TWI780954B - Electronic device and method for determining checking strategy of network terminal - Google Patents

Abstract

An electronic device and a method for determining a checking strategy of a network terminal is provided. The method includes: receiving traffic information corresponding to an aggregation circuit through a transceiver, wherein the network terminal is accommodated in the aggregation circuit; utilizing the traffic information to obtain a weight corresponding to the network terminal; and utilizing the weight to determine the checking strategy corresponding to the network terminal, and outputting the checking strategy through the transceiver.

Description

Electronic device and method for determining detection strategy of network terminal

The present invention relates to an electronic device and method for determining a detection strategy of a network terminal.

When performing traffic inspection of network terminals, it often takes a long time to complete due to the large number of network terminals accommodated by the aggregation circuit. In addition, since the traffic of most network terminals has no significant change compared with the past, it is not effective to spend time and resources on these network terminals.

In addition, if the traffic improvement project cannot be completed in time, network terminals that have not yet been inspected may also be repeatedly included in the inspection list, thus wasting inspection time and resources. Based on this, it is necessary to propose an improved electronic device and method for determining a detection strategy of a network terminal.

The present invention provides an electronic device and method for determining the detection strategy of a network terminal, which can improve the efficiency of network terminal detection.

The electronic device for determining the detection strategy of the network terminal of the present invention includes a transceiver and a processor. The processor is coupled to the transceiver and configured to: receive traffic information corresponding to the collection circuit through the transceiver, wherein the network terminal is accommodated in the collection circuit; use the traffic information to obtain a weight corresponding to the network terminal; and use the weight A detection strategy corresponding to the network terminal is determined, and the detection strategy is output through the transceiver.

The method for determining the detection strategy of the network terminal of the present invention includes: receiving traffic information corresponding to the collection circuit through the transceiver, wherein the network terminal is accommodated in the collection circuit; using the traffic information to obtain the weight corresponding to the network terminal; And use the weight to determine the detection strategy corresponding to the network terminal, and output the detection strategy through the transceiver.

Based on the above, the electronic device and method for determining the detection strategy of the network terminal of the present invention can further use the weight to determine whether to detect the network terminal after obtaining the weight of the network terminal by using the traffic information and the threshold value, and at the same time Weights can be used to determine the detection order of multiple network terminals. In addition, the management list and the detection list can be compared to avoid frequent detection of the same network terminal, thereby improving the efficiency of detection of the network terminal.

FIG. 1 is a schematic diagram of an electronic device for determining a detection strategy of a network terminal according to an embodiment of the present invention. The electronic device 100 may include a transceiver 110 , a processor 120 and a storage medium 130 .

The transceiver 110 transmits and receives signals in a wireless or wired manner. The transceiver 110 may also perform operations such as low noise amplification, impedance matching, frequency mixing, up or down frequency conversion, filtering, amplification, and the like.

The processor 120 is, for example, a central processing unit (central processing unit, CPU), or other programmable general purpose or special purpose micro control unit (micro control unit, MCU), microprocessor (microprocessor), digital signal processing Digital signal processor (DSP), programmable controller, application specific integrated circuit (ASIC), graphics processing unit (graphics processing unit, GPU), image signal processor (image signal processor, ISP) ), image processing unit (image processing unit, IPU), arithmetic logic unit (arithmetic logic unit, ALU), complex programmable logic device (complex programmable logic device, CPLD), field programmable logic gate array (field programmable gate array , FPGA) or other similar components or combinations of the above components. The processor 120 can be coupled to the transceiver 110 and the storage medium 130 .

The storage medium 130 is, for example, any type of fixed or removable random access memory (random access memory, RAM), read-only memory (read-only memory, ROM), flash memory (flash memory) , hard disk drive (hard disk drive, HDD), solid state drive (solid state drive, SSD) or similar elements or a combination of the above-mentioned elements for storing multiple modules or various application programs executable by the processor 120 .

FIG. 2 is a flowchart of a method for determining a detection strategy of a network terminal according to an embodiment of the present invention, wherein the method can be implemented by the electronic device 100 .

In step S201, the processor 120 may receive traffic information corresponding to the aggregation circuit through the transceiver 110, wherein the network terminal is accommodated in the aggregation circuit.

