CN102833355A - Load balance system and cloud computing oriented mechanism - Google Patents
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Abstract
The invention relates to the technical field of cloud computing, in particular to a load balance system and a cloud computing oriented load balance mechanism. A load detection and state feedback mechanism between a virtual machine and a load balance server is established in a bidirectional communication manner, so that a state of the virtual machine can be timely fed back and processed; and load balance for application is realized by increasing or decreasing the number of application servers. Aiming at a virtual cluster with a front-end server and a plurality of application servers, the load balance system achieves the load balance effect on the application by increasing or decreasing the number of application servers; elastification of cloud computing application is realized; and the load balance system and the load balance mechanism can be applied to cloud computing load balance.
Description
Technical field
The present invention relates to the cloud computing technical field, refer in particular to a kind of SiteServer LBS and mechanism towards cloud computing.
Background technology
IaaS cloud computing platform: IaaS integrates Distributed Calculation, network calculations, technology such as virtual, and unified calculating, network, stored resource is provided, and offers the user with the form of virtual machine and uses.Application programs was deployed on the physical machine in the past, now directly by the cloud platform uniform management, with the form of virtual machine the application deployment environment was provided.IaaS generally understands the open service access interface, makes the user control the establishment of virtual machine, delete, stop, starting.
Load balancing (cluster): APD is deployed on the separate unit server, and along with the continuous increase of customer volume, load pressure also constantly increases.The configuration that improves server is a kind of method of dealing with problems, but the service ability of separate unit server always has the limit; Increase number of servers this moment is a kind of saving cost, effective solution.Load-balancing technique is exactly this method.Through the load equalizer of front end, the application server of rear end is formed cluster, the quantity through increases/minimizings machine reaches uses flexible effect, even face 1,000,000, reaches to the user of millions and all is out of question.
A benefit of the technology of cloud computing at present is the low problem of settlement server utilance effectively; It is the unit Resources allocation again with the physical server that application programs does not need; Can directly create virtual machine when needed is that application program provides deployment; Can delete virtual machine when not required, discharge server resource.And load-balancing technique can effectively solve the running environment that the large user measures the application program harshness.
No matter deployed environment is physical machine or virtual machine, and load-balancing technique all has certain deployment difficulty, and automaticity is not high, much more more to need the system manager to be configured by demand length by length, disposes.When the user application amount is big, need manually to increase server; Customer volume need manually remove certain station server after reducing equally, again it is distributed other application.Be difficult to accomplish automation, intellectuality.
Summary of the invention
One of technical problem that the present invention solves is to dispose slowly to the load balancing application cluster, and the problem that load sensing and state feedback are untimely proposes a kind of SiteServer LBS based on two-way communication towards cloud computing.
Two of the technical problem that the present invention solves is to dispose slowly to the load balancing application cluster, and the problem that load sensing and state feedback are untimely proposes a kind of load-balancing mechanism based on two-way communication towards cloud computing.
The technical scheme that the present invention one of solves the problems of the technologies described above is:
Include IaaS service platform and load-balanced server;
Described IaaS service platform is the supplier of virtual machine service, the opening interface by load-balanced server realize to virtual machine establishment, delete, stop, the operation of control virtual machine such as startup itself;
Described load-balanced server is responsible for load sensing and state feedback, carries out the increase and decrease of application server quantity through the interface that calls the IaaS service platform, to arrive effect of load balance.
Described IaaS service platform includes front-end server virtual machine and application server virtual machine;
The front-end server virtual machine receives all requests from client as unified front end in load balancing, and according to the application server virtual machine of preset load balancing strategy distribution to the rear end;
The application server virtual machine as the bearer of load, receives the request that comes from the front-end server distribution in load balancing, and actual treatment client's request.
Described load-balanced server comprises IaaS adapter, virtual machine feedback receiver module and virtual machine load poll module;
The IaaS adapter is responsible for being converted into the operational order to IaaS to the dispatching command to the load capacity adjustment; The order of load capacity adjustment referred to improve load capacity or reduce load capacity; Operational order to IaaS refers to quantity that will increase the application server virtual machine or the quantity that reduces the application server virtual machine;
Virtual machine feedback receiver module is responsible for receiving the order of the state variation of self virtualizing machine, upgrades the application server virtual machine state tabulation in the load-balanced server, and makes adjustment according to feedback; The order that virtual machine state changes comprises that virtual machine starts the state change process that finishes and the application server the virtual machine and finishes and add the state change process of application cluster from starting to initialization from being created to;
Virtual machine load poll module is responsible for the load information of all application server virtual machines of polling, and load information comprises CPU, the internal memory of virtual machine, the pressure quantitative information of bandwidth; And whether be handed down to the order of a load balance ability adjustment of IaaS service platform and issue which kind of adjustment order according to load information decision.
