CN102752390A - Virtual resource allocating method based on user position information - Google Patents
Virtual resource allocating method based on user position information Download PDFInfo
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- CN102752390A CN102752390A CN2012102360962A CN201210236096A CN102752390A CN 102752390 A CN102752390 A CN 102752390A CN 2012102360962 A CN2012102360962 A CN 2012102360962A CN 201210236096 A CN201210236096 A CN 201210236096A CN 102752390 A CN102752390 A CN 102752390A
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Abstract
The invention discloses a virtual resource allocating method based on user position information, which comprises the following steps: S10) describing information of a user and a related position in a logging request; S11) collecting statistic information of the user and the request source position by a main data center, and generating an allocating plan for a virtual resource according to an allocating requirement; and S12) automatically allocating the virtual resource according to the allocating plan. According to the virtual resource allocating method based on the user position information provided by the invention, the frequency information of the user who accesses different resources in different positions is collected and the virtual resource is automatically allocated at different area data centers. According to the statistic information of the positions accessed by the user, the user is allocated with the virtual resource in the optimized position and the utilization efficiency of the resource at a cloud computing center is promoted.
Description
Technical field
The present invention relates to the dynamic blending technology of virtual resource field under the cloud computing environment, relate in particular to a kind of virtual resource concocting method based on customer position information.
Background technology
Along with cloud computing is put into strategic new industry, domestic cloud computing industry begins to get into the accelerated development stage, and more and more enterprises and local government begin to build the cloud computing center, for the user provides cloud service.The process of data center's cloudization is exactly the process of implemening resource integration through Intel Virtualization Technology, through the resource virtualizing with whole data center, sets up the virtual resource pond, could realize the quick deployment of computational resource and according to dynamic allotment.
From the consideration of many factors such as globalization, disaster tolerance, the distributed deployment mode in strange land is often adopted at the cloud computing center, sets up the divided data center at diverse geographic location, between to pass through express network interconnected, shared resource.As shown in Figure 1, it is distributed regional data center resource access sketch map.Because traffic is more and more convenient, user's flowability strengthens, performance difference to some extent when causing the virtual resource of user capture diverse geographic location data center, especially transnational scene.
So the defective to above-mentioned prior art exists is necessary to study in fact, so that a kind of virtual resource concocting method based on customer position information to be provided, be the virtual resource that user's distribution locations is optimized, promote the utilization ratio of cloud computing center resources.
Summary of the invention
For addressing the above problem, the object of the present invention is to provide a kind of virtual resource concocting method and method thereof based on customer position information, think the virtual resource that user's distribution locations is optimized, promote the utilization ratio of cloud computing center resources.
For realizing above-mentioned purpose, technical scheme of the present invention is:
A kind of virtual resource concocting method based on customer position information comprises the steps:
S10: in logging request, describe user and related positional information;
S11: the master data center is collected the user and is asked the statistical information of source position, generates the marshalling plan of virtual resource according to dispatching requirement;
S12: allocate virtual resource automatically according to marshalling plan.
Further, said step S10 specifically comprises the steps:
In logging request, add positional information, the accessed resources descriptor that obtains in the slave unit position transducer; Wherein, for the request that send at the terminal that position sensing device is arranged, described positional information adopts longitude and latitude to represent, otherwise through the IP address resolution.
Further; In said step S11; Statistics of user's was visited the frequency data of different virtual resource at diverse location when cloud computing center service termination was received user's logging request, and with the input of these frequency data as dispatching requirement, generated the marshalling plan of virtual resource.
Further, in said step S12, through carrying out the virtual resource marshalling plan, virtual resource is moved to the regional data center that user capture frequency under it is higher than the configuration scheduling demand.
The virtual resource concocting method that the present invention is based on customer position information is collected the frequency information of user at diverse location visit different resource, and in view of the above virtual resource is allocated at different regional data centers automatically.According to the position statistics of user capture, be the virtual resource that user's distribution locations is optimized, promote the utilization ratio of cloud computing center resources.
