CN111010348A - Link resource load balancing method, device, equipment and storage medium - Google Patents
Link resource load balancing method, device, equipment and storage medium Download PDFInfo
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- CN111010348A CN111010348A CN201911397992.5A CN201911397992A CN111010348A CN 111010348 A CN111010348 A CN 111010348A CN 201911397992 A CN201911397992 A CN 201911397992A CN 111010348 A CN111010348 A CN 111010348A
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- H—ELECTRICITY
- H04—ELECTRIC COMMUNICATION TECHNIQUE
- H04L—TRANSMISSION OF DIGITAL INFORMATION, e.g. TELEGRAPHIC COMMUNICATION
- H04L47/00—Traffic control in data switching networks
- H04L47/10—Flow control; Congestion control
- H04L47/12—Avoiding congestion; Recovering from congestion
- H04L47/125—Avoiding congestion; Recovering from congestion by balancing the load, e.g. traffic engineering
Abstract
The application discloses a link resource load balancing method, a device, equipment and a storage medium, wherein the method comprises the following steps: when hash distribution is carried out on each trunk member port, scoring is carried out on the resource use evaluation of each trunk member port through a minimum resource priority scheduling strategy algorithm; calculating the specific gravity value of each trunk member port according to the score of the resource use evaluation; and comparing the calculated specific gravity values, and finding out the proper trunk member port for service scheduling. When trunk member port distribution in the message forwarding process is carried out, the resource scheduling strategy is adopted on the basis of Hash, the flow load of the member ports can be balanced according to the resource condition of each member port, and the probability of message forwarding abnormal conditions is reduced.
Description
Technical Field
The present invention relates to the field of communications technologies, and in particular, to a method, an apparatus, a device, and a storage medium for load balancing of link resources.
Background
On a traditional communication network device, a plurality of physical ports on a link are aggregated together to form a logical physical port, and a plurality of links in the same aggregation group can be regarded as a logical link. Port convergence can realize that a plurality of links are converged into a logic link to increase the bandwidth; meanwhile, all member ports of the same aggregation group are dynamically backed up with each other, so that the connection reliability is improved. The multiple links have a function of mutual backup, namely when one link fails, the work of other links is not influenced, and meanwhile, flow balance among the multiple links can be realized.
At present, a flow equalization scheduling algorithm of a port convergence (trunk) interface mainly has a packet-by-packet mode and a flow-by-flow mode. The trunk interface is used for forwarding the service message on the traditional communication hardware equipment, the hardware forwarding performance is excellent, and the problem of abnormal forwarding does not exist. However, when a Network Function Virtualization (NFV) system is applied to a cloud computing virtualization platform to perform Network communication services, traffic load problems exist when a trunk interface is used for forwarding service messages on an NFV Network element, and corresponding to a packet-by-packet mode, because a hash (hash) algorithm is generally used for load balancing of message traffic and the message traffic is distributed to relevant trunk member ports, if the hash is not uniform, some member ports are loaded with heavy loads, and some member ports are loaded with light loads, which may cause abnormal forwarding for the NFV Network element.
Therefore, how to solve the problem of unbalanced trunk link load caused by the hash algorithm is a technical problem to be solved urgently by those skilled in the art.
Disclosure of Invention
In view of the above, an object of the present invention is to provide a method, an apparatus, a device and a storage medium for balancing link resource load, which can balance traffic loads of member ports according to resource conditions of each member port, and reduce the probability of abnormal packet forwarding. The specific scheme is as follows:
a link resource load balancing method comprises the following steps:
when hash distribution is carried out on each trunk member port, scoring is carried out on the resource use evaluation of each trunk member port through a minimum resource priority scheduling strategy algorithm;
calculating the specific gravity value of each trunk member port according to the score of the resource use evaluation;
and comparing the calculated specific gravity values, and finding out the proper trunk member port for service scheduling.
