JP2000293451A - Distributed data distribution control system and distribution monitoring method - Google Patents

Abstract

PROBLEM TO BE SOLVED: To obtain a distributed data distribution control system by which repairing operation with respect to a fault is executed efficiently by automatically knowing the content of the fault and its generated position when the fault is generated and the proper solving method of the fault is decided and to provide its distribution monitoring method. SOLUTION: The system is provided with plural computers 1 distributing data through the use of a network system where satellite lines and ground lines are coexisted and monitoring the distributing state of data, a computer 2 for deciding an optimal measure against the fault based on a monitoring result transmitted from each computer 1 when the fault is generated in data distribution, and a computer 3 for executing a measure suited to the information based on measured information transmitted from the computer 2 to repair the generated fault by the measure to be executed by the computer 3.

Description

DETAILED DESCRIPTION OF THE INVENTION

[0001]

BACKGROUND OF THE INVENTION 1. Field of the Invention The present invention relates to a distributed data distribution management system for distributing data using a plurality of lines, and more particularly to a distributed data distribution management system for monitoring data distribution using a satellite line. It relates to the distribution monitoring method.

[0002]

2. Description of the Related Art A conventional distributed data distribution management system will be described below. For example, as a document concerning a conventional distributed data distribution management system, Japanese Patent Application Laid-Open No. H10-161
No. 952 discloses a “computer fault monitoring method and system thereof”. In this system, as shown in FIG. 12, a plurality of computers can communicate via a network (WAN), and the plurality of computers are connected to a plurality of groups (for example, groups 101, 102, 10).
The configuration is divided into 3), and a representative computer is defined for each of the divided groups.

[0005] The monitoring computer shown in FIG. 1 gives an instruction to each of the representative computers, and causes each of the representative computers to perform fault monitoring including collection of communication load information of the corresponding computers in the group. Send to monitoring computer. On the other hand, the monitoring computer changes the representative computer when necessary based on the received communication load information of each computer in each group.

As described above, the system shown in FIG.
By distributing the monitoring load, failure monitoring is appropriately performed without biasing the communication load only to a specific computer.

[0005] Other documents related to the conventional distributed data distribution management system include, for example, Japanese Patent Application Laid-Open No. Sho 63-28.
There is a “failure status reporting method” disclosed in Japanese Patent No. 0537. This system includes a multiplexing device 111 as shown in FIG.
And 112 are connected by a terrestrial high-speed digital line 114 and a satellite line 117, and multiplexing devices 111 and 113 are connected by a terrestrial line 115.
Reference numeral 13 is connected by a ground line 116, and further, a computer or the like is connected to the subscriber line side of each multiplexer, and the computers communicate with each other. Here, the process of estimating the failure location by one polling is performed early, and the line switching at the time of failure occurrence is efficiently and promptly performed.

As described above, the method shown in FIG. 13 is an application of fault monitoring in a polling method (a method in which a monitoring is performed in response to a request from the center shown in the figure). This is a fault monitoring method aimed at shortening.

[0007] Other documents relating to the conventional distributed data distribution management system include, for example, Japanese Patent Application Laid-Open No. 8-693.
No. 96, entitled “Network Event Counter Management Method and Apparatus”. In this system, as shown in FIG. 14, arbitrary computers 121 and 122 are connected via communication adapters 124 and 125, which are communication interfaces, and communicate with each other. These computers also communicate with each other with the network management system 123 disposed on the network. Then, the network management system 123 collects event information on the combining unit 126 transmitted from each computer, and controls and maintains the network.

[0008] As described above, the method and apparatus shown in FIG. 14 are systems for determining a threshold value of a monitoring item in a single network system.

[0009] Other documents related to the conventional distributed data distribution management system include, for example, Japanese Patent Application Laid-Open No. Hei 9-186.
There is a “network fault detection device and method” disclosed in Japanese Patent Application Publication No. 780.
As shown in FIG. 15, the system includes a collection unit 131 that collects the success or failure of the distribution result as communication completion state information,
A storage unit 132 for accumulating and storing the collected communication completion state information; and a monitoring unit for totalizing the stored communication completion state information at predetermined time intervals and monitoring the occurrence of a failure in the network based on the totalization result. Means 133 and an alarming means 134 for notifying the operator when a fault has been detected in the network, and when data is distributed to a plurality of communication destinations through the network, the statistical processing result of the communication completion state information is obtained. And detects line and network failures.

As described above, the method and apparatus in FIG. 15 are intended to improve serviceability by early detection of a network failure in a switched line such as a public line or ISDN.

[0011] Other documents related to the conventional distributed data distribution management system include, for example, Japanese Patent Application Laid-Open No. 9-835.
No. 14, there is a "network system and a fault monitoring method applied to the network system". In this system, as shown in FIG. 16, the network management station 142 issues specific address information related to the cause of the failure, and then the relay device 141 receives data transmitted from the transmission source (each station). Then, the address information of the transmission source added to the transmission data is compared with the previously issued address information, and if the result matches, the notification information including the fact is transmitted to the network management station 142. . Then, the management station 142, based on the received notification information,
Identify the location of the data transmission source or relay device that causes the failure.

Thus, the system in FIG.
This system aims at efficiently realizing a process of monitoring a data transmission source and a relay position that may cause a failure by setting a specific address for identifying a transmission source of information. .

[0013]

SUMMARY OF THE INVENTION However,
In a conventional data distribution system using a plurality of lines, when a failure occurs, it is difficult to determine what the failure is and where it is occurring. However, because the analysis is performed manually to determine an appropriate solution to the obstacle, it is time-consuming and costly, and requires specialized knowledge.

For details, see, for example, Japanese Patent Application Laid-Open No. 10-1619.
In the invention of Japanese Patent No. 52, as shown in FIG. 12, in a large-scale network, grouping is performed for each site via a router, and the monitoring cost is reduced by grouping based on a physical configuration. Therefore, in this method, when the physical distance between the transmitting side and the receiving side is large and the cause of the failure on the receiving side is the transmitting side as in a data distribution system using satellites, it is not possible to appropriately cope with the problem. , There was a problem.

