JP5511305B2 - Failure detection device - Google Patents

Description

  The present invention relates to a failure detection device that detects a failure of a network device.

  Among network devices belonging to various communication networks such as a wired network and a wireless network, those having a monitoring function for raising a failure of another network device in its own device or in the network as an alarm are known. This network device detects a failure of its own device or another network device at an early stage by a monitoring function such as polling, and recovers a deterioration in service quality at an early stage.

  By the way, the failure of the network device includes not only a hardware failure but also a failure in a part of processing due to a bug in software or firmware. In this case, although the monitoring function as described above can detect a hardware failure, it may be difficult to detect the failure by software or the like. For example, in a network device to be detected, when a failure occurs only in traffic processing due to a software bug, it is difficult to detect a failure because it responds normally to a monitoring function such as polling. It was.

  Conventionally, failure detection apparatuses that detect failures by various methods including such failures have been studied. For example, a failure is detected by setting a threshold for traffic information such as the number of incoming and outgoing calls, the number of successful calls in call connection processing, and the success rate (Patent Documents 1 and 2), and a failure using the frame error rate. Are detected (Patent Document 3), and a device that does not receive traffic for a certain period of time (Patent Document 4). Further, in a wireless communication system, a failure detection device that detects a failure by using electric field strength received by a terminal device has been studied. For example, a device that detects a failure based on information used for transmission power control (Patent Document 5), a device that detects a failure based on a change in electric field strength in an area (Patent Document 6), and an electric field from a plurality of areas A technique for detecting a failure by creating a database of strength (Patent Document 7) and the like has been studied. Further, a method of performing a detection process periodically by arranging a terminal device in a network device has been studied (Patent Document 8).

JP 2008-227618 A JP 2000-253148 A Japanese Patent Laid-Open No. 08-274709 Japanese Patent Application Laid-Open No. 07-046658 JP 2008-048160 A JP 11-163784 A JP-A-11-146443 Japanese Patent Laid-Open No. 05-103368

  By the way, the traffic volume used for failure detection changes according to the network environment and time zone to which the network device to be detected belongs. In addition, the amount of traffic that can be processed normally varies depending on the internal configuration and redundancy of the network device to be detected. For this reason, it has been difficult for a failure detection device that detects a failure using the traffic volume to accurately detect a failure of a network device. For example, in the failure detection device described in Patent Document 1, since the threshold value is fixed, there is a possibility that a failure of the network device may be erroneously detected due to temporal variation of traffic itself. In particular, in a wireless communication system, the amount of traffic and the success rate of call connection processing are likely to vary depending on the wireless environment, and it is difficult to detect a failure when the threshold value is fixed.

  Moreover, in a failure detection device that detects a failure using electric field strength, it is difficult to detect a failure that does not affect the electrolytic strength. Further, in a case where a failure detection terminal device is arranged in a network device, it is often difficult to arrange the terminal device in the network device due to an arrangement condition such as an arrangement space.

  The present invention has been made in view of such points, and an object of the present invention is to provide a failure detection device capable of accurately detecting a failure of a network device by reducing the influence of temporal fluctuations of the traffic itself. To do.

The failure detection apparatus of the present invention includes a traffic information acquisition unit that acquires traffic information for a network device, a statistical processing unit that calculates a statistical property of the traffic information acquired by the traffic information acquisition unit, and the statistical processing unit A failure detection unit for detecting a failure of the network device using the statistical property calculated by the statistical processing unit, wherein the statistical processing unit statistically analyzes traffic information for other network devices around the network device. Based on the new traffic information acquired by the traffic information acquisition unit with the property as an initial value, the statistical property is sequentially updated so as to follow the temporal variation of the traffic information, and the failure detection unit Using the statistical properties updated by the statistical processing unit, the failure of the network device is detected. Characterized in that it.

  According to this configuration, since the statistical property of the traffic information for the network device is used for detecting the failure, the failure of the network device is detected in consideration of the tendency of the traffic information in a predetermined time zone. Therefore, it is possible to reduce the influence of the temporal fluctuation of traffic and detect a failure of the network device with high accuracy. Moreover, the failure detection of the network device is not limited by the electrolytic strength, the arrangement conditions, and the like.