Described IaaS service platform opening interface realized by the IaaS controller, establishment to virtual machine is provided, deletes, stops, operation such as startup.
The application server virtual machine of described IaaS service platform comprises virtual machine state feedback module and virtual machine load acquisition module;
The virtual machine state feedback module is responsible for feeding back to the virtual machine of load-balanced server one end in real time the information of receiver module transmit status variation;
Virtual machine load acquisition module is responsible for obtaining the load information of virtual machine self, comprises CPU, the internal memory of virtual machine, the pressure information of bandwidth, and returns to the virtual machine load poll module of load-balanced server one end.
Two the technical scheme that the present invention solves the problems of the technologies described above is:
Use the mode of two-way communication to set up load sensing and state feedback mechanisms between virtual machine and the load-balanced server, realize the timely feedback and the processing of virtual machine state, realize the load balancing of application through the quantity of increase and decrease application server.
Be to reach effect of load balance through the quantity that increases and decreases the application server virtual machine; The application server virtual machine is as a side of two-way communication, is responsible on the one hand the state information of virtual machine, comprises the state information that state information that startup finishes and application server software initialization finish, and sends to responsible equalization server; Receive the poll that comes from load-balanced server on the other hand, regularly obtain the load information of virtual machine itself, feed back to load-balanced server as response message.
The concrete steps of load balancing are following:
The 1st step, create a new application server virtual machine image through the IaaS service platform, mirror image has a virtual machine state feedback module and a virtual machine load acquisition module, and this two kinds of module start operations are set;
The 2nd step, the running load equalization server;
In the 3rd step,, use this virtual machine image to create a Virtual Cluster and use with a front-end server and many application servers through the IaaS service platform;
In the 4th step, two modules of virtual machine state feedback mechanism: virtual machine state feedback module and virtual machine feedback receiver module communicate each other, set up the tabulation of application server virtual machine state;
In the 5th step, two modules of virtual machine load sensing mechanism: virtual machine load poll module and virtual machine load acquisition module intercom mutually, bring in constant renewal in the load information of application server virtual machine; Along with; The load that Virtual Cluster is used constantly increases; The load that virtual machine load sensing mechanism has detected whole cluster has surpassed maximum load; The quantity that need to increase virtual machine is when improving the load capacity of whole cluster, and virtual machine is responsible for the poll module and is sent to the IaaS service and create new application server virtual machine order; After new application server virtual machine creating is accomplished, start the state information that finishes through the transmission of virtual machine state feedback module and feed back receiver module to virtual machine, load-balanced server is listed this virtual machine in ready tabulation; After application servers initialize in the new application server virtual machine finishes, feed back receiver module through the state information that virtual machine state feedback module transmission initialization finishes to virtual machine, its this virtual machine of load balancing service is listed the operation tabulation in; Otherwise the load of using along with Virtual Cluster reduces, and load-balanced server can be made adjustment according to same mechanism.
The present invention uses the mode of two-way communication to set up load sensing and state feedback mechanisms between virtual machine and the load-balanced server, has realized the timely feedback and the processing of virtual machine state; The automation of virtual machine, the intelligent deployment have been realized.
Description of drawings
Below in conjunction with accompanying drawing the present invention is further specified:
Fig. 1 is the load-balancing mechanism sketch map that the present invention is based on two-way communication;
Fig. 2 is the sketch map of customer instance of the present invention.
Embodiment
As shown in Figure 1, load-balanced server of the present invention comprises an IaaS adapter, a virtual machine feedback receiver module and a virtual machine load poll module.
IaaS adapter: be responsible for being converted into operational order to dispatching command to the load capacity adjustment to IaaS.The order of load capacity adjustment referred to improve load capacity or reduce load capacity; Operational order to IaaS refers to quantity that will increase the application server virtual machine or the quantity that reduces the application server virtual machine.
Virtual machine feedback receiver module: responsible reception comes the order of the state variation of self virtualizing machine, upgrades the application server virtual machine state tabulation in the load-balanced server, and makes adjustment according to feedback.The order that virtual machine state changes comprises that virtual machine starts the state change process that finishes and the application server the virtual machine and finishes and add the state change process of application cluster from starting to initialization from being created to.
