CN110505115A - A method and device for monitoring the high risk of switch running - Google Patents

Abstract

The invention discloses a method and a device for monitoring the high risk of switch running, and belongs to the technical field of network communication. The method includes: obtaining the bandwidth peak value N of the core switch in the target computer room node and the bandwidth peak value M of the target service switch in the historical period; value X, estimate the highest bandwidth B of the target service switch when the core switch is fully loaded; based on the preset predicted bandwidth alarm threshold Z1 and the upstream capped bandwidth value Y of the target service switch, and the highest bandwidth B , generating a predicted risk parameter T1 corresponding to the target service switch; performing high risk monitoring on 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

A method and device for monitoring the high risk of switch running

technical field

The invention relates to the technical field of network communication, in particular to a method and device for monitoring the high risk of a switch running.

Background technique

The computer room nodes of the network system are often composed of a core switch-service switch-server three-layer equipment architecture. Among them, after the business data generated by the server, the business data can be uploaded to the service switch, and the service switch forwards the business data to the computer room node. other servers or upload to the core switch, and transmit the business data to the network equipment outside the node of the computer room through the core switch.

In order to pursue higher cost performance, network system operators often set smaller uplink redundant bandwidth for service switches to control network service costs. For example, service switches can carry up to 100M/s uplink bandwidth, and operators set service switches The available upstream capped bandwidth is 90M/s, that is, the upstream redundant bandwidth is 10M/s. In this way, the operator can make full use of the bandwidth resources of the service switch, thereby improving the utilization rate of equipment resources and realizing effective control of network service costs.

In the process of realizing the present invention, the inventor finds that there are at least the following problems in the prior art:

During the operation of the service switch, the upstream bandwidth of the service switch will fluctuate due to factors such as the running status of the server and the bandwidth requirements of customers. At this time, if the switch runs high and the upstream redundant bandwidth is too low, the service The data transmission will be greatly affected, so that the service quality and stability of network services cannot be effectively guaranteed.

Contents of the invention

In order to solve the problems in the prior art, embodiments of the present invention provide a method and a device for monitoring the high risk of a switch running. Described technical scheme is as follows:

In the first aspect, a method for monitoring the high risk of switch running is provided, and the method includes:

Obtain the bandwidth peak value N of the core switch in the target computer room node and the bandwidth peak value M of the target service switch in the 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 bandwidth value X of the core switch;

Generate a predicted risk parameter T1 corresponding to the target service switch 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;

Perform high risk monitoring on the target service switch based on the predicted risk parameter T1.

Optionally, the method also includes:

Counting the total rated bandwidth M1 of all servers connected to the target service switch;

Generate a downlink risk parameter T2 corresponding to the target service switch based on the preset downlink bandwidth alarm threshold Z2, the uplink capped bandwidth value Y, and the sum of the rated bandwidth M1;

The performing high risk monitoring on the target service switch based on the predicted risk parameter T1 includes:

Based on the predicted risk parameter T1 and the downlink risk parameter T2, the target service switch is monitored for running high risk.

In this way, the downlink status of the service switch can be combined with the estimated maximum bandwidth of the service switch to monitor the high risk of the service switch in multiple dimensions.

Optionally, the method also includes:

Obtain the total rate V1 of the uplink port and the total rate V2 of the downlink port of the target service switch;

Generate a rate risk parameter T3 corresponding to the target service switch based on the preset rate ratio alarm threshold Z3, the total rate V1 of the uplink port, and the total rate V2 of the downlink port;

The performing high risk monitoring on the target service switch based on the predicted risk parameter T1 includes:

Perform high risk monitoring on the target service switch based on the predicted risk parameter T1 and the rate risk parameter T3.

In this way, the risk of running high of the service switch can be monitored in multiple dimensions through the port allocation status of the service switch combined with the estimated maximum bandwidth of the service switch.

Optionally, the method also includes:

Counting the total rated bandwidth M1 of all servers connected to the target service switch;

Generate a downlink risk parameter T2 corresponding to the target service switch based on the preset downlink bandwidth alarm threshold Z2, the uplink capped bandwidth value Y, and the sum of the rated bandwidth M1;

The performing high risk monitoring on the target service switch based on the predicted risk parameter T1 and the rate risk parameter T3 includes:

Based on the predicted risk parameter T1, the downlink risk parameter T2, and the rate risk parameter T3, the target service switch is monitored for running high risk.

In this way, the downlink status of the service switch and the port allocation status combined with the estimated maximum bandwidth of the service switch can be used to monitor the high risk of the service switch in multiple dimensions.

Optionally, the monitoring the target service switch for running high risks includes:

According to each risk parameter and the preset reasonable value interval corresponding to the risk parameter, determine the high risk level of the target service exchange, wherein the risk parameter includes the predicted risk parameter T1, the downlink risk parameter T2 and the rate risk parameter T3, the risk level of running high includes at least three levels: high level, moderate level and low level.

Optionally, the determining the high risk level of the target service switch according to each risk parameter and the preset reasonable value range corresponding to the risk parameter includes:

According to each risk parameter and the preset reasonable value range corresponding to the risk parameter, and the risk judgment weight corresponding to each risk parameter, determine the high risk level of the target service exchange.