Further, the processor 120 can obtain the uplink network terminal set and the downlink network terminal set corresponding to the aggregation circuit according to the traffic information. In this embodiment, the "set of uplink network terminals" is a set of network terminals that transmit packets to the aggregation circuit. That is to say, the network terminals in the uplink network terminal set input data to the sink circuit. On the other hand, the "downlink network terminal set" is a set of network terminals receiving packets through the aggregation circuit. That is to say, the collection circuit outputs data to the network terminals in the downlink network terminal set.

In response to the intersection of the uplink network terminal set and the downlink network terminal set including the network terminal, the processor 120 may determine that the network terminal is accommodated in the aggregation circuit. Specifically, since the aggregation circuit uses multi-protocol label switching (MPLS) to process the traffic, the processor 120 cannot directly determine the source or destination of the traffic according to the traffic label. Therefore, the processor 120 needs to obtain the intersection of the set of uplink network terminals and the set of downlink network terminals. If the network terminal is in the intersection, the processor 120 may determine that the network terminal is accommodated by the aggregation circuit. Table 1 sink circuit contain network terminals LAG circuit 1 Network Terminal 0001 … … LAG circuit 1 Network terminal 1000 single circuit 2 Internet terminal 1001 … … single circuit 2 Network terminal 1500 single circuit 3 Internet terminal 1501 … … single circuit 3 Network Terminal 2000 single circuit 4 Internet Terminal 2001 … … single circuit 4 Network terminal 2500 … …

Table 1 is an example of the result of the processor 120 judging the network terminal accommodated by the collector circuit. The aggregation circuit may include at least one link aggregation group (LAG) circuit or at least one single circuit, wherein the LAG circuit includes multiple single circuits. LAG circuit 1 in Table 1 can accommodate multiple network terminals such as network terminal 0001, network terminal 0002, ..., network terminal 1000, and a single circuit 2 can accommodate network terminal 1001, network terminal 1002, ..., network Road terminal 1500 and other network terminals, and so on.

In step S202, the processor 120 can use the traffic information to obtain the weight corresponding to the network terminal.

Further, the processor 120 may use the traffic information corresponding to the aggregation circuit to obtain the weight corresponding to the network terminal in response to the network terminal being accommodated in the aggregation circuit. For example, since the network terminal 0001 in Table 1 is accommodated in the aggregation circuit "LAG circuit 1", the processor 120 can use the traffic information corresponding to the aggregation circuit "LAG circuit 1" to obtain the weight of the network terminal 0001.

In one embodiment, the processor 120 may receive related traffic of each circuit in the collection circuit according to a fixed cycle. Tables 2 to 4 are examples of service information. In these examples, the processor 120 collects the traffic of each circuit in the aggregation circuit in a period of 5 minutes. Table 2 Service Information on 2021/07/01 sink circuit Circuit Bandwidth (Mbps) Daily peak traffic (Mbps) 5 minutes traffic (Mbps) 00:00 5 minutes traffic (Mbps) 00:05 … 5 minutes traffic (Mbps) 23:55 LAG circuit 1 2000 1800 1500 1400 … 1450 single circuit 2 1000 800 750 700 … 750 single circuit 3 1000 880 800 850 … 850 single circuit 4 1000 350 250 220 … 300 … … … … … … … Table 3 Service Information on 2021/06/30 sink circuit Circuit Bandwidth (Mbps) Daily peak traffic (Mbps) 5 minutes traffic (Mbps) 00:00 5 minutes traffic (Mbps) 00:05 … 5 minutes traffic (Mbps) 23:55 LAG circuit 1 2000 1850 1550 1450 … 1500 single circuit 2 1000 850 800 750 … 800 single circuit 3 1000 900 850 870 … 870 single circuit 4 1000 400 300 270 … 350 … … … … … … … Table 4 Service information on the date 2021/06/29 sink circuit Circuit Bandwidth (Mbps) Daily peak traffic (Mbps) 5 minutes traffic (Mbps) 00:00 5 minutes traffic (Mbps) 00:05 … 5 minutes traffic (Mbps) 23:55 LAG circuit 1 2000 1750 1450 1350 … 1400 single circuit 2 1000 750 700 650 … 700 single circuit 3 1000 860 750 830 … 830 single circuit 4 1000 300 200 170 … 250 … … … … … … …

FIG. 3 is a flow chart illustrating the steps of using traffic information to obtain weights corresponding to network terminals according to an embodiment of the present invention. FIG. 3 more specifically describes part of the details of step S202. This embodiment is used to detect the type change of the circuit traffic. In this embodiment, the traffic information received by the processor 120 through the transceiver 110 may include a current traffic set and a historical traffic set associated with a historical period. For example, the historical transaction collection can be a collection of 4032 5-minute transactions in the past 2 weeks (that is, the historical period), and the current transaction collection can be the current day (assuming that the current day is 2021/07/01) A set of 288 5-minute traffic, but the present invention is not limited thereto.

