CN111629046B - Edge computing cooperation method, edge computing equipment and terminal - Google Patents
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- H04L67/10—Protocols in which an application is distributed across nodes in the network
- H04L67/1001—Protocols in which an application is distributed across nodes in the network for accessing one among a plurality of replicated servers
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Abstract
The invention provides an edge calculation cooperation method, which comprises the following steps: the nodes in the edge computing node group judge whether the load value of the node exceeds a shunting threshold value according to the application request; and if so, redirecting the application request to a node corresponding to the minimum load value in the edge computing node group. Correspondingly, an edge computing device and a terminal are also provided. The method can realize the dynamic balance of the real-time load of each node of the edge computing node group.
Description
Technical Field
The present invention relates to the field of communications technologies, and in particular, to an edge computing coordination method, an edge computing device, and a terminal.
Background
The edge computing nodes are close to the user side, the number of the edge computing nodes is large, the edge computing nodes are influenced by cost and demand factors, and the configuration of computing and storage capacity of a single edge computing node is low, so that the condition of load unbalance of the edge computing nodes is easy to occur, for example, a user aggregation is caused when a certain area carries out large-scale activities, and the problem that the edge computing nodes in the area exceed the processing capacity but the peripheral edge computing nodes are still in a normal or light load state due to the surge of mobile terminal requests is caused.
Disclosure of Invention
The present invention provides an edge computing cooperation method, an edge computing device and a terminal to achieve dynamic load balancing of each node of an edge computing node group in real time, in order to solve the above-mentioned deficiencies of the prior art.
In a first aspect, an embodiment of the present invention provides an edge computation coordination method, including: the nodes in the edge computing node group judge whether the load value of the node exceeds a shunting threshold value according to the application request; and if so, redirecting the application request to a node corresponding to the minimum load value in the edge computing node group.
Preferably, the determining, by a node in the edge computing node group, whether the load value of the node exceeds the offloading threshold according to the application request includes: the node receives an application request; inquiring the load value of the node in a load information table; and judging whether the load value of the node exceeds a shunting threshold value or not.
Preferably, the redirecting the application request to the node corresponding to the minimum load value in the edge computing node group includes: querying a load information table to determine a node address corresponding to a minimum load value in the edge computing node group; and sending a redirection message to the application request initiator, wherein the redirection message comprises a connection reestablishment requirement and a node address corresponding to the minimum load value, so that the application request initiator reestablishes connection to the node address corresponding to the minimum load value.
Preferably, before the node receives the application request, the edge computing cooperation further includes: constructing a load information table of the node, wherein the load information table comprises node addresses and load values of all nodes of the edge computing node group and corresponding relations between the node addresses and the load values; and periodically updating the load value in the load information table according to the preset time length.
Preferably, the constructing the load information table of the node specifically includes: calculating the load value of the node; receiving node addresses and load values thereof sent by other nodes of the edge computing node group; and storing the load value of the node, the node addresses sent by other nodes and the load values thereof into a load information table of the node.
Preferably, the calculating the load value of the node specifically includes: acquiring the connection quantity and the task processing time length in a preset time length; calculating the connection quantity in unit time and the average task processing time in unit time according to preset time; calculating the load value of the node:
where NL represents the load value of a node, C represents the number of connections per unit time of a node, CmaxMaximum limit of number of connections per unit time, C, representing nodemaxThe value of (A) is determined according to the edge computing network and the node capability, P represents the average task processing duration of the node in unit time, PmaxRepresenting the maximum limit of the mean task processing duration per unit time, P, of a nodemaxIs determined according to the maximum time delay tolerable by the application, WCAnd WPRepresent the weights of C and P, respectively, and WC+WP＝1。
Preferably, the periodically updating the load value in the load information table according to the preset time period specifically includes: periodically calculating the latest load value of the node according to a preset time period, updating the load value of the node into the latest load value in a load information table stored in the node, and broadcasting the node address and the latest load value of the node to other nodes in the edge calculation node group; receiving addresses of all nodes and latest load values of the addresses of all nodes periodically sent by other nodes in the edge computing node group according to a preset time period; and updating the latest load values sent by other nodes in the edge computing node group into a load information table.