In this way, the method of introducing risk judgment weights can effectively and accurately determine the high risk level of the service exchange when the high risk levels indicated by multiple risk parameters are different.

Optionally, after performing high risk monitoring on the target service switch, the method further includes:

If the high risk level of the target service switch is advanced, then increase the upstream capped bandwidth value of the target service switch, or reduce the number of downlink servers of the target service switch;

If the high risk level of the target service switch is low, then reduce the upper limit bandwidth value of the target service switch, or increase the number of servers connected to the target service switch.

In a second aspect, a device for monitoring the high risk of a switch running is provided, the device comprising:

The data acquisition module is used to acquire the bandwidth peak value N of the core switch in the target computer room node and the bandwidth peak value M of the target service switch in the historical period;

A bandwidth estimation module, configured to estimate the highest bandwidth B of the target service switch when the core switch is fully loaded according to the peak bandwidth N, the peak bandwidth M, and the uplink bandwidth value X of the core switch;

A parameter generation module, configured to generate a predicted risk parameter T1 corresponding to the target service switch based on the preset predicted bandwidth alarm threshold Z1, the upstream capped bandwidth value Y of the target service switch, and the highest bandwidth B;

A risk monitoring module, configured to monitor the target service switch for running high risks based on the predicted risk parameter T1.

Optionally, the data acquisition module is further configured to count the total rated bandwidth M1 of all servers connected to 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 the preset downlink bandwidth alarm threshold Z2, the uplink capped bandwidth value Y, and the sum of the rated bandwidth 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 and the downlink risk parameter T2.

Optionally, the data acquisition module is further configured to acquire the total uplink port rate V1 and the downlink port total 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 the preset rate ratio alarm threshold Z3, the total rate V1 of the uplink port, and the total rate V2 of the downlink port;

The risk monitoring module is specifically configured to monitor the target service switch for running high risks based on the predicted risk parameter T1 and the rate risk parameter T3.

Optionally, the data acquisition module is further configured to count the total rated bandwidth M1 of all servers connected to 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 the preset downlink bandwidth alarm threshold Z2, the uplink capped bandwidth value Y, and the sum of the rated bandwidth 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 downlink risk parameter T2 and the rate risk parameter T3.

Optionally, the risk monitoring module is specifically used for:

According to each risk parameter and the preset reasonable value interval corresponding to the risk parameter, determine the high risk level of the target service exchange, wherein the risk parameter includes the predicted risk parameter T1, the downlink risk parameter T2 and the rate risk parameter T3, the risk level of running high includes at least three levels: high level, moderate level and low level.

Optionally, the risk monitoring module is specifically used for:

According to each risk parameter and the preset reasonable value range corresponding to the risk parameter, and the risk judgment weight corresponding to each risk parameter, determine the high risk level of the target service exchange.

Optionally, the device further includes a service adjustment module, configured to:

If the high risk level of the target service switch is advanced, then increase the upstream capped bandwidth value of the target service switch, or reduce the number of downlink servers of the target service switch;

If the high risk level of the target service switch is low, then reduce the upper limit bandwidth value of the target service switch, or increase the number of servers connected to the target service switch.

In a third aspect, a switch monitoring device is provided, and the switch monitoring device includes a processor and a memory, at least one instruction, at least one program, a code set or an instruction set are stored in the memory, and the at least one instruction, the The at least one section of program, the code set or the instruction set is loaded and executed by the processor to implement the method for monitoring the high risk of switch failure as described in the first aspect.

In a fourth aspect, a computer-readable storage medium is provided, wherein at least one instruction, at least one section of program, code set or instruction set is stored in the storage medium, and the at least one instruction, the at least one section of program, the code The set or instruction set is loaded and executed by the processor to implement the method for monitoring the high risk of the switch running as described in the first aspect.

The beneficial effects brought by the technical solution provided by the embodiments of the present invention are:

In the embodiment of the present invention, the bandwidth peak value N of the core switch in the target computer room node and the bandwidth peak value M of the target service switch in the historical period are obtained; according to the bandwidth peak value N, the bandwidth peak value M and the uplink bandwidth value X of the core switch, estimate When the core switch is fully loaded, the highest bandwidth B of the target service switch; based on the preset predicted bandwidth alarm threshold Z1 and the upstream capped bandwidth value Y of the target service switch, and the highest bandwidth B, generate the predicted risk parameter T1 corresponding to the target service switch; The predicted risk parameter T1 performs high risk monitoring on the target service switch. In this way, the highest bandwidth of the service switch is estimated by using the actual bandwidth of the core switch and the service switch in the historical period, and the risk parameters are further constructed to monitor the high risk of the service switch, so that the high risk of the service switch can be estimated more accurately and intuitively , reduce the situation that the service quality of the network is affected by the uncontrollable high running of the service switch, and at the same time, it can avoid the phenomenon of low utilization of equipment resources to a certain extent, so as to improve the quality of network service and save the cost of network service.

Description of drawings

In order to more clearly illustrate the technical solutions in the embodiments of the present invention, the drawings that need to be used in the description of the embodiments will be briefly introduced below. Obviously, the drawings in the following description are only some embodiments of the present invention. For those skilled in the art, other drawings can also be obtained based on these drawings without creative effort.

