CN101753461A - Method for realizing load balance, load balanced server and group system - Google Patents
Method for realizing load balance, load balanced server and group system Download PDFInfo
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Abstract
The present invention discloses a group system comprising a load balanced server and at least two sub nodes, wherein the at least two sub nodes are used for respectively collecting respective various source information, and sending the source information to the load balanced server; the load balanced server is used for receiving tusk requirements and the various source information; sub nodes for processing the tusk requirements are ensured according to load balanced tactics and the various source information; and the tusk requirements are sent to the ensured sub nodes. Correspondingly, the present invention also discloses a method for realizing load balance and the load balanced server. The sub nodes for processing the tusk requirements are ensured according to the load balanced tactics and the various source information respectively sent by the at least two sub nodes in the group system, the most reasonable source distribution is realized in the group system, and flexible configuration can be realized according needs to enable the processing efficiency of the group system to improve mostly.
Description
Technical field
The present invention relates to the computer cluster technical field, more specifically, relate to a kind of method, load-balanced server and group system that realizes load balancing.
Background technology
Along with the growth of application system data volume, make data processing request and calculating strength correspondingly increase, and growing data processing request and calculating strength are had higher requirement to the scale and the disposal ability of system.In order to tackle such trend, can adopt the cluster running environment of multimachine to come collaborative work and handle various task requests, thereby reach the high concurrent purpose that merges with multisystem of single system.Simultaneously, realize the seamless expansion of system, make the increase of systematic function and hardware obtain proportional raising by cluster.
At present, most of cluster schemes all are to rely on the basis of hardware, realize a hardware cluster.But, these cluster schemes are only come the allocating task request according to the single resource in the group system, and can not realize as required disposing flexibly, cause the wasting of resources of some platforms in the cluster, reduce the disposal ability of group system, made group system can not make correct Decision of Allocation.
Summary of the invention
The objective of the invention is to: a kind of method, load-balanced server and group system that realizes load balancing is provided, be used for various resource information allocating task request, thereby realize the flexible configuration and the more effective load balancing of group system according to group system.
On the one hand, the invention provides a kind of method that realizes load balancing, this method comprises:
Load-balanced server receives task requests,
According to load balancing strategy and at least two definite child nodes of handling described task requests of various resource informations that child node sends respectively,
Described task requests is sent to the child node of determining.
On the other hand, the invention provides a kind of load-balanced server, this load-balanced server comprises:
Receiver module is used to receive task requests and at least two various resource informations that child node sends respectively;
Load balancing module is used for according to load balancing strategy and the definite child node of handling described task requests of described various resource information;
Distribution module is used for described task requests is sent to the child node of determining.
On the one hand, the present invention also provides a kind of group system again, and this group system comprises:
At least two child nodes and load-balanced server;
Wherein, described at least two child nodes are gathered various resource informations separately respectively, and described various resource informations are sent to load-balanced server, described load-balanced server receives task requests and described various resource information, determine to handle the child node of this task requests according to load balancing strategy and described various resource information, and this task requests is sent to the child node of determining.
Implement a kind of method, load-balanced server and group system of load balancing of realizing of the present invention and have following beneficial effect: the child node of determining the Processing tasks request by the various resource informations that send respectively according at least two child nodes in load balancing strategy and the cluster, in group system, realize the most rational resource allocation, thereby the load balancing of the system of realization, and can realize as required disposing flexibly, make the treatment effeciency of system obtain maximum raising.
Description of drawings
Fig. 1 is a kind of flow chart of realizing the method for load balancing of the present invention;
Fig. 2 is the embodiment one of the method for realization load balancing of the present invention;
Fig. 3 is the embodiment two of the method for realization load balancing of the present invention;
Fig. 4 is the structural representation of a kind of group system of the present invention;
Fig. 5 is the structural representation of the load-balanced server in the group system of the present invention;
Fig. 6 is the structural representation of the load balancing module in the load-balanced server of the present invention;
Fig. 7 is the embodiment one of the load-balanced server in the group system of the present invention;
Fig. 8 is the embodiment two of the load-balanced server in the group system of the present invention;
Fig. 9 is the embodiment three of the load-balanced server in the group system of the present invention.
