CN104660690A - Cloud video service monitoring system - Google Patents

Cloud video service monitoring system Download PDF

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Publication number
CN104660690A
CN104660690A CN201510063871.2A CN201510063871A CN104660690A CN 104660690 A CN104660690 A CN 104660690A CN 201510063871 A CN201510063871 A CN 201510063871A CN 104660690 A CN104660690 A CN 104660690A
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virtual machine
module
resource
cloud
described virtual
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CN104660690B (en
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高万林
王建仑
徐东波
张港红
李军
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China Agricultural University
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China Agricultural University
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Abstract

The invention provides a cloud video service monitoring system. The system comprises a cloud service monitoring module, a cloud service control module and a virtual machine management module, wherein the cloud service monitoring module is used for acquiring instruction information of a user and sending the instruction information to the cloud service control module; the cloud service control module determines a virtual machine migration strategy according to a load balancing method and the instruction information, and sending the virtual machine migration strategy to the virtual machine management module; the virtual machine management module receives the virtual machine migration strategy and migrates the virtual machine according to the virtual machine migration strategy, so as to realize resource optimization. With adoption of the cloud video service monitoring system provided by the invention, virtual resource information acquisition and virtual machine migration optimization can be provided for a mass of cloud video data, so that the resource utilization rate can be increased, the energy consumption can be reduced, and expansion and management can be convenient.

Description

Cloud Video service supervisory control system
Technical field
The present invention relates to computer video field, particularly relate to a kind of cloud Video service supervisory control system.
Background technology
Agrotechnical popularization is that China promotes one of important measures of agricultural development, and agricultural technology extension service has become the vital task of R&D institution and agricultural universities and colleges.Internet video take Streaming Media as broadcast format, can the audio video interleaved of live or program request online, because of have can viewing, the feature of sound can be listened, very complicated agricultural technology can be represented by the Internet intuitively, is more easily accepted.Cloud video platform can be good at solving its problem in the problem of price and maintenance, but also encounters some problems simultaneously: the memory data output of the first video website is huge, needs a large amount of server resources; Second public goods concentrates on 1 year special time, there is website visiting short-term concentrations problem.Therefore, for ensureing peak value access period website service quality, common way increases server number to ensure the service of website; 3rd night calling party little.
Cloud Video service platform can bring new problem at the special time of agricultural technology extension: number of servers is large, and utilance is low, and a lot of period server is in idle state; The adjoint energy consumption of machine room problem of servers numerous is in a large number also very serious.
Summary of the invention
For defect of the prior art, the invention provides a kind of cloud Video service supervisory control system, virtual resource information gathering, virtual machine (vm) migration optimization can be provided to a large amount of cloud video datas, improve resource utilization, energy efficient, be convenient to expansion and management.
The invention provides a kind of cloud Video service supervisory control system, comprising:
Cloud service monitoring module, cloud service control module and Virtual Machine Manager module;
Described cloud service monitoring module, for obtaining the command information of user and described command information being sent to described cloud service control module;
Described cloud service control module, according to load-balancing method and described command information, determines virtual machine (vm) migration strategy, and described virtual machine (vm) migration strategy is sent to described Virtual Machine Manager module;
Described Virtual Machine Manager module receives described virtual machine (vm) migration strategy, and moves virtual machine according to described virtual machine (vm) migration strategy, to realize the optimization of resource.
Further, described Virtual Machine Manager module comprises virtual assigned module, OpenStack operational module;
Described OpenStack operational module, for carrying out virtual to the computational resource on physical server and storage resources, to obtain computational resource pond in logic and data resource pond;
Described virtual assigned module, for distributing the resource in described computational resource pond in logic and data resource pond, the resource load stabilization in computational resource pond in logic described in realization and data resource pond.
Further, described OpenStack operational module, also for receiving described virtual machine (vm) migration strategy, and moves the virtual machine in described Virtual Machine Manager module, to realize the optimization of resource.
Further, described OpenStack operational module, also for the interface in computational resource pond in logic described in providing and data resource pond, with make described cloud service control module to obtain through described interface described in resource in computational resource pond in logic and data resource pond.
Further, described cloud service control module comprises virtual machine supervision submodule;
Described virtual machine supervision submodule comprises data acquisition unit, data storage cell;
The state parameter of virtual machine described in described data acquisition unit acquires, and the state parameter of described virtual machine is stored into described data storage cell, control for virtual machine the state parameter that submodule obtains virtual machine described in it.
