CN102917077A - Resource allocation method in cloud computing system - Google Patents
Resource allocation method in cloud computing system Download PDFInfo
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- CN102917077A CN102917077A CN2012104728625A CN201210472862A CN102917077A CN 102917077 A CN102917077 A CN 102917077A CN 2012104728625 A CN2012104728625 A CN 2012104728625A CN 201210472862 A CN201210472862 A CN 201210472862A CN 102917077 A CN102917077 A CN 102917077A
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Abstract
The invention discloses a resource allocation method in a cloud computing system. The method comprises the following steps of: S1, obtaining the computing node parameters of computing nodes in the cloud computing system; S2, obtaining a resource need parameter according to an access request of a user; and S3, selecting the computing nodes, of which the computing node parameters meet the resource need parameter, from the cloud computing system, and allocating the resource of the selected computing nodes to the user for carrying out the access request. With the resource allocation method in the cloud computing system described by the embodiment, the resource can be allocated according to the user request in the cloud computing system, under the condition that virtual servers change frequently in the computing system, a dynamic load balancing strategy can be realized, the efficiency is improved, and the effective allocation of resource is guaranteed.
Description
Technical field
The present invention relates to the cloud computing field basically, more specifically, relates to the resource allocation methods in a kind of cloud computing system.
Background technology
There is a large amount of servers in data center, when a large number of users passes through the server at network access data center, for guaranteeing the service efficiency maximization of data center's Servers-all, on Web portal, need a load-balancing device is installed, the tabulation of save data center available server in the equipment is when a user initiates the request at visit data center, load-balancing device is assigned to the access request of different user on the different servers according to certain Request Distribution Policy.
At present, the development of general data central forward cloud computing data center, the important difference at cloud computing data center and general data center is, the server of cloud computing data center, not only comprise physical server, much be erected in addition the virtual server on the physical server, and virtual server is different from physical server, at any time dynamic creation of virtual server and destruction, the computing capability of virtual server also can be adjusted at any time, that is to say, in cloud computing data center, load-balancing device can't the good server of configured in advance tabulation, can't determine in advance the computing capability of every station server, therefore, general load-balancing device for physical server, in the applied environment of the cloud computing data center that a large amount of virtual servers and frequent dynamic change are arranged, effect that can't the proof load equilibrium.
Summary of the invention
In order to solve defective of the prior art, the invention discloses the resource allocation methods in a kind of cloud computing system, by method provided by the present invention, solved and how in cloud computing system, to have carried out the technical problem that resource is distributed.
According to an aspect of the present invention, provide the resource allocation methods in a kind of cloud computing system, described method comprises: step S1: the parameter (being the computing node parameter) of obtaining the computing node in the described cloud computing system; Step S2: according to user's access request Gains resources demand parameter; And step S3: in described cloud computing system, select the computing node parameter to meet the computing node of described resource requirement parameters, and the resource of the computing node selected is distributed to described user be used for carrying out described access request.
In the resource allocation methods in described cloud computing system, described step S1 comprises: every computing node parameter of obtaining the computing node in the described cloud computing system through the scheduled time.
In the resource allocation methods in described cloud computing system, before described step S1, described method also comprises: create in described cloud computing system and the tabulation of initialization computing node.
In the resource allocation methods in described cloud computing system, described step S1 comprises: the interface or the snmp protocol that provide by proprietary protocol, described cloud computing system, inquire about the computing node parameter of the computing node in the described cloud computing system, and with in the described computing node tabulation of described computing node parameter read-in.
In the resource allocation methods in described cloud computing system, described computing node parameter comprises: the running state parameter of described computing node, aggregate resource parameter and surplus resources parameter; Described resource requirement parameters is for carrying out the needed stock number of described access request.
In the resource allocation methods in described cloud computing system, described method also comprises: select resource allocation policy, and described step S3 comprises: select the computing node parameter to meet the computing node of described resource requirement parameters and described resource allocation policy in described cloud computing system, and the resource of the computing node selected is distributed to described user be used for carrying out described access request.