In an embodiment, the current traffic set and the historical traffic set may correspond to a plurality of circuits in the aggregation circuit (ie, LAG circuits in the aggregation circuit). In one embodiment, the current traffic set and the historical traffic set may correspond to a single circuit in the aggregation circuit.

The processor 120 can use the historical traffic set to obtain a plurality of traffic averages and a plurality of traffic standard deviations associated with the historical period. In this embodiment, the number of traffic may represent the number of bits transmitted by the traffic. Therefore, the traffic average may represent the average number of bits transmitted by a traffic.

In step S301, the processor 120 may obtain a historical transaction set in the transaction information.

In step S302, the processor 120 may filter outliers in the historical traffic set.

In step S303, the processor 120 may obtain a plurality of traffic averages and a plurality of traffic standard deviations associated with the historical period. The processor 120 can use the filtered historical traffic set to calculate traffic averages and traffic standard deviations associated with the historical period. For example, the processor 120 can use a total of 4032 5-minute transactions in the past 2 weeks (that is, the historical period is the past 14 days) in the historical transaction set to calculate 24 averages of traffic and 24 Communication standards are poor. In other words, the processor 120 can use the collection of the traffic of the first hour (for example: 24:00 to 01:00) of each day in the past 14 days to calculate the traffic average and the traffic standard deviation of the first hour, Use the collection of traffic in the second hour (for example: 01:00 to 02:00) of each day in the past 14 days to calculate the average traffic and standard deviation of the traffic in the second hour, ... until using the traffic in the past 14 days The collection of traffic in the 24th hour of each day calculates the traffic mean and traffic standard deviation of the 24th hour (for example: 23:00 to 24:00).

In step S304, the processor 120 can obtain an upper bound limit (UBL) curve and a lower bound limit (LBL) curve by using multiple traffic averages and multiple traffic standard deviations. curve. For example, the processor 120 may connect the aforementioned 24 traffic averages into a line to obtain a traffic average curve. Then, for each traffic mean, the processor 120 may add six times the corresponding traffic standard deviation to the traffic mean to generate an upper limit point. The processor 120 may connect the 24 upper limit points respectively corresponding to the 24 traffic averages to obtain a traffic average upper limit curve. On the other hand, the processor 120 may subtract six times the corresponding traffic standard deviation from the traffic mean to generate the lower bound point. The processor 120 may connect the 24 lower limit points respectively corresponding to the 24 traffic averages to obtain the traffic average lower limit curve.

The processor 120 can calculate the weight of the network terminals accommodated by the circuit according to the alarm threshold and the warning threshold, wherein the warning threshold is smaller than the warning threshold. The processor 120 can obtain the current traffic set corresponding to the circuit. In response to the number of traffic in the current traffic set that is larger than the traffic average upper limit curve or smaller than the traffic average lower limit curve is greater than the alarm threshold value, the processor 120 may add a second weight value (for example: 2) to the weight, Wherein the traffic corresponds to the plurality of time periods. In response to the amount of traffic being greater than the warning threshold and less than or equal to the warning threshold, the processor 120 may add a first weight value (for example: 1) to the weight. The processor 120 can obtain the warning threshold and the warning threshold stored in the storage medium 130 from the storage medium 130 .

In step S305, the processor 120 may obtain the current traffic set in the traffic information. Table 5 is an example of the current traffic set. The current transaction set in Table 5 is 288 5-minute transactions on the day 2021/07/01 in Table 2. Table 5 Current Service Set for Date 2021/07/01 sink circuit 5 minutes traffic (Mbps) 00:00 5 minutes traffic (Mbps) 00:05 … 5 minutes traffic (Mbps) 23:55 LAG circuit 1 1500 1400 … 1450 single circuit 2 750 700 … 750 single circuit 3 800 850 … 850 single circuit 4 250 220 … 300 … … … … …

In the example of Table 5, the current traffic set of the date 2021/07/01 (ie: 5 minutes traffic 00:00, 5 minutes traffic 00:05, ... 5 minutes traffic 23:55, a total of 288 5 minute traffic) can correspond to multiple circuits in the collection circuit (ie: LAG circuit), and can correspond to a single circuit in the collection circuit. The processor 120 can calculate the traffic average upper limit curve and the traffic average lower limit curve corresponding to the date 2021/07/01 according to the information in Table 5.