Further, described data acquisition unit adopts Libvirt API connected mode to be connected with described Virtual Machine Manager module, to gather the state parameter of described virtual machine.
Further, described virtual machine supervision submodule also comprises monitoring resource unit;
Described monitoring resource unit reads the state parameter of the described virtual machine in described data storage cell, and the state parameter of described virtual machine is sent to described cloud service monitoring module;
Described cloud service monitoring module, for receiving the state parameter of described virtual machine and showing the state parameter of described virtual machine with graphic form.
Further, described cloud service control module also comprises virtual machine control submodule;
Described virtual machine controls submodule and comprises resource migration control unit;
Described resource migration control unit reads the state parameter of the described virtual machine in described data storage cell, and determine described virtual machine (vm) migration strategy according to described load-balancing method and described command information, and described virtual machine (vm) migration strategy is sent to described Virtual Machine Manager module.
Further, the dynamic migration that the dynamic migration that described virtual machine (vm) migration strategy comprises virtual machine static migrating, virtual machine shares storage, virtual machine this locality stores.
Further, described Virtual Machine Manager module comprises at least one virtual machine pool, and arbitrary described virtual machine pool at least comprises a virtual machine;
Described virtual machine pool is used for storing the data stored, index, distribution and management.
As shown from the above technical solution, by cloud Video service supervisory control system provided by the invention, wherein, system comprises: cloud service monitoring module, cloud service control module and Virtual Machine Manager module; Described cloud service monitoring module, for obtaining the command information of user and described command information being sent to described cloud service control module; Described cloud service control module, according to load-balancing method and described command information, determines virtual machine (vm) migration strategy, and described virtual machine (vm) migration strategy is sent to described Virtual Machine Manager module; Described Virtual Machine Manager module receives described virtual machine (vm) migration strategy, and moves virtual machine according to described virtual machine (vm) migration strategy, to realize the optimization of resource.By cloud Video service supervisory control system provided by the invention, virtual resource information gathering, virtual machine (vm) migration optimization can be provided to a large amount of cloud video datas, improve resource utilization, energy efficient, be convenient to expansion and management.
Accompanying drawing explanation
In order to be illustrated more clearly in the embodiment of the present invention or technical scheme of the prior art, below the accompanying drawing used required in embodiment or description of the prior art is briefly described, apparently, accompanying drawing in the following describes is only some embodiments of the present invention, for those of ordinary skill in the art, under the prerequisite not paying creative work, other accompanying drawing can also be obtained according to these accompanying drawings.
The structural representation of a kind of cloud Video service supervisory control system that Fig. 1 provides for the embodiment of the present invention;
The structural representation of the cloud service control module that Fig. 2 provides for the embodiment of the present invention;
The structural representation of the virtual machine supervision submodule that Fig. 3 provides for the embodiment of the present invention;
The structural representation of the virtual machine control submodule that Fig. 4 provides for the embodiment of the present invention.
Embodiment
For making the object of the embodiment of the present invention, technical scheme and advantage clearly, below in conjunction with the accompanying drawing in the embodiment of the present invention, clear, complete description is carried out to the technical scheme in the embodiment of the present invention, obviously, described embodiment is only the present invention's part embodiment, instead of whole embodiments.Based on embodiments of the invention, those of ordinary skill in the art, not making the every other embodiment obtained under creative work prerequisite, belong to the scope of protection of the invention.
The structural representation of a kind of cloud Video service supervisory control system that Fig. 1 provides for the embodiment of the present invention, as shown in Figure 1, the cloud Video service supervisory control system of the present embodiment is as described below.
Cloud Video service supervisory control system, comprising: Virtual Machine Manager module 11, cloud service control module 12, cloud service monitoring module 13.
It should be understood that cloud service monitoring module 13, for obtaining the command information of user and described command information being sent to cloud service control module 12.
It should be understood that cloud service control module 12 is according to load-balancing method and command information, determines virtual machine (vm) migration strategy, and virtual machine (vm) migration strategy is sent to Virtual Machine Manager module 11.
Virtual Machine Manager module 11 sink virtual machine migration strategy, and according to virtual machine (vm) migration strategy, virtual machine is moved, to realize the optimization of resource.
Cloud service monitoring module 13 is connected with cloud service control module 12, and cloud service control module 12 is connected with Virtual Machine Manager module 11.
It should be understood that cloud service monitoring module 13 is for providing the graphic interface of resource service condition, is convenient to network management personnel and checks system resource real-time status.Comprise graphical control inerface simultaneously, keeper can be helped to realize the object of resource real-time optimization by load balancing and virtual machine (vm) migration etc., and improve resource utilization to greatest extent.