Virtual machine load poll module: the load information of being responsible for all application server virtual machines of polling.The information of load comprises CPU, the internal memory of virtual machine, the pressure quantitative information of bandwidth, and whether decision is handed down to the order of a responsible ability of equalization adjustment of IaaS service and issues which kind of adjustment order according to load information.
Front-end server virtual machine: in load balancing, receive all requests from client as unified front end; And according to the application server virtual machine of preset load balancing strategy distribution to the rear end; Come actual treatment client's request by the application server virtual machine of rear end, reach effect of load balance through this mode of sharing.Generally carry this kind service by Apache and Ngnix server.
Application server virtual machine: bearer, receive the request that comes from the front-end server distribution as load in load balancing.Core concept of the present invention is to reach effect of load balance through the quantity that increases and decreases this kind virtual machine.Side as two-way communication; Be responsible on the one hand the state information of virtual machine; Comprise starting the state information that the state information finish and application server software initialization finish, send to responsible equalization server, receive poll on the other hand from load-balanced server; Regularly obtain the load information of virtual machine itself, feed back to load-balanced server as response message.
Specifically may further comprise the steps:
In the 1st step, through new application server virtual machine image of IaaS service-creation, mirror image has a virtual machine state feedback module and a virtual machine load acquisition module, and this two kinds of module start operations are set.
The 2nd step, the running load equalization server.
In the 3rd step,, use this virtual machine image to create a Virtual Cluster and use with the many application servers of a front-end server through the IaaS service.
In the 4th step, two modules of virtual machine state feedback mechanism: virtual machine state feedback module and virtual machine feedback receiver module communicate each other, set up the tabulation of application server virtual machine state.
In the 5th step, two modules of virtual machine load sensing mechanism: virtual machine load poll module and virtual machine load acquisition module intercom mutually, bring in constant renewal in the load information of application server virtual machine.Along with; The load that Virtual Cluster is used constantly increases; The load that virtual machine load sensing mechanism has detected whole cluster has surpassed maximum load; The quantity that needs to increase virtual machine is to improve the load capacity of whole cluster, and virtual machine is responsible for the poll module and is sent the new application server virtual machine order of establishment to the IaaS service; After new application server virtual machine creating is accomplished, start the state information that finishes through the transmission of virtual machine state feedback module and feed back receiver module to virtual machine, load-balanced server is listed this virtual machine in ready tabulation; After application servers initialize in the new application server virtual machine finishes, feed back receiver module through the state information that virtual machine state feedback module transmission initialization finishes to virtual machine, its this virtual machine of load balancing service is listed the operation tabulation in.Otherwise the load of using along with Virtual Cluster reduces, and load-balanced server can be made adjustment according to same mechanism.
Particularly, the inventive method can have multiple realization, and a kind of implementation will be introduced in this part.
Referring to Fig. 2, the concrete applying step of a kind of SiteServer LBS and mechanism towards cloud computing of the present invention is following:
In the 1st step, regulation virtual machine state feedback mechanism adopts the Http protocol communication because load-balanced server need with a plurality of application server virtual machines between communicate by letter, adopt Http can avoid long and connect, reduce communication overhead.Virtual machine load sensing mechanism adopts snmp protocol communication, because this agreement can be carried out poll through the mode of broadcasting, need not all to connect with every virtual machine.Through new application server virtual machine image of G-Cloud service-creation; Virtual machine state feedback in the mirror image uses HttpSever (Tomcat) to realize; Virtual machine load acquisition module uses SNMP Client to realize, and this two kinds of module start operations are set.
The 2nd step, the running load equalization server, the virtual machine feedback receiver module on the load-balanced server adopts HttpClient to realize, and virtual machine load poll module adopts SNMP Manager tool implementation.
In the 3rd step,, and use this virtual machine image to create a Virtual Cluster through typica software transfer RunInstances interface and use with the many application servers of a front-end server through the G-Cloud service.
In the 4th step, the HttpClient on the load equalizer sends request to virtual machine, and the HttpServer on the virtual machine responds to confirm that virtual machine has started and initialization finishes, and sets up the tabulation of application server virtual machine state.