Table 6 is an example of the current traffic set, the warning threshold and the warning threshold, wherein the current traffic set corresponds to 288 5-minute traffic on the date 2021/07/01. Table 6 sink circuit The number of transactions in the current transaction set that are greater than the upper limit curve of the average number of transactions or less than the lower limit curve of the average number of transactions Early warning threshold Alarm Threshold LAG circuit 1 0 20 144 single circuit 2 0 20 144 single circuit 3 32 20 144 single circuit 4 6 20 144 … … … …

In step S306, the processor 120 may determine whether the number of the traffic in the current traffic set is larger than the upper limit curve of the average traffic number or smaller than the lower limit curve of the average traffic number is greater than the alarm threshold.

If the processor 120 judges that the number of traffic in the current traffic set that is greater than the upper limit curve of the average number of traffic or less than the lower limit curve of the average number of traffic is greater than the alarm threshold (the judgment result of step S306 is "Yes"), then in step S307 , the processor 120 may add the second weight value to the weight.

If the processor 120 determines that the number of traffic in the current traffic set that is greater than the upper limit curve of the average number of traffic or lower than the lower limit curve of the average number of traffic is less than or equal to the alarm threshold (the judgment result of step S306 is "No"), then in In step S308, the processor 120 may determine whether the number of the traffic in the current traffic set is larger than the upper limit curve of the average traffic number or smaller than the lower limit curve of the average traffic number is greater than the warning threshold.

If the processor 120 judges that the number of traffic in the current traffic set that is greater than the upper limit curve of the average number of traffic or less than the lower limit curve of the average number of traffic is greater than the warning threshold (the judgment result of step S308 is "yes"), then in step S308 In S309, the processor 120 may add the first weight value to the weight.

If the processor 120 judges that the number of traffic in the current traffic set that is greater than the upper limit curve of the average traffic value or smaller than the lower limit curve of the average traffic value is less than or equal to the warning threshold (the judgment result of step S308 is "No"), then In step S310, the processor 120 may not add the weight value to the weight.

Taking Table 6 as an example, neither LAG circuit 1 nor single circuit 2 has any 5-minute traffic volume (that is, the number of bits transmitted by traffic within 5 minutes) that is greater than the upper limit curve of the traffic average number or smaller than the traffic average number lower limit curve. A single circuit 3 has 32 5-minute traffic whose quantity is greater than the upper limit curve of the average number of traffic or smaller than the lower limit curve of the average number of traffic. The first weight value is added to the weight of the network terminals accommodated by the single circuit 3 . In addition, the processor 120 may add the network terminals 1501 - 2000 accommodated in the single circuit 3 to the check list according to Table 1. The processor 120 can store the check list in the storage medium 130 . In addition, the number of 6 5-minute traffic in the single circuit 4 is greater than the upper limit curve of the average traffic number or smaller than the lower limit curve of the average traffic number. Since 6 is smaller than the warning threshold value 20, the processor 120 may not increase the weight value to the weight value.

FIG. 4 is a flowchart illustrating the steps of obtaining weights corresponding to network terminals by using traffic information according to another embodiment of the present invention. FIG. 4 more specifically describes part of the details of step S202. This embodiment is used to detect the heavy load of a single circuit. In this embodiment, the collection circuit may include a single circuit. The traffic information received by the processor 120 through the transceiver 110 may include a plurality of peak traffic respectively corresponding to a plurality of time periods, wherein the plurality of peak traffic corresponds to a single circuit.

In step S401, the processor 120 may obtain a plurality of traffic peaks corresponding to a plurality of time periods in the traffic information. Please refer to the aforementioned Tables 2 to 4, assuming that the multiple time periods are the date 2021/07/01, the date 2021/06/30, and the date 2021/06/29, the processor 120 can obtain the communication information shown in Table 2 Get the daily peak traffic of single circuit 2 on 2021/07/01, the daily peak traffic of single circuit 3 on 2021/07/01, and the daily peak traffic of single circuit 4 on 2021/07/01, etc. . Next, the processor 120 obtains the daily peak traffic of the single circuit 2 on the date 2021/06/30, the daily peak traffic of the single circuit 3 on the date 2021/06/30, and the daily peak traffic of the single circuit 4 on the date 2021/06/30 from Table 3. The daily peak traffic of 30..., and obtain the daily peak traffic of single circuit 2 on date 2021/06/29, the daily peak traffic of single circuit 3 on date 2021/06/29, and the single circuit 4 on date from Table 4 Daily peak traffic on 2021/06/29.