It should be understood that Virtual Machine Manager module 11 can be carried out virtual to the computational resource of cluster module and storage resources, make it formation one computational resource pond in logic and data storage pool.Computational resource pond is carried out to distribution and the management function of computational resource simultaneously, and comprise troubleshooting to cluster module, dealing with network breakdown, the function such as computational resource load balance and Joint Enterprise.Virtual machine pool cluster in Virtual Machine Manager module 11 can provide the support platform of application layer for user, comprises computing application, stores application and cloud application.Distribution to the storage resources such as video, document and management are provided simultaneously, are responsible for carrying out load balancing and distribution to video request and other requests, comprise the management of data security, data storage index.
It should be understood that Virtual Machine Manager module 11 comprises virtual assigned module, OpenStack operational module.
OpenStack operational module, for carrying out virtual to the computational resource on physical server and storage resources, to obtain computational resource pond in logic and data resource pond;
Virtual assigned module, for distributing the resource in described computational resource pond in logic and data resource pond, the resource load stabilization in computational resource pond in logic described in realization and data resource pond.
It should be understood that OpenStack operational module, also for sink virtual machine migration strategy, and the virtual machine in Virtual Machine Manager module is moved, to realize the optimization of resource.
It should be understood that OpenStack operational module, also for providing the interface in computational resource pond in logic and data resource pond, obtaining the resource in computational resource pond in logic and data resource pond to make cloud service control module through interface.
Cloud service control module 12 comprises virtual machine supervision submodule 21.
Virtual machine supervision submodule 21 comprises data acquisition unit 33, data storage cell 31.
It should be understood that data acquisition unit 33 gathers the state parameter of virtual machine, and the state parameter of virtual machine is stored into data storage cell 31, control for virtual machine the state parameter that submodule 22 obtains its virtual machine.
Data acquisition unit 33 adopts Libvirt API connected mode to be connected with Virtual Machine Manager module 11, to gather the state parameter of virtual machine.
Virtual machine supervision submodule 21 also comprises monitoring resource unit 32.
It should be understood that monitoring resource unit 32 reads the state parameter of the virtual machine in data storage cell 31, and the state parameter of virtual machine is sent to cloud service monitoring module 13.
Cloud service monitoring module 13, for sink virtual machine state parameter and with graphic form display virtual machine state parameter.
Cloud service control module 12 also comprises virtual machine and controls submodule 22.
Virtual machine controls submodule 22 and comprises resource migration control unit 41.
It should be understood that resource migration control unit 41 reads the state parameter of the virtual machine in data storage cell 31, and according to load-balancing method and command information determination virtual machine (vm) migration strategy, and virtual machine (vm) migration strategy is sent to Virtual Machine Manager module 11.
The structural representation of the cloud service control module that Fig. 2 provides for the embodiment of the present invention, as shown in Figure 2, the structure of cloud service control module is as described below.
Cloud service control module 12 comprises virtual machine supervision submodule 21 and virtual machine controls submodule 22.
Virtual machine supervision submodule 21 controls submodule 22 with virtual machine and is connected.
The dynamic migration that the dynamic migration that virtual machine (vm) migration strategy comprises virtual machine static migrating, virtual machine shares storage, virtual machine this locality stores.
It should be understood that Virtual Machine Manager module 11 comprises at least one virtual machine pool, arbitrary virtual machine pool at least comprises a virtual machine, virtual machine pool is used for storing the data stored, index, distribution and management.
The structural representation of the virtual machine supervision submodule that Fig. 3 provides for the embodiment of the present invention, as shown in Figure 3, virtual machine supervision submodule is as described below.
Virtual machine supervision submodule 21 comprises data acquisition unit 33, data storage cell 31 and monitoring resource unit 32.
Data acquisition unit 33 is connected with data storage cell 31, and data acquisition unit 33 is connected with monitoring resource unit 32, and data storage cell 31 is connected with monitoring resource unit 32.
Data acquisition unit 33 adopts Libvirt API connected mode, is connected with Virtual Machine Manager module 11.
Be understood that, virtual machine supervision submodule 21 gathers the status data of virtual machine by the Libvirt API calling Virtual Machine Manager module 11, arrange simultaneously and store in data to data memory cell 31, monitoring resource unit 32 reads the data of data storage cell 31 and is shown to administrative staff with patterned way.
The structural representation of the virtual machine control submodule that Fig. 4 provides for the embodiment of the present invention, as shown in Figure 4, it is as described below that virtual machine controls submodule.