In a second aspect, an embodiment of the present invention provides an edge computing device, which includes a determining module and a redirecting module. And the judging module is used for judging whether the load value of the node exceeds the shunting threshold value according to the application request. And the redirection module is connected with the judgment module and used for redirecting the application request to the node corresponding to the minimum load value in the edge computing node group when the judgment result output by the judgment module is yes.
Preferably, the edge computing device further comprises a building module and an updating module. And the building module is connected with the judging module and used for building a load information table of the node, and the load information table comprises node addresses and load values of all nodes of the edge computing node group and the corresponding relation between the node addresses and the load values. And the updating module is connected with the constructing module and used for periodically updating the load value in the load information table according to the preset time.
In a third aspect, an embodiment of the present invention provides a terminal, including a memory and a processor, where the memory stores a computer program, and the processor is configured to run the computer program to implement the edge computing coordination method in the first aspect.
In the edge computing cooperation method provided by the embodiment of the invention, when the judgment result is that the current load value of the edge computing node exceeds the shunting threshold, the application request is redirected to the edge computing node corresponding to the current minimum load value, so that the dynamic balance of the real-time load of each node of the edge computing node group is realized.
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FIG. 1: a flow chart of an edge computing cooperation method in embodiment 1 of the present invention;
FIG. 2: is a structural diagram of an edge computing device of embodiment 2 of the present invention;
FIG. 3: is a structural diagram of a terminal of embodiment 3 of the present invention.
Detailed Description
In order to make those skilled in the art better understand the technical solution of the present invention, an edge calculation cooperation method, an edge calculation device and a terminal according to the present invention are described in further detail below with reference to the accompanying drawings and embodiments.
Example 1:
the present embodiment provides an edge computing cooperation method, which is implemented by each node in an edge computing node cluster, where the edge computing node cluster is composed of a plurality of local edge computing nodes. As shown in fig. 1, the method includes:
In this embodiment, when a new application request is connected to a certain node in the edge computing node group, the node receives the new application request, queries the load value of the node in the load information table, and determines whether the load value of the node exceeds the shunting threshold. The value of the shunting threshold value can be set according to the requirement of the user on the application response speed.
And 102, redirecting the application request to a node corresponding to the minimum load value in the edge computing node group when the judgment result is yes.
In this embodiment, when the determination result is that the load value of the node exceeds the shunting threshold, the load information table is queried to screen out the minimum load value, and further, a node address corresponding to the minimum load value in the edge computing node group is determined; and sending a redirection message to the application request initiator, wherein the redirection message comprises a connection reestablishment requirement and a node address corresponding to the minimum load value, so that the application request initiator reestablishes connection to the node address corresponding to the minimum load value. And when the judgment result is that the load value of the node does not exceed the shunting threshold, the node processes the application request. The load information table comprises load values of all nodes of the edge computing node group, and the load information table is inquired in two modes, wherein one mode is to inquire the load information table from the central cloud platform, and the other mode is to inquire the load information table from the node. The offload threshold may be stored in the central cloud platform or in a configuration parameter table of the edge computing network. When the offload threshold is stored in the configuration parameter table of the edge computing network, the configuration parameter table is maintained in each node of the edge computing node cluster.
Optionally, before the node receives the application request, the edge computing cooperation method further includes steps 11 to 12:
and 11, constructing a load information table of the node, wherein the load information table comprises node addresses and load values of all nodes of the edge computing node group and the corresponding relation between the node addresses and the load values.