FIG. 1 is a schematic diagram of the architecture of a network system provided by an embodiment of the present invention;

Fig. 2 is a flow chart of a method for monitoring the high risk of a switch running provided by an embodiment of the present invention;

FIG. 3 is a statistical schematic diagram of a downlink server of a switch provided by an embodiment of the present invention;

Fig. 4 is a schematic structural diagram of a device for monitoring the high risk of a switch provided by an embodiment of the present invention;

Fig. 5 is a schematic structural diagram of a device for monitoring the high risk of a switch provided by an embodiment of the present invention;

Fig. 6 is a schematic structural diagram of a switch monitoring device provided by an embodiment of the present invention.

Detailed ways

In order to make the object, technical solution and advantages of the present invention clearer, the implementation manner of the present invention will be further described in detail below in conjunction with the accompanying drawings.

The embodiment of the present invention provides a method for monitoring the high risk of a switch running. The execution subject of the method may be a switch monitoring device used to monitor the running state of the switch in the network system. The switch monitoring device may specifically have a data collection function and a data Any network device that handles a function. Wherein, the network system may include a large number of computer room nodes, and each computer room node may include a core switch, at least one service switch, and multiple servers. The core switch can be used to receive business data inside the nodes in the room and transmit the business data to the outside. The service switch can be deployed between the core switch and the underlying server to receive the business data uploaded by the server and transmit some of the business data in the computer room. The node forwards internally, and uploads some business data to the core switch at the same time. The server is the underlying device used for business processing in the computer room node. The server can be connected to the business switch or directly to the core switch. When the server generates the business data to be uploaded, it can upload the business data to the business switch or directly Upload to the core switch. Each computer room node can also be provided with the above-mentioned switch monitoring equipment, which is used to obtain the operating status of all switches (including core switches and service switches) in the computer room node, so as to monitor the risk of running high for each switch. The architecture of the network system may be shown in FIG. 1 . The switch monitoring device may include a processor, a memory, and a transceiver. The processor may be used to perform the processing in the following process to realize monitoring the high risk of the switch running. The memory may be used to store the data required and generated during the processing, Transceivers can be used to receive and transmit relevant data during processing.

The processing flow shown in FIG. 2 will be described in detail below in conjunction with the specific implementation manner, and the content may be as follows:

Step 201, acquiring the bandwidth peak value N of the core switch in the target computer room node and the bandwidth peak value M of the target service switch within a historical period.

Wherein, the target computer room node may be any computer room node providing business services in the network system, and the target service switch may be any running service switch in the target computer room node.

In implementation, when the target computer room node provides business services externally, the switch monitoring device in the target computer room node can continuously monitor the running status of all the switches in the target computer room node. When monitoring whether a certain service switch (such as a target service switch) has a risk of running high, the switch monitoring device can obtain the bandwidth peak value N of the core switch in the target computer room node and the bandwidth peak value M of the target service switch in the historical period. Here, the historical period may be a specified period before the current time, such as the previous 5 minutes. The monitoring process of the switch monitoring device on the target service switch may be triggered at a preset period, or based on a manual input instruction, or based on other preset conditions.

Step 202, according to the bandwidth peak value N, the bandwidth peak value M and the uplink bandwidth value X of the core switch, estimate the highest bandwidth B of the target service switch when the core switch is fully loaded.

In the implementation, after the switch monitoring device obtains the bandwidth peak value N of the core switch and the bandwidth peak value M of the target service switch, it can estimate the core The highest bandwidth B of the target service switch when the switch is fully loaded. Specifically, based on the bandwidth peak value N and the bandwidth peak value M, the bandwidth comparison between the core switch and the target service switch when the target computer room node provides business services can be estimated first, and then combined with the core switch's uplink bandwidth value X to estimate The highest bandwidth B=M*X/N of the target service switch.

Step 203, 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, generate a predicted risk parameter T1 corresponding to the target service switch.

In implementation, the switch monitoring device can be preset with a predicted bandwidth alarm threshold Z1, when it is predicted that the highest bandwidth ratio of the service switch (that is, the ratio of the highest bandwidth B to the upstream capped bandwidth value Y) exceeds the predicted bandwidth alarm threshold Z1 , the switch monitoring equipment can determine that there is a certain degree of high risk in the service switch. The predicted bandwidth alarm threshold Z1 can be flexibly adjusted by network system technicians according to the real-time status of business services and equipment parameters of business switches to achieve a balance between cost control and overall service quality control. Therefore, it can be understood that different business The values of the predicted bandwidth alarm threshold Z1 corresponding to the switches may be the same or different. In this way, after estimating the highest bandwidth B of the target service switch, the switch monitoring device can generate the target service switch corresponding to Prediction risk parameter T1=B/Y:Z1.

Step 204, based on the predicted risk parameter T1, monitor the high risk of the target service exchange.

