CN110505115B - Method and device for monitoring switch running-up risk - Google Patents
Method and device for monitoring switch running-up risk Download PDFInfo
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- CN110505115B CN110505115B CN201910693498.7A CN201910693498A CN110505115B CN 110505115 B CN110505115 B CN 110505115B CN 201910693498 A CN201910693498 A CN 201910693498A CN 110505115 B CN110505115 B CN 110505115B
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- H—ELECTRICITY
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- H04L—TRANSMISSION OF DIGITAL INFORMATION, e.g. TELEGRAPHIC COMMUNICATION
- H04L41/00—Arrangements for maintenance, administration or management of data switching networks, e.g. of packet switching networks
- H04L41/14—Network analysis or design
- H04L41/147—Network analysis or design for predicting network behaviour
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- H—ELECTRICITY
- H04—ELECTRIC COMMUNICATION TECHNIQUE
- H04L—TRANSMISSION OF DIGITAL INFORMATION, e.g. TELEGRAPHIC COMMUNICATION
- H04L43/00—Arrangements for monitoring or testing data switching networks
- H04L43/08—Monitoring or testing based on specific metrics, e.g. QoS, energy consumption or environmental parameters
- H04L43/0876—Network utilisation, e.g. volume of load or congestion level
- H04L43/0894—Packet rate
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- H—ELECTRICITY
- H04—ELECTRIC COMMUNICATION TECHNIQUE
- H04L—TRANSMISSION OF DIGITAL INFORMATION, e.g. TELEGRAPHIC COMMUNICATION
- H04L43/00—Arrangements for monitoring or testing data switching networks
- H04L43/16—Threshold monitoring
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- H—ELECTRICITY
- H04—ELECTRIC COMMUNICATION TECHNIQUE
- H04L—TRANSMISSION OF DIGITAL INFORMATION, e.g. TELEGRAPHIC COMMUNICATION
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Abstract
The invention discloses a method and a device for monitoring switch running-up risk, belonging to the technical field of network communication. The method comprises the following steps: acquiring a bandwidth peak value N of a core switch and a bandwidth peak value M of a target service switch in a target machine room node in a historical period; estimating the highest bandwidth B of the target service switch when the core switch is fully loaded according to the bandwidth peak value N, the bandwidth peak value M and the uplink capping bandwidth value X of the core switch; generating a predicted risk parameter T1 corresponding to the target service switch based on a preset predicted bandwidth alarm threshold value Z1, an uplink capping bandwidth value Y of the target service switch and the highest bandwidth B; and monitoring the running-high risk of the target service switch based on the predicted risk parameter T1. By adopting the invention, the network service quality can be improved and the equipment cost can be saved.
Description
Technical Field
The invention relates to the technical field of network communication, in particular to a method and a device for monitoring high risk of switch running.
Background
A machine room node of a network system often consists of a three-layer device architecture of a core switch, a service switch and a server, wherein after service data is generated by the server, the service data can be uploaded to the service switch, and the service switch forwards the service data to other servers in the machine room node or uploads the service data to the core switch, and transmits the service data to network devices outside the machine room node through the core switch.
In order to pursue higher performance-to-cost ratio, an operator of a network system often sets a smaller uplink redundant bandwidth to a service switch to control a network service cost, for example, the service switch can carry an uplink bandwidth of 100M/s at most, and the operator sets an uplink capping bandwidth value available to the service switch to be 90M/s, that is, the uplink redundant bandwidth is 10M/s. Therefore, an operator can fully utilize the bandwidth resources of the service switch, so that the utilization rate of equipment resources is improved, and the effective control on the network service cost is realized.
In the process of implementing the invention, the inventor finds that the prior art has at least the following problems:
in the operation process of the service switch, the uplink bandwidth on the service switch fluctuates under the influence of factors such as the operation state of the server, the bandwidth requirement of a client and the like, and at the moment, if the switch runs high and the uplink redundant bandwidth is too low, the data transmission of the service switch is greatly influenced, so that the service quality and the stability of the network service cannot be effectively ensured.
Disclosure of Invention
In order to solve the problems in the prior art, embodiments of the present invention provide a method and an apparatus for monitoring a switch for a high risk. The technical scheme is as follows:
in a first aspect, a method for monitoring switch run-up risk is provided, the method comprising:
acquiring a bandwidth peak value N of a core switch and a bandwidth peak value M of a target service switch in a target machine room node in a historical period;
estimating the highest bandwidth B of the target service switch when the core switch is fully loaded according to the bandwidth peak value N, the bandwidth peak value M and the uplink capping bandwidth value X of the core switch;
generating a predicted risk parameter T1 corresponding to the target service switch based on a preset predicted bandwidth alarm threshold value Z1, an uplink capping bandwidth value Y of the target service switch and the highest bandwidth B;
and monitoring the running-high risk of the target service switch based on the predicted risk parameter T1.
Optionally, the method further includes:
counting the rated bandwidth sum M1 of all servers connected with the target service switch;
generating a downlink risk parameter T2 corresponding to the target service switch based on a preset downlink bandwidth alarm threshold value Z2, the uplink capped bandwidth value Y and the rated bandwidth sum M1;
the monitoring of the running-high risk of the target service switch based on the predicted risk parameter T1 includes:
and monitoring the running-up risk of the target business switch based on the predicted risk parameter T1 and the down-link risk parameter T2.
Therefore, the running-up risk of the service switch can be monitored in multiple dimensions by combining the downlink state of the service switch with the estimated highest bandwidth of the service switch.
