CN105207818A - Node control method and device - Google Patents
Node control method and device Download PDFInfo
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- CN105207818A CN105207818A CN201510613749.8A CN201510613749A CN105207818A CN 105207818 A CN105207818 A CN 105207818A CN 201510613749 A CN201510613749 A CN 201510613749A CN 105207818 A CN105207818 A CN 105207818A
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Abstract
The invention discloses a node control method and device. The node control method includes the steps that status information uploaded by a control node at a first preset period is received; whether the load of the control node exceeds a preset threshold value is judged according to the status information; if yes, the corresponding weight of the control node is adjusted to be smaller so that when a computation node and a network node which are connected with the control node acquire the status information at a second preset period and preset time is exceeded due to delay, the computation node and the network node can be connected to a new control node according to a preset node selection algorithm, wherein the weight is acquired according to the status information of the control node. According to the node control method and device, the computation node and the network node can acquire the status information of the control node through a monitoring node, and then the better control node is automatically selected for connection according to the status information of the control node, so that node management complexity is lowered, and network work efficiency is improved.
Description
Technical field
The present invention relates to technical field of the computer network, particularly relate to a kind of control method and device of node.
Background technology
In current computer network, primarily of computing node and network node and Controlling vertex composition.In order to improve concurrent capability and the availability of node, the control cluster by many motors control node composition carries out load balancing, bears various control task.Controlling cluster when controlling computing node and network node, needing initiatively connect and manage all computing nodes and network node, control cluster also needs self carrying out complicated cluster management work simultaneously.
At present, control the method for building up of cluster and mainly on main controlled node, manually add multiple Controlling vertex, and provide a unified IP address to be connected with network node for computing node to computing node and network node.Particularly, first computing node and network node are connected with control cluster by unified IP address.After successful connection, main controlled node is from the Controlling vertex controlling to select a Controlling vertex to connect as this cluster.Control command can be sent to corresponding computing node or network node according to control task by this Controlling vertex.
But computing node and network node are in by the driver's seat completely in link control procedure, and control clustering functionality complexity, need record and manage a large amount of nodes.When the Controlling vertex be connected with computing node and network node lost efficacy, control computing node and network node that cluster needs initiatively adapter correspondence, the information of Controlling vertex may be caused to issue delay, and network operating efficiency reduced.Meanwhile, when controlling cluster and crossing over 3 network domains, the mode of unified IP address is adopted may to cause normally working.In addition, when the network capacity extension, the connection of computing node and network node cannot dynamic conditioning.
Summary of the invention
The present invention is intended to solve one of technical problem in correlation technique at least to a certain extent.For this reason, one object of the present invention is the control method proposing a kind of node, computing node and network node can be allowed to obtain the state information of Controlling vertex by monitor node, and then automatically select more excellent Controlling vertex to connect according to the state information of Controlling vertex, reduce node administration complexity, improve network operating efficiency.
Second object of the present invention is the control device proposing a kind of node.
To achieve these goals, first aspect present invention embodiment proposes a kind of control method of node, comprising: receive the state information that Controlling vertex is uploaded with the first predetermined period; Judge whether the load of described Controlling vertex exceedes predetermined threshold value according to described state information; If exceed, then turn down the weight of corresponding described Controlling vertex, to make the computing node that is connected with described Controlling vertex and network node when obtaining described state information with the second predetermined period, after being delayed over Preset Time, described computing node and network node are connected to new Controlling vertex according to default node selection algorithm, wherein, described weight obtains according to the state information of described Controlling vertex.
The control method of the node of the embodiment of the present invention, by the state information uploaded with the first predetermined period according to the Controlling vertex received, judge whether the load of Controlling vertex exceedes predetermined threshold value, and when the load of Controlling vertex exceedes predetermined threshold value, and after being delayed over Preset Time, computing node and network node can be connected to new Controlling vertex according to default node selection algorithm, make computing node more excellent Controlling vertex automatically can be selected to be connected according to the state information of Controlling vertex with network node, reduce node administration complexity, improve network operating efficiency.
