CN108696554A - Load-balancing method and device - Google Patents
Load-balancing method and device Download PDFInfo
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- CN108696554A CN108696554A CN201710227853.2A CN201710227853A CN108696554A CN 108696554 A CN108696554 A CN 108696554A CN 201710227853 A CN201710227853 A CN 201710227853A CN 108696554 A CN108696554 A CN 108696554A
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- H—ELECTRICITY
- H04—ELECTRIC COMMUNICATION TECHNIQUE
- H04L—TRANSMISSION OF DIGITAL INFORMATION, e.g. TELEGRAPHIC COMMUNICATION
- H04L67/00—Network arrangements or protocols for supporting network services or applications
- H04L67/01—Protocols
- H04L67/10—Protocols in which an application is distributed across nodes in the network
- H04L67/1001—Protocols in which an application is distributed across nodes in the network for accessing one among a plurality of replicated servers
- H04L67/1004—Server selection for load balancing
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Abstract
This application discloses load-balancing methods and device.One specific implementation mode of this method includes:The enabled instruction to goal task is received, which includes server identification;Determine the quantity for the task that each execute server in multiple execute server is currently assigned to and the maximum executing tasks parallelly quantity that preset, each execute server is supported;The quantity of not being assigned to currently for the execute server indicated by sky and the server identification in response to determining the server identification for task is not less than the maximum executing tasks parallelly quantity that the execute server indicated by the server identification is supported, the task quantity and identified each maximum executing tasks parallelly quantity being currently assigned to based on each execute server, it determines the target execute server in multiple execute server, and the goal task is sent to the target execute server.This embodiment improves the effects of load balancing, improve resource utilization.
Description
Technical field
This application involves field of computer technology, and in particular to Internet technical field more particularly to load-balancing method
And device.
Background technology
With the development of computer technology, need to build the server being made of multiple servers in more and more scenes
Cluster is to realize that task is handled.It is often necessary to rational task distribution be carried out to the server in server cluster, to reach negative
Carry balanced purpose.
Existing load-balancing method is usually to determine the loading condition of each server every fixed duration, and then be based on institute
Determining loading condition carries out task distribution.However, each server that existing mode is determined in task assignment procedure
Loading condition be not current real time load situation, it is existing thus in the case where task quantity is more, concurrency is big
Mode has that the effect of load balancing is poor.
Invention content
The purpose of the embodiment of the present application is to propose a kind of improved load-balancing method and device, to solve background above
The technical issues of technology segment is mentioned.
In a first aspect, the embodiment of the present application provides a kind of load-balancing method, load-balanced server and multiple execution
Server communication connects, and this method includes:The enabled instruction to goal task is received, enabled instruction includes being used to indicate multiple hold
The server identification of in row server, performance objective task execute server;It determines each in multiple execute servers
Parallel execute of maximum that the quantity for the task that execute server is currently assigned to and preset, each execute server are supported is appointed
Business quantity;In response to determining what server identification was not assigned to currently for the execute server indicated by empty and server identification
The quantity of task is based on institute not less than the maximum executing tasks parallelly quantity that the execute server indicated by server identification is supported
The task quantity and identified each maximum executing tasks parallelly quantity that determining each execute server is currently assigned to,
It determines the target execute server in multiple execute servers, and goal task is sent to target execute server.
In some embodiments, this method further includes:In response to determining that server identification is sky, by multiple execute servers
In, the execute server of the quantity minimum of task that is currently assigned to is determined as target execute server, and target appointed
Business is sent to target execute server.
In some embodiments, this method further includes:In response to determining that the execute server indicated by server identification is worked as
Before the quantity of task that is assigned to be less than the maximum executing tasks parallelly that the execute server indicated by server identification is supported
Execute server indicated by server identification is determined as target execute server, and goal task is sent to mesh by quantity
Mark execute server.
In some embodiments, the task quantity that is currently assigned to based on each execute server and identified each
Maximum executing tasks parallelly quantity determines the target execute server in multiple execute servers, including:Clothes are executed for multiple
Each execute server being engaged in device determines quantity and the execution service of the task that the execute server is currently assigned to
The ratio of the maximum executing tasks parallelly quantity of device;Execute server with minimum ratio is determined as target and executes service
Device.
In some embodiments, after goal task is sent to target execute server, this method further includes:By mesh
The quantity for the task that mark execute server is currently assigned to increases default value and is stored.
In some embodiments, after goal task is sent to target execute server, this method further includes:Response
In execution completion message that receive the transmission of target execute server, to be used to indicate goal task executed completion, by target
The quantity for the task that execute server is currently assigned to subtracts default value and is stored..
Second aspect, the embodiment of the present application provide a kind of load balancing apparatus, load-balanced server and multiple execution
Server communication connects, which includes:Receiving unit is configured to receive the enabled instruction to goal task, enabled instruction
Server identification including being used to indicate in multiple execute servers, performance objective task execute server;Determination unit,
Be configured to determine the quantity of task that each execute server in multiple execute servers is currently assigned to and it is preset,
The maximum executing tasks parallelly quantity that each execute server is supported;First transmission unit is configured to service in response to determining
Device mark is not the quantity for the task that the execute server indicated by empty and server identification is currently assigned to not less than service
The maximum executing tasks parallelly quantity that the indicated execute server of device mark is supported, based on identified each execute server
The task quantity and identified each maximum executing tasks parallelly quantity being currently assigned to, determine in multiple execute servers
Target execute server, and goal task is sent to target execute server.
