CN102833355B - The SiteServer LBS that a kind of facing cloud calculates and load-balancing method - Google Patents
The SiteServer LBS that a kind of facing cloud calculates and load-balancing method Download PDFInfo
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Abstract
The present invention relates to field of cloud computer technology, refer in particular to SiteServer LBS and the load-balancing method of the calculating of a kind of facing cloud.The present invention uses the mode of two-way communication to set up load sensing method between virtual machine and load-balanced server and State Feedback Approach, realizes timely feedback and the process of virtual machine state, is realized the load balancing of application by the quantity increasing and decreasing application server.The present invention is directed to the Virtual Cluster of the many application servers of a front-end server, realized the load balancing effect of application by the quantity increasing and decreasing application server; Achieve the elastification of cloud computing application; Can be applied in the load balancing of cloud computing.
Description
Technical field
The present invention relates to field of cloud computer technology, refer in particular to SiteServer LBS and the load-balancing method of the calculating of a kind of facing cloud.
Background technology
LaaS cloud computing platform: laaS integrates Distributed Calculation, network calculations, the technology such as virtual, provides the resource of unified calculating, network, storage, is supplied to user uses with the form of virtual machine.Application programs, was deployed in physical machine in the past, now direct by cloud platform uniform management, provided application deployment environment with the form of virtual machine.LaaS generally understands Open service access interface, makes user control the establishment of virtual machine, deletion, stopping, startup.
Load balancing (cluster): APD is deployed on single server, along with the continuous increase of customer volume, load pressure also constantly increases.The configuration improving server is a kind of method of dealing with problems, but the service ability of single server always has the limit; It is a kind of cost-saving for now increasing number of servers, effective solution.Load-balancing technique is exactly this method.By the load equalizer of front end, by the application server of rear end composition cluster, reach the flexible effect of application by the quantity increasing/reduce machine, even if in the face of 1,000,000, and be not all a problem to the user of millions.
A benefit of current cloud computing technology can problem that effectively settlement server utilance is low, application programs does not need Resources allocation in units of physical server again, directly can create virtual machine when needed for application program provides deployment, virtual machine can be deleted, release server resource when not needing.And load-balancing technique effectively can solve the running environment that large user measures application program harshness.
No matter deployed environment is physical machine or virtual machine, and load-balancing technique has certain deployment difficulty, and automaticity is not high, and the system manager of needs is configured by demand length by length, disposes.When user application amount is large, need manually to increase server; After customer volume reduces, same needs manually remove certain station server, then distribute other application by it.Be difficult to accomplish automation, intellectuality.
Summary of the invention
One of technical problem that the present invention solves is disposed slowly for load balancing application cluster, and load sensing and state feedback problem not in time, proposes the SiteServer LBS based on two-way communication that a kind of facing cloud calculates.
Two of the technical problem that the present invention solves is disposed slowly for load balancing application cluster, and load sensing and state feedback problem not in time, proposes the load-balancing method based on two-way communication that a kind of facing cloud calculates.
The technical scheme that the present invention one of solves the problems of the technologies described above is:
Include laaS service platform and load-balanced server;
Described laaS service platform is the supplier of virtual machine service, and opening interface realizes by load-balanced server the operation controlling virtual machine itself; Comprise the establishment to virtual machine, deletion, stopping, startup;
Described load-balanced server, is responsible for load sensing and state feedback, is carried out the increase and decrease of application server virtual machine quantity, to arrive the effect of load balancing by the interface calling laaS service platform;
Described laaS service platform includes front-end server virtual machine and application server virtual machine;
Front-end server virtual machine, as all requests from client of unified front end receiver in load balancing, and is distributed to the application server virtual machine of rear end according to the load balancing preset;
Application server virtual machine, as the bearer of load in load balancing, receives the request coming from the distribution of front-end server virtual machine, and the request of actual treatment client;
Described load-balanced server comprises laaS adapter, virtual machine receiver module and virtual machine load poller module;
LaaS adapter is responsible for the dispatching command adjusted load capacity to be converted into operational order to laaS; The order of load capacity adjustment is referred to and will improve load capacity or reduce load capacity; The operational order of laaS is referred to and will increase application server virtual machine or reduce application server virtual machine;
Virtual machine receiver module is responsible for the order of the state variation receiving self virtualizing machine, upgrades the application server virtual machine state list in load-balanced server, and makes adjustment according to feedback; The order of virtual machine state change comprises virtual machine from the application server be created to the complete state change process of startup and virtual machine from starting to the complete state change process adding application cluster of initialization;
The load information of all application server virtual machines of virtual machine load poll module in charge polling, load information comprises the pressure quantitative information of the CPU of virtual machine, internal memory, bandwidth; And whether be handed down to the order of a laaS service platform load balance ability adjustment according to load information decision and issue which kind of adjustment order.