Optionally, the method further includes:
acquiring the total uplink port speed V1 and the total downlink port speed V2 of the target service switch;
generating a rate risk parameter T3 corresponding to the target service switch based on a preset rate ratio alarm threshold Z3, the total uplink port rate V1 and the total downlink port rate V2;
the monitoring of the running-high risk of the target service switch based on the predicted risk parameter T1 includes:
and monitoring the running-up risk of the target service switch based on the predicted risk parameter T1 and the rate risk parameter T3.
Therefore, the multidimensional monitoring can be carried out on the run-up risk of the service switch by combining the port distribution state of the service switch with the estimated highest bandwidth of the service switch.
Optionally, the method further includes:
counting the rated bandwidth sum M1 of all servers connected with the target service switch;
generating a downlink risk parameter T2 corresponding to the target service switch based on a preset downlink bandwidth alarm threshold value Z2, the uplink capped bandwidth value Y and the rated bandwidth sum M1;
the monitoring of the running-up risk of the target business switch based on the predicted risk parameter T1 and the rate risk parameter T3 comprises:
and monitoring the running-up risk of the target business switch based on the predicted risk parameter T1, the downlink risk parameter T2 and the rate risk parameter T3.
Therefore, the running-up risk of the service switch can be monitored in multiple dimensions by combining the downlink state of the service switch and the port distribution state with the estimated highest bandwidth of the service switch.
Optionally, the monitoring of the running-high risk of the target service switch includes:
and determining the run-up risk level of the target service switch according to a preset reasonable value interval corresponding to each risk parameter and the risk parameter, wherein the risk parameters comprise the predicted risk parameter T1, the lower risk parameter T2 and the rate risk parameter T3, and the run-up risk level at least comprises three levels, namely high level, moderate level and low level.
Optionally, the determining the running-high risk level of the target service switch according to each risk parameter and the preset reasonable value interval corresponding to the risk parameter includes:
and determining the running-up risk level of the target service switch according to the preset reasonable value interval corresponding to each risk parameter and the risk judgment weight corresponding to each risk parameter.
Therefore, the risk judgment weight is introduced, and the running-high risk level of the service switch can be effectively and accurately determined when the running-high risk levels indicated by a plurality of risk parameters are different.
Optionally, after the monitoring of the running-high risk of the target service switch, the method further includes:
if the running-up risk level of the target service switch is high, increasing the uplink capping bandwidth value of the target service switch, or reducing the number of servers connected with the target service switch in a downlink manner;
and if the running-up risk level of the target service switch is low, reducing the uplink capping bandwidth value of the target service switch, or increasing the number of servers connected with the target service switch in a downlink manner.
In a second aspect, an apparatus for monitoring switch run-up risk is provided, the apparatus comprising:
the data acquisition module is used for acquiring a bandwidth peak value N of a core switch in a target machine room node and a bandwidth peak value M of a target service switch in a historical period;
the bandwidth pre-estimation module is used for pre-estimating the highest bandwidth B of the target service switch when the core switch is fully loaded according to the bandwidth peak value N, the bandwidth peak value M and the uplink capping bandwidth value X of the core switch;
a parameter generating module, configured to generate a predicted risk parameter T1 corresponding to the target service switch, based on a preset predicted bandwidth alarm threshold Z1, an uplink capping bandwidth value Y of the target service switch, and the highest bandwidth B;
and the risk monitoring module is used for monitoring the running-up risk of the target service switch based on the predicted risk parameter T1.
Optionally, the data obtaining module is further configured to count a total rated bandwidth M1 of all servers connected to the target service switch in a downstream manner;
the parameter generating module is further configured to generate a downlink risk parameter T2 corresponding to the target service switch based on a preset downlink bandwidth alarm threshold Z2, the uplink capped bandwidth value Y, and the rated bandwidth sum M1;
the risk monitoring module is specifically configured to perform risk monitoring of running high on the target service switch based on the predicted risk parameter T1 and the down-link risk parameter T2.
Optionally, the data obtaining module is further configured to obtain a total uplink port speed V1 and a total downlink port speed V2 of the target service switch;
the parameter generating module is further configured to generate a rate risk parameter T3 corresponding to the target service switch based on a preset rate ratio alarm threshold Z3, the total uplink port rate V1, and the total downlink port rate V2;
the risk monitoring module is specifically configured to perform risk monitoring of running high on the target service switch based on the predicted risk parameter T1 and the rate risk parameter T3.
Optionally, the data obtaining module is further configured to count a total rated bandwidth M1 of all servers connected to the target service switch in a downstream manner;
the parameter generating module is further configured to generate a downlink risk parameter T2 corresponding to the target service switch based on a preset downlink bandwidth alarm threshold Z2, the uplink capped bandwidth value Y, and the rated bandwidth sum M1;
the risk monitoring module is specifically configured to perform high-risk monitoring on the target service switch based on the predicted risk parameter T1, the down-link risk parameter T2, and the rate risk parameter T3.
Optionally, the risk monitoring module is specifically configured to:
and determining the run-up risk level of the target service switch according to a preset reasonable value interval corresponding to each risk parameter and the risk parameter, wherein the risk parameters comprise the predicted risk parameter T1, the lower risk parameter T2 and the rate risk parameter T3, and the run-up risk level at least comprises three levels, namely high level, moderate level and low level.
Optionally, the risk monitoring module is specifically configured to:
and determining the running-up risk level of the target service switch according to the preset reasonable value interval corresponding to each risk parameter and the risk judgment weight corresponding to each risk parameter.
Optionally, the apparatus further includes a service adjusting module, configured to:
if the running-up risk level of the target service switch is high, increasing the uplink capping bandwidth value of the target service switch, or reducing the number of servers connected with the target service switch in a downlink manner;
and if the running-up risk level of the target service switch is low, reducing the uplink capping bandwidth value of the target service switch, or increasing the number of servers connected with the target service switch in a downlink manner.
