CN110413380A - The dispatching method of container cluster - Google Patents
The dispatching method of container cluster Download PDFInfo
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- CN110413380A CN110413380A CN201910711126.2A CN201910711126A CN110413380A CN 110413380 A CN110413380 A CN 110413380A CN 201910711126 A CN201910711126 A CN 201910711126A CN 110413380 A CN110413380 A CN 110413380A
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- G—PHYSICS
- G06—COMPUTING; CALCULATING OR COUNTING
- G06F—ELECTRIC DIGITAL DATA PROCESSING
- G06F9/00—Arrangements for program control, e.g. control units
- G06F9/06—Arrangements for program control, e.g. control units using stored programs, i.e. using an internal store of processing equipment to receive or retain programs
- G06F9/44—Arrangements for executing specific programs
- G06F9/455—Emulation; Interpretation; Software simulation, e.g. virtualisation or emulation of application or operating system execution engines
- G06F9/45533—Hypervisors; Virtual machine monitors
- G06F9/45558—Hypervisor-specific management and integration aspects
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- G—PHYSICS
- G06—COMPUTING; CALCULATING OR COUNTING
- G06F—ELECTRIC DIGITAL DATA PROCESSING
- G06F9/00—Arrangements for program control, e.g. control units
- G06F9/06—Arrangements for program control, e.g. control units using stored programs, i.e. using an internal store of processing equipment to receive or retain programs
- G06F9/44—Arrangements for executing specific programs
- G06F9/455—Emulation; Interpretation; Software simulation, e.g. virtualisation or emulation of application or operating system execution engines
- G06F9/45533—Hypervisors; Virtual machine monitors
- G06F9/45558—Hypervisor-specific management and integration aspects
- G06F2009/4557—Distribution of virtual machine instances; Migration and load balancing
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Abstract
The invention discloses a kind of dispatching methods of container cluster, it include: in preset time interval, obtain the information and load data of all terminals in container cluster, wherein, the information of the terminal is terminal iidentification, and the load data includes the transmission rate that cpu busy percentage, memory usage and the container of the terminal occupy；According to the integrated load rate of the terminal iidentification and the load data computing terminal；When the integrated load rate of the terminal is more than 50%, container cluster is scheduled.The dispatching method of the container cluster provided through the invention meets the needs of application program, improves the operational efficiency of application when the operation of application program concentration or the user volume increase of application program in Docker container may be implemented.
Description
Technical field
The present invention relates to container techniques, especially with regard to a kind of dispatching method of container cluster.
Background technique
Docker container is the application container engine of an open source, and developer can be packaged their application and rely on
It wraps into a transplantable container, is then published on the Linux machine of any prevalence, also may be implemented to virtualize.Container
Kernel resources can be directly utilized, Hypervisor layers of conventional virtual machine of resource consumption is greatly saved, what this part was saved
Resource can be used for creating more containers, while container can start service the second grade, and container granularity is smaller.One terminal device
In can run multiple Docker containers, each Docker container can be (such as cpu resource, interior with the resource in common terminal equipment
Deposit resource and hard disk resources), so the number of containers that can be created is also more so that container using more flexible.
With the increase of type of business and quantity, in order to enable each application program in Docker container can be transported normally
Row, according to the application program in Docker container to the average demand of resource, is Docker container when creating Docker container
Distribute fixed resource.Application program in Docker container is run according to the resource of distribution.
Based on this, the inventors of the present application found that in actual application, the application program collection in Docker container
When middle operation or the user volume increase of application program, the division methods of container resource can not be expired in the prior art
The demand of sufficient application program keeps the operational efficiency of application low.
The information disclosed in the background technology section is intended only to increase the understanding to general background of the invention, without answering
When being considered as recognizing or imply that the information constitutes the prior art already known to those of ordinary skill in the art in any form.
Summary of the invention
The purpose of the present invention is to provide a kind of dispatching methods of container cluster, can satisfy the demand of application program,
Improve the operational efficiency of application.
To achieve the above object, the present invention provides a kind of dispatching methods of container cluster, comprising: between the preset time
Every the information and load data of all terminals in acquisition container cluster, wherein the information of the terminal is terminal iidentification, institute
State cpu busy percentage, memory usage that load data includes the terminal and the transmission rate that container occupies；According to the end
The integrated load rate V of end mark and the load data computing terminal；When the integrated load rate V of the terminal is more than 50%
When, container cluster is scheduled.