Described laaS service platform opening interface is realized by laaS controller, provides the establishment to virtual machine, deletion, stopping, start-up operation.
The application server virtual machine of described laaS service platform comprises virtual machine state feedback module and virtual machine load acquisition module;
Virtual machine state feedback module is responsible in real time to the information of the virtual machine receiver module transmission state variation of load-balanced server one end;
Virtual machine load acquisition module is responsible for the load information obtaining virtual machine self, comprises the pressure information of the CPU of virtual machine, internal memory, bandwidth, and returns to the virtual machine load poller module of load-balanced server one end.
The present invention solve the problems of the technologies described above two technical scheme be:
Use the mode of two-way communication to set up load sensing method between virtual machine and load-balanced server and State Feedback Approach, realize timely feedback and the process of virtual machine state, realized the load balancing of application by the quantity of increase and decrease application server virtual machine.
It is the effect being reached load balancing by the quantity of increase and decrease application server virtual machine; Application server virtual machine, as a side of two-way communication, is responsible for the state information of virtual machine on the one hand, comprises and starts complete state information and the complete state information of application server software initialization, be sent to load-balanced server; Receive the poll from load-balanced server on the other hand, regularly obtain the load information of virtual machine itself, responsively information feed back is to load-balanced server.
The concrete steps of load balancing are as follows:
1st step, create a new application server virtual machine image by laaS service platform, mirror image has a virtual machine state feedback module and a virtual machine load acquisition module, and arranges this two kinds of modules starts and run;
2nd step, running load equalization server;
3rd step, by laaS service platform, uses this virtual machine image to create a Virtual Cluster with a front-end server and many application servers and applies;
4th step, two modules of virtual machine state feedback method: virtual machine state feedback module and virtual machine receiver module communicate mutually, set up the list of application server virtual machine state;
5th step, two modules of virtual machine load sensing method: virtual machine load poller module and virtual machine load acquisition module intercom mutually, constantly update the load information of application server virtual machine; Along with, the load of Virtual Cluster application constantly increases, when the load detecting whole cluster has exceeded maximum load, when the quantity needing to increase virtual machine is to improve the load capacity of whole cluster, virtual machine load poller module sends to laaS service platform and creates new application server virtual machine order; After new application server virtual machine creating completes, sent by virtual machine state feedback module and start complete state information to virtual machine receiver module, load-balanced server lists ready list in this virtual machine; After application servers initialize in new application server virtual machine, send the complete state information of initialization to virtual machine receiver module by virtual machine state feedback module, load-balanced server lists operation list in this virtual machine; Otherwise along with the load reduction of Virtual Cluster application, load-balanced server can be made adjustment according to same method.
The present invention uses the mode of two-way communication to set up load sensing between virtual machine and load-balanced server and state feedback mechanisms, achieves timely feedback and the process of virtual machine state; Achieve the automation of virtual machine, intelligent deployment.
Accompanying drawing explanation
Below in conjunction with accompanying drawing, the present invention is further described:
Fig. 1 is the load-balancing mechanism schematic diagram that the present invention is based on two-way communication;
Fig. 2 is the schematic diagram of customer instance of the present invention.
Embodiment
As shown in Figure 1, load-balanced server of the present invention, comprises a laaS adapter, a virtual machine receiver module and a virtual machine load poller module.
LaaS adapter: be responsible for the dispatching command adjusted load capacity to be converted into operational order to laaS.The order of load capacity adjustment is referred to and will improve load capacity or reduce load capacity; The quantity that will increase application server virtual machine or the quantity reducing application server virtual machine are referred to the operational order of laaS.
Virtual machine receiver module: responsible reception carrys out the order of the state variation of self virtualizing machine, upgrades the application server virtual machine state list in load-balanced server, and makes adjustment according to feedback.The order of virtual machine state change comprises virtual machine from the application server be created to the complete state change process of startup and virtual machine from starting to the complete state change process adding application cluster of initialization.
Virtual machine load poller module: the load information being responsible for all application server virtual machines of polling.The information of load, comprises the pressure quantitative information of the CPU of virtual machine, internal memory, bandwidth, and determines that whether being handed down to laaS serves the order of a responsible ability of equalization adjustment and issue which kind of adjustment order according to load information.
Front-end server virtual machine: as all requests from client of unified front end receiver in load balancing, and the application server virtual machine of rear end is distributed to according to the load balancing preset, carried out the request of actual treatment client by the application server virtual machine of rear end, reached the effect of load balancing by this mode shared.Generally carry this kind of service by Apache and Ngnix server.