Embodiment
For the purpose, technical scheme and the advantage that make embodiments of the invention is clearer, the present invention is described in further detail below in conjunction with accompanying drawing.
Fig. 1 is a kind of flow chart of realizing the method for load balancing of the present invention.As shown in Figure 1, this method comprises:
S101, load-balanced server receives task requests.
Owing to usually the task requests of adding type is done load balancing in group system, therefore, the task requests that receives in S101 refers to local task requests or the long-range interpolation task requests of adding.In addition, for the reliable path that provides to receive task requests to group system, the embodiment of the invention preferably adopts the point-to-point pattern of MINA (Multipurpose Infrastructure for Network Applications) to receive task requests, wherein, MINA is a web application framework of increasing income and organizing APACHE to safeguard, the user utilizes MINA can easily develop the web application of high-performance and high scalability.Certainly, the embodiment of the invention also can adopt among the JAVA other patterns based on TCP/IP socket communication modes to receive.
S102 according to load balancing strategy and at least two definite child nodes of handling this task requests of various resource informations that child node sends respectively, comprises two kinds of execution modes:
Execution mode one: handle the method for figuring and described various resource information is determined the child node of handling this task requests according to the least resource of configuration; Perhaps
Execution mode two: weighted round robin dispatching algorithm and described various resource information according to configuration are determined the child node of handling this task requests.
Need to prove, described at least two child nodes are according to time interval of configuration timing acquiring and send the various resource informations of described child node respectively, but, if the collection that child node is too frequent also sends resource information, then can influence the performance and the stability of group system, therefore, in actual applications, be that unit disposes the described time interval usually with the second.In one embodiment of the invention, can dispose this time interval is 5 seconds, and in other execution modes of the present invention, the technical staff can dispose this time interval according to actual conditions neatly on the basis of performance that satisfies group system and stability.
S103 sends to described task requests the child node of determining.
Wherein, for reliable, the path of trusting that provides to send task requests to group system, the embodiment of the invention preferably adopts the point-to-point pattern of MINA task requests to be sent to the child node of determining, certainly, also can adopt other patterns to send based on TCP/IP socket communication modes.
Below the execution mode among the S102 one is described in detail.
Execution mode one: handle the various resource informations that the method for figuring and described at least two child nodes send respectively according to the least resource of configuration and determine the child node of handling this task requests, be specially:
For each child node at least two child nodes in the group system is provided with the node weights, each resource information in the various resource informations that send respectively at least two child nodes is provided with resource value and resource load weights, and described node weights, resource value and resource load weights all can be provided with according to actual needs and be revised by the technical staff.Wherein, the task requests quantity that described resource information comprises thread utilization rate, CPU usage, memory usage and handling, certainly, execution mode one among the S102 of the embodiment of the invention is not limited to above-mentioned four kinds of resource informations, and the kind of the resource information that should consider can also be set according to actual needs by the technical staff.The disposal ability of node weight value representation node, the node weights are high more, and the disposal ability of this node is strong more, and the chance that obtains task requests is also just big more.Resource value is meant the value of described resource information.The purpose that the resource load weights are set is: every kind of resource all can obtain a numerical value when collection of resources, but because the Type-Inconsistencies of each resource, the influence that processing caused to task requests is also inconsistent, so just this numerical value need be done modification here, make each resource based on unified standard.For example, for CPU usage and these two kinds of resource informations of thread utilization rate, strengthen the resource load weights that influence that CPU handles task requests then increases the weight of CPU usage if desired, strengthen the resource load weights that influence that thread handles task requests then increases the weight of the thread utilization rate if desired;
Each child node in each child node is obtained this each child node load value separately by following processing: respectively the resource value of each resource information of this child node and resource load weights are done product and handle and obtain first end value, the first end value addition of various resource informations is obtained second end value, the node weights of this second end value and this child node are done product handle the load value that obtains this child node;
Determine the child node of handling this task requests according to the load value of each child node, particularly,, load value in each child node is met the child node that this regular child node is defined as handling this task requests according to pre-configured rule.In one embodiment of the invention, above-mentioned pre-configured rule can be to select the child node of load value minimum in this each child node, in other execution modes of the present invention, above-mentioned pre-configured rule can be to select load value time little child node in this each child node, perhaps can dispose described rule according to actual needs by the technical staff.