In an implementation, after the switch monitoring device generates the predicted risk parameter T1 corresponding to the target service switch, it can monitor the high risk of the target service switch based on the predicted risk parameter T1. Specifically, the smaller T1 is, it means that even if the uplink bandwidth of the core switch of the node in the target computer room reaches the uplink capped bandwidth value X, the risk of running high of the target service switch is relatively small; when T1 is close to 1, it means that the uplink bandwidth of the target service switch The bandwidth ratio may reach the predicted bandwidth alarm threshold Z1, and there is a certain risk of running high; while the larger T1 is, it means that when the uplink bandwidth of the core switch of the target computer room node reaches the uplink capped bandwidth value X, the uplink bandwidth of the target service switch The more likely the proportion is to exceed the predicted bandwidth alarm threshold Z1, that is, the greater the risk of running high.

Optionally, when monitoring the high risk of the switch running, you can also refer to the relationship between the sum of the rated bandwidth of all servers connected to the switch and its upstream capped bandwidth value. The total bandwidth M1; based on the preset downlink bandwidth alarm threshold Z2, the uplink capped bandwidth value Y, and the rated bandwidth sum M1, generate the downlink risk parameter T2 corresponding to the target service switch. Further, the processing of step 204 may be as follows: based on the predicted risk parameter T1 and the downlink risk parameter T2, the target service switch is monitored for running high risk.

In implementation, when the switch monitoring device monitors the high risk of running a target service switch, it can also count the sum of the rated bandwidth M1 of all servers connected to the target service switch. For example, as shown in Figure 3, the service switch A has a Server A1 and service switch B, service switch B is connected with servers B1, B2 and service switch C, service switch C is connected with servers C1 and C2, assuming that the rated bandwidth of each of the above servers is m, therefore, service switch A is connected with All servers include A1, B1, B2, C1, and C2, and the sum of rated bandwidth M1 is 5m. The downlink bandwidth alarm threshold Z2 can also be preset on the switch monitoring device. When it is predicted that the ratio of the sum of the rated bandwidth of all servers downlinked by the service switch to the uplink capped bandwidth value Y of the service switch exceeds the downlink bandwidth alarm threshold Z2, the switch monitors The device can determine that the service switch has a certain degree of risk of running high. Furthermore, the switch monitoring device can generate the downlink risk parameter T2=M1/X:Z2 corresponding to the target service switch based on the above-mentioned downlink bandwidth alarm threshold Z2, the uplink capped bandwidth value Y of the target service switch, and the sum of rated bandwidth M1. In this way, the switch monitoring device can monitor the high risk of the target service switch based on the predicted risk parameter T1 and the downlink risk parameter T2. Among them, the smaller T2 means that even if the service bandwidth of all downlinked servers of the target service switch reaches the rated bandwidth, the risk of running high of the target service switch is relatively small; and the larger T2 means that the service of all downlinked servers of the target service switch When the bandwidth reaches the rated bandwidth, the ratio of the sum of the rated bandwidth of the downlink server M1 to the uplink capped bandwidth value Y is more likely to exceed the downlink bandwidth alarm threshold Z2, that is, the greater the risk of the target service switch running high. It is worth mentioning that the downlink bandwidth alarm threshold Z2 can be flexibly adjusted by network system technicians according to the real-time status of business services and equipment parameters of business switches, so as to achieve a balance between cost control and overall service quality control. Therefore, it can be understood that the values of the downlink bandwidth alarm threshold Z2 corresponding to different service switches may be the same or different.

Optionally, when monitoring the switch to run high risks, you can also refer to the relationship between the total rate of the switch's uplink port and the total rate of the downlink port. Rate V2: Based on the preset rate ratio alarm threshold Z3, the total rate V1 of the uplink port, and the total rate V2 of the downlink port, a rate risk parameter T3 corresponding to the target service switch is generated. Further, the processing of step 204 may be as follows: based on the predicted risk parameter T1 and the rate risk parameter T3, the target service switch is monitored for running high risk.

In implementation, when the switch monitoring device monitors the target service switch for running high risks, it can also obtain the total uplink port rate V1 and the downlink port total rate V2 of the target service switch. The switch monitoring device can also be preset with a rate ratio alarm threshold Z3. When it is predicted that the rate ratio between the downlink port and the uplink port of the service switch exceeds the rate ratio alarm threshold Z3, the switch monitoring device can determine that the service switch has a certain degree of failure. Run high risk. Furthermore, the switch monitoring device can generate a rate risk parameter T3=V2/V1:Z3 corresponding to the target service switch based on the preset rate ratio alarm threshold Z3, the total rate V1 of the uplink port, and the total rate V2 of the downlink port. In this way, the switch monitoring device can monitor the high risk of the target service switch based on the predicted risk parameter T1 and the rate risk parameter T3. Among them, the smaller T3 means that even if the rate of each port of the target service switch reaches saturation, the risk of running high of the target service switch is relatively small; while the larger T3 means that when the rate of all ports of the target service switch reaches saturation, the target service The risk of the switch running high is greater. Here, the rate ratio alarm threshold Z3 can be flexibly adjusted by network system technicians according to the real-time status of business services and equipment parameters of business switches to achieve a balance between cost control and overall service quality control, so it is understandable , the rate ratio alarm threshold Z3 corresponding to different service switches may be the same or different.

