CN108833528A - A kind of cloud platform colony dispatching method and apparatus - Google Patents
A kind of cloud platform colony dispatching method and apparatus Download PDFInfo
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- CN108833528A CN108833528A CN201810592411.2A CN201810592411A CN108833528A CN 108833528 A CN108833528 A CN 108833528A CN 201810592411 A CN201810592411 A CN 201810592411A CN 108833528 A CN108833528 A CN 108833528A
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- cloud platform
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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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- H—ELECTRICITY
- H04—ELECTRIC COMMUNICATION TECHNIQUE
- H04L—TRANSMISSION OF DIGITAL INFORMATION, e.g. TELEGRAPHIC COMMUNICATION
- H04L47/00—Traffic control in data switching networks
- H04L47/70—Admission control; Resource allocation
- H04L47/76—Admission control; Resource allocation using dynamic resource allocation, e.g. in-call renegotiation requested by the user or requested by the network in response to changing network conditions
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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
Abstract
The embodiment of the invention discloses a kind of cloud platform colony dispatching method and apparatus, the method includes：According to the demand of different user, corresponding scheduling strategy in the colony scheduling strategy of preset cloud platform is selected；Cluster is scheduled according to the parameter of the corresponding scheduling strategy.Method through the embodiment of the present invention can apply corresponding scheduling strategy according to different user demands, realize the dynamic allocation to cluster resource.
Description
Technical field
The present invention relates to cloud computing technology, espespecially a kind of cloud platform colony dispatching method and apparatus.
Background technique
It in cloud platform, needs to access a large amount of cluster resource, and disposes a large amount of virtual machine in the cluster.And in order to more
It is effective to utilize, distribute cluster resource, reasonable, the flexible colony dispatching strategy using a kind of comparison is needed, realizes the dynamic of resource
State distribution, improves the utilizability of cluster resource.
However the technical solution of the prior art can not effectively apply corresponding scheduling according to different user demands
Strategy realizes the dynamic allocation to cluster resource.Therefore, the prior art cannot carry out reasonable distribution, cloud platform to cluster resource
The flexibility of cluster resource scheduling and validity are poor, and the operation stability of cloud platform is poor.
Summary of the invention
In order to solve the above-mentioned technical problem, the embodiment of the invention provides a kind of cloud platform colony dispatching method and apparatus,
Corresponding scheduling strategy can be applied according to different user demands, realize the dynamic allocation to cluster resource.
In order to reach the object of the invention, on the one hand, the embodiment of the invention provides a kind of cloud platform colony dispatching method, packets
It includes：
According to the demand of different user, corresponding scheduling plan in the colony scheduling strategy of preset cloud platform is selected
Slightly；
Cluster is scheduled according to the parameter of the corresponding scheduling strategy.
Further, the colony scheduling strategy of the preset cloud platform includes：
It is to fill up strategy, diversification strategies and load balancing by colony dispatching policy definition.
Further, the demand according to different user, selects in the colony scheduling strategy of preset cloud platform
Corresponding scheduling strategy further includes：
It is maximum if necessary to host computer rate in cluster, strategy is filled up using described；
By deploying virtual machine in same host, until the host is filled.
Further, the demand according to different user, selects in the colony scheduling strategy of preset cloud platform
Corresponding scheduling strategy further includes：
If necessary to virtual machine stable operation, using the diversification strategies；
Virtual machine equalization is deployed in different hosts.
Further, the demand according to different user, selects in the colony scheduling strategy of preset cloud platform
Corresponding scheduling strategy further includes：
If necessary to the load balancing of host in cluster, using the load balancing；
The load of each host under system automatic detection group, and the virtual machine (vm) migration disposed on high load host is born to low
Carry host.
On the other hand, the embodiment of the invention also provides a kind of cloud platform colony dispatching devices, including：
Selecting module selects in the colony scheduling strategy of preset cloud platform for the demand according to different user
Corresponding scheduling strategy；
Scheduler module is scheduled for cluster according to the parameter of the corresponding scheduling strategy.
Further, the selecting module is also used to：
It is to fill up strategy, diversification strategies and load balancing by colony dispatching policy definition.
Further, the scheduler module is also used to：
It is maximum if necessary to host computer rate in cluster, strategy is filled up using described；
By deploying virtual machine in same host, until the host is filled.