  According to the present invention, it is possible to detect the failure of the network device with high accuracy by reducing the influence of the temporal fluctuation of traffic.

It is a figure which shows embodiment of the failure detection apparatus which concerns on this invention, and is explanatory drawing of the outline | summary of the communication system to which a failure detection apparatus belongs. It is a figure which shows embodiment of the failure detection apparatus which concerns on this invention, and is a functional block diagram of a failure detection apparatus. It is a figure which shows embodiment of the failure detection apparatus which concerns on this invention, and is a flowchart which shows an example of the operation | movement outline | summary of a failure detection apparatus. It is a figure which shows embodiment of the failure detection apparatus which concerns on this invention, and is a flowchart which shows the detection operation of the failure detection apparatus which used the number of traffic reception calls and the number of successful calls as statistical information.

  Hereinafter, embodiments of the present invention will be described in detail with reference to the accompanying drawings. In the following embodiments, an example in which the failure detection apparatus according to the present invention is arranged in a wireless communication system will be described, but the present invention is not limited to this configuration. Any communication system can be used as long as the failure detection device can be arranged. For example, the failure detection device may be arranged in a wired communication system such as a public switched telephone network (PSTN).

  First, before explaining details of the failure detection device, an example of an outline of a communication system to which the failure detection device belongs will be described. FIG. 1 is an explanatory diagram of an outline of a communication system to which a failure detection apparatus according to an embodiment of the present invention belongs.

  As shown in FIG. 1, in the wireless communication system 1, a relay device 4 such as a switch device 7a, 7b or a router device 8a, 8b is used by a wireless terminal device 2 such as a mobile phone wirelessly connected to the wireless base station device 3. Communication is performed via The router device 8b is connected to a failure detection device 6 that detects a device failure in the wireless communication system 1 and external server devices 5a and 5b that provide various services to the wireless terminal device 2.

  The failure detection apparatus 6 monitors the radio base station apparatus 3, the relay apparatus 4, and the external server apparatus 5, and traffic information generated when the radio base station apparatus 3, the relay apparatus 4, and the external server apparatus 5 are used. I get it regularly. Then, the failure detection device 6 detects the failure of each device 3, 4, 5 using the statistical properties of the traffic information acquired from each device 3, 4, 5. The statistical property of the traffic information includes not only the statistical information of the traffic information but also the one indicating the failure tendency of each device 3, 4, 5 derived from the statistical information.

  The failure detection apparatus 6 according to the present embodiment is configured to be connected as an external apparatus to each of the detection target apparatuses 3, 4, and 5. It may be provided inside as a part. Further, the failure detection device 6 may be configured to detect all failures of the wireless base station device 3, the relay device 4, and the external server device 5 as a detection target network device, or may be configured to detect any one of them. Good. Further, the failure detection device 6 may be provided in a part of a radio network controller (RNC: Radio Network Controller) (not shown) positioned above the relay device 4. It is good also as a structure provided in a part of core network. As described above, the failure detection device 6 can target any of the network devices constituting the wireless communication system 1.

  With reference to FIG. 2, the functional configuration of the failure detection apparatus will be described. FIG. 2 is a functional block diagram of the failure detection apparatus according to the embodiment of the present invention. In the following description, a radio base station device, a relay device, and an external server device to be detected will be referred to as detected devices.

  The failure detection device 6 includes a traffic information acquisition unit 11, a traffic information storage unit 12, a statistical processing unit 13, a failure detection unit 14, a detection condition storage unit 15, and a notification unit 16. The statistical processing unit 13 includes a statistical information calculation unit 17, a statistical information storage unit 18, and a failure determination value calculation unit 19.

  The traffic information acquisition unit 11 acquires traffic information from the detected device based on information unique to the detected device. Here, address information may be used as unique information of the detected device. In this case, the failure detection device 6 may be configured to acquire traffic information directly from the detected device, or a server device for collecting traffic information is provided in the wireless communication system 1, and the traffic information is received from this server device. You may make it acquire. The failure detection device 6 may be configured to periodically request traffic information from the detected device, or the traffic information may be periodically transmitted from the detected device to the failure detection device 6.