In a preferred embodiment, the mark and load data computing terminal according to the terminal device
Integrated load rate V includes: the integrated load rate V that terminal corresponding with the terminal iidentification is calculated according to formula one, the formula
One includes:
Wherein,VCPUi=[0,100], VCPUiIt indicates
In preset time interval, the CPU time of container i and the percentage of systematic thinking way CPU time Zhan total CPU time；VMEMi=[0,
100], VMEMiIt indicates in preset time interval, the size of memory-resident shared by container i accounts for the total physical memory of system
Percentage；VNETi=[0,100], VNETi indicate that in preset time interval, container i transmitted bit rate accounts for system velocity
Percentage, ω1For CPU weight, ω2For memory weight, ω3Transmitted bit rate weight,For CPU weight, memory weight with
And the average value of transmitted bit rate weight.
In a preferred embodiment, described when the integrated load rate of terminal is more than 50%, container cluster is carried out
Scheduling includes: when the integrated load rate of terminal is between 50%-80%, according to container to the utilization rate of resource, the appearance of terminal
Device quantity and resource type summation calculate the load imbalance degree of sets of containers group；The smallest container of load imbalance degree is selected to make
It is scheduled for alternative container.
In a preferred embodiment, it is described according to container to the utilization rate of resource, the number of containers of terminal and money
Source Type summation calculate sets of containers group load imbalance degree include: according in two computing terminal equipment of formula container cluster it is negative
Unbalanced degree is carried, the formula two includes:
Wherein, N is the number of containers of terminal, and m is resource type summation,The container i of utilization for to(for) m resource type
Rate,For the average utilization of resource m.
In a preferred embodiment, described when the integrated load rate of terminal is more than 50%, container cluster is carried out
Scheduling includes: described when the integrated load rate of terminal is more than 80%, calculates one passed through by starting point to container y using container x
The total distance Dj (x, y) of paths, wherein x, y are the different vessels being arranged in one or more terminals in a neighborhood；It obtains
The Dj (x, y) in all paths between extracting container x to container y, composition distance set [D1, D2 ... DL]；In distance set
The smallest path is selected, alternately container is scheduled by the corresponding container y in the path.
In a preferred embodiment, when the mulitpath in distance set is identical, container x is calculated according to formula three
Degree of dependence ω in a neighborhoodj, the formula three includes:
Wherein, λ indicates that dependent learning coefficient, Dj (y, x) are the paths that are passed through with container y by starting point to container x
Total distance；Select degree of dependence ωjAlternately container is scheduled maximum container.
Compared with prior art, the dispatching method of container cluster according to the present invention, by obtaining in preset time interval
The load data of the information and terminal of all terminal devices in extracting container cluster, when the integrated load rate V of the terminal is more than
When 50%, container cluster is scheduled, it can be in the operation of the concentration of the application program in Docker container or the use of application program
When family amount increases, meets the needs of application program, improve the operational efficiency of application.
Detailed description of the invention
Fig. 1 is the flow chart of the dispatching method of container cluster according to an embodiment of the present invention.
Fig. 2 is the flow chart that the dispatching method of container cluster according to an embodiment of the present invention calculates.
Fig. 3 is the structural schematic diagram of container scheduling system according to an embodiment of the present invention.
Fig. 4 is the schematic diagram dispatched between container scheduling system and container cluster according to an embodiment of the present invention.
Specific embodiment
With reference to the accompanying drawing, specific embodiments of the present invention will be described in detail, it is to be understood that guarantor of the invention
Shield range is not limited by the specific implementation.
Unless otherwise explicitly stated, otherwise in entire disclosure and claims, term " includes " or its change
Changing such as "comprising" or " including " etc. will be understood to comprise stated element or component, and not exclude other members
Part or other component parts.
Currently, situations such as application program in Docker container concentrates the user volume of operation or application program to increase
Under, the resource in terminal is unable to satisfy the demand of application program, therefore how using there are the equipment of call relation by container tune
It spends in adjacent equipment, makes full use of the resource in system, while reducing striding equipment bring network consumption, it is whole to reduce system
The body response time is problem to be solved.