In the resource allocation methods in described cloud computing system, the resource of the computing node selected is distributed to described user be used for carrying out described access request and comprise: the address that the computing node of selecting is revised as in the target computing node address of described user's access request.
In the resource allocation methods in described cloud computing system, described resource allocation policy comprises: so that minimum strategy or so that the average strategy of the surplus resources of the computing node in the described cloud computing system of the computing node of opening in the described cloud computing system.
In the resource allocation methods in described cloud computing system, described computing node comprises physical server and virtual server.
By the resource allocation methods in the cloud computing system described in the invention, can carry out resource according to user's request in cloud computing system distributes, in the situation that virtual server frequently changes in cloud computing system, the dynamic load balancing of available realization, improved efficient, guaranteed that resource is effectively distributed.
Description of drawings
Accompanying drawing is used to provide a further understanding of the present invention, and consists of the part of specification, is used for together with embodiments of the present invention explaining the present invention, is not construed as limiting the invention.In the accompanying drawings:
Fig. 1 is the overview flow chart according to the resource allocation methods in the cloud computing system of the present invention;
Fig. 2 is the particular flow sheet according to the resource allocation methods in the cloud computing system of the present invention;
Fig. 3 is the structure chart according to the resource allocation system in the cloud computing system of the present invention.
Embodiment
Below in conjunction with accompanying drawing the preferred embodiments of the present invention are described, should be appreciated that preferred embodiment described herein only is used for description and interpretation the present invention, is not intended to limit the present invention.
Fig. 1 is the overview flow chart according to the resource allocation methods in the cloud computing system of the present invention.In Fig. 1:
Step S100: the parameter (being the computing node parameter) of obtaining the computing node in the cloud computing system.Wherein, computing node can comprise physical computing node (for example physical server) and virtual computing node (virtual server that for example creates) in physical server.The computing node parameter comprises: the running state parameter of computing node, aggregate resource parameter and surplus resources parameter.Specifically, running state parameter represents that this computing node is in running status, holding state or stopped status; The aggregate resource situation of aggregate resource Parametric Representation computing node, comprise but be limited to memory amount, disk space total amount and cpu resource total amount in this computing node etc.; The present remaining stock number of surplus resources Parametric Representation computing node includes but not limited to the memory amount that can be employed, disk space total amount and cpu resource total amount that this computing node is at this moment remaining etc.
Step S102: cloud computing system is according to user's access request (for example, accessed web page, play multimedia or execution etc.) Gains resources demand parameter.Wherein, resource requirement parameters is for carrying out the needed stock number of access request (for example required How much memory, how many disk spaces and how many cpu resources), and cloud computing system is come the Gains resources demand parameter according to the type of user's access request.
Step S104: in cloud computing system, select the computing node parameter to meet the computing node of resource requirement parameters, and the resource of the computing node selected is distributed to the user be used for carrying out access request.Which computing node is cloud computing system, judge and can carry out this access request in conjunction with the computing node parameter according to the needed stock number of user's access request, and selects this computing node and distribute to the user and carry out this access request.For example, if the user only needs browsing page, then can select the remaining memory amount that can be employed, disk space total amount and the less computing node of cpu resource total amount to carry out user's access, if and the user wants to watch video, then will select the remaining memory amount that can be employed, disk space total amount and the more computing node of cpu resource total amount, wherein, represented free memory total amount, remanence disk space total amount and the residue cpu resource total amount of surplus resources parameter is greater than the corresponding parameter in the resource requirement parameters at least.
By the resource allocation methods in the described cloud computing system of present embodiment, can carry out resource according to user's request in cloud computing system distributes, in the situation that virtual server frequently changes in cloud computing system, the dynamic load balancing of available realization, improved efficient, guaranteed that resource is effectively distributed.
Fig. 2 is the particular flow sheet according to the resource allocation methods in the cloud computing system of the present invention.In Fig. 2:
Step S200: in cloud computing system, create and the tabulation of initialization computing node.
