CN103414657A - Cross-data-center resource scheduling method, super scheduling center and system - Google Patents
Cross-data-center resource scheduling method, super scheduling center and system Download PDFInfo
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Abstract
The invention provides a cross-data-center resource scheduling method, and a super scheduling center and system. The method comprises the steps that performance data of each data center are collected; resource scheduling requests are received, the data centers of which the performance data meet the requirements are selected from all the data centers according to a preset scheduling algorithm; after resources are acquired from the selected data centers, the resources are distributed to a sender of the resource scheduling requests. The cross-data-center resource scheduling method, and the super scheduling center and system achieve the scheduling for the resources across the data centers.
Description
Technical field
The present invention relates to the scheduling of resource field, relate in particular to a kind of resource regulating method across data center, super control centre and system.
Background technology
Current, the cloud computing technology fast development.In existing cloud computing technology, after the user sends the scheduling of resource request by main frame, manage the scheduling node of this main frame and in a plurality of other main frame physical resources that it is managed simultaneously, select the main frame physical resource, and the main frame physical source distributing that will select is to the dispatch request user.The main frame set of physical resources of scheduling node management is called data center.But along with the lifting of user's request, people thirst for across data center's Gains resources, but also be at present the conceptual phase across the resource scheduling scheme of data center, have no concrete implementation.
Summary of the invention
The invention provides a kind of resource regulating method across data center, super control centre and system, how to realize the technical problem of resource being dispatched across data center to solve.
For solving the problems of the technologies described above, a kind of resource regulating method across data center of the present invention, the method comprises:
Collect the performance data of each data center;
Receive the scheduling of resource request, according to default dispatching algorithm from data center that selectivity data described each data center meet the demands;
After from the data center of selecting, getting resource, this resource is distributed to the transmit leg of described scheduling of resource request.
Further,
Described scheduling of resource request comprises the service feature parameter, and described service feature parameter comprises service priority, service quality rating;
According to default dispatching algorithm, from the data center that selectivity data described each data center meet the demands, comprising:
According to described service feature parameter selection scheduling algorithm, meet the data center of service feature parameter request from selectivity data described each data center.
For solving the problems of the technologies described above, the present invention should provide another kind of resource regulating method across data center, and described method comprises:
From each scheduling node at management data center, collect the performance data of data center;
Receive the scheduling of resource request, preset according to first scheduling node corresponding to data center that dispatching algorithm selectivity data meet the demands;
By described scheduling node, preset dispatching algorithm from selection scheduling resource the data center of its management according to second;
The scheduling resource of selection is distributed to the transmit leg of described scheduling of resource request.
Further,
Described scheduling of resource request comprises the service feature parameter, and described service feature parameter comprises service priority, service quality rating;
Described method comprises:
According to described service feature parameter, select the first default dispatching algorithm, preset according to first scheduling node corresponding to data center that dispatching algorithm selectivity data meet the demands;
According to described service feature parameter, select the second default dispatching algorithm, according to second, preset dispatching algorithm from selection scheduling resource the data center of its management by described scheduling node.
For solving the problems of the technologies described above, it is a kind of for the super control centre across data center's scheduling resource that the present invention also provides, and this super control centre comprises:
Data cell, be used to collecting the performance data of each data center;
Scheduling unit, after receiving the scheduling of resource request, according to default dispatching algorithm from data center that selectivity data each data center meet the demands; And, after from the data center of selecting, getting resource, this resource is distributed to the transmit leg of described scheduling of resource request.
Further,
Described scheduling of resource request comprises the service feature parameter, and described service feature parameter comprises service priority, service quality rating;
Described scheduling unit, comprising from the data center that each data center's selectivity parameter meets the demands for the dispatching algorithm according to default:
According to described service feature parameter selection scheduling algorithm, meet the data center of service feature parameter request from selectivity data described each data center.
For solving the problems of the technologies described above, the present invention also provides a kind of resource scheduling system across data center, and described system comprises:
Super control centre, for collecting the performance data of data center from each scheduling node at management data center; Receive the scheduling of resource request, preset according to first scheduling node corresponding to data center that dispatching algorithm selectivity data meet the demands; After receiving the resource from the scheduling node feedback, this resource is distributed to the transmit leg of this scheduling of resource request;
Scheduling node, for the management data center; And, after receiving the selection signal of super control centre, preset dispatching algorithm from selection scheduling resource the data center of its management according to second; And the scheduling resource of selection is fed back to described super control centre.
