CN109032805A - A kind of scalable appearance method, apparatus of elasticity, server and storage medium - Google Patents

A kind of scalable appearance method, apparatus of elasticity, server and storage medium Download PDF

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Publication number
CN109032805A
CN109032805A CN201810884151.6A CN201810884151A CN109032805A CN 109032805 A CN109032805 A CN 109032805A CN 201810884151 A CN201810884151 A CN 201810884151A CN 109032805 A CN109032805 A CN 109032805A
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China
Prior art keywords
server
application program
data
resource
scalable
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CN201810884151.6A
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杨尚京
王枫
谭仕朝
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Shenzhen Lexin Software Technology Co Ltd
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Shenzhen Lexin Software Technology Co Ltd
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Priority to CN201810884151.6A priority Critical patent/CN109032805A/en
Publication of CN109032805A publication Critical patent/CN109032805A/en
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    • GPHYSICS
    • G06COMPUTING; CALCULATING OR COUNTING
    • G06FELECTRIC DIGITAL DATA PROCESSING
    • G06F9/00Arrangements for program control, e.g. control units
    • G06F9/06Arrangements for program control, e.g. control units using stored programs, i.e. using an internal store of processing equipment to receive or retain programs
    • G06F9/46Multiprogramming arrangements
    • G06F9/50Allocation of resources, e.g. of the central processing unit [CPU]
    • G06F9/5005Allocation of resources, e.g. of the central processing unit [CPU] to service a request
    • G06F9/5027Allocation of resources, e.g. of the central processing unit [CPU] to service a request the resource being a machine, e.g. CPUs, Servers, Terminals
    • G06F9/505Allocation of resources, e.g. of the central processing unit [CPU] to service a request the resource being a machine, e.g. CPUs, Servers, Terminals considering the load
    • GPHYSICS
    • G06COMPUTING; CALCULATING OR COUNTING
    • G06FELECTRIC DIGITAL DATA PROCESSING
    • G06F2209/00Indexing scheme relating to G06F9/00
    • G06F2209/50Indexing scheme relating to G06F9/50
    • G06F2209/508Monitor

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  • Engineering & Computer Science (AREA)
  • Software Systems (AREA)
  • Theoretical Computer Science (AREA)
  • Physics & Mathematics (AREA)
  • General Engineering & Computer Science (AREA)
  • General Physics & Mathematics (AREA)
  • Information Transfer Between Computers (AREA)

Abstract

The invention discloses a kind of scalable appearance method, apparatus of elasticity, server and storage mediums.This method comprises: obtaining the load data of the server where application program and the operation data of application program;If the load data and the operation data reach preset condition, scalable appearance is carried out to the resource of the server and is operated.Technical solution provided in an embodiment of the present invention, automatic scalable appearance in real time is carried out to the server resource where application program by the load data of monitoring server and the operation data of application program, it ensure that application program is smoothly run, the problem of avoiding since amount of access is excessive, application program caused to be unable to operate normally.