As shown in Figure 1, its be according to the flow chart of the dispatching method of the container cluster of the preferred embodiment for the present invention, including
Step S1-S3.As shown in Fig. 2, it is the process calculated according to the dispatching method of the container cluster of the preferred embodiment for the present invention
Figure.
In step sl, in preset time interval, the information and load data of all terminals in container cluster are obtained,
Wherein, the information of terminal is terminal iidentification, and load data includes that cpu busy percentage, memory usage and the container of terminal occupy
Transmission rate；
In step s 2, according to the terminal iidentification and the integrated load rate V of load data computing terminal；
The integrated load rate V of terminal corresponding with the terminal iidentification is calculated according to formula one, the formula one includes:
Wherein,VCPUi=[0,100], VCPUiIt indicates
In preset time interval, the CPU time of container i and the percentage of systematic thinking way CPU time Zhan total CPU time；VMEMi=[0,
100], VMEMiIt indicates in preset time interval, the size of memory-resident shared by container i accounts for the total physical memory of system
Percentage；VNETi=[0,100], VNETi indicate that in preset time interval, container i transmitted bit rate accounts for system velocity
Percentage, ω1For CPU weight, ω2For memory weight, ω3Transmitted bit rate weight,For CPU weight, memory weight with
And the average value of transmitted bit rate weight.
In step s3, when the integrated load rate V of the terminal is more than 50%, container cluster is scheduled.
As a result, by preset time interval, obtaining the information and terminal of all terminal devices in container cluster
Load data is scheduled container cluster when the integrated load rate V of the terminal is more than 50%, can be in Docker container
In application program concentrate operation or application program user volume increase when, meet the needs of application program, improve
The operational efficiency of application.
In one implementation, step S3 may include step S31-S32.
Utilization in step S31, when the integrated load rate of terminal is between 50%-80%, according to container to resource
Rate, the number of containers of terminal and resource type summation calculate the load imbalance degree of sets of containers group.
It is deployed in individual terminal, and is placed needed for all containers at the terminal specifically, setting more containers
Resource summation is no more than the total resources for including in the physical host, according to container cluster in two computing terminal equipment of formula
Load imbalance degree, the formula two include:
Wherein, N is the number of containers of terminal, and m is resource type summation,The container i of utilization for to(for) m resource type
Rate,For the average utilization of resource m.
In step s 32, alternately container is scheduled the selection the smallest container of load imbalance degree.
It should be noted that the scheduling in present embodiment can be the scheduling of different vessels in terminal, it is also possible to not
With the scheduling of terminal.When the integrated load rate of terminal is between 50%-80%, it is preferable to provide to be different vessels in terminal
Scheduling.Specifically, container is provided with mark and the corresponding relationship with terminal, it can be according to the mark and and terminal of container
Corresponding relationship, realize terminal in the scheduling of different vessels or the scheduling of terminal room different vessels.
In one implementation, step S3 can also include step S33-S35.
There are dependences between each equipment in system environments, when client initiates a request, in order to handle this
A request server-side will form a call chain, and the container service in call chain operates on respective physical host.In
When application program in Docker container concentrates operation or the user volume increase of application program, the resource in terminal
It is unable to satisfy the demand of application program, therefore in addition to guaranteeing load balancing in equipment, further utilizes setting there are call relation
It is standby to be dispatched to container in adjacent equipment, the resource in system is made full use of, while reducing striding equipment bring network consumption.
In step S33, when the integrated load rate of terminal is more than 80%, calculating is passed through using container x by starting point to container y
The total distance Dj (x, y) for the paths crossed, wherein x, y are the difference being arranged in one or more terminals in a neighborhood
Container.
Specifically, the task schedule between terminal is carried out, using apart from mould when the integrated load rate of terminal is more than 80%
The physical terminal host of type selection scheduling, indirect inode is few between short terminal, and it is few that information transmits hop count.Distance model
Are as follows:
In step S34, the Dj (x, y) in all paths between acquisition container x to container y, composition distance set [D1,
D2,...DL]。
In step s 35, the smallest path is selected in distance set, and the corresponding container y in the path is alternately held
Device is scheduled.