In step S402, the processor 120 can use multiple peak traffic to obtain average bandwidth usage corresponding to multiple time periods. Specifically, for a period of time, the processor 120 can calculate the ratio of the peak traffic of the circuit to the circuit bandwidth of the circuit to obtain the bandwidth usage of the circuit. After obtaining a plurality of bandwidth utilization rates respectively corresponding to the plurality of time periods, the processor 120 may calculate an average of the plurality of bandwidth utilization rates to obtain an average bandwidth utilization rate.

In step S403, the processor 120 may obtain the warning threshold and the warning threshold. For example, the processor 120 may obtain the warning threshold and the warning threshold stored in the storage medium 130 from the storage medium 130 .

Table 7 is an example. Table 7 Average Bandwidth Usage Rate, Early Warning Threshold and Alarm Threshold from 2021/06/29 to 2021/07/01 (3 days) sink circuit Circuit Bandwidth (Mbps) 3-day average peak traffic (Mbps) 3-day average bandwidth usage (%) Early warning threshold (%) Alarm Threshold (%) LAG circuit 1 none none none none none single circuit 2 1000 800 80 70 85 single circuit 3 1000 880 88 70 85 single circuit 4 1000 350 35 70 85 … … … … … …

The processor 120 can calculate the weight of the network terminals accommodated by the single circuit according to the average bandwidth usage, the warning threshold and the warning threshold corresponding to the single circuit. In response to the average bandwidth usage being greater than the alarm threshold, the processor 120 may add the second weight value to the weight. In response to the average bandwidth usage being greater than the warning threshold and less than or equal to the warning threshold, the processor 120 may add the first weight value to the weight.

Specifically, in step S404, the processor 120 may determine whether the average bandwidth usage is greater than an alarm threshold.

If the processor 120 determines that the average bandwidth usage is greater than the alarm threshold (the determination result of step S404 is "Yes"), then in step S405, the processor 120 may add the second weight value to the weight.

If the processor 120 determines that the average bandwidth utilization is less than or equal to the warning threshold (the determination result of step S404 is "No"), then in step S406, the processor 120 may determine whether the average bandwidth utilization is greater than the warning threshold.

If the processor 120 determines that the average bandwidth utilization rate is greater than the warning threshold (the determination result of step S406 is "Yes"), then in step S407, the processor 120 may add the first weight value to the weight.

If the processor 120 determines that the average bandwidth utilization rate is less than or equal to the warning threshold (the determination result of step S406 is "No"), then in step S408, the processor 120 may not add the weight value to the weight.

Taking Table 7 as an example, since the 3-day average bandwidth utilization rate of the single circuit 2 of 80% is greater than the warning threshold of 70% and less than the warning threshold of 85%, the processor 120 may add the first weight value to the weight. In addition, the processor 120 may add the network terminals 1001 - 1500 accommodated in the single circuit 2 to the checklist according to Table 1.

The 3-day average bandwidth utilization rate of the single circuit 3 is 88% greater than the alarm threshold value of 85%, and the processor 120 may add the second weight value to the weight. In addition, the processor 120 may add the network terminals 1501 - 2000 accommodated in the single circuit 3 to the check list according to Table 1.

If the 3-day average bandwidth usage rate of the single circuit 4 is 35% less than the warning threshold 70%, the processor 120 may not increase the weight value to the weight. In addition, the processor 120 may not add the network terminal accommodated by the single circuit 4 into the detection list.

The processor 120 can store the check list in the storage medium 130 .

FIG. 5 is a flow chart illustrating the steps of using traffic information to obtain weights corresponding to network terminals according to yet another embodiment of the present invention. FIG. 5 more specifically describes part of the details of step S202. This embodiment is used for detecting the unbalanced state of the load of the LAG circuit. In this embodiment, the collection circuit may include multiple circuits (that is, LAG circuits). The traffic information received by the processor 120 through the transceiver 110 may include a plurality of peak traffic respectively corresponding to a plurality of time periods, wherein the plurality of peak traffic corresponds to a plurality of circuits.

In step S501, the processor 120 may obtain a plurality of traffic peaks corresponding to a plurality of time periods in the traffic information. This step is similar to the aforementioned step S401, and will not be repeated here.