Further, for example, Japanese Patent Application Laid-Open No. Sho 63-28037
The invention of Japanese Patent Laid-Open Publication No. H11-157,751 is a method aiming at shortening the time from the occurrence of a failure to the detection of a failure in the polling method. In such a case, there is a problem that the effectiveness is low in a system that needs to respond immediately.

Also, for example, in the invention of Japanese Patent Application Laid-Open No. 8-69396, since the case where the network line is one is targeted, when the line is disconnected and the cause is on the other side through the network. However, there is a problem that it is not possible to take measures against this obstacle. Also, if the transfer performance of the network decreases,
In order to convey this, a network with reduced performance must be used, and the time required to report a failure increases, and in the worst case, the failure cannot be reported.

Further, for example, in the invention of Japanese Patent Application Laid-Open No. 9-186780, since the used line is limited to a switched line such as a public line or ISDN, it is necessary to detect a failure of a line such as a satellite line or a WAN. There was a problem that it was not possible.

[0018] For example, in the invention of Japanese Patent Application Laid-Open No. 9-83514, a specific address is set for a transmission source.
When the source is changed, it is necessary to set a new specific address, and when any computer in the network becomes the source, the specific address is set for all computers. There is a need. Therefore, when this method is applied to a large-scale network including thousands to tens of thousands of computers such as a satellite network, there is a problem that a load of a computer for setting a specific address becomes extremely high. . There is also a problem that a failure cannot be detected when there is a problem in the receiving station.

The present invention has been made in view of the above. For example, when a failure has occurred, the contents and location of the failure are automatically known, and a more appropriate solution to the failure is determined. It is an object of the present invention to obtain a distributed data distribution management system capable of efficiently performing a repair work for the failure and a distribution monitoring method thereof.

[0020]

Means for Solving the Problems The above-mentioned problems are solved,
In order to achieve the object, a distributed data distribution management system according to the present invention is configured to distribute data using a network system in which satellite lines and terrestrial lines coexist, and further monitors a data distribution state. And a plurality of first computers (equivalent to a computer 1 in an embodiment described later) including a distribution monitoring unit that performs transmission and monitoring, when a failure occurs in the data distribution, a monitoring result transmitted from each of the first computers. A second computer (corresponding to the computer 2) including a countermeasure determining means for determining an optimum countermeasure against the failure based on the error
And a third computer (corresponding to the computer 3) including a countermeasure executing means for executing a countermeasure adapted to the information based on the countermeasure information transmitted from the second computer, and the third computer It is characterized in that a fault that has occurred is repaired by a countermeasure executed by the computer.

According to the present invention, by having the first computer, the second computer, and the third computer, when a failure occurs, the contents of the failure are automatically collected and the location of the failure occurrence is automatically estimated. Since a fault measure is selected and a fault measure is executed, the fault that has occurred is automatically repaired in an optimal manner. As a result, the load on the system administrator can be greatly reduced, and a highly reliable system that does not require specialized knowledge from the system administrator can be constructed. In addition, the repair work for the failure can be efficiently performed.

[0022] In the distributed data distribution management system according to the next invention, each of the first computer, the second computer, and the third computer includes each of the means included as a function of each computer. In addition to the above, at least one of the distribution monitoring unit, the countermeasure determining unit, and the countermeasure executing unit is further included.

According to the present invention, each computer has one or more functions in addition to the functions normally provided. As a result, a highly reliable system can be constructed with a free configuration that does not depend on the circumstances of the network and the user.

In the distributed data distribution management system according to the next invention, each of the first computers includes an item relating to the monitoring and a reference value corresponding to the item for judging a failure relating to the data distribution. And a first table (set in the distribution monitoring item table) for setting the standard deviation value for reference, and a deviation value indicating the level of the monitoring result. 2 (corresponding to a monitoring state table), execute the processing described in the distribution monitoring item on the first table, and further, based on a standard deviation obtained from past statistics, Is calculated, and the deviation value is stored in the second table. Thereafter, the reference value set in the first table is compared with the deviation value stored in the second table, When the difference value is smaller than the reference value, the monitoring result corresponding to the distribution monitoring item is determined to be normal. On the other hand, when the deviation value is larger than the reference value, monitoring corresponding to the distribution monitoring item is determined. The result is determined to be abnormal.

According to the present invention, the first computer executes the first computer
Automatically specify distribution monitoring items from the table. As a result, the administrator only needs to confirm the monitoring result, and can efficiently manage the entire system. Further, according to the present invention, the first computer includes:
Since the determination of normal / abnormal of the distribution monitoring item is determined based on the standard value, the more accurate the system check, the higher the standard deviation can be obtained. Thereby, the reliability of the abnormality check can be improved. Further, according to the present invention, the first computer automatically detects an abnormality and manages a normal state. As a result, it is possible to obtain data that assists in investigating the cause when a failure occurs, data for preventing recurrence, and the like. Further, according to the present invention, the distribution monitoring items can be freely changed and added. Thereby, a more reliable system can be constructed.

In the distributed data distribution management system according to the next invention, each of the first computers sets an item relating to the monitoring and a threshold value corresponding to the item for determining a failure relating to data distribution. (Corresponding to a distribution monitoring item table according to an embodiment to be described later) for executing the processing described in the distribution monitoring item on the table, and thereafter, a threshold value set in the table, The monitoring result is compared with the monitoring result, and when the monitoring result is smaller than the threshold value, the monitoring result corresponding to the distribution monitoring item is determined to be normal, while the monitoring result is smaller than the threshold value. When the size is larger, the monitoring result corresponding to the distribution monitoring item is determined to be abnormal.

According to the present invention, the computer 1 automatically specifies a distribution monitoring item from a table. This allows
The administrator only needs to confirm the monitoring result, and can efficiently manage the entire system.
Further, according to the present invention, it is possible to have a separate table for each first computer to be monitored. This makes it possible to specify (set) an optimum threshold value suitable for the network in which each first computer is located, and to perform more accurate monitoring based on the optimum threshold value. be able to.