For example, m child node arranged in the group system, m is a natural number, the number of child node in the group system can be set according to actual needs by the technical staff, the various resource informations of each child node in this m child node have the n kind, n is a natural number, and the kind of the resource information that should consider can be set according to actual needs by the technical staff, then:
The node weights are designated as M, and the node weights of this m child node are designated as M={M
0, M
1, M
2, M
3..., M
M-1, M
iRepresent the node weights of i child node in the group system;
Resource value is designated as β, and the resource value of this n kind resource information is designated as β={ β
0, β
1, β
2, β
3..., β
N-1, β
iRepresent the resource value of i kind resource information;
The resource load weights are designated as W, and the resource load weights of this n kind resource information are designated as W={W
0, W
1, W
2, W
3..., W
N-1, W
iRepresent the resource load weights of i kind resource information;
Load value is designated as L, and the load value of this m child node is designated as L={L
0, L
1, L
2, L
3..., L
M-1, L
iRepresent the load value of i child node.
So, k in this group system (k=1,2,3 ..., m) the load value L of individual child node
kFor:
Last according to the above-mentioned rule that disposes according to actual needs by the technical staff, with L
k(k=1,2,3 ..., value m) meets the child node that this regular child node is defined as handling this task requests, particularly, can select L
k(k=1,2,3 ..., m) child node of intermediate value minimum certainly, also can be selected L for handling the child node of this task requests
k(k=1,2,3 ..., m) intermediate value time little child node is to handle the child node of this task requests, perhaps determines to handle the child node of this task requests according to other pre-configured rules.
In a kind of preferred implementation of the present invention, described resource information also comprises the information of a last task requests that disposes, when handling the child node of the method for figuring and the request of the definite processing of various resource information current task according to least resource, just can take into account the information of this last task requests that disposes.Because it is short a lot of that the time interval of resource information is gathered and sent to the processing of task requests, the time ratio child node of response, not that an order of magnitude is other, therefore, adopt this preferred implementation, even when the task requests quantity that receives increases explosively, can not appear at the situation that the task requests that in the above-mentioned time interval all is received all sends to the same child node of determining according to this algorithm and various resource information yet, can not influence the normal operation of whole group system because task requests quantity increases explosively.When child node sent various resource information once more, new resource information replaced original resource information, continue to carry out subsequently according to least resource and handled the step that the method for figuring and various resource information are determined the child node of Processing tasks request.
In addition, in the execution mode one in S102, as another kind of preferred implementation, described resource information can also comprise the state information of platform of each child node and/or the response message after each child node Processing tasks request, wherein, the state information of the platform of described child node comprises platform operate as normal and platform non-normal working, and described response message comprises handles successfully and handle failure.Before the child node of handling the method for figuring and this task requests of the definite processing of various resource information according to the least resource of configuration, the S102 step can also comprise according to described state information and/or response message judging whether there is disabled child node in described each child node, when being judged as not, continue to carry out described least resource and handle the step that the method for figuring and various resource information are determined the child node of handling described task requests according to configuration, when being judged as when being, with described disabled child node deletion, carry out described least resource then and handle the step that the method for figuring and various resource information are determined the child node of handling described task requests according to configuration.Wherein, when described state information is that platform non-normal working and/or described response message are when exceeding first threshold for the ratio of handling failure, then be judged as and have disabled child node, do not exist otherwise be judged as, wherein, described first threshold can be provided with according to the character of the task requests of described each child node processing by the technical staff, for example, for the relatively more responsive lower task requests of serious forgiveness, lower first threshold values (as 20%) can be set, for the higher task requests of serious forgiveness, higher first threshold (as 50%) can be set, certainly, described first threshold is not limited to above-mentioned two kinds of numerical value, and the technical staff can be provided with first threshold according to actual needs.Alternatively, can utilize the group administrative mechanism of the cluster communication instrument JGroup among the JAVA to delete described disabled child node.By with the deletion of disabled child node, avoided assignment error, improved the efficient that least resource is handled the method for figuring.
From the above, execution mode one among the S102 of the embodiment of the invention adopts least resource to handle the method for figuring, can be by technical staff's resource allocation information neatly according to actual needs, even when the child node handling property in the group system has nothing in common with each other, perhaps when the time that receives task requests alters a great deal, can both in group system, realize rational resource allocation.