Second aspect present invention embodiment proposes a kind of control device of node, comprising: collection module, uploads state information for receiving Controlling vertex with the first predetermined period; Judge module, for judging according to described state information whether the load of described Controlling vertex exceedes predetermined threshold value; Control module, for when the load of described Controlling vertex exceedes described predetermined threshold value, turn down the weight of corresponding described Controlling vertex, to make the computing node that is connected with described Controlling vertex and network node when obtaining described state information with the second predetermined period, after being delayed over Preset Time, described computing node and network node are connected to new Controlling vertex according to default node selection algorithm, and wherein, described weight obtains according to the state information of described Controlling vertex.
The control device of the node of the embodiment of the present invention, by the state information uploaded with the first predetermined period according to the Controlling vertex received, judge whether the load of Controlling vertex exceedes predetermined threshold value, and when the load of Controlling vertex exceedes predetermined threshold value, and after being delayed over Preset Time, computing node and network node can be connected to new Controlling vertex according to default node selection algorithm, make computing node more excellent Controlling vertex automatically can be selected to be connected according to the state information of Controlling vertex with network node, reduce node administration complexity, improve network operating efficiency.
Accompanying drawing explanation
Fig. 1 is the flow chart of the control method of node according to an embodiment of the invention.
Fig. 2 is the structural representation one of the control device of node according to an embodiment of the invention.
Fig. 3 is the structural representation two of the control device of node according to an embodiment of the invention.
Fig. 4 is the effect schematic diagram of Controlling vertex, computing node and network node, monitor node network consisting.
Embodiment
Be described below in detail embodiments of the invention, the example of described embodiment is shown in the drawings, and wherein same or similar label represents same or similar element or has element that is identical or similar functions from start to finish.Be exemplary below by the embodiment be described with reference to the drawings, be intended to for explaining the present invention, and can not limitation of the present invention be interpreted as.
Below with reference to the accompanying drawings control method and the device of the node of the embodiment of the present invention are described.
Fig. 1 is the flow chart of the control method of node according to an embodiment of the invention.
As shown in Figure 1, the control method of node can comprise:
S101, receives the state information that Controlling vertex is uploaded with the first predetermined period.
Wherein, the first predetermined period can be and presets, and such as Controlling vertex can upload once the state information of self each hour.State information can comprise the number of nodes etc. of cpu busy percentage, memory usage, connection.
According to state information, S102, judges whether the load of Controlling vertex exceedes predetermined threshold value.
After receiving the state information that Controlling vertex uploads, can judge whether the load of Controlling vertex exceedes predetermined threshold value according to state information.For example, the cpu busy percentage 90% of certain Controlling vertex, and be continued above 10 minutes, then can determine this Controlling vertex overburden.
S103, if exceed, then turn down the weight of corresponding Controlling vertex, to make the computing node that is connected with Controlling vertex and network node when obtaining state information with the second predetermined period, after being delayed over Preset Time, computing node and network node are connected to new Controlling vertex according to default node selection algorithm.
Particularly, if the load of Controlling vertex exceedes predetermined threshold value, then can disconnect a computing node and network node at random, to reduce the load of this Controlling vertex, namely turn down the weight of this Controlling vertex.Wherein, Controlling vertex weight by self state information calculate obtain.Such as: weight can be determined separately by cpu busy percentage, suppose that the cpu busy percentage of Controlling vertex is 95%, then the weight of this Controlling vertex is then 95, has exceeded predetermined threshold value 90, then this Controlling vertex overload is described, then can reduces the load of this Controlling vertex.
Again such as: weight also can be determined by cpu busy percentage and memory usage two parameters jointly, and both proportion is identical.Suppose that cpu busy percentage is 90%, memory usage 80%, then the weight of this Controlling vertex then equals cpu busy percentage 90%*50%+ memory usage 80%*50%=85.
