CN107071002A - A kind of application server cluster request scheduling method and device - Google Patents
A kind of application server cluster request scheduling method and device Download PDFInfo
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- CN107071002A CN107071002A CN201710174673.2A CN201710174673A CN107071002A CN 107071002 A CN107071002 A CN 107071002A CN 201710174673 A CN201710174673 A CN 201710174673A CN 107071002 A CN107071002 A CN 107071002A
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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
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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
- H04L67/1008—Server selection for load balancing based on parameters of servers, e.g. available memory or workload
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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
- H04L67/50—Network services
- H04L67/60—Scheduling or organising the servicing of application requests, e.g. requests for application data transmissions using the analysis and optimisation of the required network resources
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Abstract
The invention discloses a kind of application server cluster request scheduling method and device, including：Collect the configuration parameter of each node in application server cluster；The configuration parameter includes CPU usage parameter, memory usage parameter and network usage parameter；The distribution weight of each node is determined using the configuration parameter of each node, and generates scheduling strategy；Receive after node visit request, distributed node visit request to corresponding node according to the scheduling strategy；It can be seen that, in this programme, scheduling strategy can be generated by the CPU usage parameter, memory usage parameter and network usage parameter of each node, according to the scheduling strategy distribution node access request, improve the stability of the clustering functionality under the conditions of extensive and complex topology, the compatibility and ease for use of domestic middleware application server are extended, the efficiency of application server cluster scheduling is improved.
Description
Technical field
The present invention relates to application server technical field, ask to adjust more specifically to a kind of application server cluster
Spend method and device.
Background technology
As domestic middleware application server product application constantly expands, domestic middleware application server is used
Scene scale and topology complexity continue to increase.Under the conditions of application server cluster, functionally and stability
On propose higher requirement.In order to take into account high availability and high reliability, in many hardware servers for heavy load
Jing Shi, middleware application server carries out the deployment and issue of application system generally by way of software cluster.Should by many
With server interconnection one group system of composition, the incomparable high-performance of separate unit application server can be played.In application service
In device group system, the management to each node includes monitoring and control is particularly important, because effective management can show
Write and improve cluster system resource utilization rate and availability.Current existing main flow domestic and international application server, be mostly
Count balanced device and connect number to each real server, and according to the distribution of connection quantity change task.This application service
Device colony dispatching algorithm does not account for the use change in cluster running interior joint, can not only reflect very well by connection number
Node load.
Therefore, how according to the loading condition of each node, the scheduling of application server cluster request is preferably realized,
It is the problem of those skilled in the art need solution.
The content of the invention
It is an object of the invention to provide a kind of application server cluster request scheduling method and device, to realize according to every
The loading condition of individual node, preferably realizes the scheduling of application server cluster request.
To achieve the above object, the embodiments of the invention provide following technical scheme：
A kind of application server cluster request scheduling method, including：
Collect the configuration parameter of each node in application server cluster；The configuration parameter include CPU usage parameter,
Memory usage parameter and network usage parameter；
The distribution weight of each node is determined using the configuration parameter of each node, and generates scheduling strategy；
Receive after node visit request, distributed node visit request to corresponding node according to the scheduling strategy.
Wherein, the configuration parameter using each node determines the distribution weight of each node, and generates scheduling strategy,
Including：
Configuration parameter is exceeded to the node for corresponding to parameter threshold as pause and uses node, the pause is divided using node
It is zero with weight；
The scheduling strategy then generated is：Stop asking using node distribution node visit to the pause.
Wherein, the configuration parameter using each node determines the distribution weight of each node, and generates scheduling strategy,
Including：
Obtain CPU weight coefficient, internal memory weight coefficient and network weight coefficient；
According to the CPU usage parameter, memory usage parameter and network usage parameter of each node, and it is described
CPU weight coefficient, internal memory weight coefficient and network weight coefficient, it is determined that the distribution weight corresponding with each node；
Scheduling strategy is generated according to the distribution weight of each node.
Wherein, the configuration parameter for collecting each node in application server cluster, including：
Using scheduled duration as interval, the configuration parameter of each node in application server cluster is collected.