Description

A kind of scalable appearance method, apparatus of elasticity, server and storage medium
Technical field
The present embodiments relate to network technique field more particularly to a kind of scalable appearance method, apparatus of elasticity, server and Storage medium.
Background technique
With going from strength to strength for network crowd, each website will receive a large number of users access daily, and release User's amount of access is compared to usually exponentially increasing when activity or publication some important messages, this is just to the bearing capacity of website Propose requirements at the higher level.
Cause web station system to paralyse in order to avoid user's amount of access is excessive, release activity or publication important information it Before, need the server resource accessed the activity or information to carry out dilatation, so that the server resource of website meets user Requirements for access, but the activity for newly releasing or information often occur dilatation not in time, inaccuracy phenomenon, cause net The server resource stood is insufficient, leads to systemic breakdown.And after activity end, the server resource after dilatation leaves unused and can also make At the waste of server resource.
Summary of the invention
The present invention provides a kind of scalable appearance method, apparatus of elasticity, server and storage mediums, can be accurately and in time Server resource carries out automatic scalable appearance, saves scalable Rongcheng sheet, rationally utilizes server resource.In a first aspect, the present invention is real It applies example and provides elasticity expansion capacity reduction method, comprising:
Obtain the load data for the server that application program is accessed and the operation data of application program;
If the load data and the operation data reach preset condition, the resource of the server is carried out scalable Hold operation.
Second aspect, the embodiment of the invention also provides a kind of scalable capacitance devices of elasticity, comprising:
Data acquisition module, for obtaining the load data of the server where application program and the operation of application program Data;
Scalable molar block, if reaching preset condition for the load data and the operation data, to the application The server resource of program carries out scalable appearance operation.
The third aspect, the embodiment of the invention provides a kind of computer equipments, comprising: memory, processor and is stored in On memory and the computer program that can run on a processor, the processor realize the elasticity when executing described program Expand capacity reduction method.
Fourth aspect, the embodiment of the invention provides a kind of computer readable storage mediums, are stored thereon with computer journey Sequence realizes that the elasticity expands capacity reduction method when the program is executed by processor.
Technical solution provided in an embodiment of the present invention passes through the load data of monitoring server and the operation of application program Data compared with preset condition, and then judge whether to scalable appearance operation, can be accurately and in time to server resource Automatic scalable appearance is carried out, scalable Rongcheng sheet is saved, and rationally utilizes server resource.
Detailed description of the invention
Fig. 1 is the flow chart of the elasticity expansion capacity reduction method in the embodiment of the present invention one;
Fig. 2A is the structural block diagram of the scalable capacitance device of one of embodiment of the present invention two elasticity;
The structural block diagram of the scalable capacitance device of another kind elasticity in Fig. 2 B books inventive embodiments two;
Fig. 3, which is that one of embodiment of the present invention three elasticity is scalable, is installed with standby structural block diagram.
Specific embodiment
The present invention is described in further detail with reference to the accompanying drawings and examples.It is understood that this place is retouched The specific embodiment stated is used only for explaining the present invention rather than limiting the invention.It also should be noted that in order to just Only the parts related to the present invention are shown in description, attached drawing rather than entire infrastructure.
Embodiment one
Fig. 1 is the flow chart that the elasticity that the embodiment of the present invention one provides expands capacity reduction method, and the method for the present embodiment can be with base It is executed in elasticity scalable capacitance device, which can be integrated in server by software and or hardware realization, described device In, scene provided in an embodiment of the present invention can be used for the scene that server bearing capacity is insufficient or server is idle, especially When due to release activity, the insufficient scene of server resource caused by user's amount of access is excessive.As shown in Figure 1, specifically including Following steps:
Step S101: the load data of the server where application program and the operation data of application program are obtained;
Wherein, server is to provide the equipment of Computer Service, and function is in response to service request and is handled, tool It is standby to undertake service and ensure the ability of service.Server described in the embodiment of the present invention can be background server, i.e., It is user's server accessible by application program.Wherein, it when user terminal accesses server by application program, is visiting It needs that application program is installed on the server asked, the application program in the embodiment of the present invention can be mounted in answering on server Use program.For example, then needing to install bluetooth applications program on the server when accessing server by bluetooth by user terminal.
Multiple groups server can be arranged in usual website, and different according to the application program of installation, server can also execute different Function, user access server by the client of installation, keyword, network address when client input, or the entry clicked Or picture link it is different when, different servers may be accessed.Such as: on the interface for clicking an application program " " the corresponding server of link of preferential movable one " after the icon of preferential movable one ", can be accessed.
Optionally, the load data of the server and the operation data of application program are obtained, comprising: pass through server Agency obtains the load data of server, and the operation data of application program is obtained by Application Agent.In the present embodiment In, the load data of server can be at least one of CPU usage, network bandwidth and disk read-write rate;Using journey The operation data of sequence can be the time of server process operation flow consumption, for example, the time of response user's request.Service Device receives user's access, and " request of preferential movable one " is simultaneously pushed to user " preferential movable one " icon corresponds to the time at interface.
Step S102: if the load data and the operation data reach preset condition, to the application program Server resource carries out scalable appearance operation.
Wherein, the server resource of application program refers to the resource that application program is distributed in server.
Whether reach preset condition by comparing the load data of the server of acquisition and the operation data of application program, To determine whether needing to carry out the server resource where the application program dilatation or capacity reducing operation, if reaching preset Condition, then dilatation or capacity reducing operation are carried out to the server resource where application program, if not up to preset condition, that It does nothing.