Description of drawings
Fig. 1 is the distributed regional data center resource access of a prior art sketch map;
Fig. 2 is the virtual resource concocting method flow process diagram that the present invention is based on customer position information;
Fig. 3 is the virtual resource concocting method principle schematic that the present invention is based on customer position information.
Embodiment
In order to make the object of the invention, technical scheme and advantage clearer,, the present invention is further elaborated below in conjunction with accompanying drawing and embodiment.Should be appreciated that specific embodiment described herein only in order to explanation the present invention, and be not used in qualification the present invention.
Please, the present invention is based on the virtual resource concocting method of customer position information, comprise the steps: with reference to Fig. 2, shown in Figure 3
S10: in logging request, describe user and related positional information;
Wherein, in logging request, add positional information, the accessed resources descriptor that obtains in the slave unit position transducer; For the request that send at the terminal that position sensing device is arranged, described positional information adopts longitude and latitude to represent, otherwise through the IP address resolution.The request that includes location dependent information is sent to regional data center, after handling statistical information is sent to the master data center;
S11: the master data center is collected the user and is asked the statistical information of source position, generates the marshalling plan of virtual resource according to dispatching requirement;
Wherein, when cloud computing center service termination was received user's logging request, statistics of user's was visited the frequency data of different virtual resource at diverse location, and with the input of these frequency data as dispatching requirement, generates the marshalling plan of virtual resource;
S12: allocate virtual resource automatically according to marshalling plan;
Through carrying out the virtual resource marshalling plan, virtual resource is moved to the regional data center that user capture frequency under it is higher than the configuration scheduling demand.
Wherein, when generating the virtual resource marshalling plan, be not limited only to also can be directed against one group of associated virtual resource to a certain concrete virtual resource.
For making above-mentioned target of the present invention, feature and advantage more clear, understandable, below will actual to implement scene be that example describes through one.
This scene is divided into four major parts, is respectively asset creation, position change, Information Statistics, scheduled for executing.Use certain cloud stores service to be example with user User001, suppose when user User001 goes on business in Beijing to have registered the account of an online storage service through smart mobile phone.Added the positional information of obtaining through transducer in the submission request when registration:
Request.UserID = User001
Request.Location.Latitude = 39.88056
Request.Location.Longitude = 116.407839
Request.Action = Register
Request.IPAddress =?xxx.xxx.xxx.101
After request is submitted to, in the Register of server end Request Processing incident, according to the positional information in the request in nearest data center's memory allocated.
DataCenterObject?=?GetDataCenter（Request.Location）
According to the request position information of importing into, the DataCenterObject that gets access to is Beijing, and has created 3 original document folders, is respectively Work, Music, Photos.Following is the original allocation table:
| The tenant | The memory block | Affiliated data center position |
| User001 | Root/User001/ Work | Beijing |
| User001 | Root/User001/ Music | Beijing |
| User001 | Root/User001/ Photos | Beijing |
| User002 | Root/User002/ Storage01 | Shanghai |
Suppose the user User001 end of going on business, turn back to Shanghai, and on PC, carried out repeatedly login, owing to do not have position transducer on the PC, Request.Location is " unknown position ".At this moment, will be through getting access to its source location information in the service of Request.IPAddress secondary IP address source.These information will form statistical log, and Request Log is as shown in the table:
| Sequence number | The memory block | Access time | The request position |
| 1 | Root/User001/ Music | 2012-03-12 9:00 | Shanghai |
| 2 | Root/User001/ Music | 2012-03-13 11:00 | Shanghai |
| 3 | Root/User001/ Music | 2012-03-14 15:00 | Shanghai |
| 4 | Root/User001/ Photos | 2012-03-14 16:00 | Shanghai |
| ? | ? | ? | ? |
The configuration scheduling demand is wherein all sent request at same position (city) for for three days on end every day, and then being set at needs migration; With above-mentioned Request Log is example, and request is according to log statistic, and " Root/User001/ Music " catalogue meets transition condition; Then generating an operation plan carries out; After executing, the file in " Root/User001/ Music " is all moved to Shanghai data center, and the allocation table after the allotment is as follows automatically:
| The tenant | The memory block | Affiliated data center position |
| User001 | Root/User001/ Work | Beijing |
| User001 | Root/User001/ Music | Shanghai |
| User001 | Root/User001/ Photos | Beijing |
| User002 | Root/User002/ Storage01 | Shanghai |
When next User001 visits " Root/User001/ Music " once more, will directly visit the cloud storage of Shanghai data center at faster speed.
