 2017-06-30 | 2017-11-24 | 北京奇虎科技有限公司 | Data migration method, system, server and computer-readable storage medium between cluster |
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| CN115834388A (en) * | 2022-10-21 | 2023-03-21 | 支付宝(杭州)信息技术有限公司 | System control method and device |
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