It is worth mentioning that when monitoring the high risk of the target service switch, the switch monitoring device can also simultaneously monitor the high risk of the target service switch based on the preset risk parameter T1, the downlink risk parameter T2 and the rate risk parameter T3. It can be seen that the downlink risk parameter T2 and the rate risk parameter T3 are respectively affected by the downlink status and port allocation status of the target service switch. Therefore, only when the downlink status of the target service switch changes or needs to change, the Recalculate the downlink risk parameter T2 in the last downlink state, and then monitor the high risk of the target service switch through the downlink risk parameter T2. The allocation status recalculates the rate risk parameter T3, and then monitors the target service switch for running high risks through the rate risk parameter T3. In addition, the above process of generating the downlink risk parameter T2 and the rate risk parameter T3 can also be applied to the core switch, and then the switch monitoring device can monitor the high risk of the core switch based on the downlink risk parameter T2 and the rate risk parameter T3 of the core switch. monitor.

Optionally, the switch monitoring device can evaluate the high risk of the switch through the reasonable value range of the risk parameter, and the corresponding processing can be as follows: according to each risk parameter and the preset reasonable value range corresponding to the risk parameter, determine the target business The switch runs a high risk level.

Among them, the risk parameters include predictive risk parameters T1, downlink risk parameters T2, and rate risk parameters T3, and the high risk level includes at least three levels: high, moderate, and low.

In implementation, the switch monitoring device may set a corresponding preset reasonable value range for each risk parameter based on empirical data or historical data, so as to evaluate the high risk level of the switch. Specifically, when the value of the risk parameter is within the corresponding preset reasonable value range, it can be considered that the high risk level of the target service switch is moderate; when the value of the risk parameter is smaller than the corresponding preset reasonable value range , it can be considered that the high risk level of the target service switch is low; when the value of the risk parameter is greater than the corresponding preset reasonable value range, it can be considered that the high risk level of the target service switch is high. Of course, the switch monitoring device can further divide the high risk level of the target service switch based on the numerical relationship between the risk parameter and the corresponding preset reasonable value range. The division principle is similar to the above. In this implementation Examples will not be repeated. It can be understood that the above-mentioned process of determining the high risk level is also applicable to the process when the switch monitoring device only performs high risk monitoring based on a single or part of the risk parameters.

Optionally, when determining the high risk level of the service exchange through risk parameters, the degree of influence of each risk parameter on the high risk level can be referred to, and the corresponding processing for determining the high risk level can be as follows: according to each risk parameter The preset reasonable value range corresponding to the risk parameter, and the risk judgment weight corresponding to each risk parameter determine the high risk level of the target service exchange.

In the implementation, according to the degree of influence of different risk parameters on the risk of running high, the risk judgment weight corresponding to each risk parameter can be set on the switch monitoring device. When the determination results of the high risk level are inconsistent, a unified determination result can be obtained through comprehensive analysis through the risk determination weight. Therefore, after the switch monitoring device preliminarily determines the high risk level of the target service switch according to each risk parameter and the preset reasonable value range corresponding to the risk parameter, it can further determine High risk level of the target service switch. For example, if the risk judgment weight corresponding to the predicted risk parameter T1 is 0.2, and the risk judgment weight corresponding to the downlink risk parameter T2 is 0.4, in this way, the risk level of running high is determined to be moderate by the predicted risk parameter T1, and determined by the downlink risk parameter T2 When the risk level of running high is high, it can be determined that the risk level of running high is high according to the corresponding risk judgment values of the two.

In addition, it is also possible to set comprehensive reasonable value intervals corresponding to all risk parameters, that is, after generating multiple risk parameters, you can first calculate the comprehensive risk parameters, and then use the comprehensive risk parameters and comprehensive reasonable value intervals to determine the high risk level of the target service switch.

Optionally, for different high-run risk levels of the service switch, the upstream capped bandwidth value of the service switch and the number of downlink servers can be adjusted in a targeted manner. The corresponding processing can be as follows: If the target service switch has a high risk level If the upper limit bandwidth value of the target service switch is higher, or reduce the number of servers connected to the target service switch; if the high risk level of the target service switch is low, reduce the upper limit bandwidth value of the target The number of servers connected to the target service switch.

In implementation, after the switch monitoring device determines the high risk level of the target service switch, it can make different adjustments for high-level and low-level high-level risks, so as to achieve the effect of improving service quality and reducing equipment costs. Specifically, if the high risk level of the target service switch is high, it is necessary to increase the redundancy of the upstream bandwidth of the target service switch to a certain extent, so that the upstream bandwidth load capacity of the target service switch can be enhanced on the one hand, that is, the target service switch can be increased. The upper limit bandwidth value of the switch, on the other hand, can reduce the upstream bandwidth load demand of the target service switch, that is, reduce the number of servers connected to the target service switch; The redundancy of the upstream bandwidth of the target service switch, so on the one hand, the upstream bandwidth load capacity of the target service switch can be weakened, that is, the upstream capped bandwidth value of the target service switch can be reduced; on the other hand, the upstream bandwidth load demand of the target service switch can be increased. That is, increase the number of servers connected to the target service switch. It should be noted that the above adjustment process for the service switch is not applicable to the core switch of the node in the computer room.