Should be understood that, the computational methods of weight are not limited only to the method that above-mentioned example is mentioned.
And computing node and network node can obtain the state information of Controlling vertex by monitor node with the second predetermined period, or obtained the state information of Controlling vertex by monitor node with triggering mode.Such as, computing node and network node can obtain the state information of Controlling vertex for every 10 minutes.When the load that computing node and network node get the Controlling vertex of connection exceedes predetermined threshold value, namely Controlling vertex is in busy state, can postpone Preset Time.If exceed Preset Time, this Controlling vertex is still in busy state, then computing node and network node can be connected to new Controlling vertex according to default node selection algorithm.For example, computing node and network node and current Controlling vertex connection delay have exceeded the regular hour, then computing node and network node can reselect the Controlling vertex that in the nearest Controlling vertex of physical location, internal memory is maximum and be connected.
Wherein, default node selection algorithm can comprise the Controlling vertex that in the selection Controlling vertex nearest with own physical position, internal memory is maximum.Physical location obtains by the host name of Controlling vertex, and the main frame of such as Controlling vertex is called c1.stack2.pod3.zone1.bj, then can learn that the physical location of this Controlling vertex is first area, Pekinese.
In addition, in the first predetermined period, if do not receive the state information that Controlling vertex is uploaded, then the Controlling vertex of correspondence is labeled as inefficacy, the computing node be connected with the Controlling vertex made with lost efficacy and network node, when obtaining state information with the second predetermined period, are connected to new Controlling vertex according to default node selection algorithm.
For example, in one hour, if do not receive the state information that Controlling vertex uploads, then this Controlling vertex can be labeled as inefficacy.After being got with the computing node that is connected of Controlling vertex lost efficacy and network node the information that this Controlling vertex lost efficacy by monitor node, the Controlling vertex that in the nearest Controlling vertex of physical location, internal memory is maximum can be reselected and connect.
In addition, when there being new Controlling vertex to add network, monitor node can mark it, and is kept in local data, such as, be kept in local node listing.
In addition, when computing node and network node are according to default node selection algorithm connection control node, prioritizing selection is positioned at the Controlling vertex of the same area.
The control method of the node of the embodiment of the present invention, by the state information uploaded with the first predetermined period according to the Controlling vertex received, judge whether the load of Controlling vertex exceedes predetermined threshold value, and when the load of Controlling vertex exceedes predetermined threshold value, and after being delayed over Preset Time, computing node and network node can be connected to new Controlling vertex according to default node selection algorithm, make computing node more excellent Controlling vertex automatically can be selected to be connected according to the state information of Controlling vertex with network node, reduce node administration complexity, improve network operating efficiency.
For achieving the above object, the present invention also proposes a kind of control device of node.
Fig. 2 is the structural representation one of the control device of node according to an embodiment of the invention.
As shown in Figure 2, the control device of this node can comprise: collection module 110, judge module 120 and control module 130.
Collection module 110 uploads state information for receiving Controlling vertex with the first predetermined period.Wherein, the first predetermined period can be and presets, and such as Controlling vertex can upload once the state information of self each hour.State information can comprise the number of nodes etc. of cpu busy percentage, memory usage, connection.
Judge module 120 is for judging according to described state information whether the load of described Controlling vertex exceedes predetermined threshold value.
After receiving the state information that Controlling vertex uploads, according to state information, judge module 120 can judge whether the load of Controlling vertex exceedes predetermined threshold value.For example, the cpu busy percentage 90% of certain Controlling vertex, and be continued above 10 minutes, then can determine this Controlling vertex overburden.
Control module 130 is for when the load of described Controlling vertex exceedes described predetermined threshold value, turn down the weight of corresponding described Controlling vertex, to make the computing node that is connected with described Controlling vertex and network node when obtaining described state information with the second predetermined period, after being delayed over Preset Time, described computing node and network node are connected to new Controlling vertex according to default node selection algorithm, wherein, described weight obtains according to the state information of described Controlling vertex.