Below the execution mode among the S102 two is done detailed explanation.
Execution mode two: the various resource informations that send respectively according to weighted round robin dispatching algorithm and at least two child nodes of configuration are determined the child node of this task requests of processing, are specially:
According to described various resource informations is that each child node in described at least two child nodes is provided with weighted value, wherein, described resource information comprises thread utilization rate, CPU usage, memory usage etc., as mentioned above, child node is according to the time interval timing acquiring that disposes and send various resource informations, therefore when child node sent various resource information once more, new resource information replaced original resource information.Certainly, the execution mode two among the S102 of the embodiment of the invention is not limited to above-mentioned three kinds of resource informations, and the kind of the resource information that should consider can also be set according to actual needs by the technical staff.Described weighted value can by the technical staff according to actual needs and described resource information be provided with;
Determine the child node of handling described task requests according to the weighted value of described each child node, wherein, weighted value is represented the disposal ability of each child node, the ratio of the child node of the Processing tasks request determined of this algorithm just of the ratio between the weighted value.For example, for the child node S={S in the group system
0, S
1, S
2..., S
N-1, n represents the number of the child node in this group system, S
0Weight be 1, S
1Weight be 5, S then
1Handle 5 subtask request S
0Just can handle once.
In addition, in the execution mode two in S102, as another kind of preferred implementation, described resource information can also comprise the state information of platform of each child node and/or the response message after each child node Processing tasks request, and before child node according to the weighted round robin dispatching algorithm that disposes and this task requests of the definite processing of various resource information, the S102 step can also comprise according to described state information and/or response message judging whether there is disabled child node in described each child node, when being judged as not, continue to carry out the described step of determining the child node of handling described task requests according to the weighted round robin dispatching algorithm and the various resource information of configuration, when being judged as when being, with described disabled child node deletion, carry out the described step of determining the child node of handling described task requests according to the weighted round robin dispatching algorithm and the various resource information of configuration then.Wherein, described state information with response message and the description in the execution mode one among the deterministic process that judges whether to exist disabled child node and the S102 identical, repeat no more herein.Alternatively, can utilize the group administrative mechanism of the cluster communication instrument JGroup among the JAVA to delete described disabled child node.By with disabled child node deletion, avoided assignment error, improved the efficient of weighted round robin dispatching algorithm.
From the above, the present invention determines that by the various resource informations that send according at least two child nodes in load balancing strategy and the cluster child node of Processing tasks request realizes the load balancing of system, can adopt least resource to handle and figure method or weighted round robin dispatching algorithm, no matter adopt which kind of algorithm to realize according to actual needs disposing neatly, in group system, realize rational resource allocation, make the treatment effeciency of system obtain maximum raising.
Fig. 2 is the embodiment one of the method for realization load balancing of the present invention.As shown in Figure 2, this method comprises:
S201, load-balanced server receives task requests.Identical among this step and Fig. 1 to the description of S101, repeat no more herein.
S202 judges whether to do load balance process, when not being judged as not, carries out S203, when being judged as when being, carries out S204.Particularly, Processing tasks processing of request amount according to described load-balanced server is judged, when the treating capacity of this load-balanced server reaches or exceeds second threshold value, illustrate that this load-balanced server can not handle the described task requests that receives, then be judged as and do load balance process, do not need to do load balance process otherwise be judged as.Wherein, described second threshold value can be provided with according to the disposal ability of load-balanced server by the technical staff, for example, handle 60 task requests if the maximum processing capability of this load-balanced server is a per minute, so in order to guarantee the even running of system, it is that per minute is handled 50 task requests that second threshold value can be set, certainly, here just illustrate, described second threshold value is not limited to this, and the technical staff can also be provided with second threshold value according to actual needs.
S203 handles described task requests by described load-balanced server.
S204 is according to load balancing strategy and at least two definite child nodes of handling described task requests of various resource informations that child node sends respectively.Identical among this step and Fig. 1 to the description of S102, repeat no more herein.
S205 sends to described task requests the child node of determining.Identical among this step and Fig. 1 to the description of S103, repeat no more herein.