In a third aspect, there is provided a switch monitoring device comprising a processor and a memory, the memory having stored therein at least one instruction, at least one program, set of codes, or set of instructions, the at least one instruction, the at least one program, the set of codes, or the set of instructions being loaded and executed by the processor to implement the method of monitoring switch running high risk according to the first aspect.
In a fourth aspect, there is provided a computer readable storage medium having stored therein at least one instruction, at least one program, set of codes, or set of instructions, which is loaded and executed by a processor to implement the method of monitoring switch run-up risk according to the first aspect.
The technical scheme provided by the embodiment of the invention has the following beneficial effects:
in the embodiment of the invention, a bandwidth peak value N of a core switch in a target machine room node and a bandwidth peak value M of a target service switch in a historical time period are obtained; estimating the highest bandwidth B of the target service switch when the core switch is fully loaded according to the bandwidth peak value N, the bandwidth peak value M and the uplink capping bandwidth value X of the core switch; generating a predicted risk parameter T1 corresponding to the target service switch based on a preset predicted bandwidth alarm threshold value Z1, an uplink capping bandwidth value Y of the target service switch and the highest bandwidth B; and monitoring the running-high risk of the target service switch based on the predicted risk parameter T1. Therefore, the highest bandwidth of the service switch is estimated by using the actual bandwidths of the core switch and the service switch in the historical time period, and the risk parameter is further constructed to monitor the run-up risk of the service switch, so that the run-up risk of the service switch can be accurately and visually estimated, the condition that the network service quality is influenced due to the uncontrollable run-up of the service switch is reduced, and meanwhile, the phenomenon that the utilization rate of equipment resources is too low can be avoided to a certain extent, so that the purposes of improving the network service quality and saving the network service cost are achieved.
Drawings
In order to more clearly illustrate the technical solutions in the embodiments of the present invention, the drawings needed to be used in the description of the embodiments will be briefly introduced below, and it is obvious that the drawings in the following description are only some embodiments of the present invention, and it is obvious for those skilled in the art to obtain other drawings based on these drawings without creative efforts.
Fig. 1 is a schematic architecture diagram of a network system according to an embodiment of the present invention;
fig. 2 is a flowchart of a method for monitoring a switch for a high risk of running according to an embodiment of the present invention;
fig. 3 is a statistical schematic diagram of a downstream server of a switch according to an embodiment of the present invention;
fig. 4 is a schematic structural diagram of an apparatus for monitoring a switch run-up risk according to an embodiment of the present invention;
fig. 5 is a schematic structural diagram of an apparatus for monitoring a switch run-up risk according to an embodiment of the present invention;
fig. 6 is a schematic structural diagram of a switch monitoring device according to an embodiment of the present invention.
Detailed Description
In order to make the objects, technical solutions and advantages of the present invention more apparent, embodiments of the present invention will be described in detail with reference to the accompanying drawings.
The embodiment of the invention provides a method for monitoring switch running-up risk, wherein an execution main body of the method can be switch monitoring equipment used for monitoring the running state of a switch in a network system, and the switch monitoring equipment can be any network equipment with a data acquisition function and a data processing function. The network system may include a plurality of machine room nodes, and each machine room node may include a core switch, at least one service switch, and a plurality of servers. The core switch may be configured to receive service data inside the machine room node and transmit the service data to the outside, and the service switch may be disposed between the core switch and a server on the bottom layer, and configured to receive the service data uploaded by the server, forward part of the service data inside the machine room node, and upload part of the service data to the core switch at the same time. The server is a bottom layer device used for realizing service processing in the machine room node, the server can be connected with the service switch or directly connected with the core switch, and after the server generates service data to be uploaded, the service data can be uploaded to the service switch or directly uploaded to the core switch. Each machine room node can also be provided with the switch monitoring equipment, and is used for acquiring the running states of all switches (including a core switch and a service switch) in the machine room node so as to monitor the running-high risk of each switch. The architecture of the network system may be as shown in fig. 1. The switch monitoring device can comprise a processor, a memory and a transceiver, wherein the processor can be used for executing the processing for monitoring the switch running high risk in the following procedures, the memory can be used for storing data required in the processing procedure and generated data, and the transceiver can be used for receiving and transmitting relevant data in the processing procedure.
The process flow shown in fig. 2 will be described in detail below with reference to the specific embodiments, and the contents may be as follows:
The target machine room node may be any machine room node providing service in the network system, and the target service switch may be any running service switch in the target machine room node.
In implementation, when the target machine room node provides a service to the outside, the switch monitoring device in the target machine room node may continuously monitor the operating states of all switches in the target machine room node. When monitoring whether a certain service switch (such as a target service switch) runs high risk, the switch monitoring device may obtain a bandwidth peak N of a core switch in a target machine room node and a bandwidth peak M of the target service switch in a historical period. Here, the history period may be a specified period, such as the previous 5 minutes, before the current time. The monitoring processing of the switch monitoring device on the target service switch may be triggered according to a preset period, may be triggered based on a manually input instruction, or may be triggered based on other preset conditions.
In implementation, after acquiring the bandwidth peak value N of the core switch and the bandwidth peak value M of the target service switch, the switch monitoring device may estimate the highest bandwidth B of the target service switch when the core switch is fully loaded according to the bandwidth peak value N, the bandwidth peak value M, and the uplink capping bandwidth value X of the core switch. Specifically, based on the bandwidth peak value N and the bandwidth peak value M, the bandwidth comparison condition between the core switch and the target service switch when the target machine room node provides the service can be estimated, and then the highest bandwidth B of the target service switch is estimated by combining the uplink capping bandwidth value X of the core switch.