Particularly, if the load of Controlling vertex exceedes predetermined threshold value, control module 130 can disconnect a computing node and network node at random, to reduce the load of this Controlling vertex, namely turns down the weight of this Controlling vertex.Wherein, Controlling vertex weight by self state information calculate obtain.Such as: weight can be determined separately by cpu busy percentage, suppose that the cpu busy percentage of Controlling vertex is 95%, then the weight of this Controlling vertex is then 95, has exceeded predetermined threshold value 90, then this Controlling vertex overload is described, then can reduces the load of this Controlling vertex.
Again such as: weight also can be determined by cpu busy percentage and memory usage two parameters jointly, and both proportion is identical.Suppose that cpu busy percentage is 90%, memory usage 80%, then the weight of this Controlling vertex then equals cpu busy percentage 90%*50%+ memory usage 80%*50%=85.
Should be understood that, the computational methods of weight are not limited only to the method that above-mentioned example is mentioned.
And computing node and network node can obtain the state information of Controlling vertex by monitor node with the second predetermined period, or obtained the state information of Controlling vertex by monitor node with triggering mode.Such as, computing node and network node can obtain the state information of Controlling vertex for every 10 minutes.When the load that computing node and network node get the Controlling vertex of connection exceedes predetermined threshold value, namely Controlling vertex is in busy state, can postpone Preset Time.If exceed Preset Time, this Controlling vertex is still in busy state, then computing node and network node can be connected to new Controlling vertex according to default node selection algorithm.For example, computing node and network node and current Controlling vertex connection delay have exceeded the regular hour, then computing node and network node can reselect the Controlling vertex that in the nearest Controlling vertex of physical location, internal memory is maximum and be connected.
Wherein, default node selection algorithm can comprise the Controlling vertex that in the selection Controlling vertex nearest with own physical position, internal memory is maximum.Physical location obtains by the host name of Controlling vertex, and the main frame of such as Controlling vertex is called c1.stack2.pod3.zone1.bj, then can learn that the physical location of this Controlling vertex is first area, Pekinese.
In addition, as shown in Figure 3, the control device of the node of the embodiment of the present invention also can comprise mark module 140.
Mark module 140 is used in described first predetermined period, if do not receive the state information that described Controlling vertex is uploaded, then the described Controlling vertex of correspondence is labeled as inefficacy, the described computing node be connected with the described Controlling vertex made with lost efficacy and network node, when obtaining described state information with the second predetermined period, are connected to new Controlling vertex according to described default node selection algorithm.
For example, in one hour, if do not receive the state information that Controlling vertex uploads, then this Controlling vertex can be labeled as inefficacy by mark module 140.After being got with the computing node that is connected of Controlling vertex lost efficacy and network node the information that this Controlling vertex lost efficacy by monitor node, the Controlling vertex that in the nearest Controlling vertex of physical location, internal memory is maximum can be reselected and connect.
Certainly, when there being new Controlling vertex to add network, mark module 140 also can mark it, and is kept in local data, such as, be kept in local node listing.
Fig. 4 is the effect schematic diagram of Controlling vertex, computing node and network node, monitor node network consisting.
Workflow can as shown in Figure 4 particularly:
First, Controlling vertex 100 uploads state information with the first predetermined period to all monitor nodes 300.Wherein, the first predetermined period can be and presets, and such as Controlling vertex can upload once the state information of self each hour.State information can comprise the number of nodes etc. of cpu busy percentage, memory usage, connection.
Then, according to the state information received, monitor node 300 judges whether the load of Controlling vertex 100 exceedes predetermined threshold value, if exceed, then reduces the weight of corresponding Controlling vertex 100.For example, the cpu busy percentage 90% of certain Controlling vertex, and be continued above 10 minutes, then can determine this Controlling vertex overburden.Monitor node 300 can disconnect a computing node and network node 200 at random, to reduce the load of this Controlling vertex, namely reduces the weight of this Controlling vertex.Wherein, Controlling vertex weight by self state information calculate obtain.