Wherein, it is described to collect in application server cluster after the configuration parameter of each node, in addition to：
Collect the actual connection number of each node in application server cluster；
It is then described to determine the distribution weight of each node using the configuration parameter of each node, and scheduling strategy is generated, wrap
Include：
The distribution weight of each node is determined using the configuration parameter and actual connection number of each node, and generates scheduling plan
Slightly.
A kind of application server cluster asks dispatching device, including：
First collection module, the configuration parameter for collecting each node in application server cluster；The configuration parameter
Including CPU usage parameter, memory usage parameter and network usage parameter；
Scheduling strategy generation module, the distribution weight of each node is determined for the configuration parameter using each node, and
Generate scheduling strategy；
Distribute module is asked, for receiving after node visit request, is asked node visit according to the scheduling strategy
Distribute to corresponding node.
Wherein, the scheduling strategy generation module includes：
First distribution weight determining unit, the node for configuration parameter to be exceeded to correspondence parameter threshold is used as pause
Node, the pause is zero using the distribution weight of node；
First scheduling strategy generation unit, stops suspending what is asked using node distribution node visit to described for generating
Scheduling strategy.
Wherein, the scheduling strategy generation module includes：
Acquiring unit, for obtaining CPU weight coefficient, internal memory weight coefficient and network weight coefficient；
Second distribution weight determining unit, for the CPU usage parameter according to each node, memory usage parameter and
Network usage parameter, and the CPU weight coefficient, internal memory weight coefficient and network weight coefficient, it is determined that with each node
Corresponding distribution weight；
Second scheduling strategy generation unit, for generating scheduling strategy according to the distribution weight of each node.
Wherein, first collection module collects each node in application server cluster using scheduled duration as interval
Configuration parameter.
Wherein, in addition to：
Second collection module, the actual connection number for collecting each node in application server cluster；
Then the scheduling strategy generation module is used for, and is determined using the configuration parameter and actual connection number of each node each
The distribution weight of node, and generate scheduling strategy.
By above scheme, a kind of application server cluster request scheduling method and dress provided in an embodiment of the present invention
Put, including：Collect the configuration parameter of each node in application server cluster；The configuration parameter include CPU usage parameter,
Memory usage parameter and network usage parameter；The distribution weight of each node is determined using the configuration parameter of each node,
And generate scheduling strategy；Receive after node visit request, distributed node visit request to correspondence according to the scheduling strategy
Node；
It can be seen that, in this programme, it can be made by the CPU usage parameter, memory usage parameter and network of each node
Scheduling strategy is generated with rate parameter, according to the scheduling strategy distribution node access request, is improved in extensive and complex topology bar
The stability of clustering functionality under part, extends the compatibility and ease for use of domestic middleware application server, improves using clothes
The efficiency of business device colony dispatching.
Brief description of the drawings
In order to illustrate more clearly about the embodiment of the present invention or technical scheme of the prior art, below will be to embodiment or existing
There is the accompanying drawing used required in technology description to be briefly described, it should be apparent that, drawings in the following description are only this
Some embodiments of invention, for those of ordinary skill in the art, on the premise of not paying creative work, can be with
Other accompanying drawings are obtained according to these accompanying drawings.
Fig. 1 is a kind of application server cluster request scheduling method schematic flow sheet disclosed in the embodiment of the present invention；
Fig. 2 is application server cluster scheduling flow schematic diagram disclosed in the embodiment of the present invention；
Fig. 3 is a kind of specific colony dispatching process schematic disclosed in the embodiment of the present invention；
Fig. 4 is a kind of application server cluster request dispatching device structural representation disclosed in the embodiment of the present invention
Embodiment
Below in conjunction with the accompanying drawing in the embodiment of the present invention, the technical scheme in the embodiment of the present invention is carried out clear, complete
Site preparation is described, it is clear that described embodiment is only a part of embodiment of the invention, rather than whole embodiments.It is based on
Embodiment in the present invention, it is every other that those of ordinary skill in the art are obtained under the premise of creative work is not made
Embodiment, belongs to the scope of protection of the invention.
The embodiment of the invention discloses a kind of application server cluster request scheduling method and device, to realize according to each
The loading condition of node, preferably realizes the scheduling of application server cluster request.