In this embodiment, after the edge computing network is established, all nodes of the edge computing node group need to establish the load information table. Or when a node is newly added in the edge computing node group, the newly added node needs to construct a load information table. Thus, in each node of the cluster of edge computing nodes, a table of load information about the load of all nodes within the cluster is stored and maintained. Optionally, the load information table further includes node identifiers of nodes in the edge computing node group, and a corresponding relationship between the node identifiers and the load values.
The specific steps for constructing the load information table comprise the following steps:
in step 1101, the load value of the node is calculated.
Specifically, the connection number of the node and the task processing time within the preset time are obtained. The value of the preset time length can be set according to the user requirement, and the value of the preset time length is stored in a configuration parameter table maintained by each node. The task processing duration is the time difference between the event that the node receives the application processing request and the event that the node returns the processing result after the processing is finished. The local node can set a clock trigger according to the preset time length, and the acquired connection quantity and the task processing time length of the local node are written into the temporary storage area in each time period of the preset time length. For example, the preset time length is set to 20 minutes, the node acquires that the number of applications requesting to be connected to the node is 5 within 20 minutes, that is, the connection number is 5, and the task processing time lengths of the 5 applications are 10 minutes, 3 minutes, 8 minutes, 15 minutes, and 18 minutes, respectively, and stores the acquired data in the temporary storage area.
And then, calculating the connection quantity in unit time and the average task processing time in unit time according to the preset time. The value per unit time may be set to minutes or seconds. For example, the value of the unit time is set to be minutes, when the preset time length is reached, the node reads the data in the temporary storage area, the connection number of the unit time is calculated to be 0.25, and the average task processing time length of the unit time is 0.54 minutes.
Further, the load value of the node is calculated according to the following model:
where NL represents the load value of a node, C represents the number of connections per unit time of a node, CmaxMaximum limit of number of connections per unit time, C, representing nodemaxThe value of (A) is determined according to the edge computing network and the node capability, P represents the unit time average task processing duration of the node, PmaxRepresenting the maximum limit of the mean task processing duration per unit time, P, of a nodemaxIs determined according to the maximum delay tolerable by the application, WCAnd WPRespectively represent the weights of C and P, WCAnd WPThe numerical value of (W) is determined according to the influence degree of two factors of the connection quantity and the task processing time length on the network load condition respectively, and WC+WP＝1。
In the present embodiment, according to the above example, the calculated value of C is 0.25, the value of P is 0.54, and Cmax、Pmax、WC、WPAll the values are set known values, and the load value of the node can be calculated according to the model.
Step 1102, receiving node addresses and load values thereof sent by other nodes of the edge computing node group.
In this embodiment, the other nodes in the edge computing node group compute their own load values according to step 1001, and broadcast their own node addresses and their own load values to the other nodes, so as to implement real-time sharing of their own load levels with all nodes in the edge computing node group, so as to facilitate decision-making and judgment of application distribution by the other nodes.
Step 1103, the load value of the node, the node addresses sent by other nodes, and the load values thereof are stored in the load information table of the node.
In this embodiment, the calculated load value of the local node, and the received node addresses and the load values thereof sent by the other nodes are stored in the load information table of the local node.
And step 12, periodically updating the load value in the load information table according to the preset time.
In this embodiment, the preset durations in the configuration parameter tables of all nodes of the edge computing node group are set to be the same value, so that the update periods of all nodes are the same to ensure that the update times of all nodes are synchronous. For example, when the value of the preset time duration is set to 20 minutes as exemplified above, all the nodes in the edge computing node group compute their own load values every 20 minutes, and update all the load values in the load information table once.
The method for periodically updating the load value in the load information table according to the preset time specifically comprises the following steps:
step 1201, periodically calculating the latest load value of the node according to a preset time period, updating the load value of the node to the latest load value in a load information table stored in the node, traversing the nodes in the load information table, and broadcasting the node address and the latest load value of the node to other nodes in the edge calculation node group.
Step 1202, receiving addresses of nodes and latest load values of the addresses periodically sent by other nodes in the edge computing node group according to a preset time period.