And computing node and network node 200 can obtain the state information of Controlling vertex 100 by monitor node 300 with the second predetermined period, or obtained the state information of Controlling vertex 100 by monitor node 300 with triggering mode.Such as, computing node and network node can obtain the state information of Controlling vertex for every 10 minutes.When the load that computing node and network node 200 get the Controlling vertex 100 of connection exceedes predetermined threshold value, namely Controlling vertex 100 is in busy state, can postpone Preset Time.If exceed Preset Time, this Controlling vertex 100 is still in busy state, then computing node and network node 200 can be connected to new Controlling vertex 100 according to default node selection algorithm.For example, computing node and network node 200 have exceeded the regular hour with current Controlling vertex 100 connection delay, then computing node and network node 200 can reselect the Controlling vertex that in the nearest Controlling vertex of physical location, internal memory is maximum and be connected.
In addition, in the first predetermined period, if monitor node 300 does not receive the state information that Controlling vertex 100 is uploaded, then the Controlling vertex 100 of correspondence is labeled as inefficacy, the computing node be connected with the Controlling vertex 100 made and lost efficacy and network node 200, when obtaining state information with the second predetermined period, are connected to new Controlling vertex 100 according to default node selection algorithm.
In addition, when computing node and network node 200 are according to default node selection algorithm connection control node 100, prioritizing selection is positioned at the Controlling vertex 100 of the same area.Meanwhile, each region all can arrange a monitor node 300, effectively can solve Controlling vertex and to lose efficacy the control cluster difficult management caused, the problem that operating efficiency reduces.
The control device of the node of the embodiment of the present invention, by the state information uploaded with the first predetermined period according to the Controlling vertex received, judge whether the load of Controlling vertex exceedes predetermined threshold value, and when the load of Controlling vertex exceedes predetermined threshold value, and after being delayed over Preset Time, computing node and network node can be connected to new Controlling vertex according to default node selection algorithm, make computing node more excellent Controlling vertex automatically can be selected to be connected according to the state information of Controlling vertex with network node, reduce node administration complexity, improve network operating efficiency.
In describing the invention, it will be appreciated that, term " " center ", " longitudinal direction ", " transverse direction ", " length ", " width ", " thickness ", " on ", D score, " front ", " afterwards ", " left side ", " right side ", " vertically ", " level ", " top ", " end " " interior ", " outward ", " clockwise ", " counterclockwise ", " axis ", " radial direction ", orientation or the position relationship of the instruction such as " circumference " are based on orientation shown in the drawings or position relationship, only the present invention for convenience of description and simplified characterization, instead of indicate or imply that the device of indication or element must have specific orientation, with specific azimuth configuration and operation, therefore limitation of the present invention can not be interpreted as.
In addition, term " first ", " second " only for describing object, and can not be interpreted as instruction or hint relative importance or imply the quantity indicating indicated technical characteristic.Thus, be limited with " first ", the feature of " second " can express or impliedly comprise at least one this feature.In describing the invention, the implication of " multiple " is at least two, such as two, three etc., unless otherwise expressly limited specifically.
In the present invention, unless otherwise clearly defined and limited, the term such as term " installation ", " being connected ", " connection ", " fixing " should be interpreted broadly, and such as, can be fixedly connected with, also can be removably connect, or integral; Can be mechanical connection, also can be electrical connection; Can be directly be connected, also indirectly can be connected by intermediary, can be the connection of two element internals or the interaction relationship of two elements, unless otherwise clear and definite restriction.For the ordinary skill in the art, above-mentioned term concrete meaning in the present invention can be understood as the case may be.
In the present invention, unless otherwise clearly defined and limited, fisrt feature second feature " on " or D score can be that the first and second features directly contact, or the first and second features are by intermediary indirect contact.And, fisrt feature second feature " on ", " top " and " above " but fisrt feature directly over second feature or oblique upper, or only represent that fisrt feature level height is higher than second feature.Fisrt feature second feature " under ", " below " and " below " can be fisrt feature immediately below second feature or tiltedly below, or only represent that fisrt feature level height is less than second feature.