Preferably, in the method for balancing load of link resources provided in the embodiment of the present invention, the scoring is performed on the resource usage evaluation of each trunk member port by using a minimum resource priority scheduling policy algorithm, and specifically includes:
respectively counting and calculating three variables of CPU utilization rate of the member port of each trunk member port, message utilization rate of the member port memory and current bandwidth rate of the member port;
and respectively combining the three calculated variables with corresponding weight factors to obtain the score of the resource use evaluation of each trunk member.
Preferably, in the method for balancing load of link resources provided in the embodiment of the present invention, the utilization ratio of the member port CPU is calculated by using the following formula:
TCPU＝(1-UCPU)·10·VC
wherein, TCPUA score representing the current member port CPU utilization; u shapeCPURepresenting the CPU utilization rate corresponding to the current member port; VC denotes the CPU frequency corresponding to the current member port.
Preferably, in the method for balancing load of link resources provided in the embodiment of the present invention, the utilization rate of the member port internal memory packet is calculated by using the following formula:
Tmen＝(TM-UM)/TM
wherein Tmen represents the score of the utilization rate of the internal memory message of the current member; TM represents the total amount of the message memory of the current member port; UM represents the amount of memory of the message used by the current member port.
Preferably, in the method for balancing link resource load provided in the embodiment of the present invention, the current bandwidth rate of the member port is calculated by using the following formula:
Trate＝(TR-UR)·VR/TR
wherein, the trade represents the score of the current bandwidth rate of the current member port; TR represents the total bandwidth rate of the current member port; UR represents the current bandwidth rate of the current member port; VR represents a performance bandwidth upper limit value.
Preferably, in the method for balancing load of link resources provided in the embodiment of the present invention, the score of each trunk member port resource usage evaluation is calculated by using the following formula:
trunkM_i＝xTCPU+yTmen+zTrate
wherein, trunkM _ i represents the score of the resource use evaluation of the current member port; x represents a weight factor corresponding to the CPU utilization of the member port; y represents a weight factor corresponding to the utilization rate of the member port internal memory message; z represents a weighting factor corresponding to the current bandwidth rate of the member port.
The embodiment of the present invention further provides a link resource load balancing apparatus, including:
the resource scheduling scoring module is used for scoring the resource use evaluation of each trunk member port through a minimum resource priority scheduling strategy algorithm when hash distribution is carried out on each trunk member port;
the specific gravity value calculation module is used for calculating the specific gravity value of each trunk member port according to the score of the resource use evaluation;
and the member port selection module is used for comparing the calculated specific gravity values and finding out the proper trunk member port for service scheduling.
Preferably, in the above link resource load balancing apparatus provided in the embodiment of the present invention, the resource scheduling scoring module specifically includes:
the variable calculating unit is used for respectively counting and calculating three variables of the CPU utilization rate of the member port of each trunk member port, the message utilization rate stored in the member port and the current bandwidth rate of the member port;
and the resource scoring unit is used for respectively combining the three calculated variables with corresponding weight factors to obtain scores of the resource use evaluation of each trunk member port.
The embodiment of the present invention further provides a link resource load balancing device, which includes a processor and a memory, wherein the processor implements the link resource load balancing method provided in the embodiment of the present invention when executing the computer program stored in the memory.
The embodiment of the present invention further provides a computer-readable storage medium for storing a computer program, where the computer program, when executed by a processor, implements the above-mentioned link resource load balancing method provided in the embodiment of the present invention.
It can be seen from the foregoing technical solutions that, a method, an apparatus, a device, and a storage medium for load balancing of link resources provided by the present invention include: when hash distribution is carried out on each trunk member port, scoring is carried out on the resource use evaluation of each trunk member port through a minimum resource priority scheduling strategy algorithm; calculating the specific gravity value of each trunk member port according to the score of the resource use evaluation; and comparing the calculated specific gravity values, and finding out the proper trunk member port for service scheduling.