Step 1203, updating the latest load values sent by other nodes in the edge computing node group into the load information table.
In this embodiment, the load values in the load information table are periodically updated according to the preset time duration, so that the load values in the load information table stored by all the nodes in the edge computing node group are kept as the latest load value, and when the value of the preset time duration is set to be infinitesimal, the latest load value represents the real-time load value of the node.
In the edge computation cooperative method provided by this embodiment, in the load value computation model adopted, the load value of the node is measured based on the connection number of the applications and the task processing duration of the applications, and compared with the load value measured based on the physical capability of the node, the load value computed by this model is more consistent with the actual processing capability of the edge computation node; the load value of the node is comprehensively measured based on two factors of the connection data and the task processing time, and the measured angle is more comprehensive, so that the load level of the node is more accurately reflected; the load value of the node is calculated based on the ratio of the connection number to the limit value of the connection number and the ratio of the task processing time length to the limit value of the task processing time length, compared with the method that the load value is calculated based on the connection number and the task processing time length, the model can quantify two factors, so that the balance matching of all the factors is carried out, the calculation result is not easily affected by any condition with inconsistent two measurement standards, and the calculation result of the load value is more accurate. The latest load value of the nodes of the edge computing node group is shared in real time, so that the nodes can be compared with the shunt threshold according to the latest load value, real-time dynamic load balance among the edge computing node group is achieved, edge computing cooperative processing is completed, resources of all the nodes are reasonably distributed, processing efficiency can be improved, response speed of application is improved, and user experience is improved.
Example 2:
as shown in fig. 2, the present embodiment provides an edge computing device, which includes a determining module 21 and a redirecting module 22.
And the judging module 21 is configured to judge whether the load value of the node exceeds the offloading threshold according to the application request. And the redirecting module 22 is connected to the judging module 21, and is configured to redirect the application request to a node corresponding to a minimum load value in the edge computing node group when the judgment result output by the judging module is that the load value of the node exceeds the shunting threshold. When the judgment result is that the load value of the node is less than or equal to the offloading threshold, the judgment module 21 does not trigger the redirection module 22.
Optionally, the edge computing device further comprises a building module 23 and an updating module 24. And the building module 23 is connected to the judging module 21 and configured to build a load information table of the node, where the load information table includes node addresses and load values of nodes in the edge computing node group, and a corresponding relationship between the node addresses and the load values. And the updating module 24 is connected with the constructing module 23 and is used for periodically updating the load value in the load information table according to the preset time length.
Example 3:
as shown in fig. 3, the present embodiment provides a terminal, which includes a memory 31 and a processor 32, wherein the memory 31 stores a computer program, and the processor 32 is configured to run the computer program to implement the edge calculation coordination method described in embodiment 1.
The memory 31 is connected to the processor 32, the memory 31 may be a flash memory, a read-only memory or other memories, and the processor 32 may be a central processing unit or a single chip microcomputer.
It will be understood that the above embodiments are merely exemplary embodiments taken to illustrate the principles of the present invention, which is not limited thereto. It will be apparent to those skilled in the art that various modifications and improvements can be made without departing from the spirit and substance of the invention, and these modifications and improvements are also considered to be within the scope of the invention.