In some embodiments, which further includes:Second transmission unit is configured in response to determining server identification
For sky, the execute server of the quantity minimum of task in multiple execute servers, being currently assigned to is determined as target
Execute server, and goal task is sent to target execute server.
In some embodiments, which further includes:Third transmission unit is configured in response to determining server identification
The quantity for the task that indicated execute server is currently assigned to is less than the execute server branch indicated by server identification
The maximum executing tasks parallelly quantity held, is determined as target execute server by the execute server indicated by server identification,
And goal task is sent to target execute server.
In some embodiments, the first transmission unit is further configured to:For each in multiple execute servers
The maximum of a execute server, the quantity for determining the task that the execute server is currently assigned to and the execute server is parallel
The ratio of execution task quantity;Execute server with minimum ratio is determined as target execute server.
In some embodiments, device further includes:First storage unit is configured to the current quilt of target execute server
The quantity of being assigned to for task increases default value and is stored.
In some embodiments, device further includes:Second storage unit is configured to execute clothes in response to receiving target
Message is completed in execution that business device is sent, being used to indicate goal task executed completion, and target execute server is currently divided
The quantity of being fitted on for task subtracts default value and is stored.
The third aspect, the embodiment of the present application provide a kind of load-balanced server, including:One or more processors;
Storage device, for storing one or more programs, when one or more of programs are held by one or more of processors
Row so that one or more of processors realize the method as described in any embodiment in above-mentioned load-balancing method.
Load-balancing method and device provided by the embodiments of the present application, by reception comprising server identification, to target
The enabled instruction of task, the maximum for then determining the quantity for the task that each execute server is currently assigned to and supporting are parallel
Execution task quantity, finally in response to determining that server identification is current not for the execute server indicated by empty and server identification
The quantity of being assigned to for task is not less than the maximum executing tasks parallelly that the execute server indicated by server identification is supported
Quantity, the task quantity being currently assigned to based on each execute server and identified each maximum executing tasks parallelly number
Amount, determines target execute server, so that goal task is sent to target execute server, so as to be based on each executing clothes
Be engaged in device real-time task situation carry out task distribution, ensure that the loading condition of obtained execute server accuracy and
Real-time, and then the effect of load balancing is improved, it improves resource utilization.
Description of the drawings
By reading a detailed description of non-restrictive embodiments in the light of the attached drawings below, the application's is other
Feature, objects and advantages will become more apparent upon:
Fig. 1 is that this application can be applied to exemplary system architecture figures therein;
Fig. 2 is the flow chart according to one embodiment of the load-balancing method of the application;
Fig. 3 is the schematic diagram according to an application scenarios of the load-balancing method of the application;
Fig. 4 is the flow chart according to another embodiment of the load-balancing method of the application;
Fig. 5 is the structural schematic diagram according to one embodiment of the load balancing apparatus of the application;
Fig. 6 is adapted for the structural schematic diagram of the computer system of the server for realizing the embodiment of the present application.
Specific implementation mode
The application 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 related invention, rather than the restriction to the invention.It also should be noted that in order to
Convenient for description, is illustrated only in attached drawing and invent relevant part with related.
It should be noted that in the absence of conflict, the features in the embodiments and the embodiments of the present application can phase
Mutually combination.The application is described in detail below with reference to the accompanying drawings and in conjunction with the embodiments.
Fig. 1 shows the exemplary system architecture of the load-balancing method or load balancing apparatus that can apply the application
100。
As shown in Figure 1, system architecture 100 may include load-balanced server 101, network 102 and execute server
103,104,105.Network 102 between load-balanced server 101 and execute server 103,104,105 providing communication
The medium of link.Network 102 may include various connection types, such as wired, wireless communication link or fiber optic cables etc..
Load-balanced server 101 can receive the enabled instruction of various tasks, can also obtain execute server 103,
104,105 current task situations (such as the quantity of being currently assigned to for task, the maximum executing tasks parallelly quantity of support
Deng), acquired task situation can also be carried out the processing such as to analyze, and send out task by network 102 based on handling result
It send to the respective server in execute server 103,104,105.
In addition, system architecture 100 can also include database 106, database 106 can be for managing various data
, various types of databases, such as the database for storing the current task situation of execute server 103,104,105
(such as redis etc.).At this point, load-balanced server 101 can in real time from database 106 obtain execute server 103,
104,105 task situation.
Execute server 103,104,105 can be performed in parallel from 101 received task of load-balanced server.Separately
Outside, execute server 103,104,105 can also be performed in parallel received task, and each execute server 103,
104,105 it can be configured with task queue, for storing having distributed and having had not carried out for task.
It should be noted that the load-balancing method that the embodiment of the present application is provided is generally by load-balanced server 101
It executes, correspondingly, load balancing apparatus is generally positioned in load-balanced server 101.