When trunk member ports are distributed in the message forwarding process, a resource scheduling strategy is introduced under the condition of carrying out traditional Hash distribution on the trunk member ports, so that the load of the trunk member ports is kept balanced as much as possible, a minimum resource priority scheduling strategy algorithm is adopted under the aim, the flow load of the trunk member ports can be balanced according to the resource condition of each trunk member port, and the probability of message forwarding abnormal conditions is reduced.
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In order to more clearly illustrate the embodiments of the present invention or the technical solutions in the prior art, the drawings used in the description of the embodiments or the prior art will be briefly described below, it is obvious that the drawings in the following description are only embodiments of the present invention, and for those skilled in the art, other drawings can be obtained according to the provided drawings without creative efforts.
Fig. 1 is a flowchart of a link resource load balancing method according to an embodiment of the present invention;
fig. 2 is a schematic structural diagram of a link resource load balancing apparatus according to an embodiment of the present invention.
Detailed Description
The technical solutions in the embodiments of the present invention will be clearly and completely described below with reference to the drawings in the embodiments of the present invention, and it is obvious that the described embodiments are only a part of the embodiments of the present invention, and not all of the embodiments. All other embodiments, which can be derived by a person skilled in the art from the embodiments given herein without making any creative effort, shall fall within the protection scope of the present invention.
The invention provides a link resource load balancing method, as shown in fig. 1, comprising the following steps:
s101, when hash shunting is carried out on each trunk member port, scoring is carried out on resource use evaluation of each trunk member port through a minimum resource Priority scheduling policy algorithm (LeastRequested Priority);
s102, calculating the specific gravity value of each trunk member port according to the score of the resource use evaluation;
s103, comparing the calculated specific gravity values, and finding out the proper trunk member port for service scheduling.
In the method for balancing load of link resources provided in the embodiment of the present invention, first, when hash distribution is performed on each trunk member port, a resource usage evaluation of each trunk member port is scored through a minimum resource priority scheduling policy algorithm; then, calculating the specific gravity value of each trunk member port according to the score of the resource use evaluation; and finally, comparing the calculated specific gravity values, and finding out the proper trunk member port for service scheduling. By executing the steps, when trunk member ports are distributed in the message forwarding process, a resource scheduling strategy is introduced under the condition of carrying out traditional Hash distribution on the trunk member ports, so that the load of the trunk member ports is kept balanced as much as possible, and a minimum resource priority scheduling strategy algorithm is adopted under the aim, so that the flow load of the trunk member ports can be balanced according to the resource condition of each member port, and the probability of message forwarding abnormal conditions is reduced.
Further, in a specific implementation, in the method for balancing link resource load provided in the embodiment of the present invention, in step S101, the method for scoring resource usage evaluations of each trunk member port by using a minimum resource priority scheduling policy algorithm may specifically include the following steps:
firstly, respectively counting and calculating three variables of CPU utilization rate of a member port of each trunk member port, message utilization rate stored in the member port and current bandwidth rate of the member port;
and then, respectively combining the three calculated variables with corresponding weight factors to obtain the score of the resource use evaluation of each trunk member port.
It can be understood that, the invention proposes that three items of the utilization rate of a member port CPU, the utilization rate of a member port internal memory message and the current bandwidth rate of the member port are taken as variables to score available resources in the resource use evaluation of the member port, and meanwhile, a weight factor is added to the parameter variable for regulation when resource scheduling is carried out, so that message streams can be distributed to trunk member ports which occupy less resources, and further, the flow load of the member ports can be balanced according to the resource condition of each member port.
In a specific implementation, in the above method for balancing link resource load provided in the embodiment of the present invention, the member port CPU utilization is calculated by using the following formula:
TCPU＝(1-UCPU)·10·VC
wherein, TCPUA score representing the current member port CPU utilization; u shapeCPURepresenting the CPU utilization rate corresponding to the current member port; VC denotes the CPU frequency corresponding to the current member port. It should be understood that the CPU frequency for each member port may be different.