In the distributed data distribution management system according to the next invention, the second computer receives monitoring results notified from all the first computers, and notifies at least one of the monitoring results of an abnormality notification. Is included, based on the address information included in the monitoring result,
The position or communication path of the first computer in which the abnormality has occurred is estimated.

According to the present invention, the second computer compiles a large number of monitoring results from each computer in the large-scale network. This improves the tendency that the more computers in the network, the more difficult it is to identify the fault location, and the larger the network, the more monitoring results can be aggregated. Can be higher.

In the distributed data distribution management system according to the next invention, the second computer further determines a third computer for repairing a failure based on the estimated position or communication path, The decided third
Characterized in that countermeasure information for repairing a failure is transmitted to the computer.

According to the present invention, a more reliable fault occurrence position can be obtained. As a result, an optimal third computer can be selected.

[0032] In the distributed data distribution management system according to the next invention, the second computer further includes a countermeasure management table (corresponding to a countermeasure management table according to an embodiment described later) for storing fault information and countermeasure information thereof. And selecting, from the countermeasure management table, countermeasure information that matches the fault information included in the notified monitoring result, and then transmitting the countermeasure information to the determined third computer. Features.

According to the present invention, the second computer selects, from the countermeasure management table, countermeasure information that matches the fault information included in the notified monitoring result. This allows
Further, optimal countermeasure information can be determined more efficiently. Further, according to the present invention, a countermeasure management table can be provided for each second computer. This makes it possible to determine optimal countermeasure information for the network where the second computer is located.

In the distributed data distribution management system according to the next invention, the second computer further stores at least one piece of countermeasure information including fault information and a priority indicating a repair execution priority. A management table, at least one piece of countermeasure information compatible with the fault information included in the notified monitoring result is selected from the countermeasure management table, and then the countermeasure is provided to the determined third computer. The information is transmitted, and the third computer executes, based on the countermeasure information transmitted from the second computer, countermeasures adapted to the information in the order of the priority.

According to the present invention, the second computer can perform a plurality of countermeasures for one failure by designating the priority. As a result, the third computer can take more reliable countermeasures. Further, according to the present invention, it is possible to have a countermeasure management table for each second computer. As a result, an optimal measure can be determined for each network.

In the distributed data distribution management system according to the next invention, the third computer further measures the validity of all the executed measures, and uses the measurement result as validity information of each measure in the second computer. And the second computer further reflects the validity information transmitted from the third computer in the countermeasure management table.

According to the present invention, the third computer measures the effectiveness of all executed measures, transmits the measurement result to the second computer as effectiveness information of each measure, Reflects the validity information transmitted from the third computer in the countermeasure management table. This allows
The more failures occur, the more optimally the countermeasure management table becomes, so that more effective countermeasures can be taken. Further, this countermeasure can be executed by the third computer according to the priority order. Highly reliable failure countermeasures can be taken.

In the distribution monitoring method according to the next invention, in a distributed data distribution management system for distributing data using a network system in which satellite lines and terrestrial lines coexist, a distribution monitoring method for monitoring a data distribution state. Steps (corresponding to Steps S1 to S8 and Steps S11 to S16 in the embodiment described later) and, when a failure occurs in the data distribution, based on the monitoring result transmitted in the distribution monitoring step, Countermeasure determination step for determining an optimum countermeasure for a failure (corresponding to steps S21 to S28, steps 31 to S39, and steps S41 to S49)
And a countermeasure execution step (corresponding to steps S61 to S69) for executing a countermeasure adapted to the information based on the countermeasure information transmitted in the countermeasure determination step. In this case, the trouble that has occurred is repaired by taking appropriate measures.

According to the present invention, each computer
By having a distribution monitoring step, a countermeasure determination step, and a countermeasure execution step, when a fault occurs, it is possible to automatically collect the details of the fault, estimate the location of the fault, select a fault measure, and execute the fault measure. As a result, the fault that has occurred is automatically repaired in an optimal manner. As a result, the load on the system administrator can be greatly reduced, and a highly reliable system that does not require specialized knowledge from the system administrator can be constructed. In addition, the repair work for the failure can be efficiently performed.

In the distribution monitoring method according to the next invention, in the distribution monitoring step, a first value for setting an item relating to the monitoring and a reference value corresponding to the item for determining a failure relating to data distribution is set. And a second table that stores a deviation value indicating the level of the monitoring result, and executes the process described in the distribution monitoring item on the first table. ,
Further, the deviation value is calculated based on a standard deviation obtained from past statistics, the deviation value is stored in the second table, and thereafter, the reference value set in the first table and the second And comparing the deviation value stored in the table of 2 with the deviation value, when the deviation value is smaller than the reference value, determine that the monitoring result corresponding to the distribution monitoring item is normal, while the deviation value is When the value is larger than the reference value, the monitoring result corresponding to the distribution monitoring item is determined to be abnormal (corresponding to Steps S2 to S7 in an embodiment described later).

According to the present invention, in the distribution monitoring step, a distribution monitoring item is automatically designated from the first table. As a result, the administrator only needs to confirm the monitoring result, and can efficiently manage the entire system. Further, according to the present invention, in the distribution monitoring step, the judgment of normal / abnormal of the distribution monitoring item is determined based on the standard value, so that the more accurate the system deviation is, the higher the standard deviation is obtained. Thereby, the reliability of the abnormality check can be improved.
Further, according to the present invention, in the distribution monitoring step, an abnormality is automatically detected, and a normal state is managed. As a result, it is possible to obtain data that assists in investigating the cause when a failure occurs, data for preventing recurrence, and the like. Further, according to the present invention, the distribution monitoring items can be freely changed and added. Thereby, a more reliable system can be constructed.