It should be understood that the number of the terminal device, network and server in Fig. 1 is only schematical.According to realization need
It wants, can have any number of load-balanced server, network and execute server.
With continued reference to Fig. 2, the flow 200 of one embodiment of the load-balancing method according to the application is shown.It is described
Load-balancing method, include the following steps:
Step 201, the enabled instruction to goal task is received.
In the present embodiment, load-balancing method operation thereon electronic equipment (such as load balancing shown in FIG. 1 clothes
Business device 101) enabled instruction to goal task can be received, wherein above-mentioned enabled instruction may include be used to indicate with it is above-mentioned
In multiple execute servers (such as execute server shown in FIG. 1 103,104,105) of electronic equipment communication connection, execution
The server identification of the execute server of above-mentioned goal task.It should be pointed out that each in above-mentioned multiple execute servers
A execute server corresponds to a server identification, and server identification can serve to indicate that and distinguish each execute server.This
Outside, server identification can be the title of server, the IP address of server and/or by any character (such as number, letter,
Symbol etc.) character string etc. that constitutes.It should be noted that above-mentioned goal task can be arbitrary pending task, and should
Task can be performed performed by server.
In practice, above-mentioned electronic equipment can connect with above-mentioned multiple execute servers by wired connection mode or wirelessly
The mode of connecing establishes connection.It should be pointed out that above-mentioned radio connection can include but is not limited to 3G/4G connections, WiFi connects
Connect, bluetooth connection, WiMAX connections, Zigbee connections, UWB (ultra wideband) connections and other it is currently known or will
Come the radio connection developed.
It should be noted that above-mentioned enabled instruction, which can be automatic trigger or manual triggering mode, is sent to above-mentioned electronics
Equipment does not limit herein.Wherein, automatic trigger can be that each pre-set preset duration sends enabled instruction, on
It can be that staff sends enabled instruction manually to state triggering manually.
Step 202, the quantity for the task that each execute server in multiple execute servers is currently assigned to is determined
The maximum executing tasks parallelly quantity supported with preset, each execute server.
In the present embodiment, above-mentioned electronic equipment is after receiving above-mentioned enabled instruction, can from above-mentioned electronic equipment
Each execution service in above-mentioned multiple execute servers is obtained in connected database (such as database 106 shown in FIG. 1)
The maximum executing tasks parallelly quantity that the quantity for the task that device is currently assigned to and preset, each execute server are supported.
Herein, the quantity of being currently assigned to for each execute server, the execute server for task can be it is current
The sum of the quantity of task stored in the quantity of the task of execution and the task queue of the execute server.Each executes clothes
Business device can correspond to a preset maximum executing tasks parallelly quantity, which can be based on being somebody's turn to do
Being pre-configured with for execute server and determine.It should be noted that above-mentioned electronic equipment directly can execute service from each
The quantity of being currently assigned to for task and maximum executing tasks parallelly quantity are obtained in device.
In practice, above-mentioned database can be stored with and the relevant various data of each execute server.It is right as signal
In each execute server, above-mentioned database, which can be stored with, to be held using the server identification of the execute server as key, with this
The quantity for the task that row server is currently assigned to is the data of the key-value pair form of value.Meanwhile may be used also in above-mentioned database
To be stored with using the server identification of the execute server as key, with maximum executing tasks parallelly corresponding with the execute server
Quantity is the data of the key-value pair form of value.It should be noted that for newly deployed execute server, above-mentioned database is deposited
The initial value of the quantity of task store up, that the newly deployed execute server is assigned to is zero.
Step 203, in response to determining that server identification is current not for the execute server indicated by empty and server identification
The quantity of being assigned to for task is not less than the maximum executing tasks parallelly that the execute server indicated by server identification is supported
Quantity is held parallel based on the task quantity and identified each maximum that identified each execute server is currently assigned to
Row task quantity determines the target execute server in multiple execute servers, and goal task is sent to target and executes clothes
Business device.
In the present embodiment, above-mentioned electronic equipment can determine first server identification that step 201 receives whether be
It is empty.Then, it is not sky in response to the above-mentioned server identification of determination, above-mentioned electronic equipment can will be indicated by above-mentioned server identification
The quantity of task that is currently assigned to of execute server determines the maximum of each execute server support with step 202
Parallel number of executions is compared.Later, the quantity of being currently assigned in response to the determining execute server for task is not small
In the parallel number of executions of maximum that the execute server is supported, above-mentioned electronic equipment can be each based on determined by step 202
The task quantity and identified each maximum executing tasks parallelly quantity that execute server is currently assigned to, determine above-mentioned more
Target execute server in a execute server.Finally, goal task is sent to target execute server.
In the present embodiment, above-mentioned electronic equipment by the task quantity that is currently assigned to each execute server and
Identified each maximum executing tasks parallelly quantity carries out the mode of numerical computations, determines in above-mentioned multiple execute servers
Target execute server.
In some optional realization methods of the present embodiment, for each execution in above-mentioned multiple execute servers
Server, above-mentioned electronic equipment can determine that the quantity for the task that the execute server is currently assigned to executes clothes with this first
The ratio of the maximum executing tasks parallelly quantity of business device;Later, the execute server with minimum ratio is determined as target to hold
Row server.