In the embodiment of the present invention, the bandwidth peak value N of the core switch in the target computer room node and the bandwidth peak value M of the target service switch in the historical period are obtained; according to the bandwidth peak value N, the bandwidth peak value M and the uplink bandwidth value X of the core switch, estimate When the core switch is fully loaded, the highest bandwidth B of the target service switch; based on the preset predicted bandwidth alarm threshold Z1 and the upstream capped bandwidth value Y of the target service switch, and the highest bandwidth B, generate the predicted risk parameter T1 corresponding to the target service switch; The predicted risk parameter T1 performs high risk monitoring on the target service switch. In this way, the highest bandwidth of the service switch is estimated by using the actual bandwidth of the core switch and the service switch in the historical period, and the risk parameters are further constructed to monitor the high risk of the service switch, so that the high risk of the service switch can be estimated more accurately and intuitively , reduce the situation that the service quality of the network is affected by the uncontrollable high running of the service switch, and at the same time, it can avoid the phenomenon of low utilization of equipment resources to a certain extent, so as to improve the quality of network service and save the cost of network service.

Based on the same technical concept, the embodiment of the present invention also provides a device for monitoring the high risk of switch running, as shown in Figure 4, the device includes:

The data acquisition module 401 is used to acquire the bandwidth peak value N of the core switch in the target computer room node and the bandwidth peak value M of the target service switch in the historical period;

A bandwidth estimation module 402, configured to estimate the highest bandwidth B of the target service switch when the core switch is fully loaded according to the peak bandwidth N, the peak bandwidth M, and the uplink bandwidth value X of the core switch ;

A parameter generation module 403, configured to generate a predicted risk parameter T1 corresponding to the target service switch 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;

A risk monitoring module 404, configured to monitor the target service exchange for running high risks based on the predicted risk parameter T1.

Optionally, the data acquisition module 401 is further configured to count the total rated bandwidth M1 of all servers connected to the target service switch;

The parameter generating module 403 is further configured to generate a downlink risk parameter T2 corresponding to the target service switch based on the preset downlink bandwidth alarm threshold Z2, the uplink capped bandwidth value Y, and the sum of the rated bandwidth 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 and the downlink risk parameter T2.

Optionally, the data acquisition module 401 is also configured to acquire the total uplink port rate V1 and the downlink port total rate 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 the preset rate ratio alarm threshold Z3, the total rate V1 of the uplink port, and the total rate V2 of the downlink port;

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 and the rate risk parameter T3.

Optionally, the data acquisition module 401 is further configured to count the total rated bandwidth M1 of all servers connected to the target service switch;

The parameter generating module 403 is further configured to generate a downlink risk parameter T2 corresponding to the target service switch based on the preset downlink bandwidth alarm threshold Z2, the uplink capped bandwidth value Y, and the sum of the rated bandwidth 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 downlink risk parameter T2 and the rate risk parameter T3.

Optionally, the risk monitoring module 404 is specifically used for:

According to each risk parameter and the preset reasonable value interval corresponding to the risk parameter, determine the high risk level of the target service exchange, wherein the risk parameter includes the predicted risk parameter T1, the downlink risk parameter T2 and the rate risk parameter T3, the risk level of running high includes at least three levels: high level, moderate level and low level.

Optionally, the risk monitoring module 404 is specifically used for:

According to each risk parameter and the preset reasonable value range corresponding to the risk parameter, and the risk judgment weight corresponding to each risk parameter, determine the high risk level of the target service exchange.

Optionally, as shown in FIG. 5, the device further includes a service adjustment module 405, configured to:

If the high risk level of the target service switch is advanced, then increase the upstream capped bandwidth value of the target service switch, or reduce the number of downlink servers of the target service switch;

If the high risk level of the target service switch is low, then reduce the upper limit bandwidth value of the target service switch, or increase the number of servers connected to the target service switch.

In the embodiment of the present invention, the bandwidth peak value N of the core switch in the target computer room node and the bandwidth peak value M of the target service switch in the historical period are obtained; according to the bandwidth peak value N, the bandwidth peak value M and the uplink bandwidth value X of the core switch, estimate When the core switch is fully loaded, the highest bandwidth B of the target service switch; based on the preset predicted bandwidth alarm threshold Z1 and the upstream capped bandwidth value Y of the target service switch, and the highest bandwidth B, generate the predicted risk parameter T1 corresponding to the target service switch; The predicted risk parameter T1 performs high risk monitoring on the target service switch. In this way, the highest bandwidth of the service switch is estimated by using the actual bandwidth of the core switch and the service switch in the historical period, and the risk parameters are further constructed to monitor the high risk of the service switch, so that the high risk of the service switch can be estimated more accurately and intuitively , reduce the situation that the service quality of the network is affected by the uncontrollable high running of the service switch, and at the same time, it can avoid the phenomenon of low utilization of equipment resources to a certain extent, so as to improve the quality of network service and save the cost of network service.

It should be noted that: when the device for monitoring the high risk of the switchboard provided by the above embodiment monitors the high risk of the switchboard, the division of the above-mentioned functional modules is used as an example for illustration. In practical applications, the above-mentioned functions can be allocated by Completion of different functional modules means that the internal structure of the device is divided into different functional modules to complete all or part of the functions described above. In addition, the device for monitoring the high risk of a switch provided by the above embodiment and the embodiment of the method for monitoring the high risk of a switch belong to the same concept, and its specific implementation process is detailed in the method embodiment, and will not be repeated here.