Further, the scheduler module is also used to：
If necessary to virtual machine stable operation, using the diversification strategies；
Virtual machine equalization is deployed in different hosts.
Further, the scheduler module is also used to：
If necessary to the load balancing of host in cluster, using the load balancing；
The load of each host under system automatic detection group, and the virtual machine (vm) migration disposed on high load host is born to low
Carry host.
For the embodiment of the present invention according to the demand of different user, it is right in the colony scheduling strategy of preset cloud platform to select
The scheduling strategy answered；Cluster is scheduled according to the parameter of the corresponding scheduling strategy.Method through the embodiment of the present invention,
Corresponding scheduling strategy can be applied according to different user demands, realize the dynamic allocation to cluster resource.
Other features and advantages of the present invention will be illustrated in the following description, also, partly becomes from specification
It obtains it is clear that understand through the implementation of the invention.The objectives and other advantages of the invention can be by specification, right
Specifically noted structure is achieved and obtained in claim and attached drawing.
Detailed description of the invention
Attached drawing is used to provide to further understand technical solution of the present invention, and constitutes part of specification, with this
The embodiment of application technical solution for explaining the present invention together, does not constitute the limitation to technical solution of the present invention.
Fig. 1 is the flow chart of cloud platform of embodiment of the present invention colony dispatching method；
Fig. 2 is the schematic diagram of cloud platform of embodiment of the present invention colony dispatching method；
Fig. 3 is the structure chart of cloud platform of embodiment of the present invention colony dispatching device.
Specific embodiment
To make the objectives, technical solutions, and advantages of the present invention clearer, below in conjunction with attached drawing to the present invention
Embodiment be described in detail.It should be noted that in the absence of conflict, in the embodiment and embodiment in the application
Feature can mutual any combination.
Step shown in the flowchart of the accompanying drawings can be in a computer system such as a set of computer executable instructions
It executes.Also, although logical order is shown in flow charts, and it in some cases, can be to be different from herein suitable
Sequence executes shown or described step.
Fig. 1 is the flow chart of cloud platform of embodiment of the present invention colony dispatching method, as shown in Figure 1, the embodiment of the present invention
Method includes the following steps：
Step 100：According to the demand of different user, select corresponding in the colony scheduling strategy of preset cloud platform
Scheduling strategy；
Step 101：Cluster is scheduled according to the parameter of the corresponding scheduling strategy.
Specifically, the technical solution that the embodiment of the present invention proposes is a kind of based on cloud platform ICOS (Include
OpenStack), the specially colony dispatching strategy of tide sea of clouds cloud data center operating system.
Colony dispatching strategy is divided by the embodiment of the present invention fills up strategy, diversification strategies and load balancing, Ke Yifen
Different performance indicators is not realized.
Further, the colony scheduling strategy of the preset cloud platform includes：
It is to fill up strategy, diversification strategies and load balancing by colony dispatching policy definition.
Further, the demand according to different user, selects in the colony scheduling strategy of preset cloud platform
Corresponding scheduling strategy further includes：
It is maximum if necessary to host computer rate in cluster, strategy is filled up using described；
By deploying virtual machine in same host, until the host is filled.
Wherein, host computer rate maximum for example including：Pass through the calculated host cpu (Central of process
Processing Unit, CPU) utilization rate maximum.
Further, the demand according to different user, selects in the colony scheduling strategy of preset cloud platform
Corresponding scheduling strategy further includes：
If necessary to virtual machine stable operation, using the diversification strategies；
Virtual machine equalization is deployed in different hosts.
Further, the demand according to different user, selects in the colony scheduling strategy of preset cloud platform
Corresponding scheduling strategy further includes：
If necessary to the load balancing of host in cluster, using the load balancing；
The load of each host under system automatic detection group, and the virtual machine (vm) migration disposed on high load host is born to low
Carry host.For example, high load host is the host for being higher than preset load on host computers upper limit value in the load balancing, low-load
Host is the host for being lower than preset load on host computers lower limit value in the load balancing, in this way, highest can be loaded host
On the virtual machine (vm) migration of upper deployment to minimum load host.