  In addition, the traffic information in the present embodiment includes the number of received calls of traffic generated in the detected device during the communication of the wireless terminal device 2 and the number of calls successfully processed among the received traffic (successful calls). Number). As traffic information, not only the number of accepted calls and the number of successful calls but also the number of successful calls with respect to the number of accepted calls may be used as the success rate, or the number of failed calls obtained by subtracting the number of successful calls from the number of accepted calls. May be used. Further, the number of accepted calls and the number of successful calls may be the number of calls per unit time. The unit time is not particularly limited, and may be, for example, 1 second unit, 1 minute unit, or 1 hour unit. The traffic information may be any information as long as it is information indicating the communication processing amount with respect to the detected apparatus, in addition to the above-described contents.

  Further, the traffic information acquisition unit 11 may acquire the traffic information for each device of the detected device, or may acquire the traffic information for each component part constituting the detected device. The constituent unit constituting the detected device is a partial unit constituting the detected device such as an interface unit such as a port, a module unit, or an interface card unit.

  The traffic information storage unit 12 stores the traffic information of the detected device acquired by the traffic information acquisition unit 11. In this case, the traffic information storage unit 12 stores identification information for identifying the device to be detected and traffic information in association with each other. The identification information of the detected device is a device ID, address information, and the like.

  The statistical information calculation unit 17 calculates statistical information based on the traffic information stored in the traffic information storage unit 12. The statistical information storage unit 18 stores the statistical information calculated by the statistical information calculation unit 17. In this case, the statistical information storage unit 18 stores the identification information of the device to be detected and the statistical information of the traffic information in association with each other. The identification information of the detected device is a device ID, address information, and the like. The statistical information stored in the statistical information storage unit 18 is updated at regular intervals by the statistical information calculation unit 17. Details of statistical information calculation processing and update processing by the statistical information calculation unit 17 will be described later.

  The failure determination value calculation unit 19 converts the statistical information stored in the statistical information storage unit 18 into a failure determination value for failure determination. The failure determination value calculation unit 19 converts the statistical information into a failure determination value using a function indicating the relationship between a plurality of traffic information. Details of the failure determination value calculation processing by the failure determination value calculation unit 19 will be described later.

  The failure detection unit 14 detects a failure of the detected device based on the failure determination value calculated by the failure determination value calculation unit 19. Specifically, the failure detection unit 14 detects a failure of the detected device by comparing a threshold value stored as a detection condition in the detection condition storage unit 15 with a failure determination value. Further, the failure detection unit 14 resets (erases) the statistical information stored in the statistical information storage unit 18 when a failure is detected, and the statistical information stored in the statistical information storage unit 18 when no failure is detected. Information learning (update) is continued.

  When the failure detection unit 14 detects a failure, the notification unit 16 notifies the system administrator to that effect. In this case, the notification unit 16 may be configured to be able to notify the system administrator of the failure of the apparatus, may be notified by sound such as an alarm, or may be notified by image display. Moreover, you may make it alert | report by an e-mail etc. with respect to a system administrator. Note that the radio communication system 1 may switch to the redundant configuration based on the notification from the notification unit 16.

  Note that each unit of the failure detection device 6 described above has a CPU (Central Processing Unit) incorporated in the device calculate data in a RAM (Random Access Memory) according to various programs in the ROM (Read Only Memory), and The process is executed in cooperation with each unit such as the radio base station device 3, the relay device 4, and the external server device 5 constituting the radio communication system 1.

  With reference to FIG. 3, an example of the operation | movement outline | summary of a failure detection apparatus is demonstrated easily. FIG. 3 is a flowchart showing an example of an operation outline of the failure detection apparatus according to the embodiment of the present invention.

  As shown in FIG. 3, first, the statistical information of the traffic information of the detected apparatus is initialized, and the initial value of the statistical information is stored in the statistical information storage unit 18 (step S01). In this case, since the optimum initial value of the statistical information of the detected device differs from device to device and is related to temporal fluctuations in traffic, it is difficult to grasp in advance. Therefore, a predetermined constant may be used. In addition, statistical information of peripheral network devices may be used as an initial value. The peripheral network device is a network device connected via a higher-level network device of the detected device or a network device that processes traffic of the wireless terminal device 2 belonging to an adjacent sector of the same wireless base station device 3. It is.