Optionally, the preset condition, comprising: within a preset time, the average load of the server reaches first and sets Fixed load value, and the average time of processing business process consumption is greater than first time setting value;Service to the application program Device resource carries out dilatation operation;Or within a preset time, the average load of the server sets load value lower than second, and The average time of processing business process consumption less than the second time setting value, contracts to the server resource of the application program Hold operation.Such as: in 10 minutes, the CPU average service rate of application program A Servers-all is higher than 80%, while processing business When the average time of process consumption is greater than 1 second, dilatation operation will be carried out;In 12 hours, the CPU of application program A Servers-all Average service rate is lower than 30%, while the average time of processing business process consumption will carry out capacity reducing operation less than 100 milliseconds.
Optionally, if the load data and the operation data reach preset condition, to the resource of the server Carry out the operation of scalable appearance, may include: the load data that the server agent reports is received by decision engine, and The operation data that the Application Agent reports;And judge whether the load data and the operation data reach pre- If condition;It is operated if so, being sent by the decision engine and carrying out scalable appearance for the server resource to the application program Notice;The notice is received by the scalable appearance engine of elasticity, and is provided according to server of the notice to the application program Source carries out scalable appearance operation.
Wherein, the load data that server agent reports and the operation data that Application Agent reports are received, and is sentenced Whether disconnected load data and operation data reach preset condition, can complete in decision engine;Decision engine contains numerous Rule and condition, while having decision-making capability, in the present embodiment, preset to decision engine the rule and condition that are included Scalable appearance condition, in the application that the load data and Application Agent for receiving the server that server agent reports report After the operation data of program, compared with preset condition, if reaching preset condition, decision engine can be sent to the server resource Carry out the notice of scalable appearance;And the notice of decision engine sending is received, and expand the resource of the server according to notice Capacity reducing operation can be completed in the scalable appearance engine of elasticity.
Website operator can all have multiple standby servers, when user's amount of access is excessive or server damages, Standby server is transferred, to meet the needs of website operation, these servers have collectively constituted server free resource pool.
Optionally, it carries out scalable appearance to the server resource of the application program to operate, comprising: in server free resource Chi Zhong selects several servers, and installs the application program on selected server;Alternatively, described answer will be equipped with It is offline with several servers of program, the application program of the server is unloaded, and be put into idling-resource pond.Server free Server in resource pool does not install any application program, when a server is selected to carry some application program When operation, need the server installing corresponding application program;And leave unused in server resource, it needs the server It when offline, needs to delete application program, be put into idling-resource pond, to facilitate other applications to use.It rationally utilizes as a result, Server resource, ensure that the on-demand dilatation of each application program, while in turn avoid server resource occur idle.
In the prior art, when releasing some activities or some important messages of publication, user's amount of access, which is compared, is usually in Exponential growth, this just proposes requirements at the higher level to the bearing capacity of website.Release New activity or publication important information it Before, need the server resource accessed the activity or information to carry out dilatation, so that the server resource of website meets user Requirements for access, but the activity for newly releasing or information often occur dilatation not in time, inaccuracy phenomenon, cause net The server resource stood is insufficient, leads to systemic breakdown.And it needs to estimate the flowing of access of user, so that it is determined that service The resource of device, it is pre- to calculating from prediction model is established to guarantee a large amount of requirements for access of user, but when estimating flowing of access Estimate flow value whole process to take a long time, and causes to estimate flow value and the presence of actual flow value there are prediction model inaccuracy The problem of deviation.In addition it after estimating flow determination, needs according to the manual dilatation of flow progress is estimated, after activity end manually The server resource of dilatation is recycled, not only labor intensive, and taken considerable time.
And the embodiment of the present invention is realized and is corresponded to by the load data of monitoring server and the operation data of application program Scalable appearance is carried out with the server resource of program, avoids and the asynchronous caused dilatation of information occurs not in time, prediction model is not Flow value and actual flow value are estimated there are deviation caused by accurate, solve the problems, such as that previous manual dilatation expends overlong time, Dilatation cost is saved, ensure that application program still can smoothly be run after amount of access increase.
Embodiment two
Fig. 2A is a kind of structural block diagram of the scalable capacitance device of elasticity provided by Embodiment 2 of the present invention, and the present embodiment is applicable It is operated in carrying out scalable appearance to the server resource where application program, which can be wrapped by software and or hardware realization It includes:
Data acquisition module 21, for obtaining the load data of the server where application program and the fortune of application program Row data;
Scalable molar block 22 is answered if reaching preset condition for the load data and the operation data described Scalable appearance operation is carried out with the server resource of program.
As shown in Figure 2 B, optionally, data acquisition module 21 includes: server agent unit 211 and Application Agent Unit 212;Server agent unit 211 is used to report the load data of server, and Application Agent unit 212 is for reporting The operation data of application program.
In the present embodiment, the load data of server can be CPU usage, network bandwidth and disk read-write rate At least one of;The operation data of application program can be the time of processing business process consumption.
As shown in Figure 2 B, optionally, scalable molar block 22 includes: decision engine unit 221 and the scalable appearance engine list of elasticity Member 222;Decision engine unit 221 is used to receive the load data that the server agent unit 211 reports and described The operation data that Application Agent unit 212 reports, and judge whether the load data and the operation data reach To preset condition, scalable appearance operational notification is carried out to the resource of the server if so, issuing;The scalable appearance engine unit of elasticity 222, the scalable appearance operational notification issued for receiving the decision engine module 21, and to the resource of the server into The scalable appearance operation of row.