In the 5th step, the SNMP Manager on the load-balanced server sends broadcast request and obtains load information, and after the SNMP Client on the virtual machine replied, load-balanced server began to collect the load information of all virtual machines.Along with; The load that Virtual Cluster is used constantly increases; The load that load-balanced server has detected whole cluster has surpassed maximum load; The quantity that needs to increase virtual machine is called typica software and is sent the new application server virtual machine order RunInstances of establishment to the G-Cloud service to improve the load capacity of whole cluster; After new application server virtual machine creating was accomplished, the HttpServer through virtual machine sent and starts the state information that finishes to load-balanced server, and load-balanced server is listed this virtual machine in ready tabulation; After application servers initialize in the new application server virtual machine finished, the HttpServer through virtual machine sent state information that initialization finishes to load-balanced server, and its this virtual machine of load balancing service is listed the operation tabulation in.Otherwise the load of using along with Virtual Cluster reduces, and load-balanced server can be closed virtual machine according to the TerminateInstances interface that same mechanism is called EC2 and made adjustment.
Claims (10)
1. the SiteServer LBS towards cloud computing is characterized in that: include IaaS service platform and load-balanced server;
Described IaaS service platform is the supplier of virtual machine service, the opening interface by load-balanced server realize to virtual machine establishment, delete, stop, the operation of control virtual machine such as startup itself;
Described load-balanced server is responsible for load sensing and state feedback, carries out the increase and decrease of application server quantity through the interface that calls the IaaS service platform, to arrive effect of load balance.
2. SiteServer LBS according to claim 1 is characterized in that: described IaaS service platform includes front-end server virtual machine and application server virtual machine;
The front-end server virtual machine receives all requests from client as unified front end in load balancing, and according to the application server virtual machine of preset load balancing strategy distribution to the rear end;
The application server virtual machine as the bearer of load, receives the request that comes from the front-end server distribution in load balancing, and actual treatment client's request.
3. SiteServer LBS according to claim 1 is characterized in that: described load-balanced server comprises IaaS adapter, virtual machine feedback receiver module and virtual machine load poll module;
The IaaS adapter is responsible for being converted into the operational order to IaaS to the dispatching command to the load capacity adjustment; The order of load capacity adjustment referred to improve load capacity or reduce load capacity; The operational order of IaaS referred to will be increased the application server virtual machine or reduce the application server virtual machine;
Virtual machine feedback receiver module is responsible for receiving the order of the state variation of self virtualizing machine, upgrades the application server virtual machine state tabulation in the load-balanced server, and makes adjustment according to feedback; The order that virtual machine state changes comprises that virtual machine starts the state change process that finishes and the application server the virtual machine and finishes and add the state change process of application cluster from starting to initialization from being created to;
Virtual machine load poll module is responsible for the load information of all application server virtual machines of polling, and the information of load comprises the pressure quantitative information of the CPU of virtual machine, internal memory, bandwidth; And whether be handed down to the order of a load balance ability adjustment of IaaS service platform and issue which kind of adjustment order according to load information decision.
4. SiteServer LBS according to claim 2 is characterized in that: described load-balanced server comprises IaaS adapter, virtual machine feedback receiver module and virtual machine load poll module;
The IaaS adapter is responsible for being converted into the operational order to IaaS to the dispatching command to the load capacity adjustment; The order of load capacity adjustment referred to improve load capacity or reduce load capacity; Operational order to IaaS refers to quantity that will increase the application server virtual machine or the quantity that reduces the application server virtual machine;
Virtual machine feedback receiver module is responsible for receiving the order of the state variation of self virtualizing machine, upgrades the application server virtual machine state tabulation in the load-balanced server, and makes adjustment according to feedback; The order that virtual machine state changes comprises that virtual machine starts the state change process that finishes and the application server the virtual machine and finishes and add the state change process of application cluster from starting to initialization from being created to;
Virtual machine load poll module is responsible for the load information of all application server virtual machines of polling, and load information comprises CPU, the internal memory of virtual machine, the pressure quantitative information of bandwidth; And whether be handed down to the order of a load balance ability adjustment of IaaS service platform and issue which kind of adjustment order according to load information decision.
5. according to each described SiteServer LBS of claim 1 to 4, it is characterized in that: described IaaS service platform opening interface realized by the IaaS controller, establishment to virtual machine is provided, deletes, stops, operation such as startup.
6. according to each described SiteServer LBS of claim 1 to 4, it is characterized in that: the application server virtual machine of described IaaS service platform comprises virtual machine state feedback module and virtual machine load acquisition module;
The virtual machine state feedback module is responsible for feeding back to the virtual machine of load-balanced server one end in real time the information of receiver module transmit status variation;
Virtual machine load acquisition module is responsible for obtaining the load information of virtual machine self, comprises CPU, the internal memory of virtual machine, the pressure information of bandwidth, and returns to the virtual machine load poll module of load-balanced server one end.