Step S202: every computing node parameter of obtaining the computing node in the cloud computing system through the scheduled time.Be that above-mentioned steps S100 can periodically carry out.The computing node parameter comprises: the running state parameter of computing node, aggregate resource parameter and surplus resources parameter.Specifically, running state parameter represents that this computing node is in running status, holding state or stopped status; The aggregate resource situation of aggregate resource Parametric Representation computing node includes but not limited to memory amount, disk space total amount and cpu resource total amount in this computing node etc.; The present remaining stock number of surplus resources Parametric Representation computing node includes but not limited to the memory amount that can be employed, disk space total amount and cpu resource total amount that this computing node is at this moment remaining etc.
Step S204: the computing node parameter of the computing node in the inquiry cloud computing system, and with in the tabulation of computing node parameter read-in computing node.The interface that can provide by the proprietary protocol between ISSUER and the side of being queried, cloud computing system in a preferred embodiment, or snmp protocol are carried out the inquiry in this step.
Step S206: select resource allocation policy.Wherein, resource allocation policy includes but not limited to: so that minimum strategy or so that the average strategy of the surplus resources of the computing node in the cloud computing system of the computing node of opening in the cloud computing system.
Step S208: in cloud computing system, select the computing node parameter to meet the computing node of resource requirement parameters and resource allocation policy, and the resource of the computing node selected is distributed to the user be used for carrying out access request.For example, if adopted so that the minimum strategy of the computing node of opening in the cloud computing system, the resource in the computing node of then this having been opened is distributed to the user, and needn't open a computing node that is in stopped status again.If adopt so that the average strategy of the surplus resources of the computing node in the cloud computing system, then cloud computing system relatively the resource of idle computing node (for example being in the computing node of stopped status) as distributing to the user.
By the resource allocation methods in the described cloud computing system of present embodiment, can carry out resource according to user's request in cloud computing system distributes, in the situation that virtual server frequently changes in cloud computing system, the dynamic load balancing of available realization, improved efficient, guaranteed that resource is effectively distributed.In addition, by periodic queries, can the real-time update cloud computing system in the state of computing node, guaranteed real-time.By adopting resource allocation policy, can so that resource distribution mode is diversified, satisfy better the actual demand of cloud computing system.
Fig. 3 is the structure chart according to the resource allocation system in the cloud computing system of the present invention.
This example discloses the load-balancing device at a kind of facing cloud calculated data center, in this equipment, the server that data center can use, comprise physical server and virtual server, all be conceptualized as a computing node, load-balancing device is in running, the computing node tabulation of Dynamic Maintenance cloud computing data center, when certain server changes, the computer node maintenance module of load-balancing device can dynamically update the computing node tabulation, when receiving user's access request, the load balancing module of load-balancing device can according to current computing node tabulation, be determined load balancing.The load-balancing device structure of this example as shown in Figure 3.
The processing procedure of the load-balancing device at facing cloud calculated data center is as follows:
(1) after load-balancing device started, the tabulation of initialization computing node was empty table.
(2) start the computing node maintenance module, the computing node maintenance module is by the cycle of configuration, the maintenance work of circular flow computing node.
(3) content of computing node maintenance work is interface or the snmp protocol that provides by proprietary protocol, cloud operating system, and running status, resource and the load parameter of inquiry available server are recorded in the computing node tabulation.
When (4) load-balancing device was received new access request flow, load balancing module query count node listing according to running status, resource and the load parameter of each computing node in the tabulation, was chosen suitable computing node.
(5) load-balancing device is revised the address that the destination server address of access request flow is the computing node of load balancing module selection, output flow.
By the resource allocation methods in the described cloud computing system of present embodiment, can carry out resource according to user's request in cloud computing system distributes, in the situation that virtual server frequently changes in cloud computing system, the dynamic load balancing of available realization, improved efficient, guaranteed that resource is effectively distributed.
The above is the preferred embodiments of the present invention only, is not limited to the present invention, and for a person skilled in the art, the present invention can have various modifications and variations.Within the spirit and principles in the present invention all, any modification of doing, be equal to replacement, improvement etc., all should be included within protection scope of the present invention.