In some optional realization methods of the present embodiment, for each execution in above-mentioned multiple execute servers
Server, above-mentioned electronic equipment can determine maximum executing tasks parallelly quantity and the execution service of the execute server first
The difference of the quantity for the task that device is currently assigned to;Later, the execute server of had minimal difference is determined as target
Execute server.
In some optional realization methods of the present embodiment, for each execution in above-mentioned multiple execute servers
Server, above-mentioned electronic equipment can determine maximum executing tasks parallelly quantity and the execution service of the execute server first
The difference of the quantity for the task that device is currently assigned to;Later, maximum parallel execution of the difference with the execute server is determined
The ratio of task quantity;Finally, the execute server with minimum ratio is determined as target execute server.
It should be noted that above-mentioned electronic equipment, which is also based on other numerical operations defaulted to, determines above-mentioned multiple hold
Target execute server in row server, details are not described herein.
It is a schematic diagram according to the application scenarios of the load-balancing method of the present embodiment with continued reference to Fig. 3, Fig. 3.
In the application scenarios of Fig. 3, load-balanced server 301 receives the enabled instruction with server identification and starts execution 302 first;
Then, load-balanced server 301 determines the task that each execute server in multiple execute servers is currently assigned to
Quantity 303 and preset, each execute server support maximum executing tasks parallelly quantity 304;Bear determine it is above-mentioned
The quantity for the task that server identification is not assigned to currently for the execute server indicated by empty and above-mentioned server identification is not
After the maximum executing tasks parallelly quantity supported less than the execute server indicated by above-mentioned server identification, it is based on each execution
The task quantity 303 and identified each maximum executing tasks parallelly quantity 304 that server is currently assigned to, determine above-mentioned
Target execute server 305 in multiple execute servers, and goal task 306 is sent to target execute server 305.
The method that above-described embodiment of the application provides is by receiving startup comprising server identification, to goal task
Instruction then determines the maximum executing tasks parallelly number of the quantity and support of the task that each execute server is currently assigned to
Amount is not finally execute server indicated by empty and above-mentioned server identification currently quilt in response to the above-mentioned server identification of determination
Execute parallel not less than the maximum that the execute server indicated by above-mentioned server identification is supported of the quantity of being assigned to for task is appointed
Business quantity, the task quantity being currently assigned to based on each execute server and identified each maximum executing tasks parallelly
Quantity determines target execute server, each so as to be based on so that above-mentioned goal task is sent to target execute server
The real-time task situation of execute server carries out the distribution of task, ensure that the standard of the loading condition of obtained execute server
True property and real-time, and then the effect of load balancing is improved, it improves resource utilization.
With further reference to Fig. 4, it illustrates the flows 400 of another embodiment of load-balancing method.The load balancing
The flow 400 of method, includes the following steps:
Step 401, the enabled instruction to goal task is received.
In the present embodiment, load-balancing method operation thereon electronic equipment (such as load balancing shown in FIG. 1 clothes
Business device 101) enabled instruction to goal task can be received, wherein above-mentioned enabled instruction may include be used to indicate with it is above-mentioned
In multiple execute servers (such as execute server shown in FIG. 1 103,104,105) of electronic equipment communication connection, execution
The server identification of the execute server of above-mentioned goal task.
Step 402, the quantity for the task that each execute server in multiple execute servers is currently assigned to is determined
The maximum executing tasks parallelly quantity supported with preset, each execute server.
In the present embodiment, above-mentioned electronic equipment is after receiving above-mentioned enabled instruction, can from above-mentioned electronic equipment
Each execution service in above-mentioned multiple execute servers is obtained in connected database (such as database 106 shown in FIG. 1)
The maximum executing tasks parallelly quantity that the quantity for the task that device is currently assigned to and preset, each execute server are supported.
Herein, the quantity of being currently assigned to for each execute server, the execute server for task can be it is current
The sum of the quantity of task stored in the quantity of the task of execution and the task queue of the execute server.
Step 403, in response to determining that server identification is current not for the execute server indicated by empty and server identification
The quantity of being assigned to for task is not less than the maximum executing tasks parallelly that the execute server indicated by server identification is supported
Quantity determines the ratio of the quantity and maximum executing tasks parallelly quantity of the task that each execute server is currently assigned to,
Execute server corresponding to minimum ratio in identified ratio is determined as target execute server, and by goal task
It is sent to target execute server.
In the present embodiment, above-mentioned electronic equipment can determine first server identification that step 401 receives whether be
It is empty.It is sky in response to the above-mentioned server identification of determination, step 405 can be executed;It is not in response to the above-mentioned server identification of determination
Sky, the quantity for the task that the execute server indicated by above-mentioned server identification can be currently assigned to by above-mentioned electronic equipment
The parallel number of executions of maximum supported with the execute server is compared.In response to determining that the execute server is currently assigned
The quantity of arriving for task is less than the parallel number of executions of maximum that the execute server is supported, can execute step 406.In response to true
The quantity for the task that the fixed execute server is currently assigned to is parallel not less than the maximum that the execute server is supported to execute number
Amount, above-mentioned electronic equipment can determine that each execute server in above-mentioned multiple execute servers is currently assigned to first
Task quantity and the execute server maximum executing tasks parallelly quantity ratio;It later, will be in identified ratio
Minimum ratio corresponding to execute server be determined as target execute server, and above-mentioned goal task is sent to target and is held
Row server.