7. SiteServer LBS according to claim 5 is characterized in that: the application server virtual machine of described IaaS service platform comprises virtual machine state feedback module and virtual machine load acquisition module;
The virtual machine state feedback module is responsible for feeding back to the virtual machine of load-balanced server one end in real time the information of receiver module transmit status variation;
Virtual machine load acquisition module is responsible for obtaining the load information of virtual machine self, comprises CPU, the internal memory of virtual machine, the pressure information of bandwidth, and returns to the virtual machine load poll module of load-balanced server one end.
8. the described load-balancing mechanism of each SiteServer LBS of claim 1 to 7; It is characterized in that: use the mode of two-way communication to set up load sensing and state feedback mechanisms between virtual machine and the load-balanced server; Realize the timely feedback and the processing of virtual machine state, realize the load balancing of application through the quantity of increase and decrease application server.
9. load-balancing mechanism according to claim 8 is characterized in that: be to reach effect of load balance through the quantity that increases and decreases the application server virtual machine; The application server virtual machine is as a side of two-way communication, is responsible on the one hand the state information of virtual machine, comprises the state information that state information that startup finishes and application server software initialization finish, and sends to responsible equalization server; Receive poll on the other hand, regularly obtain the load information of virtual machine itself, feed back to load-balanced server as response message from load-balanced server.
10. according to Claim 8 or 9 described load-balancing mechanisms, it is characterized in that: the concrete steps of load balancing are following:
The 1st step, create a new application server virtual machine image through the IaaS service platform, mirror image has a virtual machine state feedback module and a virtual machine load acquisition module, and this two kinds of module start operations are set;
The 2nd step, the running load equalization server;
In the 3rd step,, use this virtual machine image to create a Virtual Cluster and use with a front-end server and many application servers through the IaaS service platform;
In the 4th step, two modules of virtual machine state feedback mechanism: virtual machine state feedback module and virtual machine feedback receiver module communicate each other, set up the tabulation of application server virtual machine state;
In the 5th step, two modules of virtual machine load sensing mechanism: virtual machine load poll module and virtual machine load acquisition module intercom mutually, bring in constant renewal in the load information of application server virtual machine; Along with; The load that Virtual Cluster is used constantly increases; The load that virtual machine load sensing mechanism has detected whole cluster has surpassed maximum load; The quantity that need to increase virtual machine is when improving the load capacity of whole cluster, and virtual machine is responsible for the poll module and is sent to the IaaS service and create new application server virtual machine order; After new application server virtual machine creating is accomplished, start the state information that finishes through the transmission of virtual machine state feedback module and feed back receiver module to virtual machine, load-balanced server is listed this virtual machine in ready tabulation; After application servers initialize in the new application server virtual machine finishes, feed back receiver module through the state information that virtual machine state feedback module transmission initialization finishes to virtual machine, its this virtual machine of load balancing service is listed the operation tabulation in; Otherwise the load of using along with Virtual Cluster reduces, and load-balanced server can be made adjustment according to same mechanism.
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Citations (4)
| Publication number | Priority date | Publication date | Assignee | Title |
|---|---|---|---|---|
| EP1212680B1 (en) * | 1999-08-13 | 2007-07-04 | Sun Microsystems, Inc. | Graceful distribution in application server load balancing |
| CN102271145A (en) * | 2010-06-04 | 2011-12-07 | 国云科技股份有限公司 | Virtual computer cluster and enforcement method thereof |
| CN102427475A (en) * | 2011-12-08 | 2012-04-25 | 曙光信息产业(北京)有限公司 | Load balance scheduling system in cloud computing environment |
| CN102646062A (en) * | 2012-03-20 | 2012-08-22 | 广东电子工业研究院有限公司 | Flexible capacity enlargement method for cloud computing platform based application clusters |
-
2012
- 2012-09-22 CN CN201210356783.8A patent/CN102833355B/en active Active
Patent Citations (4)
| Publication number | Priority date | Publication date | Assignee | Title |
|---|---|---|---|---|
| EP1212680B1 (en) * | 1999-08-13 | 2007-07-04 | Sun Microsystems, Inc. | Graceful distribution in application server load balancing |
| CN102271145A (en) * | 2010-06-04 | 2011-12-07 | 国云科技股份有限公司 | Virtual computer cluster and enforcement method thereof |
| CN102427475A (en) * | 2011-12-08 | 2012-04-25 | 曙光信息产业(北京)有限公司 | Load balance scheduling system in cloud computing environment |
| CN102646062A (en) * | 2012-03-20 | 2012-08-22 | 广东电子工业研究院有限公司 | Flexible capacity enlargement method for cloud computing platform based application clusters |
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