  Next, the traffic information acquired by the traffic information acquisition unit 11 is stored in the traffic information storage unit 12 (step S02). Next, the statistical information calculation unit 17 updates (learns) the statistical information based on the statistical information stored in the statistical information storage unit 18 and the traffic information stored in the traffic information storage unit 12 (step S03). . Next, when the time for determining a failure has elapsed (step S04: Yes), the failure determination value calculation unit 19 converts the statistical information into a failure determination value (step S05). On the other hand, when the time for determining a failure has not elapsed (step S04: No), steps S02 to S03 are repeated.

  Next, the failure detection unit 14 compares the failure determination value with the threshold value stored in the detection condition storage unit 15 to determine whether there is a failure in the detected device (step S06). Next, when a failure of the detected device is detected by the failure detection unit 14 (step S06: Yes), a failure of the detected device is notified by the notification unit 16 (step S07), and the statistical information storage unit 18 is notified. The stored statistical information is reset (erased) (step S08). On the other hand, when a failure of the detected device is not detected by the failure detection unit 14 (step S06: No), steps S02 to S05 are repeated.

  Here, the failure detection processing by the failure detection device 6 will be described in detail. First, statistical information calculation processing by the statistical information calculation unit and failure determination value calculation processing by the failure determination value calculation unit will be described in detail.

ここで、ｕ_iは、複数のトラヒック情報のうち、ｉ番目のトラヒック情報を示す。関数ｇは、複数のトラヒック情報を、相互の関係性を示す情報へ変換するための関数である。ｆ_i（ｕ_i）は、関数ｇに対するトラヒック情報ｕ_iの影響量を正規化するための関数である。 In the failure detection apparatus 6 in the present embodiment, the traffic information acquired using the function shown in the equation (1) is converted into a failure determination value. The function shown in Expression (1) is a function that indicates the relationship between traffic information.

Here, u _i indicates i-th traffic information among a plurality of pieces of traffic information. The function g is a function for converting a plurality of traffic information into information indicating a mutual relationship. f _i (u _i ) is a function for normalizing the influence amount of the traffic information u _{i on} the function g.

  Hereinafter, as an example, a calculation process for calculating statistical information and a failure determination value using two types of traffic information, that is, the number of received calls and the number of successful calls, will be specifically described. In this case, a case where a correlation coefficient indicating the relationship between two types of traffic information is calculated as a failure determination value will be described.

ここで、Ｃｏｖ（ｕ，ｖ，Ｔ）は検出処理時刻Ｔにおける２種類のトラヒック情報間の相互相関値、σ_u（Ｔ）およびσ_v（Ｔ）はそれぞれ検出処理時刻Ｔにおけるトラヒック情報の標準偏差を示している。２種類のトラヒック情報間の相互相関値を、それぞれのトラヒック情報の標準偏差で除算することにより、システム構成や通信環境によるトラヒックの違いを考慮して相互相関値の正規化が行われる。そして、この相関係数の大きさの変化を利用して被検出装置の故障が検出される。 For detecting a failure of the detected device, two types of traffic information u (t) and v (t) of the detected device at time t are correlated with corr (t). In this case, the correlation coefficient corr (T) at the detection processing time T sampled at the discrete time interval Δt is calculated using Expression (2).

Here, Cov (u, v, T) is a cross-correlation value between two types of traffic information at the detection processing time T, and σ _u (T) and σ _v (T) are standards of traffic information at the detection processing time T, respectively. The deviation is shown. By dividing the cross-correlation value between the two types of traffic information by the standard deviation of each traffic information, the cross-correlation value is normalized in consideration of the traffic difference depending on the system configuration and communication environment. Then, a failure of the detected apparatus is detected using the change in the magnitude of the correlation coefficient.

ここで、ｔ＝０はトラヒック情報の取得開始時刻を示している。ｕ(_)（Ｔ）およびｖ(_)（Ｔ）は、それぞれ検出処理時刻Ｔにおけるトラヒック情報の平均値を示している。 Further, the cross-correlation value Cov (u, v, T) and the standard deviations σ _u (T) and σ _v (T) as statistical information are calculated using the equations (3) to (5).