The embodiment one that realizes the method for load balancing judges whether that according to the treating capacity of load-balanced server needs do load balance process, reach or exceed under the situation of second threshold value in the treating capacity of load-balanced server and just do load balance process, all do the method for load balance process compares with the task requests that all are received, can alleviate the burden of group system, accelerate the speed of service of group system.
Fig. 3 is the embodiment two of the method for realization load balancing of the present invention.As shown in Figure 3, this method comprises:
S301, load-balanced server receives task requests.Identical among this step and Fig. 1 to the description of S101, repeat no more herein.
S302 judges according to described task requests whether the destination node of this task requests is described load-balanced server, when being judged as when being, carries out S303, when being judged as not, carries out S304.Wherein, the destination node of described task requests is to be pointed out by the request message of described task requests.
S303 handles described task requests by this load-balanced server.
S304 is according to load balancing strategy and at least two definite child nodes of handling described task requests of various resource informations that child node sends respectively.Identical among this step and Fig. 1 to the description of S102, repeat no more herein.
S305 sends to this task requests the child node of determining.Identical among this step and Fig. 1 to the description of S103, repeat no more herein.
In addition, in another embodiment of the invention, after S301, and before S302, the embodiment two of the method for realization load balancing of the present invention can also comprise and judges whether to do load balance process, when being judged as not, handles described task requests by load-balanced server, when being judged as when being, carrying out and describedly judge according to task requests whether the destination node of this task requests is the step of load-balanced server.Wherein, the description of the S202 among the described concrete deterministic process that judges whether to do load balance process and Fig. 2 is identical, repeats no more herein.
The embodiment two that realizes the method for load balancing not only judges whether needing to do load balancing, to whether be that load-balanced server is judged also to the destination node of the task requests that receives, not only realized the purpose of load balancing, also satisfied particular task processing of request needs.
Fig. 4 is the structural representation of a kind of group system 1 of the present invention.As shown in Figure 4, group system 1 comprises:
Load-balanced server 10 and at least two child nodes of communicating by letter with this load-balanced server 10, comprise first child node 11, second child node 12 ..., N child node 13, wherein, N is a natural number, and the technical staff can be provided with the number of the child node in the group system according to actual needs.
Need to prove, if the too frequent collection of child node and send resource information then can influence the performance and the stability of group system, therefore, in actual applications, be that unit disposes the described time interval with the second usually.In one embodiment of the invention, can dispose this time interval is 5 seconds, and in other execution modes of the present invention, the technical staff can dispose this time interval according to actual conditions neatly on the basis of performance that satisfies group system and stability.
Load-balanced server 10 is used to receive task requests and at least two various resource informations that child node sends respectively, according to load balancing strategy and the definite child node of handling this task requests of described various resource information, and this task requests sent to the child node of determining, thereby realize load balancing.
Need to prove, in cluster 1, load-balanced server and each child node are not limited to set-up mode as shown in Figure 4, can be configured its method that can realize load balancing that makes on the child node arbitrarily, then this child node that can realize the method for load balancing arbitrarily all can be used as load-balanced server.For example, if the method that first child node 11 achieves load balancing is set, then first child node 11 also can be used as load-balanced server, when load-balanced server 10 cisco unity malfunctions, first child node 11 or other then can be set realize that arbitrarily the child node of the method for load balancing replaces load-balanced server 10 as new load-balanced server.
Elaborate the 26S Proteasome Structure and Function of the load-balanced server 10 in the group system 1 below in conjunction with Fig. 5-Fig. 8.
Fig. 5 is the structural representation of the load-balanced server 10 in the group system 1 of the present invention.As shown in Figure 5, this load-balanced server 10 comprises:
Owing to usually the task requests of adding type is done load balance process in group system, therefore, the task requests that receiver module 100 receives refers to local task requests or the long-range interpolation task requests of adding.In addition, for reliable, the path of trusting that provides to receive task requests to group system, the embodiment of the invention preferably adopts the point-to-point pattern of MINA to receive task requests, certainly, also can adopt other patterns based on TCP/IP socket communication modes to receive.
Wherein, for reliable, the path of trusting that provides to send task requests to group system, the embodiment of the invention preferably adopts the point-to-point pattern of MINA task requests to be sent to the child node of determining, certainly, also can adopt other patterns to send based on TCP/IP socket communication modes.