Further,
Described scheduling of resource request comprises the service feature parameter, and described service feature parameter comprises service priority, service quality rating;
Described super control centre, for according to described service feature parameter, selecting the first default dispatching algorithm, preset according to first scheduling node corresponding to data center that dispatching algorithm selectivity data meet the demands;
Described scheduling node, for according to described service feature parameter, selecting the second default dispatching algorithm, preset dispatching algorithm from selection scheduling resource the data center of its management according to second.
Technique scheme is by collecting the performance data of each data center, for the basis of having selected Resource Supply across data center, on this basis, the equipment of knowing each data center's performance data can receive the scheduling of resource request, and, from each data center, selecting the data center needed, be the assurance of having selected Resource Supply across data center.In addition, above-described embodiment also provides a kind of structure of the scheduling of resource across data center be comprised of super control centre, scheduling node.
The accompanying drawing explanation
Fig. 1 is the flow chart of the resource regulating method across data center of first embodiment of the invention;
Fig. 2 is the flow chart of the resource regulating method across data center of second embodiment of the invention;
Fig. 3 is the composition diagram of the super control centre of the present embodiment;
Fig. 4 is the composition diagram of the resource scheduling system across data center of the present embodiment;
Embodiment
For making the purpose, technical solutions and advantages of the present invention clearer, hereinafter in connection with accompanying drawing, embodiments of the invention are elaborated.It should be noted that, in the situation that do not conflict, the embodiment in the application and the feature in embodiment be combination in any mutually.
As shown in Figure 1, the flow process of the resource regulating method across data center of first embodiment of the invention is as follows:
S101 collects the performance data of each data center;
The performance data of data center can comprise the configuration of the hardware such as the CPU, internal memory of main frame in the load data, data center of data center and use information etc.;
After S102 receives the scheduling of resource request, according to default dispatching algorithm from data center that selectivity data described each data center meet the demands;
In above-mentioned scheduling of resource request, can comprise the service feature parameter, as service priority, service quality rating (QOS) etc.; After receiving the scheduling of resource request that comprises the service feature parameter, can, according to this scheduling of resource request from default dispatching algorithm, selecting the dispatching algorithm adapted with service feature, can guarantee so more to meet user's actual need according to the data center that this dispatching algorithm is selected; Dispatching algorithm can be selected the existing dispatching algorithm relevant to service feature in prior art, also can be formulated flexibly as required by those skilled in the art;
S103 receives the resource of obtaining from the data center of selecting, and this resource is distributed to the resource request transmit leg;
The resource of obtaining from data center can be the physical address of resource, at this moment, after this resource physical address is sent to the resources requesting party, accesses this physical address Gains resources by resources requesting party self;
Described resource can comprise: computational resource, Internet resources and/or storage resources.
As shown in Figure 2, the flow process of the resource regulating method across data center of second embodiment of the invention is as follows:
S201 collects the performance data of data center from each scheduling node at management data center;
S202 receives the scheduling of resource request, presets according to first scheduling node corresponding to data center that dispatching algorithm selectivity data meet the demands;
In above-mentioned scheduling of resource request, can comprise the service feature parameter, as service priority, service quality rating (QOS) etc.; After receiving the scheduling of resource request that comprises the service feature parameter, can, according to this scheduling of resource request from default dispatching algorithm, selecting the first dispatching algorithm adapted with service feature, can guarantee so more to meet user's actual need according to the data center that this dispatching algorithm is selected;
S203 presets dispatching algorithm from selection scheduling resource the data center of its management by described scheduling node according to second;
The described second default dispatching algorithm also can be determined according to the scheduling of resource request that comprises the user performance characteristic parameter; This second default dispatching algorithm can be determined according to the scheduling of resource request by scheduling node self, sends to scheduling node after also can being determined by the higher level equipment that receives the scheduling of resource request again;
Described resource can comprise: computational resource, Internet resources and/or storage resources;
S204 distributes to the scheduling resource of selection the transmit leg of described scheduling of resource request;
Can only the physical address of the scheduling resource of selection be sent to the resources requesting party, access this physical address Gains resources by resources requesting party self.
As shown in Figure 3, the super control centre of the present embodiment is composed as follows:
This super control centre comprises:
Data cell, be used to collecting the performance data of each data center;
Scheduling unit, after receiving the scheduling of resource request, according to default dispatching algorithm from data center that selectivity data each data center meet the demands; And, after from the data center of selecting, getting resource, this resource is distributed to the transmit leg of described scheduling of resource request;
The scheduling of resource request that scheduling unit receives comprises the service feature parameter, as service priority, service quality rating; This scheduling unit can be according to this service feature parameter selection scheduling algorithm, meets the data center of service feature parameter request from selectivity data described each data center.Dispatching algorithm can be selected the existing dispatching algorithm relevant to service feature in prior art, also can be formulated flexibly as required by those skilled in the art;
Scheduling unit can comprise computational resource, Internet resources and/or storage resources from the resource that the data center of selecting obtains; Scheduling unit can send to the resource of obtaining the resource request transmit leg or only the physical address of Gains resources be sent to the resource request transmit leg, follow-up after the resources requesting party receives this physical address, self accesses this address acquisition resource.