In a specific implementation, in the method for balancing load of link resources provided in the embodiment of the present invention, the utilization rate of the member port internal memory packet is calculated by using the following formula:
Tmen＝(TM-UM)/TM
wherein Tmen represents the score of the utilization rate of the internal memory message of the current member; TM represents the total amount of the message memory of the current member port; UM represents the amount of memory of the message used by the current member port.
In a specific implementation, in the above method for balancing link resource load provided in the embodiment of the present invention, the current bandwidth rate of the member port is calculated by using the following formula:
Trate＝(TR-UR)·VR/TR
wherein, the trade represents the score of the current bandwidth rate of the current member port; TR represents the total bandwidth rate of the current member port; UR represents the current bandwidth rate of the current member port; VR represents a performance bandwidth upper limit value.
In specific implementation, in the above method for balancing link resource load provided in the embodiment of the present invention, the following formula is used to calculate the score of each trunk member port resource usage evaluation:
trunkM_i＝xTCPU+yTmen+zTrate
wherein, trunkM _ i represents the score of the resource use evaluation of the current member port; x represents a weight factor corresponding to the CPU utilization of the member port; y represents a weight factor corresponding to the utilization rate of the member port internal memory message; z represents a weighting factor corresponding to the current bandwidth rate of the member port.
Based on the same inventive concept, embodiments of the present invention further provide a link resource load balancing device, and because the principle of solving the problem of the link resource load balancing device is similar to that of the aforementioned link resource load balancing method, the implementation of the link resource load balancing device may refer to the implementation of the link resource load balancing method, and repeated details are not repeated.
In specific implementation, the link resource load balancing apparatus provided in the embodiment of the present invention, as shown in fig. 2, specifically includes:
the resource scheduling scoring module 11 is configured to score, by using a minimum resource priority scheduling policy algorithm, resource usage evaluation of each trunk member port when performing hash distribution on each trunk member port;
the specific gravity value calculation module 12 is used for calculating the specific gravity value of each trunk member port according to the score of the resource use evaluation;
and the member port selection module 13 is configured to compare the calculated specific gravity values, and find out a suitable trunk member port for service scheduling.
In the link resource load balancing device provided in the embodiment of the present invention, through interaction of the three modules, when performing load balancing processing on a packet received by a trunk member port, a minimum resource priority scheduling policy algorithm is added on the basis of a hash algorithm, so as to ensure load balancing of the trunk member port and reduce the probability of abnormal packet forwarding.
In specific implementation, in the above link resource load balancing apparatus provided in the embodiment of the present invention, as shown in fig. 2, the resource scheduling scoring module 11 may specifically include:
a variable calculating unit 111, configured to count and calculate three variables, that is, a member port CPU utilization rate, a member port internal memory message utilization rate, and a member port current bandwidth rate, of each trunk member port;
and the resource scoring unit 112 is configured to combine the calculated three variables with corresponding weight factors, respectively, to obtain a score of each trunk member port resource usage evaluation.
For more specific working processes of the modules, reference may be made to corresponding contents disclosed in the foregoing embodiments, and details are not repeated here.
Correspondingly, the embodiment of the invention also discloses a link resource load balancing device, which comprises a processor and a memory; the link resource load balancing method disclosed in the foregoing embodiments is implemented when the processor executes the computer program stored in the memory.
For more specific processes of the above method, reference may be made to corresponding contents disclosed in the foregoing embodiments, and details are not repeated here.
Further, the present invention also discloses a computer readable storage medium for storing a computer program; the computer program when executed by a processor implements the link resource load balancing method disclosed previously.
For more specific processes of the above method, reference may be made to corresponding contents disclosed in the foregoing embodiments, and details are not repeated here.
The embodiments are described in a progressive manner, each embodiment focuses on differences from other embodiments, and the same or similar parts among the embodiments are referred to each other. The device, the equipment and the storage medium disclosed by the embodiment correspond to the method disclosed by the embodiment, so that the description is relatively simple, and the relevant points can be referred to the method part for description.