The preset condition, comprising: within a preset time, the average load of the server reaches the first setting load Value, and the average time of processing business process consumption is greater than first time setting value;To the server resource of the application program Carry out dilatation operation;Within a preset time, the average load of the server sets load value, and processing service flow lower than second The average time of journey consumption carries out capacity reducing operation less than the second time setting value, to the server resource of the application program.Example Such as: in 10 minutes, the CPU average service rate of application program A Servers-all is higher than 80%, while the consumption of processing business process When average time is greater than 1 second, dilatation operation will be carried out;In 12 hours, the CPU average service rate of application program A Servers-all Lower than 30%, while the average time of processing business process consumption will carry out capacity reducing operation less than 100 milliseconds.
Optionally, decision engine unit 221 contains numerous rules and condition, while having to the rule and condition that are included Decision-making capability pre-sets scalable appearance condition to decision engine unit 221, is receiving server generation in the present embodiment After the operation data for the application program that the load data and Application Agent for managing the server reported report, with preset condition ratio Compared with if reaching preset condition, decision engine unit 221 can send the notice for carrying out scalable appearance to the server resource;And it connects The notice that decision engine unit 221 issues is received, and scalable appearance is carried out according to resource of the notice to the server and is operated, Ke Yi It is completed in the scalable appearance engine unit 222 of elasticity.
Optionally, it carries out scalable appearance to the server resource of the application program to operate, comprising: in server free resource Chi Zhong selects several servers, and installs the application program on selected server;Alternatively, described answer will be equipped with It is offline with several servers of program, the application program of the server is unloaded, and be put into idling-resource pond.As a result, rationally Server resource is utilized, ensure that the on-demand dilatation of each application program, while it is idle in turn avoid occurring server resource.
Method provided by any embodiment of the invention can be performed in above-mentioned apparatus, has the corresponding functional module of execution method And beneficial effect.
Embodiment three
Fig. 3, which is that a kind of elasticity that provides of the embodiment of the present invention three is scalable, is installed with standby structural schematic diagram, as shown in figure 3, this Equipment includes processor 30, memory 31, input unit 32 and output device 33;The quantity of processor 30 can be one in equipment It is a or multiple, in Fig. 3 by taking a processing 30 as an example;Device handler 30, memory 31, input unit 32 and output device 33 can To be connected by bus or other modes, in Fig. 3 for being connected by bus.
Memory 31 is used as a kind of computer readable storage medium, can be used for storing software program, journey can be performed in computer Sequence and module, as the elasticity in the embodiment of the present invention two expands the corresponding module of capacity reduction method (for example, in the scalable capacitance device of elasticity Server agent unit 211, Application Agent unit 212, decision engine unit 221 and the scalable appearance engine unit of elasticity 222).Software program, instruction and the module that processor 30 is stored in memory 31 by operation, thereby executing each of equipment Kind functional application and data processing realize that above-mentioned elasticity expands capacity reduction method.
Memory 31 can mainly include storing program area and storage data area, wherein storing program area can store operation system Application program needed for system, at least one function;Storage data area, which can be stored, uses created data etc. according to terminal.This Outside, memory 31 may include high-speed random access memory, can also include nonvolatile memory, for example, at least a magnetic Disk storage device, flush memory device or other non-volatile solid state memory parts.In some instances, memory 31 can be further Including the memory remotely located relative to processor 30, these remote memories can pass through network connection to equipment.It is above-mentioned The example of network includes but is not limited to internet, intranet, local area network, mobile radio communication and combinations thereof.
Input unit 32 can be used for receiving the number or character information of input, and generate with the user setting of equipment and The related key signals input of function control.Output device 33 may include that display screen etc. shows equipment.
Example IV
The embodiment of the present invention four also provides a kind of storage medium comprising computer executable instructions, and the computer can be held Row instruction is used to execute when being executed a kind of elasticity expansion capacity reduction method by computer processor, this method comprises:
Obtain the load data of the server where application program and the operation data of application program;
If load data and operation data reach preset condition, scalable appearance is carried out to the server resource of application program and is grasped Make.
Certainly, a kind of storage medium comprising computer executable instructions, computer provided by the embodiment of the present invention The method operation that executable instruction is not limited to the described above, it is scalable to can also be performed elasticity provided by any embodiment of the invention Relevant operation in appearance method.
By the description above with respect to embodiment, it is apparent to those skilled in the art that, the present invention It can be realized by software and required common hardware, naturally it is also possible to which by hardware realization, but in many cases, the former is more Good embodiment.Based on this understanding, technical solution of the present invention substantially in other words contributes to the prior art Part can be embodied in the form of software products, which can store in computer readable storage medium In, floppy disk, read-only memory (Read-Only Memory, ROM), random access memory (Random such as computer Access Memory, RAM), flash memory (FLASH), hard disk or CD etc., including some instructions are with so that a computer is set Standby (can be personal computer, server or the network equipment etc.) executes method described in each embodiment of the present invention.
It is worth noting that, included each unit and module are only according to function in the embodiment of above-mentioned searcher Energy logic is divided, but is not limited to the above division, as long as corresponding functions can be realized;In addition, each function The specific name of energy unit is also only for convenience of distinguishing each other, the protection scope being not intended to restrict the invention.
Note that the above is only a better embodiment of the present invention and the applied technical principle.It will be appreciated by those skilled in the art that The invention is not limited to the specific embodiments described herein, be able to carry out for a person skilled in the art it is various it is apparent variation, It readjusts and substitutes without departing from protection scope of the present invention.Therefore, although being carried out by above embodiments to the present invention It is described in further detail, but the present invention is not limited to the above embodiments only, without departing from the inventive concept, also It may include more other equivalent embodiments, and the scope of the invention is determined by the scope of the appended claims.