Step 404, in response to determining that server identification is sky, by it is in multiple execute servers, be currently assigned to
The execute server of the quantity minimum of task is determined as target execute server, and goal task is sent to target and executes service
Device.
In the present embodiment, in response to determining that the server identification received by step 401 is sky, above-mentioned electronic equipment can
The execute server of the quantity minimum of task in above-mentioned multiple execute servers, being currently assigned to is determined as target
Execute server, and above-mentioned goal task is sent to the target execute server.
Step 405, the number of being currently assigned in response to the execute server indicated by determining server identification for task
Amount is less than the maximum executing tasks parallelly quantity that the execute server indicated by server identification is supported, by server identification meaning
The execute server shown is determined as target execute server, and goal task is sent to the target execute server.
In the present embodiment, it is currently assigned in response to the execute server indicated by the above-mentioned server identification of determination
The quantity of task is less than the maximum executing tasks parallelly quantity that the execute server indicated by above-mentioned server identification is supported, above-mentioned
Execute server indicated by above-mentioned server identification directly can be determined as target execute server by electronic equipment, and by mesh
Mark task is sent to the target execute server.
Step 406, the quantity for the task that target execute server is currently assigned to is increased into default value and deposited
Storage.
In the present embodiment, after the completion of step 404 or step 405 or step 406 execute, above-mentioned electronic equipment can carry
The quantity of being currently assigned to for the task corresponding to the server identification for the destination server that above-mentioned database stored is taken, and
It is stored into above-mentioned database after the quantity is increased default value, in practice, which can be 1.
Step 407, in response to receive target execute server transmission, be used to indicate goal task executed completion
It executes and completes message, the quantity for the task that target execute server is currently assigned to is subtracted into default value and is stored.
In the present embodiment, in response to receive target execute server transmission, be used to indicate goal task executed
Message is completed in the execution of completion, and above-mentioned electronic equipment can extract the server mark for the destination server that above-mentioned database is stored
The quantity for knowing corresponding being currently assigned to for task, stores after the quantity extracted is subtracted default value to above-mentioned database
In, in practice, which can be 1.
Figure 4, it is seen that compared with the corresponding embodiments of Fig. 2, the flow of the load-balancing method in the present embodiment
400 highlight processing step, the execute server of server identification instruction to the situation that the server identification received is sky
The quantity of being currently assigned to for task is less than parallel execute of maximum that the execute server indicated by server identification is supported and appoints
The processing step of the case where quantity of being engaged in, and send the more new task related data after goal task to target execute server
The step of.As a result, the scheme of the present embodiment description may be implemented it is a variety of in the case of task distribution, it is equal to further improve load
The effect of weighing apparatus, and further improve resource utilization
With further reference to Fig. 5, as the realization to method shown in above-mentioned each figure, this application provides a kind of load balancing dresses
The one embodiment set, the device embodiment is corresponding with embodiment of the method shown in Fig. 2, which specifically can be applied to respectively
In kind electronic equipment.
As shown in figure 5, the load balancing apparatus 500 described in the present embodiment includes:Receiving unit 501 is configured to receive
Enabled instruction to goal task, above-mentioned enabled instruction include be used to indicate it is in above-mentioned multiple execute servers, execute it is above-mentioned
The server identification of the execute server of goal task;Determination unit 502 is configured to determine in above-mentioned multiple execute servers
The quantity of task that is currently assigned to of each execute server and the maximum supported of preset, each execute server it is parallel
Execution task quantity;First transmission unit 503 is configured to not be empty and above-mentioned service in response to the above-mentioned server identification of determination
The quantity for the task that the indicated execute server of device mark is currently assigned to is not less than indicated by above-mentioned server identification
The maximum executing tasks parallelly quantity that execute server is supported, the task quantity being currently assigned to based on each execute server
With identified each maximum executing tasks parallelly quantity, the target execute server in above-mentioned multiple execute servers is determined,
And above-mentioned goal task is sent to above-mentioned target execute server.
In the present embodiment, the startup that can be received to goal task of 500 receiving unit 501 of above-mentioned load balancing apparatus
Instruction, wherein above-mentioned enabled instruction may include being used to indicate the multiple execution communicated to connect with above-mentioned load balancing apparatus 500
Execute server in server (such as execute server shown in FIG. 1 103,104,105), executing above-mentioned goal task
Server identification.
In the present embodiment, above-mentioned determination unit 502 is after receiving above-mentioned enabled instruction, can be from equal with above-mentioned load
It is each in the middle above-mentioned multiple execute servers of acquisition of the connected database (such as database 106 shown in FIG. 1) of device 500 that weighs
Parallel execute of maximum that the quantity for the task that execute server is currently assigned to and preset, each execute server are supported is appointed
Business quantity.Herein, the quantity of being currently assigned to for each execute server, the execute server for task can be worked as
Before the quantity of task that is carrying out and the sum of the quantity of task stored in the task queue of the execute server.