Claims (6)
1. An edge computing cooperation method, comprising:
constructing a load information table of the node, wherein the load information table comprises node addresses and load values of all nodes of the edge computing node group and corresponding relations between the node addresses and the load values;
periodically updating the load value in the load information table according to a preset time length;
the nodes in the edge computing node group judge whether the load value of the node exceeds a shunting threshold value according to the application request;
if so, redirecting the application request to a node corresponding to the minimum load value in the edge computing node group,
the constructing of the load information table of the node specifically includes:
calculating the load value of the node;
receiving node addresses and load values thereof sent by other nodes of the edge computing node group;
storing the load value of the node, the node addresses sent by other nodes and the load values thereof into the load information table of the node,
the calculating the load value of the node specifically includes: acquiring the connection quantity and the task processing time length in a preset time length;
calculating the connection quantity in unit time and the average task processing time in unit time according to preset time;
calculating the load value of the node:
where NL represents the load value of a node, C represents the number of connections per unit time of a node, CmaxMaximum limit of number of connections per unit time, C, representing nodemaxThe value of (A) is determined according to the edge computing network and the node capability, P represents the average task processing duration of the node in unit time, PmaxRepresenting the maximum limit of the mean task processing duration per unit time, P, of a nodemaxIs determined according to the maximum time delay tolerable by the application, WCAnd WPRepresent the weights of C and P, respectively, and WC+WP＝1。
2. The edge computing coordination method according to claim 1, wherein the determining, by a node in the edge computing node group according to an application request, whether a load value of the node exceeds a offload threshold includes:
the node receives an application request;
inquiring the load value of the node in a load information table;
and judging whether the load value of the node exceeds a shunting threshold value or not.
3. The edge computing coordination method according to claim 2, wherein the redirecting the application request to the node corresponding to the minimum load value in the edge computing node group comprises:
querying a load information table to determine a node address corresponding to a minimum load value in the edge computing node group;
and sending a redirection message to the application request initiator, wherein the redirection message comprises a connection reestablishment requirement and a node address corresponding to the minimum load value, so that the application request initiator reestablishes connection to the node address corresponding to the minimum load value.
4. The edge computing coordination method according to claim 3, wherein the periodically updating the load value in the load information table according to the preset time period specifically comprises:
periodically calculating the latest load value of the node according to a preset time period, updating the load value of the node into the latest load value in a load information table stored in the node, and broadcasting the node address and the latest load value of the node to other nodes in the edge calculation node group;
receiving addresses of all nodes and latest load values of the addresses of all nodes periodically sent by other nodes in the edge computing node group according to a preset time period;
and updating the latest load values sent by other nodes in the edge computing node group into a load information table.
5. An edge computing device comprising a determination module, a redirection module, a construction module, and an update module,
a judging module for judging whether the load value of the node exceeds the shunting threshold value according to the application request,
a redirection module connected with the judgment module and used for redirecting the application request to the node corresponding to the minimum load value in the edge computing node group when the judgment result output by the judgment module is yes,
the building module is connected with the judging module and used for building a load information table of the node, the load information table comprises node addresses and load values of all nodes of the edge computing node group and the corresponding relation between the node addresses and the load values,
the updating module is connected with the constructing module and is used for periodically updating the load value in the load information table according to the preset time length,
a building module, which is specifically used for calculating the load value of the node, receiving the node addresses and the load values thereof sent by other nodes of the edge calculation node group, storing the load value of the node, the node addresses and the load values thereof sent by other nodes into the load information table of the node,
a construction module, which is used for acquiring the connection number and the task processing time length in the preset time length, calculating the connection number in unit time and the average task processing time length in unit time according to the preset time length,
calculating the load value of the node:
where NL represents the load value of a node, C represents the number of connections per unit time of a node, CmaxMaximum limit of number of connections per unit time, C, representing nodemaxThe value of (A) is determined according to the edge computing network and the node capability, P represents the average task processing duration of the node in unit time, PmaxRepresenting the maximum limit of the mean task processing duration per unit time, P, of a nodemaxCan be selected according to the applicationMaximum delay tolerated, WCAnd WPRepresent the weights of C and P, respectively, and WC+WP＝1。
6. A terminal comprising a memory and a processor, characterized in that the memory has stored therein a computer program, the processor being arranged to execute the computer program to implement the method according to any of claims 1-4.
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| 资源适应型多粒度负载的均衡机制及应用研究;刘明铭;《中国博士学位论文全文数据库信息科技辑》;20140630;全文 * |
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