It in one implementation, further include step S36-S37 after step S34.
In step S36, if there are multiple identical path Dj (x, y) in distance set, i.e., when mulitpath distance one
When cause, degree of dependence ω of the container x in a neighborhood is calculated according to formula threej, the formula three includes:
Wherein, λ indicates dependent learning coefficient, and value can be accordingly adjusted according to the degree of dependence between container, more
Add the rule for meeting practical problem.Dj (y, x) is the total distance of the paths passed through with container y by starting point to container x；
In step S37, degree of dependence ω is selectedjAlternately container is scheduled maximum container, i.e. D (x, y) and D
(y, x) is all minimum.
It should be noted that the method that step S33-S37 is provided, is accomplished that the scheduling of container between different terminals.
Thus, it is possible to realize load balancing, container is dispatched in adjacent equipment using there are the equipment of call relation,
The resource in system is made full use of, while reducing striding equipment bring network consumption, reduces the system Whole Response time, promotes system
System performance.
As Figure 3-Figure 4, Fig. 3 is the structural schematic diagram that system is dispatched according to the container of the preferred embodiment for the present invention,
Fig. 4 is to dispatch the schematic diagram dispatched between system and container cluster according to the container of the preferred embodiment for the present invention.The present embodiment is also
A kind of container scheduling system is provided, for realizing the scheduling of container cluster in above-described embodiment.
It mainly includes scheduler module that container, which dispatches system,.Scheduler module mainly includes monitoring module, business module, distribution mould
Block.
Monitoring module, for obtaining the information of all terminal devices and end in container cluster in preset time interval
The load data at end.Information of the device end information table for physical terminal list all in record clustering, information use foot
This timed collection simultaneously updates, and can more intuitively check physical resource all in cluster in this way.Load information includes that CPU is used
Rate, memory usage, disk I/O, network I/O, these data pass through script timing acquisition.
The information of container of operations all in cluster is recorded in by business module according to the load data that monitoring module is collected
Container service information table, specific implementation use Container Management module call-by mechanism, and each service call all collects corresponding information, and
Timing is updated into tables of data.Information mainly includes container recalls information, call number, business App operating condition.
Distribution module operates cell therefor according to the result of monitoring module and business module, specifically includes root
According to the mark of the terminal device and the integrated load rate V of load data computing terminal；As the integrated load rate V of the terminal
When more than 50%, container cluster is scheduled.In addition, distribution module also needs to undertake the management of container mirror image and container start and stop
Work can guarantee that the time of scheduling process consumption is most short in this way.Wherein scheduling calculating is the core of distribution module, container scheduling
Algorithm needs to be arranged some parameters as target, including load factor, system load degree of unbalancedness, the frequency for loading timing supervision
Deng.When system load changes greatly, the frequency of monitoring is very fast, otherwise is adjusted to slower frequency.It is possible thereby to according to practical feelings
Condition is adjusted, and achievees the purpose that save computing resource.
It should be understood by those skilled in the art that, embodiments herein can provide as method, system or computer program
Product.Therefore, complete hardware embodiment, complete software embodiment or reality combining software and hardware aspects can be used in the application
Apply the form of example.Moreover, it wherein includes the computer of computer usable program code that the application, which can be used in one or more,
The computer program implemented in usable storage medium (including but not limited to magnetic disk storage, CD-ROM, optical memory etc.) produces
The form of product.
The application is referring to method, the process of equipment (system) and computer program product according to the embodiment of the present application
Figure and/or block diagram describe.It should be understood that every one stream in flowchart and/or the block diagram can be realized by computer program instructions
The combination of process and/or box in journey and/or box and flowchart and/or the block diagram.It can provide these computer programs
Instruct the processor of general purpose computer, special purpose computer, Embedded Processor or other programmable data processing devices to produce
A raw machine, so that being generated by the instruction that computer or the processor of other programmable data processing devices execute for real
The device for the function of being specified in present one or more flows of the flowchart and/or one or more blocks of the block diagram.
These computer program instructions, which may also be stored in, is able to guide computer or other programmable data processing devices with spy
Determine in the computer-readable memory that mode works, so that it includes referring to that instruction stored in the computer readable memory, which generates,
Enable the manufacture of device, the command device realize in one box of one or more flows of the flowchart and/or block diagram or
The function of being specified in multiple boxes.