In the present embodiment, above-mentioned first transmission unit 503 can determine first the server identification received whether be
It is empty.Then, it is not sky in response to the above-mentioned server identification of determination, above-mentioned first transmission unit 503 can be by above-mentioned server mark
The maximum of the quantity and execute server support of knowing the task that indicated execute server is currently assigned to is parallel to be executed
Quantity is compared.Later, the quantity of being currently assigned in response to the determining execute server for task is not less than the execution
The parallel number of executions of maximum that server is supported, above-mentioned first transmission unit 503 can be based on each execute server currently quilt
The task quantity and identified each maximum executing tasks parallelly quantity being assigned to, determine in above-mentioned multiple execute servers
Target execute server.Finally, goal task is sent to target execute server.Herein, above-mentioned first transmission unit 503 is logical
Cross the task quantity that each execute server is currently assigned to and identified each maximum executing tasks parallelly quantity into
The mode of row numerical computations determines the target execute server in above-mentioned multiple execute servers.
In some optional realization methods of the present embodiment, above-mentioned first transmission unit 503 can further configure use
In for each execute server in above-mentioned multiple execute servers, times that the execute server is currently assigned to is determined
The ratio of the quantity of business and the maximum executing tasks parallelly quantity of the execute server;By the minimum ratio in identified ratio
Corresponding execute server is determined as target execute server.
In some optional realization methods of the present embodiment, above-mentioned load balancing apparatus 500 can also include the second hair
Send unit (not shown).Wherein, above-mentioned second transmission unit may be configured in response to the above-mentioned server identification of determination
For sky, the execute server of the quantity minimum of task in above-mentioned multiple execute servers, being currently assigned to is determined as
Target execute server, and above-mentioned goal task is sent to above-mentioned target execute server.
In some optional realization methods of the present embodiment, above-mentioned load balancing apparatus 500 can also include that third is sent out
Send unit (not shown).Wherein, above-mentioned third transmission unit may be configured in response to the above-mentioned server identification of determination
The quantity for the task that indicated execute server is currently assigned to is less than the execution service indicated by above-mentioned server identification
Execute server indicated by above-mentioned server identification is determined as target and executed by the maximum executing tasks parallelly quantity that device is supported
Server, and above-mentioned goal task is sent to above-mentioned target execute server.
In some optional realization methods of the present embodiment, above-mentioned load balancing apparatus 500 can also be deposited including first
Storage unit (not shown).Wherein, above-mentioned first storage unit may be configured to above-mentioned target execute server is current
The quantity of being assigned to for task increases default value and is stored.
In some optional realization methods of the present embodiment, above-mentioned load balancing apparatus 500 can also be deposited including second
Storage unit (not shown).Wherein, above-mentioned second storage unit may be configured to execute in response to receiving above-mentioned target
Message is completed in execution that server is sent, being used to indicate above-mentioned goal task executed completion, and above-mentioned target is executed service
The quantity for the task that device is currently assigned to subtracts above-mentioned default value and is stored.
The device that above-described embodiment of the application provides, by receiving unit 501 receive it is comprising server identification, to mesh
The enabled instruction of mark task, then determination unit 502 determine the task that each execute server is currently assigned to quantity and
The maximum executing tasks parallelly quantity of support, last first transmission unit 503 are not sky in response to the above-mentioned server identification of determination
And the quantity of task that the execute server indicated by above-mentioned server identification is currently assigned to is not less than above-mentioned server mark
Know the maximum executing tasks parallelly quantity that indicated execute server is supported, is currently assigned to based on each execute server
Task quantity and identified each maximum executing tasks parallelly quantity, target execute server is determined, so as to by above-mentioned mesh
Mark task is sent to target execute server, and point of task is carried out so as to the real-time task situation based on each execute server
Hair, ensure that the accuracy and real-time of the loading condition of obtained execute server, and then improve the effect of load balancing
Fruit improves resource utilization.
Below with reference to Fig. 6, it illustrates the computer systems 600 suitable for the server for realizing the embodiment of the present application
Structural schematic diagram.Server shown in Fig. 6 is only an example, should not be to the function and use scope band of the embodiment of the present application
Carry out any restrictions.
As shown in fig. 6, computer system 600 includes central processing unit (CPU) 601, it can be read-only according to being stored in
Program in memory (ROM) 602 or be loaded into the program in random access storage device (RAM) 603 from storage section 608 and
Execute various actions appropriate and processing.In RAM 603, also it is stored with system 600 and operates required various programs and data.
CPU 601, ROM 602 and RAM 603 are connected with each other by bus 604.Input/output (I/O) interface 605 is also connected to always
Line 604.