In step S502 , the processor 120 can use a plurality of traffic spikes to obtain a plurality of bandwidth usage difference values corresponding to a plurality of time periods respectively. Specifically, for a period of time, the processor 120 may calculate a plurality of bandwidth utilization rates respectively corresponding to the plurality of circuits, wherein the plurality of bandwidth utilization rates include a maximum bandwidth utilization rate and a minimum bandwidth utilization rate. The processor 120 can calculate the difference between the maximum bandwidth usage and the minimum bandwidth usage to obtain the bandwidth usage difference.

In step S503, the processor 120 may obtain an early warning threshold and an alarm threshold. For example, the processor 120 may obtain the warning threshold and the warning threshold stored in the storage medium 130 from the storage medium 130 .

Table 8 is an example. Table 8 Average Bandwidth Utilization Rate Difference, Early Warning Threshold and Alarm Threshold from 2021/06/29 to 2021/07/01 (3 days) sink circuit 2021/07/01 Difference in Average Bandwidth Utilization Rate (%) 2021/06/30 Difference in Average Bandwidth Utilization Rate (%) 2021/06/29 Difference in Average Bandwidth Utilization Rate (%) Early warning threshold (%) Alarm Threshold (%) LAG circuit 1 75 85 80 50 70 single circuit 2 none none none none none single circuit 3 none none none none none single circuit 4 none none none none none … … … … … …

The processor 120 can first use the contents of Table 2 to Table 4 to calculate the bandwidth of LAG circuit 1 for three consecutive days (2021/06/29, 2021/06/30, 2021/07/01) as shown in Table 8 Utilization difference.

The processor 120 can calculate the weight of the network terminals accommodated by the LAG circuit according to the plurality of bandwidth usage difference values, the alarm threshold and the warning threshold. In response to the average value of the plurality of bandwidth usage difference values being greater than the alarm threshold, the processor 120 may add the second weight value to the weight. In response to the average value of the plurality of bandwidth usage difference values being greater than the warning threshold and less than or equal to the warning threshold, the processor 120 may add the first weight value to the weight.

Specifically, in step S504, the processor 120 may determine whether an average value of a plurality of bandwidth usage difference values is greater than an alarm threshold.

If the processor 120 judges that the average value of the multiple bandwidth utilization rate differences is greater than the alarm threshold (the judgment result of step S504 is "Yes"), then in step S505, the processor 120 may increase the second weight value to the weight .

If the processor 120 judges that the average value of the multiple bandwidth usage differences is less than or equal to the alarm threshold (the judgment result of step S504 is "No"), then in step S506, the processor 120 can judge that multiple bandwidth usage Whether the average value of rate difference is greater than the early warning threshold.

If the processor 120 judges that the average value of the multiple bandwidth utilization rate differences is greater than the warning threshold (the judgment result of step S506 is "Yes"), then in step S507, the processor 120 may increase the first weight value to the weight .

If the processor 120 determines that the average value of the plurality of bandwidth utilization rate differences is less than or equal to the warning threshold (the determination result of step S506 is "No"), then in step S508, the processor 120 may not add the weight to the weight.

Taking Table 8 as an example, the average value (80%) of the bandwidth usage difference (75%, 85%, 80%) of LAG circuit 1 for three consecutive days is greater than the alarm threshold of 70%. The processor 120 may add the second weight value to the weight of the network terminals, wherein the network terminals may be the network terminals 0001˜1000 accommodated by the LAG circuit 1 as shown in Table 1. In addition, the processor 120 may add the network terminals 0001 to 1000 into the detection list. The processor 120 can store the check list in the storage medium 130 .

The second weight value may be greater than the first weight value. In the embodiments of FIGS. 3-5 , the first weight value may be 1 and the second weight value may be 2, but the present invention is not limited thereto.

After obtaining the weights of the converging circuit and the network terminals it accommodates, return to FIG. 2 , in step S203, the processor 120 can use the weights to determine the detection strategy corresponding to the network terminals, and output the detection strategy through the transceiver 110. test strategy for user reference.

FIG. 6 is a flow chart of determining a detection strategy corresponding to a network terminal according to an embodiment of the present invention.

In step S601, the processor 120 may obtain a lookup list. In detail, in the aforementioned embodiments of FIG. 3 to FIG. 5 , the search list stored in the storage medium 130 may include network terminals with weights. The processor 120 can obtain a search list including these network terminals from the storage medium 130 .