And 203, generating a predicted risk parameter T1 corresponding to the target service switch based on a preset predicted bandwidth alarm threshold value Z1, an uplink capping bandwidth value Y of the target service switch and the highest bandwidth B.
In implementation, the switch monitoring device may preset a predicted bandwidth alarm threshold Z1, and when it is predicted that the highest bandwidth ratio (i.e. the ratio of the highest bandwidth B to the uplink capping bandwidth value Y) of the service switch exceeds the predicted bandwidth alarm threshold Z1, the switch monitoring device may determine that the service switch has a certain high risk. The predicted bandwidth alarm threshold Z1 can be flexibly adjusted by a technician of the network system according to the real-time status of the service, the device parameters of the service switch, and the like, so as to reach a balance point between cost control and total quality of service control, and therefore, it can be understood that the values of the predicted bandwidth alarm threshold Z1 corresponding to different service switches may be the same or different. In this way, after predicting the highest bandwidth B of the target service switch, the switch monitoring device may generate a predicted risk parameter T1 corresponding to the target service switch, which is B/Y, based on the preset predicted bandwidth alarm threshold Z1, the uplink capped bandwidth value Y of the target service switch, and the highest bandwidth B: z1.
And step 204, monitoring the running-high risk of the target service switch based on the predicted risk parameter T1.
In an implementation, after the switch monitoring device generates the predicted risk parameter T1 corresponding to the target service switch, the switch monitoring device may perform the run-up risk monitoring on the target service switch based on the predicted risk parameter T1. Specifically, the smaller T1 is, the smaller the risk of the target service switch running high is shown even if the uplink bandwidth of the core switch of the target machine room node reaches the uplink capping bandwidth value X; when T1 is close to 1, the uplink bandwidth ratio of the target service switch is possibly up to a predicted bandwidth alarm threshold value Z1, and a certain run-up risk exists; the larger the T1 is, the more likely the uplink bandwidth occupation ratio of the target service switch exceeds the predicted bandwidth alarm threshold Z1 when the uplink bandwidth of the core switch of the target machine room node reaches the uplink capping bandwidth value X, that is, the higher the risk of run-up is.
Optionally, when the switch runs high risk, the relationship between the sum of the rated bandwidths of all servers connected in the down link of the switch and the uplink capped bandwidth value of the servers may also be referred to, and the following processing may correspondingly exist: counting the rated bandwidth sum M1 of all servers connected with the target service switch; and generating a downlink risk parameter T2 corresponding to the target service switch based on a preset downlink bandwidth alarm threshold value Z2, an uplink capped bandwidth value Y and a rated bandwidth sum M1. Further, the processing of step 204 may be as follows: and monitoring the running-up risk of the target business switch based on the predicted risk parameter T1 and the downstream risk parameter T2.
In an implementation, when the switch monitoring device performs high-risk monitoring on the target service switch, it may further count a total rated bandwidth M1 of all servers connected to the target service switch in a downstream manner, for example, as shown in fig. 3, a server a1 and a service switch B are connected to the service switch a in a downstream manner, a server B1, a server B2 and a service switch C are connected to the service switch B in a downstream manner, and a server C1 and a server C2 are connected to the service switch C in a downstream manner, assuming that the rated bandwidth of each server is M, therefore, all servers connected to the service switch a in a downstream manner include a1, B1, B2, C1 and C2, and the total rated bandwidth M1 is 5M. The switch monitoring equipment can also be preset with a downlink bandwidth alarm threshold value Z2, and when the ratio of the sum of the rated bandwidths of all the servers of the downlink of the service switch to the uplink capping bandwidth value Y of the service switch is predicted to exceed the downlink bandwidth alarm threshold value Z2, the switch monitoring equipment can determine that the service switch has a certain high risk. Furthermore, the switch monitoring device may generate a downlink risk parameter T2 corresponding to the target service switch, which is M1/X, based on the downlink bandwidth alarm threshold Z2, the uplink capped bandwidth value Y of the target service switch, and the nominal bandwidth sum M1: z2. In this way, the switch monitoring device may perform high-risk monitoring of the target business switch based on the predicted risk parameter T1 and the downline risk parameter T2. The smaller the T2 is, the lower the running-up risk of the target service switch is, even if the service bandwidths of all the servers connected downwards of the target service switch reach the rated bandwidth; the larger T2 is, the more likely the ratio of the total M1 of the rated bandwidth of the downstream servers to the uplink capped bandwidth value Y exceeds the downstream bandwidth alarm threshold Z2 when the service bandwidth of all the downstream servers of the target service switch reaches the rated bandwidth, that is, the higher the risk of the target service switch running high. It should be noted that the downlink bandwidth alarm threshold Z2 can be flexibly adjusted by a technician of the network system according to the real-time status of the service, the device parameters of the service switch, and the like, so as to achieve a balance point between the cost control and the total quality of service control, and therefore, it can be understood that the values of the downlink bandwidth alarm thresholds Z2 corresponding to different service switches may be the same or different.
Optionally, when monitoring the switch running high risk, the relationship between the total rate of the uplink port and the total rate of the downlink port of the switch may also be referred to, and the following processing may correspondingly exist: acquiring the total uplink port speed V1 and the total downlink port speed V2 of a target service switch; and generating a rate risk parameter T3 corresponding to the target service switch based on a preset rate ratio alarm threshold Z3, the total uplink port rate V1 and the total downlink port rate V2. Further, the processing of step 204 may be as follows: and monitoring the running-high risk of the target service switch based on the predicted risk parameter T1 and the rate risk parameter T3.