In the distribution monitoring method according to the next invention, in the distribution monitoring step, a table for setting an item relating to the monitoring and a threshold value corresponding to the item for determining a failure relating to data distribution. To execute the processing described in the delivery monitoring item on the table, and then compare the threshold value set in the table with the monitoring result, and determine whether the monitoring result is the threshold. When the value is smaller than the threshold value, the monitoring result corresponding to the distribution monitoring item is determined to be normal. On the other hand, when the monitoring result is greater than the threshold value, the monitoring result corresponding to the distribution monitoring item is determined to be abnormal. (Corresponding to steps S12 to S15 in the embodiment described later).

According to the present invention, in the distribution monitoring step, the distribution monitoring item is automatically designated from the table.
As a result, the administrator only needs to confirm the monitoring result, and can efficiently manage the entire system. Further, according to the present invention, it is possible to have a separate table for each computer to be monitored. This makes it possible to specify (set) an optimum threshold value suitable for the network in which each computer is located, and to perform more accurate monitoring based on the optimum threshold value. .

In the distribution monitoring method according to the next invention, in the measure determining step, a plurality of monitoring results notified in the distribution monitoring step are received, and at least one of the monitoring results includes an abnormality notification. If
Based on the address information included in the monitoring result, the position or communication path of the computer where the abnormality has occurred is estimated (steps S22 to S27, S31 to S37, S41 to step S47).

According to the present invention, in the countermeasure determining step, many monitoring results from each computer of the large-scale network are totaled. This improves the tendency that the more computers in the network, the more difficult it is to identify the fault location, and the larger the network, the more monitoring results can be aggregated. Can be higher.

In the distribution monitoring method according to the next invention, in the countermeasure determining step, a computer for repairing a failure is further determined based on the estimated position or communication path, and the determined computer is hand,
It is characterized by transmitting countermeasure information for repairing a failure (corresponding to step S28, step S39, and step S49 in the embodiment described later).

According to the present invention, a more reliable failure occurrence position can be obtained in the measure determination step. As a result, it is possible to select an optimum computer for executing the countermeasure.

[0048] In the distribution monitoring method according to the next invention, in the measure deciding step, the measure information is further matched with the trouble information included in the notified monitoring result by using a measure management table storing the trouble information and the measure information. It is characterized in that countermeasure information is selected, and then the countermeasure information is transmitted to the determined computer (corresponding to step S38 in an embodiment described later).

According to the present invention, in the countermeasure determination step, the countermeasure information that matches the fault information included in the notified monitoring result is selected from the countermeasure management table. This makes it possible to more efficiently determine optimal countermeasure information. Further, according to the present invention, a countermeasure management table can be provided for each computer that executes the countermeasure determination step. This makes it possible to determine optimal countermeasure information for the network in which each computer is located.

In the distribution monitoring method according to the next invention, the measure determining step further includes:
Using a countermeasure management table that stores at least one countermeasure information including a priority indicating a repair execution priority,
At least one piece of countermeasure information that matches the fault information included in the notified monitoring result is selected, and then the countermeasure information is transmitted to the determined computer (steps S48 to S49 of an embodiment described later). In the countermeasure execution step in the determined computer, based on the countermeasure information transmitted in the countermeasure determination step, countermeasures adapted to the information are executed in the order of the priority. (Corresponding to steps S61 to S63).

According to the present invention, in the countermeasure determination step, a plurality of countermeasures are transmitted for one fault with a specified priority. As a result, the computer executing the countermeasure can take a more reliable countermeasure. Further, according to the present invention, it is possible to have a countermeasure management table for each computer that executes the countermeasure determination step. As a result, an optimal measure can be determined for each network.

[0052] In the distribution monitoring method according to the next invention, in the countermeasure execution step, the effectiveness of all the executed countermeasures is measured, and the measurement result is used as the effectiveness information of each countermeasure. It is transmitted to the computer to be executed (Step S in the embodiment described later).
64-corresponding to step S66), wherein the measure determining step further reflects the validity information transmitted in the measure executing step in the measure management table (steps S50 to S51).

According to the present invention, the computer executing the countermeasure execution step measures the effectiveness of all executed countermeasures, and transmits the measurement result to the computer executing the countermeasure determination step as the effectiveness information of each countermeasure. Then, the computer reflects the received validity information in the countermeasure management table. As a result, the more the failure occurs, the more optimally the countermeasure management table becomes, so that more effective countermeasures can be taken. Further, since the countermeasures can be executed in accordance with the priority order, a more reliable Trouble measures can be taken.

[0054]

DETAILED DESCRIPTION OF THE PREFERRED EMBODIMENTS Hereinafter, embodiments of a distributed data distribution management system and a distribution monitoring method according to the present invention will be described in detail with reference to the drawings. The present invention is not limited by the embodiment.

FIG. 1 is a block diagram showing an embodiment of a distributed data distribution management system according to the present invention. In FIG. 1, reference numeral 1 denotes a plurality of computers for monitoring a data distribution state (including a distribution monitoring means). Reference numeral 2 denotes monitoring information received from each computer 1 when a failure occurs in communication between the computers. Based on the countermeasure information received from the computer 2, a computer 3 executes a countermeasure adapted to the information based on the countermeasure information received from the computer 2. 4 is a satellite radio wave uplinked from the transmitting station, 5 is a communication satellite, 6 is a satellite radio wave downlinked from the communication satellite 5 to the receiving station, and 7
Is a public line such as a LAN.

In the distributed data distribution management system according to the present invention, as shown in FIG. 2, each of the computers 1, 2 and 3 has functions other than the functions of each computer described above. And at least one of the distribution monitoring unit, the countermeasure determination unit, and the countermeasure execution unit. More specifically, for example, the computer 1 ′ is
FIG. 2 shows an example in which the computer 2 'has the functions of the computers 1 and 2 and the computer 3' has the functions of the computers 1, 2 and 3.

Hereinafter, the operation of the distributed data distribution management system configured as described above will be described in detail with reference to flowcharts. FIG. 3 is a flowchart showing the operation of each computer 1 constituting the distributed data distribution management system according to the present invention. Here, the operation of one computer 1 will be described, but it is assumed that the other computers 1 operate similarly.