Claims (9)
1. the resource allocation methods in the cloud computing system is characterized in that described method comprises:
Step S1: the computing node parameter of obtaining the computing node in the described cloud computing system;
Step S2: according to user's access request Gains resources demand parameter; And
Step S3: in described cloud computing system, select the computing node parameter to meet the computing node of described resource requirement parameters, and the resource of the computing node selected is distributed to described user be used for carrying out described access request.
2. the resource allocation methods in the cloud computing system according to claim 1 is characterized in that, described step S1 comprises: every parameter of obtaining the computing node in the described cloud computing system through the scheduled time.
3. the resource allocation methods in the cloud computing system according to claim 1 is characterized in that, before described step S1, described method also comprises: create in described cloud computing system and the tabulation of initialization computing node.
4. the resource allocation methods in the cloud computing system according to claim 3, it is characterized in that, described step S1 comprises: the interface or the snmp protocol that provide by proprietary protocol, described cloud computing system, inquire about the computing node parameter of the computing node in the described cloud computing system, and with in the described computing node tabulation of described computing node parameter read-in.
5. the resource allocation methods in the cloud computing system according to claim 4 is characterized in that, described computing node parameter comprises: the running state parameter of described computing node, aggregate resource parameter and surplus resources parameter; Described resource requirement parameters is for carrying out the needed stock number of described access request.
6. the resource allocation methods in the cloud computing system according to claim 5 is characterized in that, described method also comprises: select resource allocation policy, and
Described step S3 comprises: select the computing node parameter to meet the computing node of described resource requirement parameters and described resource allocation policy in described cloud computing system, and the resource of the computing node selected is distributed to described user be used for carrying out described access request.
7. the resource allocation methods in the cloud computing system according to claim 6, it is characterized in that, the resource of the computing node selected is distributed to described user be used for carrying out described access request and comprise: the address that the computing node of selecting is revised as in the target computing node address of described user's access request.
8. the resource allocation methods in the cloud computing system described in according to claim 6, it is characterized in that described resource allocation policy comprises: so that minimum strategy or so that the average strategy of the surplus resources of the computing node in the described cloud computing system of the computing node of opening in the described cloud computing system.
9. the resource allocation methods according to claim 1-8 in each described cloud computing system is characterized in that described computing node comprises physical server and virtual server.
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Citations (4)
| Publication number | Priority date | Publication date | Assignee | Title |
|---|---|---|---|---|
| US20110238546A1 (en) * | 2010-03-29 | 2011-09-29 | Amazon Technologies, Inc. | Managing committed processing rates for shared resources |
| WO2012047451A1 (en) * | 2010-09-28 | 2012-04-12 | Amazon Technologies, Inc. | System and method for providing flexible storage and retrieval of snapshot archives |
| CN102497409A (en) * | 2011-12-08 | 2012-06-13 | 曙光信息产业(北京)有限公司 | Resource management method for cloud computing system |
| CN102591771A (en) * | 2010-11-18 | 2012-07-18 | 国际商业机器公司 | Method and device of verification of a computer program in respect to an unexpected response to an access request |
-
2012
- 2012-11-20 CN CN2012104728625A patent/CN102917077A/en active Pending
Patent Citations (4)
| Publication number | Priority date | Publication date | Assignee | Title |
|---|---|---|---|---|
| US20110238546A1 (en) * | 2010-03-29 | 2011-09-29 | Amazon Technologies, Inc. | Managing committed processing rates for shared resources |
| WO2012047451A1 (en) * | 2010-09-28 | 2012-04-12 | Amazon Technologies, Inc. | System and method for providing flexible storage and retrieval of snapshot archives |
| CN102591771A (en) * | 2010-11-18 | 2012-07-18 | 国际商业机器公司 | Method and device of verification of a computer program in respect to an unexpected response to an access request |
| CN102497409A (en) * | 2011-12-08 | 2012-06-13 | 曙光信息产业(北京)有限公司 | Resource management method for cloud computing system |
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