Here, t = 0 indicates a traffic information acquisition start time. u (_) (T) and v (_) (T) indicate the average values of the traffic information at the detection processing time T, respectively.

なお、検出処理時刻Ｔにおける統計情報としての相互相関値、標準偏差、平均値は、故障検出の度に算出されるようにしてもよい。また、これら統計情報は、トラヒック情報を取得した時間のうち、一部の時刻Ｔ₁からＴ₂までの区間のトラヒック情報を利用して算出してもよい。また、それぞれの統計情報の算出において、算出の際にトラヒック情報を利用する時間区間が異なっていてもよい。 The average value of this traffic information is calculated using the equations (6) and (7).

Note that the cross-correlation value, standard deviation, and average value as statistical information at the detection processing time T may be calculated each time a failure is detected. Further, these statistical information may be calculated by using traffic information of a section from a part of time T ₁ to T ₂ in the time when the traffic information is acquired. Further, in the calculation of each statistical information, the time interval in which the traffic information is used at the time of calculation may be different.

  In this way, the correlation coefficient as the failure determination value is calculated from the statistical information of the number of accepted calls and the number of successful calls as the traffic information by the above formula. Normally, if the detected device is in a state where there is no failure and the traffic processing is normally performed, the number of accepted calls and the number of successful calls substantially match. For this reason, during normal operation of the detected apparatus, the correlation between the number of accepted calls and the number of successful calls is high, and the correlation coefficient is a value close to 1. On the other hand, when the detected device fails, the difference between the number of accepted calls and the number of successful calls becomes large, the correlation coefficient becomes small, and the value is away from 1.

  The failure detection unit 14 reads the threshold value from the detection condition storage unit 15, and when the correlation coefficient is equal to or less than the threshold value, the failure detection unit 14 determines that a potential failure has occurred inside the detected device and traffic processing cannot be performed, and the failure is detected. To detect. Even when the detected apparatus is in a normal state, there is a call in which the traffic processing cannot be performed normally. Therefore, the correlation count does not become 1 even during the normal operation of the detection target. Therefore, when a standard deviation or average value is calculated and used in advance, it can be handled by adjusting a threshold value in advance according to the use condition of traffic information.

  Next, statistical information update processing (learning processing) by the statistical information calculation unit 17 will be described in detail. The traffic information fluctuates in time because it fluctuates according to the usage status of the user of the wireless terminal device 2. For this reason, the failure detection device 6 learns traffic information so as to follow temporal fluctuations. In this embodiment, exponential weighting is used as an example of following the temporal variation of the traffic information. The statistical information calculation unit 17 calculates the statistical information with a small calculation amount by following exponential weighting so as to follow temporal changes in traffic information.

ここで、α（ｉ）は、故障検出装置６の監視開始時からの所定の時刻経過後に取得されたトラヒック情報から算出される統計情報を示す。α（０）は、統計情報の初期値であり、予め定められた定数である。なお、α（０）は、上記したように、被検出装置の周辺のネットワーク装置の統計情報を初期値としてもよい。λは、忘却係数であり１より小さな定数である。λの数値が小さくなるのに従い、直近のトラヒック情報を強調した統計情報となる。 In the calculation of statistical information by exponential weighting, the statistical information of traffic information calculated so far is sequentially updated with newly collected traffic information. The updated value of the statistical information is calculated using Expression (8).

Here, α (i) indicates statistical information calculated from traffic information acquired after a predetermined time has elapsed since the monitoring of the failure detection apparatus 6 was started. α (0) is an initial value of the statistical information and is a predetermined constant. Note that, as described above, α (0) may use statistical information of network devices around the detected device as an initial value. λ is a forgetting factor and is a constant smaller than 1. As the numerical value of λ becomes smaller, the statistical information highlights the latest traffic information.

ここで、忘却係数λは各統計情報に応じて変更してもよいし、被検出装置毎に変更するようにしてもよい。各統計情報の初期値（Ｔ＝０）は、式（９）から式（１３）に示した数値以外でもよい。例えば、被検出装置の周辺のネットワーク装置の同時刻における統計情報を初期値としてもよい。 In the failure detection device 6, the cross-correlation value as the statistical information, the standard deviation of the traffic information, and the average value are sequentially updated using this exponential weighting. The cross-correlation value using the exponential weighting, the standard deviation of the traffic information, and the updated value of the average value are calculated using Equations (9) to (13).