Referring to Fig. 1, a kind of application server cluster request scheduling method provided in an embodiment of the present invention, including：
S101, the configuration parameter for collecting each node in application server cluster；The configuration parameter includes CPU usage
Parameter, memory usage parameter and network usage parameter；
Specifically, referring to Fig. 2 and Fig. 3, the application server cluster scheduling flow provided for the present embodiment is wrapped in the cluster
Node 1, node 2 and node 3 are included, after the node visit request that client's access is sent is received, it is necessary first to collect each save
The configuration parameter of point, the configuration parameter can reflect the loading condition of each node, and the configuration parameter can be CPU usage
Parameter, memory usage parameter and network usage parameter, certainly, are not limited to above-mentioned parameter in the present embodiment, as long as
The parameter of the loading condition of egress can be reacted, is described in the present embodiment by taking above-mentioned parameter as an example.Obtaining CPU
During the key parameters such as occupancy, memory usage and network bandwidth occupancy, it can be read from the file under/proc, and number
According to collection with calculate realized using shell scripts.
Wherein, the configuration parameter for collecting each node in application server cluster, including：
Using scheduled duration as interval, the configuration parameter of each node in application server cluster is collected.
It should be noted that in the present embodiment, can be with each node of real-time collecting when collecting the configuration parameter of each node
Configuration parameter, can also collect configuration parameter, for example by interval of scheduled duration：It was collected with 5 minutes for interval.
S102, the distribution weight for determining using the configuration parameter of each node each node, and generate scheduling strategy；
Specifically, because the configuration parameter of each node of collection can intuitively reflect the loading condition of egress, therefore,
In the present embodiment, distribution weight corresponding with each node can be determined by the loading condition of each node, distributes weight
The quantity asked to the node visit of distribution is directly proportional, so as to generate scheduling strategy according to the distribution weight of each node.
S103, receive after node visit request, according to the scheduling strategy by node visit request distribution to corresponding
Node.
Specifically, in the present embodiment, being determined according to the distribution weight of each node after scheduling strategy, receiving node
After access request, access request can be distributed to corresponding node according to the scheduling strategy, preferably realize application server
The scheduling of cluster request；This programme does not change the original operating mechanism of ssl protocol, will not bring extra safety problem, and
And using the cipher suite for supporting that the cipher suite of domestic cryptographic algorithm is used as ssl handshake protocol, be to Net silver application
The safety of the independence of system, product safety or even whole system all uses significance.
Based on above-described embodiment, the configuration parameter using each node determines the distribution weight of each node, and raw
Into scheduling strategy, including：
Configuration parameter is exceeded to the node for corresponding to parameter threshold as pause and uses node, the pause is divided using node
It is zero with weight；
The scheduling strategy then generated is：Stop asking using node distribution node visit to the pause.
Specifically, in the present embodiment, if the configuration parameter of a certain node exceeds corresponding parameter threshold, judging the section
The load of point is higher, stops to the node distribution access request.The parameter threshold can be directed to all parameters, can also be per seed ginseng
Number one parameter threshold of setting.
For example：If there is node 1, node 2 and node 3, the CPU usage parameter of node 1 is 70%, memory usage ginseng
Number is 60%, and network usage parameter is 80%, and the CPU usage parameter of node 2 is 70%, and memory usage parameter is
85%, network usage parameter is 75%, and the CPU usage parameter of node 3 is 87%, and memory usage parameter is 80%, net
Network utilization rate parameter is 75%；
If the parameter threshold in the present embodiment for all parameters is 85%, in the above example, the only CPU of node
Utilization rate parameter is more than 85%, then predicate node 3 is that pause uses node；If setting CPU usage threshold value as 85%, internal memory makes
It is 86% with rate threshold value, network usage threshold value is 82%, then according to the threshold value of each parameter parameter corresponding with each node
Value is compared.Through comparing, the CPU usage for obtaining egress 3 is more than corresponding CPU usage threshold value, then predicate node 3 is temporary
Stop using node.
Based on above-described embodiment, the configuration parameter using each node determines the distribution weight of each node, and raw
Into scheduling strategy, including：
Obtain CPU weight coefficient, internal memory weight coefficient and network weight coefficient；
According to the CPU usage parameter, memory usage parameter and network usage parameter of each node, and it is described
CPU weight coefficient, internal memory weight coefficient and network weight coefficient, it is determined that the distribution weight corresponding with each node；Wherein, often
The distribution weight of individual node and configuration parameter are into negative correlation；
Scheduling strategy is generated according to the distribution weight of each node.