The above is merely preferred embodiment of the present invention, not in order to restriction the present invention, all any modifications of within spirit of the present invention and principle, being done, is equal to and replaces and improvement etc., all should be included within protection scope of the present invention.
Claims (4)
1. the virtual resource concocting method based on customer position information is characterized in that, comprises the steps:
S10: in logging request, describe user and related positional information;
S11: the master data center is collected the user and is asked the statistical information of source position, generates the marshalling plan of virtual resource according to dispatching requirement;
S12: allocate virtual resource automatically according to marshalling plan.
2. according to claim 1 based on the virtual resource concocting method of customer position information, it is characterized in that: said step S10 specifically comprises the steps:
In logging request, add positional information, the accessed resources descriptor that obtains in the slave unit position transducer; Wherein, for the request that send at the terminal that position sensing device is arranged, described positional information adopts longitude and latitude to represent, otherwise through the IP address resolution.
3. like the said virtual resource concocting method of claim 2 based on customer position information; It is characterized in that: in said step S11; Statistics of user's was in the frequency data of diverse location visit different virtual resource when cloud computing center service termination was received user's logging request; And, generate the marshalling plan of virtual resource with of the input of these frequency data as dispatching requirement.
4. like the said virtual resource concocting method of claim 3 based on customer position information; It is characterized in that: in said step S12; Through carrying out the virtual resource marshalling plan, virtual resource is moved to the regional data center that user capture frequency under it is higher than the configuration scheduling demand.
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Cited By (2)
| Publication number | Priority date | Publication date | Assignee | Title |
|---|---|---|---|---|
| CN107247638A (en) * | 2012-12-25 | 2017-10-13 | 华为技术有限公司 | A kind of data back up method, device and system |
| CN108075917A (en) * | 2016-11-18 | 2018-05-25 | 中兴通讯股份有限公司 | The management method and system of a kind of data center |
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| US7702843B1 (en) * | 2006-04-27 | 2010-04-20 | Vmware, Inc. | Determining memory conditions in a virtual machine |
| CN102427468A (en) * | 2011-11-01 | 2012-04-25 | 浪潮(北京)电子信息产业有限公司 | Cloud computing operating system and scheduling method thereof |
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| Publication number | Priority date | Publication date | Assignee | Title |
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| US7702843B1 (en) * | 2006-04-27 | 2010-04-20 | Vmware, Inc. | Determining memory conditions in a virtual machine |
| CN102427468A (en) * | 2011-11-01 | 2012-04-25 | 浪潮(北京)电子信息产业有限公司 | Cloud computing operating system and scheduling method thereof |
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Cited By (3)
| Publication number | Priority date | Publication date | Assignee | Title |
|---|---|---|---|---|
| CN107247638A (en) * | 2012-12-25 | 2017-10-13 | 华为技术有限公司 | A kind of data back up method, device and system |
| CN107247638B (en) * | 2012-12-25 | 2020-12-15 | 华为技术有限公司 | Data backup method, device and system |
| CN108075917A (en) * | 2016-11-18 | 2018-05-25 | 中兴通讯股份有限公司 | The management method and system of a kind of data center |
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Application publication date: 20121024 |