Those of skill would further appreciate that the various illustrative elements and algorithm steps described in connection with the embodiments disclosed herein may be implemented as electronic hardware, computer software, or combinations of both, and that the various illustrative components and steps have been described above generally in terms of their functionality in order to clearly illustrate this interchangeability of hardware and software. Whether such functionality is implemented as hardware or software depends upon the particular application and design constraints imposed on the implementation. Skilled artisans may implement the described functionality in varying ways for each particular application, but such implementation decisions should not be interpreted as causing a departure from the scope of the present application.
The steps of a method or algorithm described in connection with the embodiments disclosed herein may be embodied directly in hardware, in a software module executed by a processor, or in a combination of the two. A software module may reside in Random Access Memory (RAM), memory, Read Only Memory (ROM), electrically programmable ROM, electrically erasable programmable ROM, registers, hard disk, a removable disk, a CD-ROM, or any other form of storage medium known in the art.
The embodiment of the invention provides a link resource load balancing method, a device, equipment and a storage medium, wherein the method comprises the following steps: when hash distribution is carried out on each trunk member port, scoring is carried out on the resource use evaluation of each trunk member port through a minimum resource priority scheduling strategy algorithm; calculating the specific gravity value of each trunk member port according to the score of the resource use evaluation; and comparing the calculated specific gravity values, and finding out the proper trunk member port for service scheduling. Therefore, when trunk member port allocation in the message forwarding process is carried out, the resource scheduling strategy is adopted on the basis of Hash, the flow load of the member ports can be balanced according to the resource condition of each member port, and the probability of message forwarding abnormal conditions is reduced.
Finally, it should also be noted that, herein, relational terms such as first and second, and the like may be used solely to distinguish one entity or action from another entity or action without necessarily requiring or implying any actual such relationship or order between such entities or actions. Also, the terms "comprises," "comprising," or any other variation thereof, are intended to cover a non-exclusive inclusion, such that a process, method, article, or apparatus that comprises a list of elements does not include only those elements but may include other elements not expressly listed or inherent to such process, method, article, or apparatus. Without further limitation, an element defined by the phrase "comprising an … …" does not exclude the presence of other identical elements in a process, method, article, or apparatus that comprises the element.
The method, the apparatus, the device and the storage medium for link resource load balancing provided by the present invention are described in detail above, and a specific example is applied in the present document to illustrate the principle and the implementation manner of the present invention, and the description of the above embodiment is only used to help understanding the method and the core idea of the present invention; meanwhile, for a person skilled in the art, according to the idea of the present invention, there may be variations in the specific embodiments and the application scope, and in summary, the content of the present specification should not be construed as a limitation to the present invention.
Claims (10)
1. A method for balancing load of link resources is characterized by comprising the following steps:
when hash distribution is carried out on each trunk member port, scoring is carried out on the resource use evaluation of each trunk member port through a minimum resource priority scheduling strategy algorithm;
calculating the specific gravity value of each trunk member port according to the score of the resource use evaluation;
and comparing the calculated specific gravity values, and finding out the proper trunk member port for service scheduling.
2. The link resource load balancing method according to claim 1, wherein the scoring of the resource usage evaluation of each trunk member port by a minimum resource priority scheduling policy algorithm specifically includes:
respectively counting and calculating three variables of CPU utilization rate of the member port of each trunk member port, message utilization rate of the member port memory and current bandwidth rate of the member port;
and respectively combining the three calculated variables with corresponding weight factors to obtain the score of the resource use evaluation of each trunk member.
3. The link resource load balancing method according to claim 2, wherein the member port CPU utilization is calculated by using the following formula:
TCPU＝(1-UCPU)·10·VC
wherein, TCPUA score representing the current member port CPU utilization; u shapeCPURepresenting the CPU utilization rate corresponding to the current member port; VC denotes the CPU frequency corresponding to the current member port.