First, the computer 1 checks whether or not it is the monitoring time for data distribution by using a resident program or the like (setting of a timer or the like) (step S1). At this time, if the monitoring time has not yet arrived (step S
1, No), the computer 1 performs this confirmation processing until the monitoring time has been reached (step S1, Yes).

When the monitoring time has been reached, Calculator 1 sends, for example, the delivery monitoring items (line speed, line speed, etc.) described in the delivery monitoring item table set in advance as shown in FIG.
(Step S2), and executes the process described in the distribution monitoring item (Step S3).
Then, the execution result is described in, for example, a monitoring state table shown in FIG. 4B (step S4), and further based on a standard deviation obtained from past statistics, A numerical value representing the presence (hereinafter, referred to as a deviation value) is calculated, and the calculation result is stored in the monitoring state table (step S5).

Thereafter, in the computer 1, the reference deviation value for reference described in the distribution monitoring item table prepared in advance,
FIG. 4 shows the deviation value obtained by calculation and stored.
A comparison process is performed based on the comparison value shown in (a) (step S6). At this time, in the computer 1, when the previously stored deviation value is the same as the comparison value with the reference deviation value for reference prepared in advance (described in the distribution monitoring item table of FIG. 4A) ( In step S7, Yes), the monitoring result corresponding to the distribution monitoring item is determined to be normal, and this operation is repeated at regular time intervals (step S1 to step S7). On the other hand, if the stored deviation value is different from the comparison value for the reference deviation value prepared in advance (step S7, No), the monitoring result corresponding to the distribution monitoring item is determined to be abnormal. Then, the fact is notified to the computer 2 (step S8).

It should be noted that the standard deviation value used in calculating the deviation value is determined by monitoring the distribution monitoring item (step S1).
After performing step S7), the information is reflected and updated each time. Each computer 1 notifies the computer 2 not only when the monitoring result is determined to be abnormal but also when it is determined to be normal. When the comparison value is “<” as shown in FIG. 4A, for example, when the monitored result, that is, the stored deviation value is larger than the reference deviation value for reference, “Yes” ”
>>, it is determined as “Yes” when the stored deviation value is smaller than the reference standard deviation value, and the comparison value is other than “>” and “<”. For example, for example, “≦ (or more)”, “≧ (or less)”, “| ≦ | (absolute value or more)”, “| ≧ | (absolute value or more)”, “= (identical)”, “≠ ( Difference) ”, etc.
Other values may be used as long as they can be determined as comparison values.

As described above, in the computer 1, the distribution monitoring item is automatically specified from the distribution monitoring item table shown in FIG. Can be managed efficiently. In addition, since the computer 1 determines the normal / abnormal judgment of the distribution monitoring item based on the standard value, a higher standard deviation is obtained as the number of system checks increases, and accordingly, an abnormality check with higher reliability is performed. be able to.

Therefore, the distributed data distribution management system according to the present invention automatically detects abnormalities,
Since the normal state is also managed, it is possible to obtain data for helping to determine the cause when a failure occurs, data for preventing recurrence, and the like. In addition, since the determination of normal or abnormal is performed using the deviation value obtained from the monitoring result instead of the obtained monitoring result, the longer the monitoring time,
That is, the more data obtained by monitoring, the more reliable the system can be constructed. In addition, since the distribution monitoring items can be freely changed and added, a more reliable system can be obtained.

FIG. 5 is a flowchart showing the operation of each computer 1 constituting the distributed data distribution management system according to the present invention, which is different from FIG. Here, the operation of one computer 1 will be described, but it is assumed that the other computers 1 operate similarly.

First, the computer 1 checks whether or not it is a monitoring time for data distribution by using a resident program or the like (setting of a timer or the like) (step S11). At this time, if the monitoring time has not yet arrived (step S1)
1, No), the computer 1 performs this confirmation processing until the monitoring time is reached (step S11, Yes).

When the monitoring time is reached, the computer 1 obtains, for example, distribution monitoring items (line speed, collision, etc.) described in a preset distribution monitoring item table as shown in FIG. S12), and execute the processing described in the distribution monitoring item (step S13). Then, the execution result is described in the monitoring status table shown in FIG. 4B described above, and thereafter, in the computer 1, the reference threshold value described in the distribution monitoring item table prepared in advance is used. Then, a process of comparing the above-described monitoring result with the monitoring result is performed (step S14).

At this time, in the computer 1, the monitoring result is
In the case where the comparison value with the prepared reference threshold value (described in the distribution monitoring item table of FIG. 6) is the same as that of the comparison (step S15, Yes), the monitoring result corresponding to the distribution monitoring item is determined to be normal. This operation is repeated at regular time intervals (steps S11 to S15). On the other hand, when the monitoring result is different from the comparison value for the reference threshold prepared in advance (step S15, N
o), the monitoring result corresponding to the distribution monitoring item is determined to be abnormal, and the fact is notified to the computer 2 (step S1).
6). In each computer 1, not only when the monitoring result is determined to be abnormal, but also when it is determined to be normal,
This is notified to the computer 2. Also, there are various types of comparison values here as well as the comparison values described above as an example.

As described above, in the computer 1, the distribution monitoring item is automatically designated from the distribution monitoring item table shown in FIG. 6, so that the administrator only needs to confirm the monitoring result, and FIG. Like the operation, the entire system can be managed efficiently. Further, since the computer 1 can have an individual distribution monitoring item table for each computer 1 to be monitored, it is possible to specify (set) a threshold suitable for the network in which each computer 1 is located. it can.

Therefore, in the distributed data distribution management system according to the present invention, more accurate monitoring can be performed based on the threshold value suitable for the network in which each computer 1 is located.

FIG. 7 is a flowchart showing the operation of the computer 2 constituting the distributed data distribution management system according to the present invention. The operation of the computer 2 will be described based on FIG. First, the computer 2 in the standby state (step S21)
Receives the monitoring result notified from each computer 1 (step S22), and totals the received plurality of monitoring results (step S23). At this time, the computer 2 confirms the presence or absence of an abnormality notification from the received plurality of monitoring results (step S24). For example, when there is no abnormality notification (Step 24, Yes), the computer 2 enters the monitoring result waiting state again (Step S21).