Specifically, in the present embodiment, the significance level of each configuration parameter is different, for example, the weight of internal memory
Degree is wanted to compare for other specification, it is more relatively important, then the weight coefficient of different parameters can be set respectively, so that it is determined that
Go out the distribution weight of each node.
For example：Assuming that the CPU usage parameter of node 1 is 70%, memory usage parameter is 60%, network usage ginseng
Number is 80%, and the CPU usage parameter of node 2 is 70%, and memory usage parameter is 85%, and network usage parameter is
75%, the CPU usage parameter of node 3 is 87%, and memory usage parameter is 80%, and network usage parameter is 75%；And,
CPU usage weight coefficient is 0.3, and memory usage weight coefficient is 0.4, and network usage weight coefficient is 0.3, then passes through
It can be calculated, the synthesis utilization rate of node 1 is：69%, the synthesis utilization rate of node 2 is：77.5%, the synthesis of node 3 is used
Rate is：80.6%, drawn by normalization, the distribution weight of node 1 is 0.31, the distribution weight of node 2 is 0.34, node 3
Distribution weight be 0.35, that is to say, that the scheduling strategy of generation is the access request that node 1 distributes 31%, and node 2 distributes
34% access request, the access request of the distribution of node 3 35%；If the quantity of the node visit request received is not very
It is many, at this moment can be preferential to the larger node distribution of weight according to scheduling strategy.
Based on above-described embodiment, in the collection application server cluster after the configuration parameter of each node, in addition to：
Collect the actual connection number of each node in application server cluster；
It is then described to determine the distribution weight of each node using the configuration parameter of each node, and scheduling strategy is generated, wrap
Include：The distribution weight of each node is determined using the configuration parameter and actual connection number of each node, and generates scheduling strategy.
Specifically, in the present embodiment, while collecting the configuration parameter of each node, each node can also be collected and worked as
Preceding actual connection number, according to the actual connection number as reference, generation scheduling plan is integrated with reference to the configuration parameter of each node
Slightly.
Below to it is provided in an embodiment of the present invention request dispatching device be introduced, it is described below request dispatching device with
Above-described request scheduling method can be with cross-referenced.
Referring to Fig. 4, a kind of application server cluster request dispatching device provided in an embodiment of the present invention, including：
First collection module 100, the configuration parameter for collecting each node in application server cluster；The configuration ginseng
Number includes CPU usage parameter, memory usage parameter and network usage parameter；
Scheduling strategy generation module 200, the distribution weight of each node is determined for the configuration parameter using each node,
And generate scheduling strategy；
Distribute module 300 is asked, please by node visit according to the scheduling strategy for receiving after node visit request
Distribution is asked to corresponding node.
Based on above-described embodiment, the scheduling strategy generation module includes：
First distribution weight determining unit, the node for configuration parameter to be exceeded to correspondence parameter threshold is used as pause
Node, the pause is zero using the distribution weight of node；
First scheduling strategy generation unit, stops suspending what is asked using node distribution node visit to described for generating
Scheduling strategy.
Based on above-described embodiment, the scheduling strategy generation module includes：
Acquiring unit, for obtaining CPU weight coefficient, internal memory weight coefficient and network weight coefficient；
Second distribution weight determining unit, for the CPU usage parameter according to each node, memory usage parameter and
Network usage parameter, and the CPU weight coefficient, internal memory weight coefficient and network weight coefficient, it is determined that with each node
Corresponding distribution weight；Wherein, the distribution weight of each node and configuration parameter are into negative correlation；
Second scheduling strategy generation unit, for generating scheduling strategy according to the distribution weight of each node.
Based on above-described embodiment, first collection module is collected in application server cluster using scheduled duration as interval
The configuration parameter of each node.
Based on above-described embodiment, in addition to：
Second collection module, the actual connection number for collecting each node in application server cluster；
Then the scheduling strategy generation module is used for, and is determined using the configuration parameter and actual connection number of each node each
The distribution weight of node, and generate scheduling strategy.
The embodiment of each in this specification is described by the way of progressive, and what each embodiment was stressed is and other
Between the difference of embodiment, each embodiment identical similar portion mutually referring to.
The foregoing description of the disclosed embodiments, enables professional and technical personnel in the field to realize or using the present invention.