Assume that the first weight value is 1 and the second weight value is 2 in the embodiments shown in FIGS. 3-5 . Table 9 is the sum of the weight increase of each network terminal after going through the aforementioned embodiments in FIG. 3 to FIG. 5 . Table 9 sink circuit contain network terminals Weights after Figure 3 Example Weights after Figure 4 Example Weights after Figure 5 Example sum of weight increases LAG circuit 1 Network Terminal 0001 not increased not increased increase by 2 increase by 2 … … … … … … LAG circuit 1 Network terminal 1000 not increased not increased increase by 2 increase by 2 single circuit 2 Internet terminal 1001 not increased increase by 1 not increased increase by 1 … … … … … … single circuit 2 Network terminal 1500 not increased increase by 1 not increased increase by 1 single circuit 3 Internet terminal 1501 increase by 1 increase by 2 not increased increase by 3 … … … … … … single circuit 3 Network Terminal 2000 increase by 1 increase by 2 not increased increase by 3 single circuit 4 Internet Terminal 2001 not increased not increased not increased not increased … … … … … … single circuit 4 Network terminal 2500 not increased not increased not increased not increased … … … … … …

In this embodiment, the storage medium 130 can store the management list. The management list can store the list of network terminals that have been checked.

In step S602, the processor 120 may obtain a management list. The initial management list may not contain any network terminals.

In step S603, the processor 120 may remove the network terminals listed in both the management list and the detection list from the detection list. In this way, it is possible to prevent the network terminals that have completed the detection from being included in the detection list.

In step S604, the processor 120 sorts the network terminals in the search list according to the weight values. If the weight value of the network terminal is greater, the detection priority of the network terminal is higher. If the weight value of the network terminal is smaller, the detection priority of the network terminal is lower. The processor 120 may sort the network terminals with larger weights at the front of the detection list, and may sort the network terminals with smaller weights at the bottom of the detection list.

It is assumed that in step S603, the initial management list does not include any network terminal. Table 10 is the search list after step S604 is executed. Table 10 check list network terminal Weights Internet terminal 1501 3 … … Network Terminal 2000 3 Network Terminal 0001 2 … … Network terminal 1000 2 Internet terminal 1001 1 … … Network terminal 1500 1

In step S605 , the processor 120 may output a check list through the transceiver 110 . The user of the electronic device 100 can dispatch manpower resources to perform detection for the network terminals in the list according to the detection list.

In step S606 , the processor 120 may receive the detection result through the transceiver 110 . The detection result may indicate the network terminals that have completed the detection.

In step S607, the processor 120 may use the detection result to determine whether each network terminal in the detection list has been detected.

If the processor 120 determines that the specific network terminal has been checked (the determination result of step S607 is “Yes”), the processor 120 may add the specific network terminal into the management list. In addition, the detection result can indicate the detection time point of the network terminal, and the management list can include the detection time point of the network terminal that has completed the detection. The processor 120 may delete network terminals whose detection time exceeds a management time threshold (for example, 2 weeks) from the management list. In other words, after a period of time has elapsed after the detection of the circuit is completed, the processor 120 may remove the circuit from the pipe list so as to regard the circuit as a circuit that has not completed the detection.

If the processor 120 determines that the specific network terminal has not been detected (the determination result of step S607 is "No"), the processor 120 may return to step S601.

To sum up, the electronic device and method for determining the detection strategy of the network terminal of the present invention can further use the weight to determine whether to detect the network terminal after obtaining the weight of the network terminal by using the traffic information and the threshold value. At the same time, weights can also be used to determine the detection order of multiple network terminals. In addition, the management list and the detection list can be compared to avoid frequent detection of the same network terminal, thereby improving the efficiency of detection of the network terminal.

100: Electronic device 110: Transceiver 120: Processor 130: storage media S201, S202, S203, S301, S302, S303, S304, S305, S306, S307, S308, S309, S310, S401, S402, S403, S404, S405, S406, S407, S408, S501, S502, S503, S504, S505, S506, S507, S508, S601, S602, S603, S604, S605, S606, S607: steps

FIG. 1 is a schematic diagram of an electronic device for determining a detection strategy of a network terminal according to an embodiment of the present invention. FIG. 2 is a flowchart of a method for determining a detection strategy of a network terminal according to an embodiment of the present invention. FIG. 3 is a flow chart illustrating the steps of using traffic information to obtain weights corresponding to network terminals according to an embodiment of the present invention. FIG. 4 is a flowchart illustrating the steps of obtaining weights corresponding to network terminals by using traffic information according to another embodiment of the present invention. FIG. 5 is a flow chart illustrating the steps of using traffic information to obtain weights corresponding to network terminals according to yet another embodiment of the present invention. FIG. 6 is a flow chart of determining a detection strategy corresponding to a network terminal according to an embodiment of the present invention.