Virtual machine controls submodule 22 and comprises resource migration control unit 41, and resource migration control unit 41 is connected with data storage cell 31, and resource migration control unit 41 is connected with Virtual Machine Manager module 11.
Be understood that, virtual machine controls submodule 22 and determines migration scheme by data existing in data storage cell 31, and by virtual machine static migrating, virtual machine share storage dynamic migration, virtual machine this locality store dynamic migration realize scheduling virtual machine, to reach resource optimization.
Cloud service monitoring module provides computational resource service condition graphic interface, and graphical scheduling of resource and control inerface, is the entrance of all cloud video monitorings service.
Be understood that, Virtual Machine Manager module 11 and application interface can provide virtualized computational resource and storage resources Virtual Machine Manager module to provide the distribution and the management interface that computational resource pond are carried out to computational resource simultaneously, and comprise troubleshooting to cluster module, dealing with network breakdown, computational resource load balance and Joint Enterprise etc. provide the corresponding interface.
It should be understood that cloud memory space forms virtual machine pool from virtual unit by multiple different deployment framework, virtual machine pool stores dissimilar data respectively, forms different regions and function division, and provides corresponding Video service and other services.
Cloud memory space and the virtual machine of cloud service control module 12 pairs of Virtual Machine Manager modules 11 carry out information gathering and analysis, provide virtual resource newly-built, delete, migration with configure and the function such as system backup, recovery and dilatation.
By cloud Video service supervisory control system provided by the invention, virtual resource information gathering, virtual machine (vm) migration optimization can be provided to a large amount of cloud video datas, improve resource utilization, energy efficient, be convenient to expansion and management.
Cloud Video service method for supervising is as described below:
S1, Virtual Machine Manager module are carried out virtual to the computational resource of cluster module and storage resources, to form a computational resource pond in logic and data storage pool, computational resource pond is carried out to distribution and the management function of computational resource, and comprise troubleshooting to cluster module, dealing with network breakdown, the function such as computational resource load balance and Joint Enterprise;
S2, on the basis of S1, set up cloud video virtual machine pond cluster, virtual machine pool is made up of multiple virtual unit, and has different deployment framework separately, and virtual machine pool stores different types of data respectively, form different regions and function division, and corresponding Video service and other services are provided.Virtual machine pool cluster also provides the support platform of application layer for user, comprises computing application, stores application and cloud application.Distribution to the storage resources such as video, document and management are provided simultaneously, are responsible for carrying out load balancing and distribution to video request and other requests, and comprise the management of data security, data storage index;
S3, on the basis of S2, set up multiple virtual machine server and for virtual machine supervision submodule, this virtual machine supervision submodule can realize the data acquisition of cloud platform status, access image data simultaneously and manage, the data obtained provides Data support for described virtual machine controls the module such as submodule and virtual machine supervision submodule.Monitoring resource unit reads data memory cell data is also presented to administrative staff with patterned way, completes information real-time show.
S4, on the basis of S3, set up multiple virtual machine server and for virtual machine control submodule, this virtual machine controls submodule by the data with existing in data storage cell, determine virtual machine (vm) migration scheme, and by virtual machine static migrating, virtual machine share storage dynamic migration, virtual machine this locality store dynamic migration realize scheduling virtual machine.Finally reach the object of resource optimization.
S5, the basis of S4 is set up institute's cloud service monitoring module resource service condition graphic interface is provided, and graphical scheduling of resource and control inerface, be the entrance of cloud video monitoring service.For network management personnel checks that system resource real-time status provides visual control window.Comprise graphical control inerface simultaneously, can keeper be helped, realized the object of resource real-time optimization by load balancing and virtual machine (vm) migration etc., and improve resource utilization to greatest extent.Cloud platform service massive video data and cloud video website being provided in real time, efficiently processes can be realized, finally reach and improve resource utilization object to greatest extent.
By cloud Video service method for supervising provided by the invention, virtual resource information gathering, virtual machine (vm) migration optimization can be provided to a large amount of cloud video datas, improve resource utilization, energy efficient, be convenient to expansion and management.
One of ordinary skill in the art will appreciate that: all or part of step realizing said method embodiment can have been come by the hardware that program command is relevant, aforesaid program can be stored in the storage medium of embodied on computer readable, this program, when performing, performs the step comprising said method embodiment; And aforesaid storage medium comprises: ROM, RAM, magnetic disc or CD etc. various can be program code stored medium in.