Fig. 6 is the structural representation of the load balancing module 101 in the load-balanced server 10 of the present invention.As shown in Figure 6, load balancing module 101 comprises:
Especially, according to mentioned above, various resource informations are regularly gathered and send at least two child nodes in the cluster respectively according to the time interval of configuration, so, whenever child node sends various resource informations, receiver module 100 receives after these resource informations, and buffer unit 1010 is just stored these resource informations and replaced original resource information simultaneously.
First determining unit 1011 is used for determining according to the various resource informations that the least resource of configuration is handled the method for figuring and buffer unit 1010 storages the child node of Processing tasks request.
Second determining unit 1012 is used for determining according to the various resource informations of the weighted round robin dispatching algorithm of configuration and buffer unit 1010 storage the child node of Processing tasks request.
In addition, in a kind of preferred implementation of the present invention, load balancing module 101 can also comprise delete cells, be used to be achieved as follows function: before the child node of first determining unit 1011 or the 1012 definite Processing tasks requests of second determining unit, the response message of handling after the described task requests according to the state information of platform of each child node in the various resource informations of storage in the buffer unit 1010 and/or each child node judges whether to exist disabled child node, when being judged as not, handle by first determining unit 1011 or second determining unit 1012, when being judged as when being, with described disabled child node deletion, handle by first determining unit 1011 or second determining unit 1012 then.Alternatively, utilize the group administrative mechanism of the cluster communication instrument JGroup among the JAVA to delete disabled child node.By with the deletion of disabled child node, avoided assignment error, improved the efficient that least resource is handled the method for figuring.
Fig. 7 is the embodiment one of the load-balanced server 10 in the group system 1 of the present invention.As shown in Figure 7, load-balanced server 10 comprises: receiver module 100, load balancing module 101, distribution module 102 and first judge module 103, wherein,
The function of receiver module 100, load balancing module 101, distribution module 102 is identical with the description in Fig. 5, repeats no more herein.
After receiver module 100 receives task requests, judge whether to do load balance process,
When being judged as not, handle described task requests by load-balanced server 10,
When being judged as when being, handle by load balancing module 101.
Fig. 8 is the embodiment two of the load-balanced server 10 in the group system 1 of the present invention.As shown in Figure 8, load-balanced server 10 comprises: receiver module 100, load balancing module 101, distribution module 102, second judge module 104, wherein,
The function of receiver module 100, load balancing module 101, distribution module 102 is identical with the description in Fig. 5, repeats no more herein.
After receiver module 100 receives task requests, judge according to described task requests whether the destination node of this task requests is load-balanced server 10,
When being judged as not, handle by load balancing module 101,
When being judged as when being, handle described task requests by load-balanced server 10.
Fig. 9 is the embodiment three of the load-balanced server 10 in the group system 1 of the present invention.As shown in Figure 9, load-balanced server 10 comprises: receiver module 100, load balancing module 101, distribution module 102, the 3rd judge module 105, wherein,
The function of receiver module 100, load balancing module 101, distribution module 102 is identical with the description in Fig. 5, repeats no more herein.
The 3rd judge module 106 is used to be achieved as follows function:
After receiver module 100 receives task requests, judge whether to do load balance process,
When being judged as not, handle described task requests by load-balanced server 10,
When being judged as when being, judge according to described task requests whether the destination node of this task requests is load-balanced server 10,
When being judged as when not being load-balanced server 10, handle by load balancing module 101,
When being judged as when being load-balanced server 10, handle described task requests by load-balanced server 10.
In sum, a kind of method that realizes load balancing of the present invention, load-balanced server and group system are determined the child node of Processing tasks request by the various resource informations that send respectively according at least two child nodes in load balancing strategy and the cluster, in group system, realize rational resource allocation, thereby the load balancing of the system of realization, has the transparency to the legacy data handling process, make clustered deploy(ment) not influence original system, and can realize as required disposing flexibly, can merge fully with platform, make the treatment effeciency of system obtain maximum raising.
By the description of above execution mode, those skilled in the art can be well understood to the present invention and can realize by the mode of software combined with hardware platform, can certainly all implement by hardware.Based on such understanding, all or part of can the embodying that technical scheme of the present invention contributes to background technology with the form of software product, this computer software product can be stored in the storage medium, as ROM/RAM, magnetic disc, CD etc., comprise that some instructions are with so that a computer equipment (can be a personal computer, server, the perhaps network equipment etc.) carry out the described method of some part of each embodiment of the present invention or embodiment.