These computer program instructions also can be loaded onto a computer or other programmable data processing device, so that counting
Series of operation steps are executed on calculation machine or other programmable devices to generate computer implemented processing, thus in computer or
The instruction executed on other programmable devices is provided for realizing in one or more flows of the flowchart and/or block diagram one
The step of function of being specified in a box or multiple boxes.
The aforementioned description to specific exemplary embodiment of the invention is in order to illustrate and illustration purpose.These descriptions
It is not wishing to limit the invention to disclosed precise forms, and it will be apparent that according to the above instruction, can much be changed
And variation.The purpose of selecting and describing the exemplary embodiment is that explaining specific principle of the invention and its actually answering
With so that those skilled in the art can be realized and utilize a variety of different exemplary implementation schemes of the invention and
Various chooses and changes.The scope of the present invention is intended to be limited by claims and its equivalents.
Claims (6)
1. a kind of dispatching method of container cluster characterized by comprising
In preset time interval, the information and load data of all terminals in container cluster are obtained, wherein the terminal
Information is terminal iidentification, and the load data includes the biography that cpu busy percentage, memory usage and the container of the terminal occupy
Defeated rate；
According to the terminal iidentification and the integrated load rate V of the load data computing terminal；
When the integrated load rate V of the terminal is more than 50%, container cluster is scheduled.
2. dispatching method as described in claim 1, which is characterized in that the mark and load according to the terminal device
The integrated load rate V of data computing terminal includes:
The integrated load rate V of terminal corresponding with the terminal iidentification is calculated according to formula one, the formula one includes:
Wherein,VCPUi=[0,100], VCPUiIt indicates default
Time interval in, the percentage of CPU time of container i and systematic thinking way CPU time Zhan total CPU time；VMEMi=[0,100],
VMEMiIt indicates in preset time interval, the size of memory-resident shared by container i accounts for the percentage of the total physical memory of system
Than；VNETi=[0,100], VNETi indicate that in preset time interval, container i transmitted bit rate accounts for the hundred of system velocity
Divide ratio, ω1For CPU weight, ω2For memory weight, ω3Transmitted bit rate weight,For CPU weight, memory weight and biography
The average value of defeated bit rate weight.
3. dispatching method as described in claim 1, which is characterized in that it is described when the integrated load rate of terminal is more than 50%,
Container cluster is scheduled and includes:
When the integrated load rate of terminal is between 50%-80%, according to container to the utilization rate of resource, the number of containers of terminal
And resource type summation calculates the load imbalance degree of sets of containers group；
Alternately container is scheduled the selection the smallest container of load imbalance degree.
4. dispatching method as claimed in claim 3, which is characterized in that it is described according to container to the utilization rate of resource, terminal
The load imbalance degree that number of containers and resource type summation calculate sets of containers group includes:
According to the load imbalance degree of container cluster in two computing terminal equipment of formula, the formula two includes:
Wherein, N is the number of containers of terminal, and m is resource type summation,It is container i for the utilization rate of m resource type,For the average utilization of resource m.
5. dispatching method as described in claim 1, it is characterised in that it is described when the integrated load rate of terminal is more than 50%, it is right
Container cluster, which is scheduled, includes:
The paths that when the integrated load rate of terminal is more than 80%, calculating is passed through using container x by starting point to container y
Total distance Dj (x, y), wherein x, y are the different vessels being arranged in one or more terminals in neighborhood；
The Dj (x, y) in all paths between acquisition container x to container y, composition distance set [D1, D2 ... DL]；
The smallest path is selected in distance set, alternately container is scheduled by the corresponding container y in the path.
6. dispatching method as claimed in claim 5, which is characterized in that when the mulitpath in distance set is identical, according to
Formula three calculates degree of dependence ω of the container x in a neighborhoodj, the formula three includes:
Wherein, λ indicates dependent learning coefficient, and Dj (y, x) is total for the paths that are passed through with container y by starting point to container x
Distance；
Select degree of dependence ωjAlternately container is scheduled maximum container.
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Application publication date: 20191105 |