Claims (10)

1. a kind of elasticity expands capacity reduction method, which is characterized in that the described method includes:
Obtain the load data of the server where application program and the operation data of application program;
If the load data and the operation data reach preset condition, the server resource of the application program is carried out Scalable appearance operation.
2. the method according to claim 1, wherein obtaining the load data and application program of the server Operation data, comprising:
The load data of the server is obtained by server agent, and the application program is obtained by Application Agent Operation data.
3. according to the method described in claim 2, it is characterized in that, if the load data and the operation data reach pre- If condition, scalable appearance is carried out to the resource of the server and is operated, comprising:
The load data that the server agent reports is received by decision engine and the Application Agent reports The operation data;And judge whether the load data and the operation data reach preset condition;
The logical of scalable appearance operation is carried out for the server resource to the application program if so, sending by the decision engine Know;
Receive the notice by scalable the appearances engine of elasticity, and according to it is described notify to the server resource of the application program into The scalable appearance operation of row.
4. the method according to claim 1, wherein if the load data and the operation data reach pre- If condition, scalable appearance is carried out to the server resource of the application program and is operated, comprising:
Within a preset time, the average load of the server reaches the first setting load value, and the consumption of processing business process Average time is greater than first time setting value;Dilatation operation is carried out to the server resource of the application program;
Within a preset time, the average load of the server lower than second setting load value, and processing business process consumption Average time carries out capacity reducing operation less than the second time setting value, to the server resource of the application program.
5. the method according to claim 1, wherein the server resource to the application program expands Capacity reducing operation, comprising:
In server free resource pool, several servers are selected, and the application program is installed on selected server; Alternatively,
Several servers for being equipped with the application program are offline, the application program of the server is unloaded, and be put into the free time In resource pool.
6. the method according to claim 1, wherein the load data of the server, comprising:
At least one of CPU usage, network bandwidth and disk read-write rate data.
7. the method according to claim 1, wherein the operation data of the application program, comprising: processing business The time of process consumption.
8. a kind of scalable capacitance device of elasticity characterized by comprising
Data acquisition module, for obtaining the load data of the server where application program and the operation number of application program According to;
Scalable molar block, if reaching preset condition for the load data and the operation data, to the application program Server resource carry out scalable appearances and operate.
9. a kind of server including memory, processor and stores the computer that can be run on a memory and on a processor Program, which is characterized in that the processor realizes that the elasticity as described in any in claim 1-7 is scalable when executing described program Appearance method.
10. a kind of computer readable storage medium, is stored thereon with computer program, which is characterized in that the program is by processor Realize that the elasticity as described in any in claim 1-7 expands capacity reduction method when execution.
CN201810884151.6A 2018-08-06 2018-08-06 A kind of scalable appearance method, apparatus of elasticity, server and storage medium Pending CN109032805A (en)