More than disclosed only be the specific embodiment of the present invention; only be used for the present invention is illustrated; can not limit the present invention's protection range with this; those skilled in the art can carry out various modifications, variation or replacement under the prerequisite that does not break away from essence of the present invention; therefore; according to the various equivalent variations that the present invention did, still belong to the scope that the present invention is contained.
Claims (20)
1. a method that realizes load balancing is characterized in that, described method comprises:
Load-balanced server receives task requests,
According to load balancing strategy and at least two definite child nodes of handling described task requests of various resource informations that child node sends respectively,
Described task requests is sent to the child node of determining.
2. method according to claim 1 is characterized in that, the described various resource informations that send respectively according to load balancing strategy and at least two child nodes determine that the child node of handling described task requests comprises:
Handle the method for figuring and described various resource information is determined the child node of handling described task requests according to the least resource of configuration.
3. method according to claim 2 is characterized in that, described least resource according to configuration is handled the method for figuring and various resource information and determined the child node of handling described task requests and comprise:
For each child node in described at least two child nodes is provided with the node weights, for each resource information in the described various resource informations is provided with resource value and resource load weights;
Each child node in described each child node is obtained each child node load value separately by following processing: respectively the resource value of each resource information of this child node and resource load weights are done product and handle and obtain first end value, the first end value addition of various resource informations is obtained second end value, the node weights of described second end value and this child node are done product handle the load value that obtains this child node;
Determine the child node of handling described task requests according to the load value of described each child node.
4. method according to claim 3 is characterized in that, described load value according to each child node is determined the child node of handling described task requests and is:
According to pre-configured rule, load value in described each child node is met the child node that this regular child node is defined as handling described task requests.
5. method according to claim 3 is characterized in that, described resource information comprises:
The information of thread utilization rate, CPU usage, memory usage, the task requests quantity of handling and the last task requests that disposes.
6. method according to claim 5 is characterized in that,
Described resource information also comprises the response message after the state information of platform of described each child node and/or described each child node are handled described task requests;
Handle before the method for figuring and various resource information determine the child node of handling described task requests in described least resource according to configuration, the described various resource informations that send respectively according to load balancing strategy and at least two child nodes determine that the child node of the described task requests of processing also comprises:
Judge in described each child node, whether have disabled child node according to described state information and/or response message,
When not being judged as not, continue to carry out described least resource and handle the step that the method for figuring and various resource information are determined the child node of handling described task requests according to configuration,
When being judged as when being,, carrying out described least resource then and handle the step that the method for figuring and various resource information are determined the child node of handling described task requests according to configuration with described disabled child node deletion.
7. method according to claim 1 is characterized in that, the described various resource informations that send respectively according to load balancing strategy and at least two child nodes determine that the child node of handling described task requests comprises:
Weighted round robin dispatching algorithm and described various resource information according to configuration are determined the child node of handling described task requests.
8. method according to claim 7 is characterized in that, the described child node of determining the described task requests of processing according to the weighted round robin dispatching algorithm and the described various resource information of configuration comprises:
According to described various resource informations is that each child node in described at least two child nodes is provided with weighted value;
Determine the child node of handling described task requests according to the weighted value of described each child node.
9. method according to claim 7 is characterized in that, described resource information comprises:
Thread utilization rate, CPU usage, memory usage.
10. method according to claim 9 is characterized in that,
Described resource information also comprises the response message after the state information of platform of described each child node and/or described each child node are handled described task requests;
Described according to configuration the weighted round robin dispatching algorithm and before various resource information determines the child node of handling described task requests, the described various resource informations that send respectively according to load balancing strategy and at least two child nodes determine that the child node of the described task requests of processing also comprises:
Judge in described each child node, whether have disabled child node according to described state information and/or response message,
When being judged as not, continue to carry out the described step of determining the child node of handling described task requests according to the weighted round robin dispatching algorithm and the various resource information of configuration,
When being judged as when being,, carry out the described step of determining the child node of handling described task requests according to the weighted round robin dispatching algorithm and the various resource information of configuration then with described disabled child node deletion.