The above, be only the specific embodiment of the present invention, but; protection scope of the present invention is not limited to this; anyly be familiar with those skilled in the art in the technical scope that the present invention discloses, the change that can expect easily or substitute, all should be encompassed within protection scope of the present invention.Therefore, protection scope of the present invention should be as the criterion with the protection range of described claim.

Claims (10)

1. a cloud Video service supervisory control system, is characterized in that, comprising: cloud service monitoring module, cloud service control module and Virtual Machine Manager module;
Described cloud service monitoring module, for obtaining the command information of user and described command information being sent to described cloud service control module;
Described cloud service control module, according to load-balancing method and described command information, determines virtual machine (vm) migration strategy, and described virtual machine (vm) migration strategy is sent to described Virtual Machine Manager module;
Described Virtual Machine Manager module receives described virtual machine (vm) migration strategy, and moves virtual machine according to described virtual machine (vm) migration strategy, to realize the optimization of resource.
2. cloud Video service supervisory control system according to claim 1, is characterized in that, described Virtual Machine Manager module comprises virtual assigned module, OpenStack operational module;
Described OpenStack operational module, for carrying out virtual to the computational resource on physical server and storage resources, to obtain computational resource pond in logic and data resource pond;
Described virtual assigned module, for distributing the resource in described computational resource pond in logic and data resource pond, the resource load stabilization in computational resource pond in logic described in realization and data resource pond.
3. cloud Video service supervisory control system according to claim 2, it is characterized in that, described OpenStack operational module, also for receiving described virtual machine (vm) migration strategy, and the virtual machine in described Virtual Machine Manager module is moved, to realize the optimization of resource.
4. cloud Video service supervisory control system according to claim 2, it is characterized in that, described OpenStack operational module, also for the interface in computational resource pond in logic described in providing and data resource pond, with make described cloud service control module to obtain through described interface described in resource in computational resource pond in logic and data resource pond.
5. cloud Video service supervisory control system according to claim 1, is characterized in that, described cloud service control module comprises virtual machine supervision submodule;
Described virtual machine supervision submodule comprises data acquisition unit, data storage cell;
The state parameter of virtual machine described in described data acquisition unit acquires, and the state parameter of described virtual machine is stored into described data storage cell, control for virtual machine the state parameter that submodule obtains virtual machine described in it.
6. cloud Video service supervisory control system according to claim 5, is characterized in that, described data acquisition unit adopts Libvirt API connected mode to be connected with described Virtual Machine Manager module, to gather the state parameter of described virtual machine.
7. cloud Video service supervisory control system according to claim 4, is characterized in that, described virtual machine supervision submodule also comprises monitoring resource unit;
Described monitoring resource unit reads the state parameter of the described virtual machine in described data storage cell, and the state parameter of described virtual machine is sent to described cloud service monitoring module;
Described cloud service monitoring module, for receiving the state parameter of described virtual machine and showing the state parameter of described virtual machine with graphic form.
8. cloud Video service supervisory control system according to claim 1, is characterized in that, described cloud service control module also comprises described virtual machine and controls submodule;
Described virtual machine controls submodule and comprises resource migration control unit;
Described resource migration control unit reads the state parameter of the described virtual machine in described data storage cell, and determine described virtual machine (vm) migration strategy according to described load-balancing method and described command information, and described virtual machine (vm) migration strategy is sent to described Virtual Machine Manager module.
9. cloud Video service supervisory control system according to claim 8, is characterized in that, the dynamic migration that the dynamic migration that described virtual machine (vm) migration strategy comprises virtual machine static migrating, virtual machine shares storage, virtual machine this locality stores.
10. cloud Video service supervisory control system according to claim 1, is characterized in that, described Virtual Machine Manager module comprises at least one virtual machine pool, and arbitrary described virtual machine pool at least comprises a virtual machine;
Described virtual machine pool is used for storing the data stored, index, distribution and management.
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CN105117274A (en) * 2015-09-16 2015-12-02 北京百度网讯科技有限公司 Method and device for transferring virtual machines
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CN107045452B (en) * 2016-02-06 2019-12-31 北京京东尚科信息技术有限公司 Virtual machine scheduling method and device
CN105897866A (en) * 2016-03-29 2016-08-24 新浪网技术(中国)有限公司 IaaS cloud platform-based cloud host migration method and apparatus
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CN107544839A (en) * 2016-06-27 2018-01-05 腾讯科技(深圳)有限公司 Virtual machine (vm) migration system, method and device
CN107092686A (en) * 2017-04-24 2017-08-25 浙江宇视科技有限公司 A kind of file management method and device based on cloud storage platform
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