It is connected to I/O interfaces 605 with lower component:Importation 606 including keyboard, mouse etc.;It is penetrated including such as cathode
The output par, c 607 of spool (CRT), liquid crystal display (LCD) etc. and loud speaker etc.;Storage section 608 including hard disk etc.;
And the communications portion 609 of the network interface card including LAN card, modem etc..Communications portion 609 via such as because
The network of spy's net executes communication process.Driver 610 is also according to needing to be connected to I/O interfaces 605.Detachable media 611, such as
Disk, CD, magneto-optic disk, semiconductor memory etc. are mounted on driver 610, as needed in order to be read from thereon
Computer program be mounted into storage section 608 as needed.
Particularly, in accordance with an embodiment of the present disclosure, it may be implemented as computer above with reference to the process of flow chart description
Software program.For example, embodiment of the disclosure includes a kind of computer program product comprising be carried on computer-readable medium
On computer program, which includes the program code for method shown in execution flow chart.In such reality
It applies in example, which can be downloaded and installed by communications portion 609 from network, and/or from detachable media
611 are mounted.When the computer program is executed by central processing unit (CPU) 601, limited in execution the present processes
Above-mentioned function.It should be noted that computer-readable medium described herein can be computer-readable signal media or
Computer readable storage medium either the two arbitrarily combines.Computer readable storage medium for example can be --- but
Be not limited to --- electricity, magnetic, optical, electromagnetic, infrared ray or semiconductor system, device or device, or arbitrary above combination.
The more specific example of computer readable storage medium can include but is not limited to:Electrical connection with one or more conducting wires,
Portable computer diskette, hard disk, random access storage device (RAM), read-only memory (ROM), erasable type may be programmed read-only deposit
Reservoir (EPROM or flash memory), optical fiber, portable compact disc read-only memory (CD-ROM), light storage device, magnetic memory
Part or above-mentioned any appropriate combination.In this application, computer readable storage medium can any be included or store
The tangible medium of program, the program can be commanded the either device use or in connection of execution system, device.And
In the application, computer-readable signal media may include the data letter propagated in a base band or as a carrier wave part
Number, wherein carrying computer-readable program code.Diversified forms may be used in the data-signal of this propagation, including but not
It is limited to electromagnetic signal, optical signal or above-mentioned any appropriate combination.Computer-readable signal media can also be computer
Any computer-readable medium other than readable storage medium storing program for executing, the computer-readable medium can send, propagate or transmit use
In by instruction execution system, device either device use or program in connection.Include on computer-readable medium
Program code can transmit with any suitable medium, including but not limited to:Wirelessly, electric wire, optical cable, RF etc., Huo Zheshang
Any appropriate combination stated.
Flow chart in attached drawing and block diagram, it is illustrated that according to the system of the various embodiments of the application, method and computer journey
The architecture, function and operation in the cards of sequence product.In this regard, each box in flowchart or block diagram can generation
A part for a part for one module, program segment, or code of table, the module, program segment, or code includes one or more uses
The executable instruction of the logic function as defined in realization.It should also be noted that in some implementations as replacements, being marked in box
The function of note can also occur in a different order than that indicated in the drawings.For example, two boxes succeedingly indicated are actually
It can be basically executed in parallel, they can also be executed in the opposite order sometimes, this is depended on the functions involved.Also it to note
Meaning, the combination of each box in block diagram and or flow chart and the box in block diagram and or flow chart can be with holding
The dedicated hardware based system of functions or operations as defined in row is realized, or can use specialized hardware and computer instruction
Combination realize.
Being described in unit involved in the embodiment of the present application can be realized by way of software, can also be by hard
The mode of part is realized.Described unit can also be arranged in the processor, for example, can be described as:A kind of processor packet
Include receiving unit, determination unit and the first transmission unit.Wherein, the title of these units is not constituted to this under certain conditions
The restriction of unit itself, for example, receiving unit is also described as " receiving the unit of the enabled instruction to goal task ".
As on the other hand, present invention also provides a kind of computer-readable medium, which can be
Included in device described in above-described embodiment;Can also be individualism, and without be incorporated the device in.Above-mentioned calculating
Machine readable medium carries one or more program, when said one or multiple programs are executed by the device so that should
Device:The enabled instruction to goal task is received, which includes server identification;It determines in multiple execute server
The quantity of task that is currently assigned to of each execute server and the maximum supported of preset, each execute server it is parallel
Execution task quantity;In response to determining that the server identification is current not for the execute server indicated by the empty and server identification
Execute parallel not less than the maximum that the execute server indicated by the server identification is supported of the quantity of being assigned to for task is appointed
Business quantity, the task quantity being currently assigned to based on each execute server and identified each maximum executing tasks parallelly
Quantity determines the target execute server in multiple execute server, and the goal task is sent to the target and executes clothes
Business device.
Above description is only the preferred embodiment of the application and the explanation to institute's application technology principle.People in the art
Member should be appreciated that invention scope involved in the application, however it is not limited to technology made of the specific combination of above-mentioned technical characteristic
Scheme, while should also cover in the case where not departing from foregoing invention design, it is carried out by above-mentioned technical characteristic or its equivalent feature
Other technical solutions of arbitrary combination and formation.Such as features described above has similar work(with (but not limited to) disclosed herein
Can technical characteristic replaced mutually and the technical solution that is formed.