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CN108023742A (en) * 2016-10-31 2018-05-11 阿里巴巴集团控股有限公司 A kind of expansion method of application, device and system
CN108076082A (en) * 2016-11-09 2018-05-25 阿里巴巴集团控股有限公司 A kind of expansion method of application cluster, device and system

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CN109766175A (en) * 2018-12-28 2019-05-17 深圳晶泰科技有限公司 Resource elastic telescopic system and its dispatching method towards high-performance calculation on cloud
WO2020133245A1 (en) * 2018-12-28 2020-07-02 深圳晶泰科技有限公司 Cloud resource elastic scaling system for high performance computing and scheduling method
CN111400023A (en) * 2019-01-02 2020-07-10 中国移动通信有限公司研究院 Resource pool redundancy rate adjusting method, device, medium and equipment
CN111400023B (en) * 2019-01-02 2024-03-22 中国移动通信有限公司研究院 Resource pool redundancy rate adjustment method, device, medium and equipment
CN110096339A (en) * 2019-05-10 2019-08-06 重庆八戒电子商务有限公司 A kind of scalable appearance configuration recommendation system and method realized based on system load
CN110502338A (en) * 2019-07-16 2019-11-26 阿里巴巴集团控股有限公司 A kind of performance dilatation prediction technique, calculates equipment and storage medium at device
CN110502338B (en) * 2019-07-16 2023-04-11 蚂蚁金服(杭州)网络技术有限公司 Performance capacity expansion prediction method and device, computing equipment and storage medium
CN110995856A (en) * 2019-12-16 2020-04-10 上海米哈游天命科技有限公司 Method, device and equipment for server expansion and storage medium
CN112671570A (en) * 2020-12-16 2021-04-16 微梦创科网络科技(中国)有限公司 Method and system for automatically expanding and contracting capacity
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