On the other hand, when there is an abnormality (step S2
4, No), the computer 2 stores the address corresponding to the computer 1 that has notified the abnormality (step S25), and thereafter,
Until the monitoring results from all the computers 1 are received, the processing of the above-described steps S21 to S25 is repeated (step S26). Then, after receiving the monitoring results from all the computers 1, the computer 2 determines the position (or communication) of the computer 1 in which the abnormality has occurred based on the address of the computer 1 (not necessarily one) that has notified the abnormality. Road) is estimated (step S27).

After that, the computer 2 selects a computer 3 for performing a repair (first aid measure) for an abnormality (failure) based on the estimated position (address), and sends the selected computer 3 to the selected computer 3. The countermeasure information for repairing the failure is sent (step S28), and the apparatus is again in a state of waiting for the monitoring result.

As described above, in the distributed data distribution management system of the present invention, by having the computer 2,
As in the past, the tendency that the more computers in the network, the more difficult it is to identify the fault location is improved, and the larger the network, the more monitoring results can be aggregated, so the reliability of determining the fault location is increased. be able to. If a more reliable failure occurrence position is obtained, a more appropriate computer 3 can be selected accordingly.

FIG. 8 is a flowchart different from FIG. 7 showing the operation of the computer 2 constituting the distributed data distribution management system according to the present invention. Computer 2 based on FIG.
Will be described. In the flowchart of FIG. 8, processing other than step S38 is the same as the processing of steps S21 to S28 in the flowchart of FIG. 7, and a description thereof will be omitted.

First, the computer 2 repeats the processing of steps S31 to S36 until the monitoring results from all the computers 1 are received, and notifies the abnormality after receiving the monitoring results from all the computers 1. Based on the address of the computer 1 (there is no need to be one), the position (or communication channel) of the computer 1 in which the abnormality has occurred is estimated (step S37).

Here, the computer 2 uses the countermeasure management table shown in FIG. 9 in which the content of the fault and the countermeasure thereof are indicated. Select (step S38). Thereafter, the computer 2 selects a computer 3 for performing a repair (emergency measure) for the failure based on the estimated position (address), and for the selected computer 3 for repairing the failure. The countermeasure information, that is, the countermeasure information selected from the countermeasure management table is sent (step S3).
9), it is in a state of waiting for the monitoring result again. Note that the countermeasure management table shown in FIG. 9 includes a table that holds the content of a fault and the content of a countermeasure against the fault.
If a failure such as "the satellite line is not connected" occurs while using the satellite line, a countermeasure is taken by processing "use the ground line". Accordingly, it is possible to automatically take measures against the failure contents shown in the figure at any time, and to add failures other than the failure contents shown in the figure at any time. The countermeasure management table shown in FIG.
Although it may be provided for each computer 2, for example, it may be stored as a master on a specific computer and each computer 2 may refer to it.

As described above, in the distributed data distribution management system of the present invention, it becomes possible for the computer 2 to use the countermeasure management table shown in FIG. It is often possible to determine countermeasure information. Further, since a countermeasure management table can be provided for each computer 2, it is possible to determine optimum countermeasure information for the network where the computer 2 is located.

FIG. 10 is a flowchart different from FIG. 9 showing the operation of the computer 2 constituting the distributed data distribution management system according to the present invention, and the flowchart showing the operation of the computer 3. The operation of the computer 2 and the computer 3 will be described based on FIG. In the flowchart of FIG. 10, the processes other than Steps S48 to S51 are the same as the processes of Steps S31 to S37 in the flowchart of FIG. 8, and thus description thereof will be omitted.

First, the computer 2 repeats the processing of steps S41 to S46 until the monitoring results from all the computers 1 are received, and notifies the abnormality after receiving the monitoring results from all the computers 1. Based on the address of the computer 1 (there is no need to be one), the position (or communication channel) of the computer 1 in which the abnormality has occurred is estimated (step S47).

Here, the computer 2 uses, for example, a countermeasure management table shown in FIG. 11 in which the content of the fault and at least one countermeasure corresponding to the fault are shown.
At least one countermeasure content that best matches the fault information included in the notified monitoring result is selected (step S4).
8).

Thereafter, the computer 2 selects a computer 3 for performing a repair (emergency measure) for the failure based on the estimated position (address), and repairs the failure for the selected computer 3. Action information,
The countermeasure information selected from the countermeasure management table shown in FIG. 11 is transmitted (step S49). It should be noted that at least one countermeasure content corresponding to the failure content includes a priority indicating a repair execution priority. Specifically, the countermeasure management table shown in FIG. 11 includes a table that holds the content of a fault and at least one content of a countermeasure (including a priority) for the fault. If a fault such as "sanitary line is not connected" occurs, the highest score (priority order) from the processes of "use terrestrial line", "contact the administrator", or "retransmit". Take countermeasures in descending order. Therefore, an optimum countermeasure can be selected at any time with respect to the illustrated failure content, and a failure other than the illustrated failure content and other processing content can be added at any time. Further, the countermeasure management table shown in FIG. 11 may be provided for each computer 2, but for example,
It may be stored as a master on a specific computer, and each computer 2 may refer to it.

The countermeasure information has been received (step S61).
The computer 3 determines a countermeasure in consideration of the priority included in the information, and sequentially executes the countermeasures (step S62,
Step S63). The computer 3 that has executed the countermeasures confirms (measures) the effectiveness of those countermeasures (step S6).
4) Further, the effectiveness of each measure is scored according to the measurement result (step S65), and finally, the score is transmitted to the computer 2 as the effectiveness information of each measure (step S6).
6).