In implementation, when the switch monitoring device monitors the target service switch for the high risk, the switch monitoring device may further obtain the total uplink port rate V1 and the total downlink port rate V2 of the target service switch. The switch monitoring device may also be preset with a rate ratio alarm threshold Z3, and when it is predicted that the rate ratio of the downstream port and the upstream port of the service switch exceeds the rate ratio alarm threshold Z3, the switch monitoring device may determine that the service switch has a certain risk of running high. Furthermore, the switch monitoring device may generate a rate risk parameter T3 ═ V2/V1 corresponding to the target service switch, based on a preset rate ratio alarm threshold Z3, the uplink port total rate V1, and the downlink port total rate V2: z3. In this way, the switch monitoring device may perform run-up risk monitoring on the target traffic switch based on the predicted risk parameter T1 and the rate risk parameter T3. The smaller T3, the lower the risk of the target service switch running high even if the rate of each port of the target service switch is saturated; the larger T3 indicates that the higher the risk of the target service switch running up when all port rates of the target service switch are saturated. Here, the rate ratio alarm threshold Z3 can be flexibly adjusted by a technician of the network system according to the real-time status of the service, the device parameters of the service switch, and the like, so as to reach a balance point between the cost control and the total quality of service control, and therefore, it can be understood that the values of the rate ratio alarm threshold Z3 corresponding to different service switches may be the same or different.
It is worth mentioning that, when the running-up risk monitoring is performed on the target service switch, the switch monitoring device may also perform the running-up risk monitoring on the target service switch based on the preset risk parameter T1, the lower-connection risk parameter T2 and the rate risk parameter T3. It can be seen that the descending risk parameter T2 and the rate risk parameter T3 are respectively affected by the descending state and the port allocation state of the target service switch, so that the descending risk parameter T2 may be recalculated based on the changed descending state only when the descending state of the target service switch changes or needs to change, and then the target service switch is monitored for run-up risk through the descending risk parameter T2, and similarly, the rate risk parameter T3 may be recalculated based on the changed port allocation state only when the port allocation state of the target service switch changes, and then the target service switch is monitored for run-up risk through the rate risk parameter T3. In addition, the above processing of generating the offline risk parameter T2 and the rate risk parameter T3 may also be applied to the core switch, and further, the switch monitoring device may monitor the run-up risk of the core switch based on the offline risk parameter T2 and the rate risk parameter T3 of the core switch.
Optionally, the switch monitoring device may evaluate the run-up risk of the switch through a reasonable value interval of the risk parameter, and the corresponding processing may be as follows: and determining the running-up risk level of the target service switch according to each risk parameter and the preset reasonable value interval corresponding to the risk parameter.
Wherein the risk parameters comprise a prediction risk parameter T1, a lower link risk parameter T2 and a rate risk parameter T3, and the high risk level at least comprises three levels, namely a high level, a medium level and a low level.
In implementation, the switch monitoring device may set a corresponding preset reasonable value interval for each risk parameter based on empirical data or historical data, so as to evaluate a run-up risk level of the switch. Specifically, when the value of the risk parameter is within the corresponding preset reasonable value interval, the running-up risk level of the target service switch can be considered to be moderate; when the value of the risk parameter is smaller than the corresponding preset reasonable value interval, the running-high risk level of the target service switch can be considered as low level; when the value of the risk parameter is larger than the corresponding preset reasonable value interval, the running-up risk level of the target service switch can be considered as high. Certainly, the switch monitoring device may further perform finer-grained division on the run-up risk level of the target service switch based on the numerical relationship between the risk parameter and the corresponding preset reasonable value interval, the division principle is similar to that described above, and details are not repeated in this embodiment. It will be appreciated that the above process of determining a running-high risk level is equally applicable to the process when the switch monitoring device performs running-high risk monitoring based on only a single or partial risk parameter.
Optionally, when determining the running-high risk level of the service switch according to the risk parameters, the degree of influence of each risk parameter on the running-high risk level may be referred to, and the corresponding processing for determining the running-high risk level may be as follows: and determining the running-up risk level of the target service switch according to each risk parameter, the preset reasonable value interval corresponding to the risk parameter and the risk judgment weight corresponding to each risk parameter.
In implementation, a risk decision weight corresponding to each risk parameter can be set on the switch monitoring equipment according to the influence degree of different risk parameters on the run-up risk, and the risk decision weight can be used for comprehensively analyzing a unified decision result through the risk decision weight when the determination results of the multiple risk parameters on the run-up risk level are inconsistent. Therefore, after the switch monitoring equipment preliminarily determines the high risk level of the target service switch according to each risk parameter and the preset reasonable value interval corresponding to the risk parameter, the switch monitoring equipment can further determine the high risk level of the target service switch by combining the risk judgment weight corresponding to each risk parameter. For example, if the risk determination weight corresponding to the predicted risk parameter T1 is 0.2 and the risk determination weight corresponding to the downlinked risk parameter T2 is 0.4, the running-high risk level is determined to be moderate by the predicted risk parameter T1, and the running-high risk level is determined to be high by the downlinked risk parameter T2, then the running-high risk level may be determined to be high according to the risk determination values corresponding to the two.
In addition, a comprehensive reasonable value interval corresponding to all risk parameters can be set, namely after a plurality of risk parameters are generated, a comprehensive risk parameter can be obtained through calculation based on a risk judgment weight corresponding to the risk parameters and specific values of the risk parameters, and then the running-up risk level of the target service switch can be determined by utilizing the comprehensive risk parameter and the comprehensive reasonable value interval.