Here, the forgetting factor λ may be changed according to each piece of statistical information, or may be changed for each detected device. The initial value (T = 0) of each statistical information may be other than the numerical values shown in the equations (9) to (13). For example, statistical information at the same time of network devices around the detected device may be set as the initial value.

  Thus, statistical information is calculated in consideration of the tendency of traffic information in a predetermined time zone by sequentially updating the statistical information. Therefore, by calculating the correlation coefficient using the formula (2) based on the statistical information updated sequentially, it is possible to reduce the influence of temporal fluctuations in traffic and accurately detect the failure of the detected device. It becomes.

  With reference to FIG. 4, the detection operation of the failure detection apparatus using the number of accepted calls and the number of successful calls as statistical information will be described. FIG. 4 is a flowchart showing the detection operation of the failure detection apparatus using the number of accepted calls and the number of successful calls as statistical information.

  As shown in FIG. 4, first, statistical information on the number of accepted calls and the number of successful calls in the detected apparatus is initialized, and each statistical information, ie, the number of accepted calls and the number of successful calls, is stored in the statistical information storage unit 18. The initial values of the cross-correlation value, standard deviation, and average value are stored (step S11). Next, the number of accepted calls and the number of successful calls acquired by the traffic information acquisition unit 11 are stored in the traffic information storage unit 12 (step S12). Next, the cross-correlation value, standard deviation, and average value stored in the statistical information storage unit 18 are exponentially weighted by the statistical information calculation unit 17 based on the number of newly accepted traffic calls and the number of successful calls. It is updated by using (step S13).

  Next, when the time for determining a failure has elapsed (step S14: Yes), the failure determination value calculation unit 19 correlates from the cross-correlation value, standard deviation, and average value of the number of accepted calls and the number of successful calls. A number is calculated (step S15). On the other hand, when the time for determining a failure has not elapsed (step S14: No), steps S12 to S13 are repeated.

  Next, the failure detection unit 14 determines whether or not the correlation coefficient is equal to or less than the threshold value stored in the detection condition storage unit 15 (step S16). If it is determined that the correlation coefficient is equal to or less than the threshold value (step S16: Yes), the failure detection unit 14 detects a failure of the detected device. Next, when a failure of the detected device is detected, the notification unit 16 notifies the system administrator of the failure of the detected device (step S17), and the number of accepted calls of traffic stored in the statistical information storage unit 18 and The cross correlation value, standard deviation, and average value of the number of successful calls are reset (erased) (step S18). On the other hand, when it is determined that the correlation coefficient is greater than the threshold value (step S16: No), it is determined that the detected device is normal, and steps S12 to S15 are repeated.

  As described above, according to the failure detection device 6 according to the present embodiment, since the statistical property of the traffic information for the detected device is used for detecting the failure, the tendency of the traffic information in a predetermined time zone is considered. Thus, a failure of the detected device is detected. Therefore, it is possible to reduce the influence of temporal fluctuations in traffic and detect a failure of the detected device with high accuracy. Further, the failure detection of the detected device is not limited by the electric field strength, the arrangement condition, or the like.

  In the above-described embodiment, the failure detection device detects the failure of the network device using the correlation coefficient as the failure determination value. However, the configuration is not limited to this configuration. The failure detection device only needs to detect a failure of the network device using the statistical properties of the traffic information.For example, the average value u (t) of the traffic information calculated by exponential weighting as the statistical information and the standard deviation σ ( Using t), if the traffic information at time t is out of the range of u (t) ± ασ (t), it may be detected that the network device is out of order. Here, α indicates the degree of separation.

In the above-described embodiment, the failure detection device detects the failure of the network device using the correlation between the two types of traffic information. However, the present invention is not limited to this configuration. The failure detection device can also detect a failure of the network device by using the statistical properties of one type of traffic information and three or more types of traffic information. When the statistical property of one type of traffic information is used, a failure of the network device is detected by using the average value and the standard deviation as described above. Further, when the statistical properties of three or more types of traffic information are used, it is possible to perform the same processing as the correlation coefficient by extending Equation (1) and doing the following.