Claims (14)
1. a kind of load-balancing method for load-balanced server, which is characterized in that the load-balanced server with it is more
A execute server communication connection, the method includes:
Receive enabled instruction to goal task, the enabled instruction include be used to indicate it is in the multiple execute server,
Execute the server identification of the execute server of the goal task;
Determine the task that each execute server in the multiple execute server is currently assigned to quantity and it is preset,
The maximum executing tasks parallelly quantity that each execute server is supported;
Do not divided currently for the execute server indicated by the empty and described server identification in response to the determination server identification
The quantity of being fitted on for task is not less than the maximum executing tasks parallelly that the execute server indicated by the server identification is supported
Quantity is held parallel based on the task quantity and identified each maximum that identified each execute server is currently assigned to
Row task quantity determines the target execute server in the multiple execute server, and the goal task is sent to institute
State target execute server.
2. load-balancing method according to claim 1, which is characterized in that the method further includes:
It is sky in response to the determination server identification, by task in the multiple execute server, being currently assigned to
The execute server of quantity minimum be determined as target execute server, and the goal task is sent to the target and is executed
Server.
3. load-balancing method according to claim 1, which is characterized in that the method further includes:
The quantity of being currently assigned in response to the execute server indicated by the determination server identification for task is less than institute
The maximum executing tasks parallelly quantity that the execute server indicated by server identification is supported is stated, by server identification meaning
The execute server shown is determined as target execute server, and the goal task is sent to the target execute server.
4. load-balancing method according to claim 1, which is characterized in that described to be based on each execute server currently quilt
The task quantity and identified each maximum executing tasks parallelly quantity being assigned to, determine in the multiple execute server
Target execute server, including:
For each execute server in the multiple execute server, determine what the execute server was currently assigned to
The ratio of the quantity of task and the maximum executing tasks parallelly quantity of the execute server;
Execute server with minimum ratio is determined as target execute server.
5. according to the load-balancing method described in one of claim 1-4, which is characterized in that send out the goal task described
It send to the target execute server, the method further includes:
The quantity for the task that the target execute server is currently assigned to is increased into default value and is stored.
6. load-balancing method according to claim 5, which is characterized in that the goal task is sent to institute described
After stating target execute server, the method further includes:
In response to receiving execution that the target execute server is sent, being used to indicate the goal task executed completion
Message is completed, the quantity for the task that the target execute server is currently assigned to is subtracted into the default value and is deposited
Storage.
7. a kind of load balancing apparatus for load-balanced server, which is characterized in that the load-balanced server with it is more
A execute server communication connection, described device include:
Receiving unit is configured to receive the enabled instruction to goal task, and the enabled instruction is described more including being used to indicate
The server identification of execute server in a execute server, executing the goal task;
Determination unit is configured to determine times that each execute server in the multiple execute server is currently assigned to
The maximum executing tasks parallelly quantity that the quantity of business and preset, each execute server are supported;
First transmission unit is configured to not be indicated by the empty and described server identification in response to the determination server identification
The quantity of task that is currently assigned to of execute server not less than the execute server branch indicated by the server identification
The maximum executing tasks parallelly quantity held, the task quantity being currently assigned to based on identified each execute server and institute
Determining each maximum executing tasks parallelly quantity, determines the target execute server in the multiple execute server, and will
The goal task is sent to the target execute server.
8. load balancing apparatus according to claim 7, which is characterized in that described device further includes:
Second transmission unit is configured in response to the determination server identification be sky, will be in the multiple execute server
, the execute server of the quantity minimum of being currently assigned to for task be determined as target execute server, and by the target
Task is sent to the target execute server.
9. load balancing apparatus according to claim 7, which is characterized in that described device further includes:
Third transmission unit is configured to currently be assigned in response to the execute server indicated by the determination server identification
The quantity of arriving for task is less than the maximum executing tasks parallelly quantity that the execute server indicated by the server identification is supported,
Execute server indicated by the server identification is determined as target execute server, and the goal task is sent to
The target execute server.
10. load balancing apparatus according to claim 7, which is characterized in that first transmission unit further configures
For:
For each execute server in the multiple execute server, determine what the execute server was currently assigned to
The ratio of the quantity of task and the maximum executing tasks parallelly quantity of the execute server;By the execution service with minimum ratio
Device is determined as target execute server.
11. according to the load balancing apparatus described in one of claim 7-10, which is characterized in that described device further includes:
First storage unit, the quantity increase for being configured to currently being assigned to the target execute server of the task are default
Numerical value is simultaneously stored.
12. load balancing apparatus according to claim 11, which is characterized in that described device further includes:
Second storage unit, be configured in response to receive it is that the target execute server is sent, be used to indicate the mesh
Message is completed in the execution that mark task executed is completed, and the quantity for the task that the target execute server is currently assigned to is subtracted
The default value is simultaneously stored.
13. a kind of load-balanced server, including:
One or more processors;
Storage device, for storing one or more programs,
When one or more of programs are executed by one or more of processors so that one or more of processors are real
The now method as described in any in claim 1-6.
14. a kind of computer readable storage medium, is stored thereon with computer program, which is characterized in that the program is by processor
The method as described in any in claim 1-6 is realized when execution.
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