Optionally, for different running-high risk levels of the service switch, the uplink capping bandwidth value of the service switch and the number of servers connected downstream may be adjusted in a targeted manner, and the corresponding processing may be as follows: if the running-up risk level of the target service switch is high, increasing the uplink capping bandwidth value of the target service switch, or reducing the number of servers connected with the target service switch in a downlink manner; and if the running-high risk level of the target service switch is low, reducing the uplink capping bandwidth value of the target service switch or increasing the number of servers connected downwards by the target service switch.
In implementation, after determining the run-up risk level of the target service switch, the switch monitoring device may perform different adjustments for high-level and low-level run-up risks, respectively, so as to achieve the effect of reducing the cost of the device while improving the service quality. Specifically, if the high risk level of the target service switch is high, the redundancy level of the uplink bandwidth of the target service switch needs to be improved to a certain extent, so that on one hand, the uplink bandwidth load capacity of the target service switch can be enhanced, that is, the uplink capping bandwidth value of the target service switch is improved, and on the other hand, the uplink bandwidth load demand of the target service switch can be reduced, that is, the number of servers connected downstream of the target service switch is reduced; if the high risk level of the target service switch is low, the redundancy degree of the uplink bandwidth of the target service switch needs to be reduced to a certain extent, so that on one hand, the uplink bandwidth load capacity of the target service switch can be weakened, namely, the uplink capping bandwidth value of the target service switch is reduced, and on the other hand, the uplink bandwidth load demand of the target service switch can be increased, namely, the number of servers connected with the target service switch in a downlink manner is increased. It should be noted that the adjustment processing for the service switch is not applicable to the core switch of the machine room node.
In the embodiment of the invention, a bandwidth peak value N of a core switch in a target machine room node and a bandwidth peak value M of a target service switch in a historical time period are obtained; estimating the highest bandwidth B of the target service switch when the core switch is fully loaded according to the bandwidth peak value N, the bandwidth peak value M and the uplink capping bandwidth value X of the core switch; generating a predicted risk parameter T1 corresponding to the target service switch based on a preset predicted bandwidth alarm threshold value Z1, an uplink capping bandwidth value Y of the target service switch and the highest bandwidth B; and monitoring the running-high risk of the target service switch based on the predicted risk parameter T1. Therefore, the highest bandwidth of the service switch is estimated by using the actual bandwidths of the core switch and the service switch in the historical time period, and the risk parameter is further constructed to monitor the run-up risk of the service switch, so that the run-up risk of the service switch can be accurately and visually estimated, the condition that the network service quality is influenced due to the uncontrollable run-up of the service switch is reduced, and meanwhile, the phenomenon that the utilization rate of equipment resources is too low can be avoided to a certain extent, so that the purposes of improving the network service quality and saving the network service cost are achieved.
Based on the same technical concept, an embodiment of the present invention further provides an apparatus for monitoring a switch running high risk, as shown in fig. 4, the apparatus includes:
a data obtaining module 401, configured to obtain a bandwidth peak N of a core switch in a target machine room node and a bandwidth peak M of a target service switch in a historical period;
a bandwidth estimating module 402, configured to estimate, according to the bandwidth peak value N, the bandwidth peak value M, and an uplink capping bandwidth value X of the core switch, a highest bandwidth B of the target service switch when the core switch is fully loaded;
a parameter generating module 403, configured to generate a predicted risk parameter T1 corresponding to the target service switch, based on a preset predicted bandwidth alarm threshold Z1, an uplink capping bandwidth value Y of the target service switch, and the highest bandwidth B;
a risk monitoring module 404, configured to perform high risk monitoring on the target service switch based on the predicted risk parameter T1.
Optionally, the data obtaining module 401 is further configured to count a total rated bandwidth M1 of all servers connected to the target service switch in a downstream manner;
the parameter generating module 403 is further configured to generate a downlink risk parameter T2 corresponding to the target service switch, based on a preset downlink bandwidth alarm threshold Z2, the uplink capped bandwidth value Y, and the nominal bandwidth sum M1;
the risk monitoring module 404 is specifically configured to perform risk monitoring for running high on the target service switch based on the predicted risk parameter T1 and the down-link risk parameter T2.
Optionally, the data obtaining module 401 is further configured to obtain a total uplink port speed V1 and a total downlink port speed V2 of the target service switch;
the parameter generating module 403 is further configured to generate a rate risk parameter T3 corresponding to the target service switch, based on a preset rate ratio alarm threshold Z3, the total uplink port rate V1, and the total downlink port rate V2;
the risk monitoring module 404 is specifically configured to perform risk monitoring of running high on the target service switch based on the predicted risk parameter T1 and the rate risk parameter T3.
Optionally, the data obtaining module 401 is further configured to count a total rated bandwidth M1 of all servers connected to the target service switch in a downstream manner;
the parameter generating module 403 is further configured to generate a downlink risk parameter T2 corresponding to the target service switch, based on a preset downlink bandwidth alarm threshold Z2, the uplink capped bandwidth value Y, and the nominal bandwidth sum M1;
the risk monitoring module 404 is specifically configured to perform high risk monitoring on the target service switch based on the predicted risk parameter T1, the down-link risk parameter T2, and the rate risk parameter T3.
Optionally, the risk monitoring module 404 is specifically configured to:
and determining the run-up risk level of the target service switch according to a preset reasonable value interval corresponding to each risk parameter and the risk parameter, wherein the risk parameters comprise the predicted risk parameter T1, the lower risk parameter T2 and the rate risk parameter T3, and the run-up risk level at least comprises three levels, namely high level, moderate level and low level.
Optionally, the risk monitoring module 404 is specifically configured to:
and determining the running-up risk level of the target service switch according to the preset reasonable value interval corresponding to each risk parameter and the risk judgment weight corresponding to each risk parameter.