After that, the computer 2 having received the validity information of each measure (Step S50) adds the score to the score column of each measure in the measure management table shown in FIG. 11, and updates the measure management table (Step S50). S51), and again enters a state of waiting for the monitoring result. In FIG. 11, the priority is expressed by the score, but the present invention is not limited to this, and the score does not need to be particularly scored as long as the priority can be determined. Also, regarding the priority of each measure, for example, the higher the score, the higher the priority is the measure. Further, for the score, for example, "very effective",
It is divided into stages such as "effective", "not very effective", and "not effective at all", and points 5, 3, 1, and 0 are added to each table. In addition, for effectiveness, for example, judgments such as "the problem was solved only by the main measures", "other measures were necessary but this measure was necessary", "it is better to not do" Standards will be set.

As described above, since the computer 2 can perform a plurality of countermeasures for one fault by specifying the priority, the distributed data distribution management system of the present invention can perform more reliable fault countermeasures. In addition, since a countermeasure management table can be possessed for each computer 2, an optimum countermeasure can be determined for each network. In addition, as a failure occurs, a more effective measure can be taken, and this measure can be executed by the computer 3 according to the priority order, so that a more reliable measure can be taken.

As described above, in the distributed data distribution management system of the present invention,
By having the computer 1, the computer 2, and the computer 3, when a failure occurs, the content of the failure is automatically collected,
Estimation of the fault occurrence location, selection of fault countermeasures, and execution of fault countermeasures can greatly reduce the load on the system administrator, and does not require specialized knowledge from the system administrator. A highly reliable system can be constructed. In addition, with the configuration shown in FIG. 2, a highly reliable system can be constructed with a free configuration that does not depend on the circumstances of the network and the user.

In the invention disclosed in Japanese Patent Application Laid-Open No. 10-161952, the physical distance between the transmitting side and the receiving side is large, and the cause of the failure on the receiving side is the transmitting side, as in a data distribution system using satellites. However, in the case of the above, there was a problem that it was not possible to appropriately respond, but in the present invention,
Since no grouping is performed, appropriate measures can be taken even if the cause of failure on the receiving side is on the transmitting side.

In the invention of Japanese Patent Application Laid-Open No. 63-280537, the polling method is adopted, and there is a limit in shortening the time from the occurrence of a failure to the detection. When a failure occurs, it is necessary to respond immediately. Although there was a problem that the effectiveness was low in a certain system, in the present invention,
Since each computer transmits the monitoring result at a specific timing, it is possible to respond instantaneously when a failure occurs.

Further, in the invention of Japanese Patent Application Laid-Open No. 8-69396, since the case where the network line is one is targeted, when the line is disconnected and the cause is on the other side through the network, this method is performed. The inability to take countermeasures against failures and the fact that if the transfer performance of the network is degraded, a network with reduced performance must be used to communicate this, and the time to report the failure is long. However, in the present invention, since a plurality of lines (satellite lines and terrestrial lines) are shared, appropriate measures can be taken.

Further, in the invention disclosed in Japanese Patent Application Laid-Open No. 9-186780, since the used line is limited to a switched line such as a public line or ISDN, a failure of a line such as a satellite line or a WAN cannot be detected. However, in the present invention, since a satellite line or a terrestrial line is used, appropriate measures can be taken.

Also, in the invention of Japanese Patent Application Laid-Open No. 9-83514, the load of a computer for setting a specific address on a large-scale network including thousands to tens of thousands of computers such as a satellite network is extremely high. However, according to the present invention, the load on the computers does not increase because each computer does not perform the process of issuing the specific address information related to the cause of the failure.

[0091]

As described above, according to the present invention, by having the first computer, the second computer, and the third computer, when a failure occurs, the first computer, the second computer, and the third computer are automatically set up.
Since the contents of the failure are collected, the location of the failure occurrence is estimated, the failure countermeasure is selected, and the failure countermeasure is executed, the generated failure is automatically repaired in an optimal manner. As a result, it is possible to greatly reduce the load on the system administrator, and it is possible to construct a highly reliable system that does not require specialized knowledge from the system administrator. In addition, there is an effect that the repair work for the failure can be efficiently performed.

According to the next invention, each computer has one or more functions in addition to the functions normally provided. As a result, there is an effect that a highly reliable system can be constructed with a free configuration that does not depend on the circumstances of the network and the user.

According to the next invention, the first computer automatically specifies a distribution monitoring item from the first table.
This has the effect that the administrator only needs to check the monitoring result and can efficiently manage the entire system. Further, according to the present invention, since the first computer determines the normal / abnormal judgment of the distribution monitoring item based on the standard value, the more accurate the system deviation, the higher the standard deviation. As a result, there is an effect that the reliability of the abnormality check can be improved. According to the invention,
The first computer automatically detects the abnormality and also manages the normal state. As a result, it is possible to obtain data for helping to determine the cause when a failure occurs, data for preventing recurrence, and the like. Further, according to the present invention, the distribution monitoring items can be freely changed and added. Thereby, there is an effect that a more reliable system can be constructed.

According to the next invention, the computer 1 automatically specifies the distribution monitoring items from the table. This has the effect that the administrator only needs to check the monitoring result and can efficiently manage the entire system. Further, according to the present invention, it is possible to have a separate table for each first computer to be monitored. This makes it possible to specify (set) an optimum threshold value suitable for the network in which each first computer is located, and to perform more accurate monitoring based on the optimum threshold value. The effect is that it can be done.

According to the next invention, the second computer compiles a large number of monitoring results from each computer in the large-scale network. This improves the tendency that the more computers in the network, the more difficult it is to identify the fault location, and the larger the network, the more monitoring results can be aggregated. This has the effect of being able to be higher.

According to the next invention, a more reliable fault occurrence position can be obtained. Thereby, there is an effect that an optimum third computer can be selected.

According to the next invention, the second computer selects, from the countermeasure management table, countermeasure information that matches the fault information included in the notified monitoring result. As a result, there is an effect that the optimum countermeasure information can be determined more efficiently. Further, according to the present invention, a countermeasure management table can be provided for each second computer. As a result, there is an effect that optimal countermeasure information can be determined for the network where the second computer is located.