11. method according to claim 1, it is characterized in that, after described load-balanced server receives task requests, and before the various resource informations that send respectively according to load balancing strategy and at least two child nodes were determined to handle the child node of described task requests, described method also comprised:
Load-balanced server judges whether to do load balance process,
When being judged as not, handle described task requests by this load-balanced server,
When being judged as when being, carry out the steps that the described various resource informations that send respectively according to load balancing strategy and at least two child nodes determine to handle the child node of described task requests.
12. method according to claim 1, it is characterized in that, after described load-balanced server receives task requests, and before the various resource informations that send respectively according to load balancing strategy and at least two child nodes were determined to handle the child node of described task requests, described method also comprised:
Load-balanced server judges according to described task requests whether the destination node of this task requests is described load-balanced server,
When being judged as when being, handle described task requests by this load-balanced server,
When being judged as not, carry out described according to load balancing strategy and at least two definite steps of handling the child node of described task requests of various resource informations that child node sends respectively.
13. method according to claim 12, it is characterized in that, after described load-balanced server receives task requests, and before whether the destination node of judging this task requests according to task requests was described load-balanced server, described method also comprised:
Load-balanced server judges whether to do load balance process,
When being judged as not, handle described task requests by this load-balanced server,
When being judged as when being, carrying out and describedly judge according to task requests whether the destination node of this task requests is the step of described load-balanced server.
14. a load-balanced server is characterized in that, described load-balanced server comprises:
Receiver module is used to receive task requests and at least two various resource informations that child node sends respectively;
Load balancing module is used for according to load balancing strategy and the definite child node of handling described task requests of described various resource information;
Distribution module is used for described task requests is sent to the child node of determining.
15. load-balanced server according to claim 14 is characterized in that, described load balancing module comprises:
Buffer unit is used to store the various resource informations that at least two child nodes that described receiver module receives send respectively;
First determining unit is used for handling the method for figuring and described various resource information is determined the child node of handling described task requests according to the least resource of configuration; Perhaps
Second determining unit is used for determining the child node of handling described task requests according to the weighted round robin dispatching algorithm and the described various resource information of configuration.
16. load-balanced server according to claim 15 is characterized in that, described load balancing module also comprises:
Delete cells is used to be achieved as follows function:
Judge in described each child node, whether have disabled child node according to the response message that the state information of the platform of each child node in the various resource informations of storing in the described buffer unit and/or each child node are handled after the described task requests,
When being judged as not, handle by described first determining unit or described second determining unit,
When being judged as when being,, handle by described first determining unit or described second determining unit then described disabled child node deletion.
17. load-balanced server according to claim 14 is characterized in that, described load-balanced server also comprises:
First judge module is used to be achieved as follows function:
After described receiver module receives task requests, judge whether to do load balance process,
When being judged as not, handle described task requests by this load-balanced server,
When being judged as when being, handle by described first determining unit or described second determining unit.
18. load-balanced server according to claim 14 is characterized in that, described load-balanced server also comprises:
Second judge module is used to be achieved as follows function:
After described receiver module receives task requests, judge according to described task requests whether the destination node of this task requests is described load-balanced server,
When being judged as not, handle by described first determining unit or described second determining unit,
When being judged as when being, handle described task requests by this load-balanced server.
19. load-balanced server according to claim 14 is characterized in that, described load-balanced server also comprises:
The 3rd judge module is used to be achieved as follows function:
After described receiver module receives task requests, judge whether to do load balance process,
When being judged as not, handle described task requests by this load-balanced server,
When being judged as when being, judge according to described task requests whether the destination node of this task requests is described load-balanced server,
When being judged as when not being described load-balanced server, handle by described first determining unit or described second determining unit,
When being judged as when being described load-balanced server, handle described task requests by this load-balanced server.
20. a group system is characterized in that, comprising: at least two child nodes and as any described load-balanced server in the claim 14 to 19;
Wherein, described at least two child nodes are gathered various resource informations separately respectively, and described various resource informations are sent to load-balanced server, described load-balanced server receives task requests and described various resource information, determine to handle the child node of this task requests according to load balancing strategy and described various resource information, and this task requests is sent to the child node of determining.
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