Optionally, as shown in fig. 5, the apparatus further includes a service adjusting module 405, configured to:
if the running-up risk level of the target service switch is high, increasing the uplink capping bandwidth value of the target service switch, or reducing the number of servers connected with the target service switch in a downlink manner;
and if the running-up risk level of the target service switch is low, reducing the uplink capping bandwidth value of the target service switch, or increasing the number of servers connected with the target service switch in a downlink manner.
In the embodiment of the invention, a bandwidth peak value N of a core switch in a target machine room node and a bandwidth peak value M of a target service switch in a historical time period are obtained; estimating the highest bandwidth B of the target service switch when the core switch is fully loaded according to the bandwidth peak value N, the bandwidth peak value M and the uplink capping bandwidth value X of the core switch; generating a predicted risk parameter T1 corresponding to the target service switch based on a preset predicted bandwidth alarm threshold value Z1, an uplink capping bandwidth value Y of the target service switch and the highest bandwidth B; and monitoring the running-high risk of the target service switch based on the predicted risk parameter T1. Therefore, the highest bandwidth of the service switch is estimated by using the actual bandwidths of the core switch and the service switch in the historical time period, and the risk parameter is further constructed to monitor the run-up risk of the service switch, so that the run-up risk of the service switch can be accurately and visually estimated, the condition that the network service quality is influenced due to the uncontrollable run-up of the service switch is reduced, and meanwhile, the phenomenon that the utilization rate of equipment resources is too low can be avoided to a certain extent, so that the purposes of improving the network service quality and saving the network service cost are achieved.
It should be noted that: in the device for monitoring the switch running-high risk provided by the embodiment, when the switch running-high risk is monitored, only the division of the functional modules is taken as an example, and in practical application, the function distribution can be completed by different functional modules according to needs, that is, the internal structure of the device is divided into different functional modules so as to complete all or part of the functions described above. In addition, the apparatus for monitoring the switch running-high risk provided by the above embodiment and the method embodiment for monitoring the switch running-high risk belong to the same concept, and the specific implementation process thereof is detailed in the method embodiment and is not described herein again.
Fig. 6 is a schematic structural diagram of a switch monitoring device according to an embodiment of the present invention. The switch monitoring device 600 may vary significantly due to configuration or performance differences and may include one or more central processors 622 (e.g., one or more processors) and memory 632, one or more storage media 630 (e.g., one or more mass storage devices) storing applications 642 or data 644. Memory 632 and storage medium 630 may be, among other things, transient or persistent storage. The program stored in the storage medium 630 may include one or more modules (not shown), each of which may include a series of instruction operations for the switch monitoring apparatus 600. Still further, the central processor 622 may be configured to communicate with the storage medium 630 to execute a series of instruction operations in the storage medium 630 on the switch monitoring device 600.
The switch monitoring device 600 may also include one or more power supplies 629, one or more wired or wireless network interfaces 650, one or more input-output interfaces 658, one or more keyboards 656, and/or one or more operating systems 641, such as Windows Server, Mac OS X, Unix, Linux, FreeBSD, etc.
The switch monitoring apparatus 600 may include a memory, and one or more programs, wherein the one or more programs are stored in the memory and configured to be executed by the one or more processors, the one or more programs including instructions for performing the monitoring of the switch run-up risk described above.
It will be understood by those skilled in the art that all or part of the steps for implementing the above embodiments may be implemented by hardware, or may be implemented by a program instructing relevant hardware, where the program may be stored in a computer-readable storage medium, and the above-mentioned storage medium may be a read-only memory, a magnetic disk or an optical disk, etc.
The above description is only for the purpose of illustrating the preferred embodiments of the present invention and is not to be construed as limiting the invention, and any modifications, equivalents, improvements and the like that fall within the spirit and principle of the present invention are intended to be included therein.
Claims (16)
1. A method of monitoring switch run-up risk, the method comprising:
acquiring a bandwidth peak value N of a core switch and a bandwidth peak value M of a target service switch in a target machine room node in a historical period;
estimating the highest bandwidth B of the target service switch when the core switch is fully loaded according to the bandwidth peak value N, the bandwidth peak value M and an uplink capping bandwidth value X of the core switch, wherein B is M X/N;
generating a predicted risk parameter T1 corresponding to the target service switch based on a preset predicted bandwidth alarm threshold Z1, an uplink capping bandwidth value Y of the target service switch, and the highest bandwidth B, where T1 is B/Y: z1;
and monitoring the running-high risk of the target service switch based on the predicted risk parameter T1.
2. The method of claim 1, further comprising:
counting the rated bandwidth sum M1 of all servers connected with the target service switch;
generating a downlink risk parameter T2 corresponding to the target service switch based on a preset downlink bandwidth alarm threshold value Z2, the uplink capped bandwidth value Y and the rated bandwidth sum M1;
the monitoring of the running-high risk of the target service switch based on the predicted risk parameter T1 includes:
and monitoring the running-up risk of the target business switch based on the predicted risk parameter T1 and the down-link risk parameter T2.
3. The method of claim 1, further comprising:
acquiring the total uplink port speed V1 and the total downlink port speed V2 of the target service switch;
generating a rate risk parameter T3 corresponding to the target service switch based on a preset rate ratio alarm threshold Z3, the total uplink port rate V1 and the total downlink port rate V2;
the monitoring of the running-high risk of the target service switch based on the predicted risk parameter T1 includes:
and monitoring the running-up risk of the target service switch based on the predicted risk parameter T1 and the rate risk parameter T3.