Application server virtual machine: in load balancing the bearer as load, receives the request coming from front-end server distribution.Core concept of the present invention is the effect that quantity by increasing and decreasing this kind of virtual machine reaches load balancing.As a side of two-way communication, be responsible for the state information of virtual machine on the one hand, comprise and start complete state information and the complete state information of application server software initialization, be sent to responsible equalization server, receive the poll from load-balanced server on the other hand, the load information of regular acquisition virtual machine itself, responsively information feed back is to load-balanced server.
Specifically comprise the following steps:
1st step, by the application server virtual machine image that laaS service-creation one is new, mirror image has a virtual machine state feedback module and a virtual machine load acquisition module, and arranges this two kinds of module start operations.
2nd step, running load equalization server.
3rd step, is served by laaS, uses this virtual machine image to create a Virtual Cluster with the many application servers of a front-end server and applies.
4th step, two modules of virtual machine state feedback mechanism: virtual machine state feedback module and virtual machine receiver module communicate mutually, set up the list of application server virtual machine state.
5th step, two modules of virtual machine load sensing mechanism: virtual machine load poller module and virtual machine load acquisition module intercom mutually, constantly update the load information of application server virtual machine.Along with, the load of Virtual Cluster application constantly increases, the load that virtual machine load sensing mechanism has detected whole cluster has exceeded maximum load, need the quantity increasing virtual machine to improve the load capacity of whole cluster, virtual machine is responsible for poller module and is sent the new application server virtual machine order of establishment to laaS service; After new application server virtual machine creating completes, sent by virtual machine state feedback module and start complete state information to virtual machine receiver module, load-balanced server lists ready list in this virtual machine; After application servers initialize in new application server virtual machine, send the complete state information of initialization to virtual machine receiver module by virtual machine state feedback module, its this virtual machine of load balancing service lists operation list in.Otherwise along with the load reduction of Virtual Cluster application, load-balanced server can be made adjustment according to same mechanism.
Specifically, the inventive method can have multiple realization, and a kind of implementation will be introduced in this part.
See Fig. 2, the embody rule step of the SiteServer LBS that a kind of facing cloud of the present invention calculates and mechanism is as follows:
1st step, regulation virtual machine state feedback mechanism adopts Http protocol communication, because load-balanced server needs to communicate with between multiple application server virtual machine, adopts Http can avoid long connection, reduces communication overhead.Virtual machine load sensing mechanism adopts snmp protocol communication, because agreement can carry out poll, without the need to all connecting with every platform virtual machine by the mode of broadcast for this reason.By the application server virtual machine image that G-Cloud service-creation one is new, virtual machine state feedback in mirror image uses HttpSever (Tomcat) to realize, virtual machine load acquisition module uses SNMPClient to realize, and arranges this two kinds of module start operations.
2nd step, running load equalization server, the virtual machine receiver module on load-balanced server adopts HttpClient to realize, and virtual machine load poller module adopts SNMPManager instrument to realize.
3rd step, is served by G-Cloud, and uses this virtual machine image to create a Virtual Cluster application with the many application servers of a front-end server by typica software transfer Runlnstances interface.
4th step, the HttpClient on load equalizer sends request to virtual machine, and the HttpServer on virtual machine responds to confirm that virtual machine has started and initialization is complete, sets up the list of application server virtual machine state.
5th step, the SNMPManager on load-balanced server sends broadcast request and obtains load information, and after the SNMPClient response on virtual machine, load-balanced server starts the load information collecting all virtual machines.Along with, the load of Virtual Cluster application constantly increases, the load that load-balanced server has detected whole cluster has exceeded maximum load, need the quantity increasing virtual machine to improve the load capacity of whole cluster, call typica software to send to G-Cloud service and create after the new application server virtual machine creating of new application server virtual machine order Runlnstances completes, sent by the HttpServer of virtual machine and start complete state information to load-balanced server, load-balanced server lists ready list in this virtual machine; After application servers initialize in new application server virtual machine, send the complete state information of initialization to load-balanced server by the HttpServer of virtual machine, its this virtual machine of load balancing service lists operation list in.Otherwise along with the load reduction of Virtual Cluster application, load-balanced server can call EC2 Terminatelnstances interface closedown virtual machine according to same mechanism is made adjustment.