  In the above-described embodiment, the failure detection device is configured to detect the failure of the network device by sequentially updating the calculated statistical properties based on the new traffic information. However, the present invention is not limited to this configuration. Is not to be done. The failure detection device may be configured to recalculate the statistical properties from the beginning each time a failure of the network device is detected.

  Further, in the above-described embodiment, the failure detection apparatus is not limited to the configuration applied to a specific communication system, and may be applied to any communication system. For example, the present invention may be applied to communication systems such as NGN in addition to ISDN and ADSL fixed communication systems. The present invention may also be applied to mobile communication systems such as W-CDMA, HSDPA / HSUPA, LTE, LTE-Advanced, IMT-Advanced, WiMAX, and Wi-Fi.

  Although the present invention has been described above with reference to specific embodiments, the present invention is merely illustrative, and may be implemented with variations, modifications, alternatives, replacements, and the like that can be considered by those skilled in the art. Further, in the present embodiment, explanations have been made using specific numerical examples in order to promote understanding of the invention. However, unless otherwise specified, these numerical values are merely examples and have the same effect. Any numerical value may be used. Further, the division of the examples or items is not essential to the present invention, and the matters described in two or more examples or items may be used in combination as necessary. For convenience of explanation, the apparatus according to the present embodiment has been described using a functional block diagram, but the apparatus may be realized by hardware, software, or a combination thereof. The present invention is not limited to the above-described embodiments, and various modifications, corrections, alternatives, substitutions, and the like are included without departing from the technical idea of the present invention.

  The embodiment disclosed this time is illustrative in all respects and is not limited to this embodiment. The scope of the present invention is shown not by the above description of the embodiments but by the scope of the claims, and is intended to include all modifications within the meaning and scope equivalent to the scope of the claims.

  As described above, the present invention has the effect of reducing the influence of time fluctuation of traffic and detecting a failure of a network device with high accuracy, and the amount of traffic varies according to the radio environment. This is useful for a failure detection apparatus arranged in a wireless communication system that is easy to perform.

1 wireless communication system 2 wireless terminal device 3 wireless base station device (network device)
4 Relay device (network device)
5a, 5b External server device (network device)
6 Failure detection device 7a, 7b Switch device (network device)
8a, 8b Router device (network device)
DESCRIPTION OF SYMBOLS 11 Traffic information acquisition part 12 Traffic information memory | storage part 13 Statistical processing part 14 Failure detection part 15 Detection condition memory | storage part 16 Notification part 17 Statistical information calculation part (statistical processing part)
18 Statistical information storage unit (statistical processing unit)
19 Failure judgment value calculation part (statistical processing part)

Claims (5)

A traffic information acquisition unit for acquiring traffic information for the network device;
A statistical processing unit that calculates a statistical property of the traffic information acquired by the traffic information acquisition unit;
A failure detection unit that detects a failure of the network device using the statistical property calculated by the statistical processing unit ;
The statistical processing unit sets a statistical property of traffic information for other network devices in the vicinity of the network device as an initial value, and based on the new traffic information acquired by the traffic information acquisition unit, the time of the traffic information The statistical properties are sequentially updated to follow global fluctuations,
The failure detection unit detects a failure of the network device using a statistical property updated by the statistical processing unit . The statistical processing unit calculates a statistical property of the two or more types of traffic information,
The failure according to claim 1, wherein the failure detection unit detects a failure of the network device using a statistical property of the two or more types of traffic information calculated by the statistical processing unit. Detection device. The statistical processing unit calculates a correlation between the two or more types of traffic information as the statistical property,
The failure according to claim 2, wherein the failure detection unit detects a failure of the network device using a correlation between the two or more types of traffic information calculated by the statistical processing unit. Detection device. The statistical processing unit calculates a correlation coefficient of the two types of traffic information as the correlation,
The failure detection device according to claim 3, wherein the failure detection unit detects a failure of the network device by using a correlation coefficient between two types of traffic information calculated by the statistical processing unit. . The failure detection device according to claim 1 , wherein the failure detection device is provided in a host device of the network device.

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