4. The method of claim 3, further comprising:
counting the rated bandwidth sum M1 of all servers connected with the target service switch;
generating a downlink risk parameter T2 corresponding to the target service switch based on a preset downlink bandwidth alarm threshold value Z2, the uplink capped bandwidth value Y and the rated bandwidth sum M1;
the monitoring of the running-up risk of the target business switch based on the predicted risk parameter T1 and the rate risk parameter T3 comprises:
and monitoring the running-up risk of the target business switch based on the predicted risk parameter T1, the downlink risk parameter T2 and the rate risk parameter T3.
5. The method of claim 4, wherein the monitoring the target service switch for run-high risk comprises:
and determining the run-up risk level of the target service switch according to a preset reasonable value interval corresponding to each risk parameter and the risk parameter, wherein the risk parameters comprise the predicted risk parameter T1, the lower risk parameter T2 and the rate risk parameter T3, and the run-up risk level at least comprises three levels, namely high level, moderate level and low level.
6. The method according to claim 5, wherein the determining the running-up risk level of the target service switch according to the preset reasonable value interval corresponding to each risk parameter and the risk parameter comprises:
and determining the running-up risk level of the target service switch according to the preset reasonable value interval corresponding to each risk parameter and the risk judgment weight corresponding to each risk parameter.
7. The method of claim 6, wherein after the monitoring the target service switch for run-high risk, further comprising:
if the running-up risk level of the target service switch is high, increasing the uplink capping bandwidth value of the target service switch, or reducing the number of servers connected with the target service switch in a downlink manner;
and if the running-up risk level of the target service switch is low, reducing the uplink capping bandwidth value of the target service switch, or increasing the number of servers connected with the target service switch in a downlink manner.
8. An apparatus for monitoring switches for high risk of running, the apparatus comprising:
the data acquisition module is used for acquiring a bandwidth peak value N of a core switch in a target machine room node and a bandwidth peak value M of a target service switch in a historical period;
a bandwidth estimation module, configured to estimate, according to the bandwidth peak value N, the bandwidth peak value M, and an uplink capping bandwidth value X of the core switch, a highest bandwidth B of the target service switch when the core switch is fully loaded, where B is M × X/N;
a parameter generating module, configured to generate a predicted risk parameter T1 corresponding to the target service switch based on a preset predicted bandwidth alarm threshold Z1, an uplink capping bandwidth value Y of the target service switch, and the highest bandwidth B, where T1 is B/Y: z1;
and the risk monitoring module is used for monitoring the running-up risk of the target service switch based on the predicted risk parameter T1.
9. The apparatus of claim 8, wherein the data obtaining module is further configured to count a sum M1 of rated bandwidths of all servers connected downstream from the target service switch;
the parameter generating module is further configured to generate a downlink risk parameter T2 corresponding to the target service switch based on a preset downlink bandwidth alarm threshold Z2, the uplink capped bandwidth value Y, and the rated bandwidth sum M1;
the risk monitoring module is specifically configured to perform risk monitoring of running high on the target service switch based on the predicted risk parameter T1 and the down-link risk parameter T2.
10. The apparatus of claim 8, wherein the data obtaining module is further configured to obtain a total upstream port rate V1 and a total downstream port rate V2 of the target service switch;
the parameter generating module is further configured to generate a rate risk parameter T3 corresponding to the target service switch based on a preset rate ratio alarm threshold Z3, the total uplink port rate V1, and the total downlink port rate V2;
the risk monitoring module is specifically configured to perform risk monitoring of running high on the target service switch based on the predicted risk parameter T1 and the rate risk parameter T3.
11. The apparatus according to claim 10, wherein the data obtaining module is further configured to count a sum M1 of rated bandwidths of all servers connected downstream from the target service switch;
the parameter generating module is further configured to generate a downlink risk parameter T2 corresponding to the target service switch based on a preset downlink bandwidth alarm threshold Z2, the uplink capped bandwidth value Y, and the rated bandwidth sum M1;
the risk monitoring module is specifically configured to perform high-risk monitoring on the target service switch based on the predicted risk parameter T1, the down-link risk parameter T2, and the rate risk parameter T3.
12. The apparatus according to claim 11, wherein the risk monitoring module is specifically configured to:
and determining the run-up risk level of the target service switch according to a preset reasonable value interval corresponding to each risk parameter and the risk parameter, wherein the risk parameters comprise the predicted risk parameter T1, the lower risk parameter T2 and the rate risk parameter T3, and the run-up risk level at least comprises three levels, namely high level, moderate level and low level.
13. The apparatus according to claim 12, wherein the risk monitoring module is specifically configured to:
and determining the running-up risk level of the target service switch according to the preset reasonable value interval corresponding to each risk parameter and the risk judgment weight corresponding to each risk parameter.
14. The apparatus of claim 13, further comprising a traffic adaptation module configured to:
if the running-up risk level of the target service switch is high, increasing the uplink capping bandwidth value of the target service switch, or reducing the number of servers connected with the target service switch in a downlink manner;
and if the running-up risk level of the target service switch is low, reducing the uplink capping bandwidth value of the target service switch, or increasing the number of servers connected with the target service switch in a downlink manner.
15. A switch monitoring device, comprising a processor and a memory, the memory having stored therein at least one instruction, at least one program, set of codes, or set of instructions, the at least one instruction, the at least one program, the set of codes, or the set of instructions being loaded and executed by the processor to implement a method of monitoring switch run-high risk according to any of claims 1 to 7.
16. A computer readable storage medium having stored therein at least one instruction, at least one program, a set of codes, or a set of instructions, which is loaded and executed by a processor to implement the method of monitoring switch run-high risk according to any one of claims 1 to 7.
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