Claims (7)
1. a SiteServer LBS for facing cloud calculating, is characterized in that: include IaaS service platform and load-balanced server;
Described IaaS service platform is the supplier of virtual machine service, and opening interface realizes by load-balanced server the operation controlling virtual machine itself, comprises the establishment to virtual machine, deletion, stopping, startup;
Described load-balanced server, is responsible for load sensing and state feedback, is carried out the increase and decrease of application server virtual machine quantity, to arrive the effect of load balancing by the interface calling IaaS service platform;
Described IaaS service platform includes front-end server virtual machine and application server virtual machine;
Front-end server virtual machine, as all requests from client of unified front end receiver in load balancing, and is distributed to the application server virtual machine of rear end according to the load balancing preset;
Application server virtual machine, as the bearer of load in load balancing, receives the request coming from the distribution of front-end server virtual machine, and the request of actual treatment client;
Described load-balanced server comprises IaaS adapter, virtual machine receiver module and virtual machine load poller module;
IaaS adapter is responsible for the dispatching command adjusted load capacity to be converted into operational order to IaaS; The order of load capacity adjustment is referred to and will improve load capacity or reduce load capacity; The operational order of IaaS is referred to and will increase application server virtual machine or reduce application server virtual machine;
Virtual machine receiver module is responsible for the order of the state variation receiving self virtualizing machine, upgrades the application server virtual machine state list in load-balanced server, and makes adjustment according to feedback; The order of virtual machine state change comprises virtual machine from the application server be created to the complete state change process of startup and virtual machine from starting to the complete state change process adding application cluster of initialization;
The load information of all application server virtual machines of virtual machine load poll module in charge polling, load information comprises the pressure quantitative information of the CPU of virtual machine, internal memory, bandwidth; And whether be handed down to the order of an IaaS service platform load balance ability adjustment according to load information decision and issue which kind of adjustment order.
2. SiteServer LBS according to claim 1, is characterized in that: described IaaS service platform opening interface is realized by IaaS controller, provides the establishment to virtual machine, deletion, stopping, start-up operation.
3. SiteServer LBS according to claim 1, 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;
Virtual machine state feedback module is responsible in real time to the information of the virtual machine receiver module transmission state variation of load-balanced server one end;
Virtual machine load acquisition module is responsible for the load information obtaining virtual machine self, comprises the pressure information of the CPU of virtual machine, internal memory, bandwidth, and returns to the virtual machine load poller module of load-balanced server one end.
4. SiteServer LBS according to claim 2, 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;
Virtual machine state feedback module is responsible in real time to the information of the virtual machine receiver module transmission state variation of load-balanced server one end;
Virtual machine load acquisition module is responsible for the load information obtaining virtual machine self, comprises the pressure information of the CPU of virtual machine, internal memory, bandwidth, and returns to the virtual machine load poller module of load-balanced server one end.
5. the load-balancing method of the SiteServer LBS described in an any one of Claims 1-4, it is characterized in that: use the mode of two-way communication to set up load sensing method between virtual machine and load-balanced server and State Feedback Approach, realize timely feedback and the process of virtual machine state, realized the load balancing of application by the quantity of increase and decrease application server virtual machine.
6. load-balancing method according to claim 5, is characterized in that: be the effect being reached load balancing by the quantity of increase and decrease application server virtual machine; Application server virtual machine, as a side of two-way communication, is responsible for the state information of virtual machine on the one hand, comprises and starts complete state information and the complete state information of application server software initialization, be sent to load-balanced server; Receive the poll from load-balanced server on the other hand, regularly obtain the load information of virtual machine itself, responsively information feed back is to load-balanced server.
7. the load-balancing method according to claim 5 or 6, is characterized in that: the concrete steps of load balancing are as follows:
1st step, create a new application server virtual machine image by IaaS service platform, mirror image has a virtual machine state feedback module and a virtual machine load acquisition module, and arranges this two kinds of modules starts and run;
2nd step, running load equalization server;
3rd step, by IaaS service platform, uses this virtual machine image to create a Virtual Cluster with a front-end server and many application servers and applies;
4th step, two modules of virtual machine state feedback method: virtual machine state feedback module and virtual machine receiver module communicate mutually, set up the list of application server virtual machine state;
5th step, two modules of virtual machine load sensing method: virtual machine load poller module and virtual machine load acquisition module intercom mutually, constantly update the load information of application server virtual machine; Along with, the load of Virtual Cluster application constantly increases, when the load detecting whole cluster has exceeded maximum load, when the quantity needing to increase virtual machine is to improve the load capacity of whole cluster, virtual machine load poller module sends to IaaS service platform and creates new application server virtual machine order; After new application server virtual machine creating completes, sent by virtual machine state feedback module and start complete state information to virtual machine receiver module, load-balanced server lists ready list in this virtual machine; After application servers initialize in new application server virtual machine, send the complete state information of initialization to virtual machine receiver module by virtual machine state feedback module, load-balanced server lists operation list in this virtual machine; Otherwise along with the load reduction of Virtual Cluster application, load-balanced server can be made adjustment according to same method.
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