As shown in Figure 4, the resource scheduling system across data center of the present embodiment is composed as follows:
Resource scheduling system comprises super control centre and scheduling node, and super control centre can be connected by wide area network or local area network (LAN) with scheduling node.Wherein,
Super control centre, for collecting the performance data of data center from each scheduling node at management data center; Receive the scheduling of resource request, preset according to first scheduling node corresponding to data center that dispatching algorithm selectivity data meet the demands; After receiving the resource from the scheduling node feedback, this resource is distributed to the transmit leg of this scheduling of resource request;
Described scheduling of resource request comprises the service feature parameter, and described service feature parameter comprises service priority, service quality rating; The first default dispatching algorithm can be selected according to the service feature parameter by super control centre, according to the first default dispatching algorithm selection scheduling node; Dispatching algorithm can be selected the existing dispatching algorithm relevant to service feature in prior art, also can be formulated flexibly as required by those skilled in the art;
Scheduling node, for the management data center; And, after receiving the selection signal of super control centre, preset dispatching algorithm from selection scheduling resource the data center of its management according to second; And the scheduling resource of selection is fed back to described super control centre;
Scheduling node can be selected the second default dispatching algorithm according to the service feature parameter, presets dispatching algorithm from selection scheduling resource the data center of its management according to second; This second default dispatching algorithm can be determined according to the scheduling of resource request by scheduling node self, sends to scheduling node after also can being determined by the higher level equipment that receives the scheduling of resource request again;
Scheduling node can comprise computational resource, Internet resources and/or storage resources from the resource that data center obtains; Scheduling node can feed back to the resource of obtaining super control centre or only the physical address of resource be fed back to super control centre, follow-up after the resources requesting party receives this physical address, self accesses this address acquisition resource.
The invention is not restricted to the cloud computing field, other relate to across the field of data center's scheduling all can apply the present invention.
One of ordinary skill in the art will appreciate that all or part of step in said method can come the instruction related hardware to complete by program, described program can be stored in computer-readable recording medium, as read-only memory, disk or CD etc.Alternatively, all or part of step of above-described embodiment also can realize with one or more integrated circuits, and correspondingly, each the module/unit in above-described embodiment can adopt the form of hardware to realize, also can adopt the form of software function module to realize.The present invention is not restricted to the combination of the hardware and software of any particular form.
It should be noted that; the present invention also can have other various embodiments; in the situation that do not deviate from spirit of the present invention and essence thereof; those of ordinary skill in the art can make according to the present invention various corresponding changes and distortion, but these corresponding changes and distortion all should belong to the protection range of the appended claim of the present invention.
Claims (8)
1. the resource regulating method across data center, is characterized in that, the method comprises:
Collect the performance data of each data center;
Receive the scheduling of resource request, according to default dispatching algorithm from data center that selectivity data described each data center meet the demands;
After from the data center of selecting, getting resource, this resource is distributed to the transmit leg of described scheduling of resource request.
2. the method for claim 1, is characterized in that,
Described scheduling of resource request comprises the service feature parameter, and described service feature parameter comprises service priority, service quality rating;
According to default dispatching algorithm, from the data center that selectivity data described each data center meet the demands, comprising:
According to described service feature parameter selection scheduling algorithm, meet the data center of service feature parameter request from selectivity data described each data center.
3. the resource regulating method across data center, is characterized in that, described method comprises:
From each scheduling node at management data center, collect the performance data of data center;
Receive the scheduling of resource request, preset according to first scheduling node corresponding to data center that dispatching algorithm selectivity data meet the demands;
By described scheduling node, preset dispatching algorithm from selection scheduling resource the data center of its management according to second;
The scheduling resource of selection is distributed to the transmit leg of described scheduling of resource request.
4. resource regulating method as claimed in claim 3, is characterized in that,
Described scheduling of resource request comprises the service feature parameter, and described service feature parameter comprises service priority, service quality rating;
Described method comprises:
According to described service feature parameter, select the first default dispatching algorithm, preset according to first scheduling node corresponding to data center that dispatching algorithm selectivity data meet the demands;
According to described service feature parameter, select the second default dispatching algorithm, according to second, preset dispatching algorithm from selection scheduling resource the data center of its management by described scheduling node.