A variety of modifications to these embodiments will be apparent for those skilled in the art, as defined herein
General Principle can be realized in other embodiments without departing from the spirit or scope of the present invention.Therefore, it is of the invention
The embodiments shown herein is not intended to be limited to, and is to fit to and principles disclosed herein and features of novelty phase one
The most wide scope caused.
Claims (10)
1. a kind of application server cluster request scheduling method, it is characterised in that including：
Collect the configuration parameter of each node in application server cluster；The configuration parameter includes CPU usage parameter, internal memory
Utilization rate parameter and network usage parameter；
The distribution weight of each node is determined using the configuration parameter of each node, and generates scheduling strategy；
Receive after node visit request, distributed node visit request to corresponding node according to the scheduling strategy.
2. application server cluster request scheduling method according to claim 1, it is characterised in that described to utilize each section
The configuration parameter of point determines the distribution weight of each node, and generates scheduling strategy, including：
Configuration parameter is exceeded to the node for corresponding to parameter threshold as pause and uses node, the pause is weighed using the distribution of node
Weight is zero；
The scheduling strategy then generated is：Stop asking using node distribution node visit to the pause.
3. application server cluster request scheduling method according to claim 1, it is characterised in that described to utilize each section
The configuration parameter of point determines the distribution weight of each node, and generates scheduling strategy, including：
Obtain CPU weight coefficient, internal memory weight coefficient and network weight coefficient；
Weighed according to the CPU usage parameter, memory usage parameter and network usage parameter of each node, and the CPU
Weight coefficient, internal memory weight coefficient and network weight coefficient, it is determined that the distribution weight corresponding with each node；
Scheduling strategy is generated according to the distribution weight of each node.
4. the application server cluster request scheduling method according to any one in claim 1-3, it is characterised in that institute
The configuration parameter for collecting each node in application server cluster is stated, including：
Using scheduled duration as interval, the configuration parameter of each node in application server cluster is collected.
5. the application server cluster request scheduling method according to any one in claim 1-3, it is characterised in that institute
State and collect in application server cluster after the configuration parameter of each node, in addition to：
Collect the actual connection number of each node in application server cluster；
It is then described to determine the distribution weight of each node using the configuration parameter of each node, and scheduling strategy is generated, including：
The distribution weight of each node is determined using the configuration parameter and actual connection number of each node, and generates scheduling strategy.
6. a kind of application server cluster asks dispatching device, it is characterised in that including：
First collection module, the configuration parameter for collecting each node in application server cluster；The configuration parameter includes
CPU usage parameter, memory usage parameter and network usage parameter；
Scheduling strategy generation module, the distribution weight of each node is determined for the configuration parameter using each node, and is generated
Scheduling strategy；
Distribute module is asked, for receiving after node visit request, is asked node visit according to the scheduling strategy to distribute
To corresponding node.
7. application server cluster according to claim 6 asks dispatching device, it is characterised in that the scheduling strategy life
Include into module：
First distributes weight determining unit, is saved for configuration parameter to be used beyond the node of correspondence parameter threshold as pause
Point, the pause is zero using the distribution weight of node；
First scheduling strategy generation unit, stops suspending the scheduling asked using node distribution node visit to described for generating
Strategy.
8. application server cluster according to claim 6 asks dispatching device, it is characterised in that the scheduling strategy life
Include into module：
Acquiring unit, for obtaining CPU weight coefficient, internal memory weight coefficient and network weight coefficient；
Second distribution weight determining unit, for the CPU usage parameter according to each node, memory usage parameter and network
Utilization rate parameter, and the CPU weight coefficient, internal memory weight coefficient and network weight coefficient, it is determined that relative with each node
The distribution weight answered；
Second scheduling strategy generation unit, for generating scheduling strategy according to the distribution weight of each node.
9. the application server cluster request dispatching device according to any one in claim 6-8, it is characterised in that
First collection module collects the configuration parameter of each node in application server cluster using scheduled duration as interval.
10. the application server cluster request dispatching device according to any one in claim 6-8, it is characterised in that
Also include：
Second collection module, the actual connection number for collecting each node in application server cluster；
Then the scheduling strategy generation module is used for, and each node is determined using the configuration parameter and actual connection number of each node
Distribution weight, and generate scheduling strategy.
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