As it can be seen that filling up after strategy can ensure that virtual machine fills up current hosts in cluster, it can just be deployed to another host, it is ensured that
The high usage of host resource；Numerous deploying virtual machines in different hosts, is ensured the steady of virtual machine operation by diversification strategies
It is qualitative；Dynamic Load-Balancing Strategy can make the load of each host under system automatic detection group, and will dispose on high load host
Virtual machine (vm) migration to low-load host, it is ensured that the load balancing of host in cluster.
The embodiment of the present invention is mainly used in the colony dispatching of cloud platform, method through the embodiment of the present invention, Ke Yigen
Corresponding scheduling strategy is applied according to different user demands, realizes the dynamic allocation to cluster resource.
Technical solution of the embodiment of the present invention is elaborated as follows：
According to different user demands, defining colony dispatching strategy is to fill up strategy, diversification strategies and load balancing；
Ensure that the utilization rate of host in cluster is maximum using strategy is filled up；
Ensure the stability of virtual machine operation using diversification strategies；
Application load balancing strategy ensures the load balancing of host in cluster；
Technical solution of the embodiment of the present invention realize specific embodiment be：
Fig. 2 is the schematic diagram of cloud platform of embodiment of the present invention colony dispatching method, as shown in Fig. 2, the embodiment of the present invention
It is to fill up strategy, diversification strategies and load balancing by the colony dispatching policy definition based on ICOS, specific implementation process is such as
Under：
S1, the actual demand according to user, using different scheduling strategies：
It is maximum if necessary to host computer rate in cluster, using filling up strategy；
If necessary to virtual machine stable operation, using diversification strategies；
If required to ensure that in cluster host load balancing, application load balancing strategy.
S2, strategy is filled up when cluster application, by deploying virtual machine in same host, until the host is filled；
S3, when cluster application diversification strategies, virtual machine equalization is deployed in different hosts；
S4, when the load of each host under cluster application load balancing, system automatic detection group, and by high load master
The virtual machine (vm) migration disposed on machine is to low-load host；
S5, system carry out detailed log recording to the scheduling of cluster resource.
The reasonable distribution of cluster resource may be implemented in the embodiment of the present invention, greatly improves the scheduling of cloud platform cluster resource
Flexibility and validity, it is ensured that the stable operation of cloud platform.
Fig. 3 is the structure chart of cloud platform of embodiment of the present invention colony dispatching device, as shown in figure 3, the embodiment of the present invention is another
On the one hand a kind of cloud platform colony dispatching device provided, including：
Selecting module 301 selects the colony scheduling strategy of preset cloud platform for the demand according to different user
In corresponding scheduling strategy；
Scheduler module 302 is scheduled for cluster according to the parameter of the corresponding scheduling strategy.
Further, the selecting module 301 is also used to：
It is to fill up strategy, diversification strategies and load balancing by colony dispatching policy definition.
Further, the scheduler module 302 is also used to：
It is maximum if necessary to host computer rate in cluster, strategy is filled up using described；
By deploying virtual machine in same host, until the host is filled.
Further, the scheduler module 302 is also used to：
If necessary to virtual machine stable operation, using the diversification strategies；
Virtual machine equalization is deployed in different hosts.
Further, the scheduler module 302 is also used to：
If necessary to the load balancing of host in cluster, using the load balancing；
The load of each host under system automatic detection group, and the virtual machine (vm) migration disposed on high load host is born to low
Carry host.
Specifically, the embodiment of the present invention designs reasonable colony dispatching strategy according to different customer demands, and then makes to collect
The Land use systems of group are more rationally effective, improve the flexibility and validity of cluster resource scheduling.
Described device improves cluster resource scheduling to the corresponding scheduling strategy of cluster application according to different customer demands
Flexibility and validity；
Colony dispatching policy definition is to fill up strategy, diversification strategies and load balancing by described device, according to user
Actual demand, using different scheduling strategies, cluster carries out rationalization scheduling according to policing parameter；
Described device applies different scheduling strategies, and cluster carries out rationalization scheduling according to policing parameter, and main includes such as
Under several steps：
It is maximum if necessary to host computer rate in cluster, using filling up strategy, by deploying virtual machine in same host, until
The host is filled；
Virtual machine equalization is deployed in different hosts using diversification strategies if necessary to virtual machine stable operation；
If required to ensure that in cluster host load balancing, application load balancing strategy, under system automatic detection group
The load of each host, and by the virtual machine (vm) migration disposed on high load host to low-load host；
System records the scheduling of cluster resource in detail.