S201, S202, S203: steps

Claims (7)

An electronic device for determining a detection strategy of a network terminal, comprising: a transceiver; and a processor, coupled to the transceiver, and configured to: receive traffic information corresponding to a collection circuit through the transceiver, wherein The network terminal is accommodated in the collection circuit, wherein the collection circuit includes a single circuit, wherein the traffic information includes a plurality of peak traffic corresponding to a plurality of time periods, wherein the plurality of peak traffic corresponds to In the single circuit; using the traffic information to obtain the weight corresponding to the network terminal includes: using the multiple peak traffic to obtain the average bandwidth utilization rate corresponding to the multiple time periods; in response The average bandwidth utilization is greater than the warning threshold and less than or equal to the warning threshold, adding a first weight value to the weight; and in response to the average bandwidth utilization being greater than the warning threshold, adding a second adding a weight value to the weight; and using the weight to determine a priority corresponding to the network terminal to generate a detection strategy, and outputting the detection strategy through the transceiver. The electronic device as claimed in claim 1, wherein the processor is further configured to: obtain an uplink network terminal set and a downlink network terminal set corresponding to the aggregation circuit according to the traffic information; In response to the intersection of the uplink network terminal set and the downlink network terminal set including the network terminal, judging that the network terminal is accommodated in the converging circuit; and in response to the network terminal being accommodated The weights are obtained at the aggregation circuit using the traffic information corresponding to the aggregation circuit. The electronic device of claim 1, wherein the traffic information further includes a current traffic set and a historical traffic set associated with a historical period, wherein the processor is further configured to: utilize the historical traffic set Obtaining a plurality of traffic averages and a plurality of traffic standard deviations associated with the historical period; using the plurality of traffic averages and the plurality of traffic standard deviations to obtain a traffic mean upper limit curve and a traffic Average lower limit curve; in response to the number of traffic in the current traffic set that is greater than the traffic average upper limit curve or smaller than the traffic average lower limit curve is greater than the alarm threshold value, the second adding a weight value to the weight, wherein the traffic corresponds to the plurality of time periods; and in response to the number of traffic being greater than the alert threshold and less than or equal to the alert threshold, adding the second A weight value is added to the weight. The electronic device according to claim 3, wherein the current traffic set and the historical traffic set correspond to a plurality of circuits in the collection circuit. The electronic device according to claim 3, wherein the current traffic set and the historical traffic set correspond to a single circuit in the collection circuit. The electronic device according to claim 1, wherein the collection circuit further includes a plurality of circuits, wherein the traffic information includes a plurality of second peak traffic respectively corresponding to a plurality of second time periods, wherein the plurality of second peak traffic Two spikes of traffic correspond to the plurality of circuits, wherein the processor is further configured to: utilize the plurality of second spikes of traffic to obtain a plurality of bandwidth utilizations respectively corresponding to the plurality of second time periods difference; in response to the average value of the plurality of bandwidth usage differences being greater than a second alarm threshold, adding the second weight value to the weight; in response to the average being greater than a second early warning threshold and is less than or equal to the second alarm threshold value, adding the first weight value to the weight. A method for determining a detection strategy for a network terminal, applicable to an electronic device including a transceiver and a processor, the method comprising: receiving traffic information corresponding to a collection circuit through the transceiver, wherein the network terminal housed in the collection circuit, wherein the collection circuit includes a single circuit, wherein the traffic information includes a plurality of peak traffic respectively corresponding to a plurality of time periods, wherein the plurality of peak traffic corresponds to the single circuit ; using the traffic information to obtain the weight corresponding to the network terminal, including: using the multiple peak traffic to obtain the average bandwidth utilization rate corresponding to the multiple time periods; responding to the average bandwidth a usage rate greater than the warning threshold and less than or equal to the warning threshold, adding a first weight value to the weight; and in response to the average bandwidth usage being greater than the warning threshold, adding a second weight value to the weight; and using the weight to determine a priority corresponding to the network terminal to generate a probing policy, and outputting the probing policy through the transceiver.

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