4. The link resource load balancing method according to claim 3, wherein the member port memory packet utilization rate is calculated by using the following formula:
Tmen＝(TM-UM)/TM
wherein Tmen represents the score of the utilization rate of the internal memory message of the current member; TM represents the total amount of the message memory of the current member port; UM represents the amount of memory of the message used by the current member port.
5. The method for load balancing of link resources according to claim 4, wherein the current bandwidth rate of the member port is calculated by using the following formula:
Trate＝(TR-UR)·VR/TR
wherein, the trade represents the score of the current bandwidth rate of the current member port; TR represents the total bandwidth rate of the current member port; UR represents the current bandwidth rate of the current member port; VR represents a performance bandwidth upper limit value.
6. The method according to claim 5, wherein the score of each trunk member port resource usage evaluation is calculated by using the following formula:
trunkM_i＝xTCPU+yTmen+zTrate
wherein, trunkM _ i represents the score of the resource use evaluation of the current member port; x represents a weight factor corresponding to the CPU utilization of the member port; y represents a weight factor corresponding to the utilization rate of the member port internal memory message; z represents a weighting factor corresponding to the current bandwidth rate of the member port.
7. A link resource load balancing apparatus, comprising:
the resource scheduling scoring module is used for scoring the resource use evaluation of each trunk member port through a minimum resource priority scheduling strategy algorithm when hash distribution is carried out on each trunk member port;
the specific gravity value calculation module is used for calculating the specific gravity value of each trunk member port according to the score of the resource use evaluation;
and the member port selection module is used for comparing the calculated specific gravity values and finding out the proper trunk member port for service scheduling.
8. The link resource load balancing apparatus according to claim 7, wherein the resource scheduling scoring module specifically includes:
the variable calculating unit is used for respectively counting and calculating three variables of the CPU utilization rate of the member port of each trunk member port, the message utilization rate stored in the member port and the current bandwidth rate of the member port;
and the resource scoring unit is used for respectively combining the three calculated variables with corresponding weight factors to obtain scores of the resource use evaluation of each trunk member port.
9. A link resource load balancing device comprising a processor and a memory, wherein the processor implements the link resource load balancing method according to any one of claims 1 to 6 when executing a computer program stored in the memory.
10. A computer-readable storage medium for storing a computer program, wherein the computer program, when executed by a processor, implements the link resource load balancing method as claimed in any one of claims 1 to 6.
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| CN201911397992.5A CN111010348A (en) | 2019-12-30 | 2019-12-30 | Link resource load balancing method, device, equipment and storage medium |
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| CN201911397992.5A CN111010348A (en) | 2019-12-30 | 2019-12-30 | Link resource load balancing method, device, equipment and storage medium |
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Cited By (2)
| Publication number | Priority date | Publication date | Assignee | Title |
|---|---|---|---|---|
| CN113098790A (en) * | 2021-03-26 | 2021-07-09 | 新华三信息安全技术有限公司 | Flow forwarding method and device |
| CN115883469A (en) * | 2023-01-04 | 2023-03-31 | 苏州浪潮智能科技有限公司 | Data flow load balancing method and device, network topology and data center |
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2019
- 2019-12-30 CN CN201911397992.5A patent/CN111010348A/en not_active Withdrawn
Cited By (3)
| Publication number | Priority date | Publication date | Assignee | Title |
|---|---|---|---|---|
| CN113098790A (en) * | 2021-03-26 | 2021-07-09 | 新华三信息安全技术有限公司 | Flow forwarding method and device |
| CN113098790B (en) * | 2021-03-26 | 2022-06-21 | 新华三信息安全技术有限公司 | Flow forwarding method and device |
| CN115883469A (en) * | 2023-01-04 | 2023-03-31 | 苏州浪潮智能科技有限公司 | Data flow load balancing method and device, network topology and data center |
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Application publication date: 20200414 |