For the embodiment of the present invention according to the demand of different user, it is right in the colony scheduling strategy of preset cloud platform to select
The scheduling strategy answered；Cluster is scheduled according to the parameter of the corresponding scheduling strategy.Method through the embodiment of the present invention,
Corresponding scheduling strategy can be applied according to different user demands, realize the dynamic allocation to cluster resource.
In conclusion the embodiment of the present invention is mainly used in the colony dispatching of cloud platform, it can be according to different user's need
It asks using corresponding scheduling strategy, realizes the dynamic allocation to cluster resource.
Colony dispatching strategy is divided by the embodiment of the present invention according to different user demands：Fill up strategy, diversification strategies and
Load balancing realizes different colony dispatching indexs respectively.
The reasonable distribution of cluster resource may be implemented in the embodiment of the present invention, greatly improves the scheduling of cloud platform cluster resource
Flexibility and validity, it is ensured that the stable operation of cloud platform.
Although disclosed herein embodiment it is as above, the content only for ease of understanding the present invention and use
Embodiment is not intended to limit the invention.Technical staff in any fields of the present invention is taken off not departing from the present invention
Under the premise of the spirit and scope of dew, any modification and variation, but the present invention can be carried out in the form and details of implementation
Scope of patent protection, still should be subject to the scope of the claims as defined in the appended claims.
Claims (10)
1. a kind of cloud platform colony dispatching method, which is characterized in that including：
According to the demand of different user, corresponding scheduling strategy in the colony scheduling strategy of preset cloud platform is selected；
Cluster is scheduled according to the parameter of the corresponding scheduling strategy.
2. cloud platform colony dispatching method according to claim 1, which is characterized in that the preset cloud platform it is a variety of
Colony dispatching strategy includes：
It is to fill up strategy, diversification strategies and load balancing by colony dispatching policy definition.
3. cloud platform colony dispatching method according to claim 2, which is characterized in that the need according to different user
It asks, selects the corresponding scheduling strategy in the colony scheduling strategy of preset cloud platform to further include：
It is maximum if necessary to host computer rate in cluster, strategy is filled up using described；
By deploying virtual machine in same host, until the host is filled.
4. cloud platform colony dispatching method according to claim 2, which is characterized in that the need according to different user
It asks, selects the corresponding scheduling strategy in the colony scheduling strategy of preset cloud platform to further include：
If necessary to virtual machine stable operation, using the diversification strategies；
Virtual machine equalization is deployed in different hosts.
5. cloud platform colony dispatching method according to claim 2, which is characterized in that the need according to different user
It asks, selects the corresponding scheduling strategy in the colony scheduling strategy of preset cloud platform to further include：
If necessary to the load balancing of host in cluster, using the load balancing；
The load of each host under system automatic detection group, and by the virtual machine (vm) migration disposed on high load host to low-load master
Machine.
6. a kind of cloud platform colony dispatching device, which is characterized in that including：
Selecting module selects corresponding in the colony scheduling strategy of preset cloud platform for the demand according to different user
Scheduling strategy；
Scheduler module is scheduled for cluster according to the parameter of the corresponding scheduling strategy.
7. cloud platform colony dispatching device according to claim 6, which is characterized in that the selecting module is also used to：
It is to fill up strategy, diversification strategies and load balancing by colony dispatching policy definition.
8. cloud platform colony dispatching device according to claim 7, which is characterized in that the scheduler module is also used to：
It is maximum if necessary to host computer rate in cluster, strategy is filled up using described；
By deploying virtual machine in same host, until the host is filled.
9. cloud platform colony dispatching device according to claim 7, which is characterized in that the scheduler module is also used to：
If necessary to virtual machine stable operation, using the diversification strategies；
Virtual machine equalization is deployed in different hosts.
10. cloud platform colony dispatching device according to claim 7, which is characterized in that the scheduler module is also used to：
If necessary to the load balancing of host in cluster, using the load balancing；
The load of each host under system automatic detection group, and by the virtual machine (vm) migration disposed on high load host to low-load master
Machine.
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Application publication date: 20181116 |