Fig. 6 is a schematic structural diagram of a switch monitoring device provided by an embodiment of the present invention. The switch monitoring device 600 may have relatively large differences due to different configurations or performances, and may include one or more central processing units 622 (for example, one or more processors) and memory 632, and one or more storage application programs 642 Or a storage medium 630 for data 644 (for example, one or more mass storage devices). Wherein, the memory 632 and the storage medium 630 may be temporary storage or persistent storage. The program stored in the storage medium 630 may include one or more modules (not shown in the figure), and each module may include a series of instruction operations for the switch monitoring device 600 . Furthermore, the central processing unit 622 may be configured to communicate with the storage medium 630 , and execute a series of instruction operations in the storage medium 630 on the switch monitoring device 600 .

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 and output interfaces 658, one or more keyboards 656, and/or, one or more operating System 641, such as Windows Server, Mac OS X, Unix, Linux, FreeBSD, etc.

The switch monitoring device 600 may include a memory, and one or more programs, wherein the one or more programs are stored in the memory, and are configured to be executed by one or more processors, including for Carry out the above command to monitor the switch running high risk.

Those of ordinary skill in the art can understand that all or part of the steps for implementing the above embodiments can be completed by hardware, and can also be completed by instructing related hardware through a program. The program can be stored in a computer-readable storage medium. The above-mentioned The storage medium mentioned may be a read-only memory, a magnetic disk or an optical disk, and the like.

The above descriptions are only preferred embodiments of the present invention, and are not intended to limit the present invention. Any modifications, equivalent replacements, improvements, etc. made within the spirit and principles of the present invention shall be included in the protection of the present invention. within range.

Claims (16)

1. a kind of method that monitoring interchanger runs high risk, which is characterized in that the described method includes:

Obtain the bandwidth peak N of the core switch in historical period in target computer room node and the bandwidth of target service interchanger Peak value M；

It is bound bandwidth value X according to the uplink of the bandwidth peak N, the bandwidth peak M and the core switch, estimates and work as The highest bandwidth B of target service interchanger described in the core switch full load；

Uplink based on preset prediction bandwidth alarm threshold value Z1 and the target service interchanger binds bandwidth value Y, Yi Jisuo Highest bandwidth B is stated, the corresponding forecasting risk parameter T1 of the target service interchanger is generated；

The target service interchanger is carried out based on the forecasting risk parameter T1 to run high risk monitoring.

2. the method according to claim 1, wherein the method also includes:

Count the nominal bandwidth summation M1 of the Servers-all of the target service interchanger second line of a couplet；

It is bound bandwidth value Y and the nominal bandwidth summation M1 based on preset second line of a couplet bandwidth alarm threshold value Z2 and the uplink, Generate the corresponding second line of a couplet risk parameter T2 of the target service interchanger；

It is described that the target service interchanger is carried out based on the forecasting risk parameter T1 to run high risk monitoring, comprising:

The target service interchanger is carried out running high wind based on the forecasting risk parameter T1 and the second line of a couplet risk parameter T2 Danger monitoring.

3. the method according to claim 1, wherein the method also includes:

Obtain the total rate V1 of uplink port and the total rate V2 of downlink port of the target service interchanger；

Based on the preset speed ratio alarm threshold value Z3 and total rate V1 of the uplink port and the total rate of the downlink port V2 generates the corresponding rate risk parameter T3 of the target service interchanger；

It is described that the target service interchanger is carried out based on the forecasting risk parameter T1 to run high risk monitoring, comprising:

The target service interchanger is carried out running high wind based on the forecasting risk parameter T1 and the rate risk parameter T3 Danger monitoring.

4. according to the method described in claim 3, it is characterized in that, the method also includes:

Count the nominal bandwidth summation M1 of the Servers-all of the target service interchanger second line of a couplet；

It is bound bandwidth value Y and the nominal bandwidth summation M1 based on preset second line of a couplet bandwidth alarm threshold value Z2 and the uplink, Generate the corresponding second line of a couplet risk parameter T2 of the target service interchanger；

It is described that the target service interchanger is run based on the forecasting risk parameter T1 and rate risk parameter T3 High risk monitoring, comprising:

Based on the forecasting risk parameter T1, the second line of a couplet risk parameter T2 and the rate risk parameter T3 to the target industry Business interchanger carries out running high risk monitoring.

5. according to the method described in claim 4, it is characterized in that, described carry out race high risk to the target service interchanger Monitoring, comprising:

According to each risk parameter default reasonable value section corresponding with the risk parameter, the target service exchange is determined The race high-risk grade of machine, wherein the risk parameter include the forecasting risk parameter T1, the second line of a couplet risk parameter T2 and The rate risk parameter T3, the race high-risk grade include at least advanced, moderate, rudimentary three-level.