In the description of this specification, specific features, structure, material or feature that the description of reference term " embodiment ", " some embodiments ", " example ", " concrete example " or " some examples " etc. means to describe in conjunction with this embodiment or example are contained at least one embodiment of the present invention or example.In this manual, to the schematic representation of above-mentioned term not must for be identical embodiment or example.And the specific features of description, structure, material or feature can combine in one or more embodiment in office or example in an appropriate manner.In addition, when not conflicting, the feature of the different embodiment described in this specification or example and different embodiment or example can carry out combining and combining by those skilled in the art.
Although illustrate and describe embodiments of the invention above, be understandable that, above-described embodiment is exemplary, can not be interpreted as limitation of the present invention, and those of ordinary skill in the art can change above-described embodiment within the scope of the invention, revises, replace and modification.
Claims (8)
1. a control method for node, is characterized in that, comprises the following steps:
Receive the state information that Controlling vertex is uploaded with the first predetermined period;
Judge whether the load of described Controlling vertex exceedes predetermined threshold value according to described state information;
If exceed, then turn down the weight of corresponding described Controlling vertex, to make the computing node that is connected with described Controlling vertex and network node when obtaining described state information with the second predetermined period, after being delayed over Preset Time, described computing node and network node are connected to new Controlling vertex according to default node selection algorithm, wherein, described weight obtains according to the state information of described Controlling vertex.
2. the method for claim 1, is characterized in that, also comprises:
In described first predetermined period, if do not receive the state information that described Controlling vertex is uploaded, then the described Controlling vertex of correspondence is labeled as inefficacy, the described computing node be connected with the described Controlling vertex made with lost efficacy and network node, when obtaining described state information with the second predetermined period, are connected to new Controlling vertex according to described default node selection algorithm.
3. the method for claim 1, is characterized in that, described default node selection algorithm comprises selects the Controlling vertex that in the Controlling vertex nearest with own physical position, internal memory is maximum.
4. method as claimed in claim 3, it is characterized in that, described physical location is obtained by the host name of described Controlling vertex.
5. a control device for node, is characterized in that, comprising:
Collection module, uploads state information for receiving Controlling vertex with the first predetermined period;
Judge module, for judging according to described state information whether the load of described Controlling vertex exceedes predetermined threshold value;
Control module, for when the load of described Controlling vertex exceedes described predetermined threshold value, turn down the weight of corresponding described Controlling vertex, to make the computing node that is connected with described Controlling vertex and network node when obtaining described state information with the second predetermined period, after being delayed over Preset Time, described computing node and network node are connected to new Controlling vertex according to default node selection algorithm, and wherein, described weight obtains according to the state information of described Controlling vertex.
6. device as claimed in claim 5, it is characterized in that, described device also comprises:
Mark module, for in described first predetermined period, if do not receive the state information that described Controlling vertex is uploaded, then the described Controlling vertex of correspondence is labeled as inefficacy, the described computing node be connected with the described Controlling vertex made with lost efficacy and network node, when obtaining described state information with the second predetermined period, are connected to new Controlling vertex according to described default node selection algorithm.
7. device as claimed in claim 5, is characterized in that, described default node selection algorithm comprises selects the Controlling vertex that in the Controlling vertex nearest with own physical position, internal memory is maximum.
8. device as claimed in claim 7, it is characterized in that, described physical location is obtained by the host name of described Controlling vertex.
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CN107426038A (en) * | 2017-09-12 | 2017-12-01 | 郑州云海信息技术有限公司 | The distributed cluster system and collecting method of a kind of gathered data |
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CN106776984A (en) * | 2016-12-02 | 2017-05-31 | 航天星图科技(北京)有限公司 | A kind of cleaning method of distributed system mining data |
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