5. one kind for the super control centre across data center's scheduling resource, it is characterized in that, this super control centre comprises:
Data cell, be used to collecting the performance data of each data center;
Scheduling unit, after receiving the scheduling of resource request, according to default dispatching algorithm from data center that selectivity data each data center meet the demands; And, after from the data center of selecting, getting resource, this resource is distributed to the transmit leg of described scheduling of resource request.
6. super control centre as claimed in claim 5, is characterized in that,
Described scheduling of resource request comprises the service feature parameter, and described service feature parameter comprises service priority, service quality rating;
Described scheduling unit, comprising from the data center that each data center's selectivity parameter meets the demands for the dispatching algorithm according to default:
According to described service feature parameter selection scheduling algorithm, meet the data center of service feature parameter request from selectivity data described each data center.
7. the resource scheduling system across data center, is characterized in that, described system comprises:
Super control centre, for collecting the performance data of data center from each scheduling node at management data center; Receive the scheduling of resource request, preset according to first scheduling node corresponding to data center that dispatching algorithm selectivity data meet the demands; After receiving the resource from the scheduling node feedback, this resource is distributed to the transmit leg of this scheduling of resource request;
Scheduling node, for the management data center; And, after receiving the selection signal of super control centre, preset dispatching algorithm from selection scheduling resource the data center of its management according to second; And the scheduling resource of selection is fed back to described super control centre.
8. resource scheduling system as claimed in claim 7, is characterized in that,
Described scheduling of resource request comprises the service feature parameter, and described service feature parameter comprises service priority, service quality rating;
Described super control centre, for according to described service feature parameter, selecting the first default dispatching algorithm, preset according to first scheduling node corresponding to data center that dispatching algorithm selectivity data meet the demands;
Described scheduling node, for according to described service feature parameter, selecting the second default dispatching algorithm, preset dispatching algorithm from selection scheduling resource the data center of its management according to second.
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Cited By (10)
Publication number | Priority date | Publication date | Assignee | Title |
---|---|---|---|---|
CN103795804A (en) * | 2014-02-24 | 2014-05-14 | 华为技术有限公司 | Storage resource scheduling method and storage calculation system |
CN104468752A (en) * | 2014-11-26 | 2015-03-25 | 无锡成电科大科技发展有限公司 | Method and system for increasing utilization rate of cloud computing resources |
CN104579793A (en) * | 2015-01-26 | 2015-04-29 | 网宿科技股份有限公司 | Dispatching method and system for network resources |
CN106888164A (en) * | 2015-12-15 | 2017-06-23 | 阿里巴巴集团控股有限公司 | Business datum method for routing and device under being lived a kind of strange land more |
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Citations (2)
Publication number | Priority date | Publication date | Assignee | Title |
---|---|---|---|---|
CN102469023A (en) * | 2010-11-19 | 2012-05-23 | 中国移动通信集团公司 | Dispatching method, unit and system based on cloud computing |
CN103095788A (en) * | 2011-11-02 | 2013-05-08 | 佳都新太科技股份有限公司 | Cloud resource scheduling policy based on network topology |
-
2013
- 2013-08-22 CN CN2013103696570A patent/CN103414657A/en active Pending
Patent Citations (2)
Publication number | Priority date | Publication date | Assignee | Title |
---|---|---|---|---|
CN102469023A (en) * | 2010-11-19 | 2012-05-23 | 中国移动通信集团公司 | Dispatching method, unit and system based on cloud computing |
CN103095788A (en) * | 2011-11-02 | 2013-05-08 | 佳都新太科技股份有限公司 | Cloud resource scheduling policy based on network topology |
Cited By (14)
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---|---|---|---|---|
US10241835B2 (en) | 2014-02-24 | 2019-03-26 | Huawei Technologies Co., Ltd. | Scheduling storage and computing resources based on task types and service levels |
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CN107408070A (en) * | 2014-12-12 | 2017-11-28 | 微软技术许可有限责任公司 | More transaction journals in distributed memory system |
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CN104579793A (en) * | 2015-01-26 | 2015-04-29 | 网宿科技股份有限公司 | Dispatching method and system for network resources |
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CN107885594B (en) * | 2016-09-30 | 2020-06-12 | 腾讯科技(深圳)有限公司 | Distributed resource scheduling method, scheduling node and access node |
CN108540336A (en) * | 2018-02-24 | 2018-09-14 | 国家计算机网络与信息安全管理中心 | A kind of elastic telescopic dispatching method and device |
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CN110442445B (en) * | 2019-06-28 | 2022-04-22 | 苏州浪潮智能科技有限公司 | Design method and device based on computing grid in large-scale container cloud scene |
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