6. according to the method described in claim 5, it is characterized in that, described according to each risk parameter and the risk parameter pair The default reasonable value section answered, determines the race high-risk grade of the target service interchanger, comprising:

It is corresponding according to each risk parameter default reasonable value section corresponding with the risk parameter and each risk parameter Risk determine weight, determine the race high-risk grade of the target service interchanger.

7. according to the method described in claim 6, it is characterized in that, described carry out race high risk to the target service interchanger After monitoring, further includes:

If the race high-risk grade of the target service interchanger be it is advanced, improve the target service interchanger uplink envelope Heading tape width values, or reduce the quantity of the server of the target service interchanger second line of a couplet；

If the race high-risk grade of the target service interchanger be it is rudimentary, reduce the target service interchanger uplink envelope Heading tape width values, or increase the quantity of the server of the target service interchanger second line of a couplet.

8. the device that a kind of monitoring interchanger runs high risk, which is characterized in that described device includes:

Data acquisition module, for obtaining the bandwidth peak N and mesh of the core switch in historical period in target computer room node Mark the bandwidth peak M of service switch；

Bandwidth estimates module, for the uplink according to the bandwidth peak N, the bandwidth peak M and the core switch Bind bandwidth value X, estimates the highest bandwidth B of the target service interchanger described in the core switch full load；

Parameter generation module, for the uplink envelope based on preset prediction bandwidth alarm threshold value Z1 and the target service interchanger Heading tape width values Y and the highest bandwidth B generate the corresponding forecasting risk parameter T1 of the target service interchanger；

Risk monitoring and control module runs high risk prison for carrying out based on the forecasting risk parameter T1 to the target service interchanger Control.

9. device according to claim 8, which is characterized in that the data acquisition module is also used to count the target The nominal bandwidth summation M1 of the Servers-all of the service switch second line of a couplet；

The parameter generation module is also used to the bandwidth value Y that binds based on preset second line of a couplet bandwidth alarm threshold value Z2 and the uplink, And the nominal bandwidth summation M1, generate the corresponding second line of a couplet risk parameter T2 of the target service interchanger；

The risk monitoring and control module is specifically used for based on the forecasting risk parameter T1 and second line of a couplet risk parameter T2 to described Target service interchanger carries out running high risk monitoring.

10. device according to claim 8, which is characterized in that the data acquisition module is also used to obtain the target The total rate V1 of the uplink port of the service switch and total rate V2 of downlink port；

The parameter generation module is also used to based on the preset speed ratio alarm threshold value Z3 and total rate V1 of the uplink port, And the total rate V2 of downlink port, generate the corresponding rate risk parameter T3 of the target service interchanger；

The risk monitoring and control module is specifically used for based on the forecasting risk parameter T1 and rate risk parameter T3 to described Target service interchanger carries out running high risk monitoring.

11. device according to claim 10, which is characterized in that the data acquisition module is also used to count the mesh Mark the nominal bandwidth summation M1 of the Servers-all of the service switch second line of a couplet；

The parameter generation module is also used to the bandwidth value Y that binds based on preset second line of a couplet bandwidth alarm threshold value Z2 and the uplink, And the nominal bandwidth summation M1, generate the corresponding second line of a couplet risk parameter T2 of the target service interchanger；

The risk monitoring and control module is specifically used for based on the forecasting risk parameter T1, the second line of a couplet risk parameter T2 and described Rate risk parameter T3 carries out the target service interchanger to run high risk monitoring.

12. device according to claim 11, which is characterized in that the risk monitoring and control module is specifically used for:

According to each risk parameter default reasonable value section corresponding with the risk parameter, the target service exchange is determined The race high-risk grade of machine, wherein the risk parameter include the forecasting risk parameter T1, the second line of a couplet risk parameter T2 and The rate risk parameter T3, the race high-risk grade include at least advanced, moderate, rudimentary three-level.

13. device according to claim 12, which is characterized in that the risk monitoring and control module is specifically used for:

It is corresponding according to each risk parameter default reasonable value section corresponding with the risk parameter and each risk parameter Risk determine weight, determine the race high-risk grade of the target service interchanger.

14. device according to claim 13, which is characterized in that described device further includes business reorganization module, is used for:

If the race high-risk grade of the target service interchanger be it is advanced, improve the target service interchanger uplink envelope Heading tape width values, or reduce the quantity of the server of the target service interchanger second line of a couplet；

If the race high-risk grade of the target service interchanger be it is rudimentary, reduce the target service interchanger uplink envelope Heading tape width values, or increase the quantity of the server of the target service interchanger second line of a couplet.

15. a kind of interchanger monitoring device, which is characterized in that the interchanger monitoring device includes processor and memory, institute It states and is stored at least one instruction, at least a Duan Chengxu, code set or instruction set in memory, at least one instruction, institute An at least Duan Chengxu, the code set or instruction set is stated to be loaded by the processor and executed to realize such as claim 1 to 7 times The method that monitoring interchanger runs high risk described in one.

16. a kind of computer readable storage medium, which is characterized in that be stored at least one instruction, extremely in the storage medium A few Duan Chengxu, code set or instruction set, at least one instruction, an at least Duan Chengxu, the code set or instruction The method that collection is loaded by processor and executed to realize the monitoring interchanger race high risk as described in claim 1 to 7 is any.