According to the next invention, the second computer can perform a plurality of countermeasures for one failure by designating the priority. As a result, the third computer has an effect that more reliable countermeasures can be taken. Further, according to the present invention, it is possible to have a countermeasure management table for each second computer. As a result, there is an effect that an optimum measure can be determined for each network.

According to the next invention, the third computer measures the effectiveness of all executed measures, transmits the measurement result as validity information of each measure to the second computer, and furthermore, The second computer reflects the validity information transmitted from the third computer in the countermeasure management table. This allows
The more failures occur, the more optimally the countermeasure management table becomes, so that more effective countermeasures can be taken. Further, this countermeasure can be executed by the third computer according to the priority order. This has the effect that highly reliable fault measures can be taken.

According to the next invention, each computer has a distribution monitoring step, a countermeasure determining step, and a countermeasure execution step.
Since the contents of the fault, the location of the fault occurrence, the selection of the fault countermeasure, and the execution of the fault countermeasure are automatically performed, the fault that has occurred is automatically repaired in an optimal manner. As a result, it is possible to greatly reduce the load on the system administrator, and it is possible to construct a highly reliable system that does not require specialized knowledge from the system administrator. In addition, there is an effect that the repair work for the failure can be efficiently performed.

According to the next invention, in the distribution monitoring step, a distribution monitoring item is automatically designated from the first table. This has the effect that the administrator only needs to check the monitoring result and can efficiently manage the entire system. Further, according to the present invention, in the distribution monitoring step, the judgment of normal / abnormal of the distribution monitoring item is determined based on the standard value, so that the more accurate the system deviation is, the higher the standard deviation is obtained. As a result, there is an effect that the reliability of the abnormality check can be improved. Further, according to the present invention, in the distribution monitoring step, an abnormality is automatically detected, and a normal state is managed. As a result, it is possible to obtain data for helping to determine the cause when a failure occurs, data for preventing recurrence, and the like. Further, according to the present invention, the distribution monitoring items can be freely changed and added. Thereby, there is an effect that a more reliable system can be constructed.

According to the next invention, in the distribution monitoring step, the distribution monitoring item is automatically designated from the table.
This has the effect that the administrator only needs to check the monitoring result and can efficiently manage the entire system. Further, according to the present invention, it is possible to have a separate table for each computer to be monitored. This makes it possible to specify (set) an optimum threshold value suitable for the network in which each computer is located, and to perform more accurate monitoring based on the optimum threshold value. The effect is as follows.

According to the next invention, in the measure determining step, a large number of monitoring results from each computer of the large-scale network are totaled. This improves the tendency that the more computers in the network, the more difficult it is to identify the fault location, and the larger the network, the more monitoring results can be aggregated. This has the effect of being able to be higher.

According to the next invention, a more reliable failure occurrence position can be obtained in the measure determination step. As a result, there is an effect that an optimum computer for executing the countermeasure can be selected.

According to the next invention, in the countermeasure determination step, countermeasure information matching the fault information included in the notified monitoring result is selected from the countermeasure management table. As a result, there is an effect that the optimum countermeasure information can be determined more efficiently. Further, according to the present invention, a countermeasure management table can be provided for each computer that executes the countermeasure determination step. This allows
This has the effect that optimal countermeasure information can be determined for the network in which each computer is located.

According to the next invention, in the countermeasure determination step, a plurality of countermeasures are transmitted for one fault by designating the priority. As a result, there is an effect that the computer that executes the countermeasure can take more reliable countermeasures. Further, according to the present invention, it is possible to have a countermeasure management table for each computer that executes the countermeasure determination step. As a result, there is an effect that an optimum measure can be determined for each network.

According to the next invention, the computer that executes the countermeasure execution step measures the effectiveness of all the executed countermeasures, and uses the measurement result as the information on the effectiveness of each countermeasure to the computer that executes the countermeasure determination step. The computer transmits the information and reflects the received validity information in the countermeasure management table. As a result, the more the failure occurs, the more optimally the countermeasure management table becomes, so that more effective countermeasures can be taken. Further, since the countermeasures can be executed in accordance with the priority order, a more reliable This has the effect of taking measures against obstacles.

[Brief description of the drawings]

FIG. 1 is a configuration diagram showing an embodiment of a distributed data distribution management system according to the present invention.

FIG. 2 is another configuration diagram showing an embodiment of the distributed data distribution management system according to the present invention.

FIG. 3 is a flowchart showing an operation of each computer 1 constituting the distributed data distribution management system according to the present invention.

FIG. 4 is a diagram showing an example of the contents of a distribution monitoring item table.

FIG. 5 is a flowchart showing an operation of each computer 1 constituting the distributed data distribution management system according to the present invention.

FIG. 6 is a diagram showing an example of the contents of a distribution monitoring item table.

FIG. 7 is a flowchart showing the operation of the computer 2 configuring the distributed data distribution management system according to the present invention.

FIG. 8 is a flowchart showing the operation of the computer 2 constituting the distributed data distribution management system according to the present invention.

FIG. 9 is a diagram showing an example of the contents of a countermeasure management table.

FIG. 10 is a flowchart showing the operation of the computers 2 and 3 constituting the distributed data distribution management system according to the present invention.

FIG. 11 is a diagram showing an example of the contents of a countermeasure management table.

FIG. 12 is a diagram showing a configuration of a conventional distributed data distribution management system.

FIG. 13 is a diagram showing a configuration of a conventional distributed data distribution management system.

FIG. 14 is a diagram showing a configuration of a conventional distributed data distribution management system.

FIG. 15 is a diagram showing a configuration of a conventional distributed data distribution management system.

FIG. 16 is a diagram illustrating a configuration of a conventional distributed data distribution management system.

[Explanation of symbols]

1,2,3,1 ', 2', 3 'computer, 4,6 satellite radio wave, 5 communication satellite, 7 public line.

 ──────────────────────────────────────────────────続 き Continued on the front page F term (reference) MD01 5K035 AA01 AA03 CC08 CC10 DD01 EE01 FF01 JJ02 LL11 LL17 MM04

Claims (17)

[Claims] 1. A distributed data distribution management system for distributing data using a network system in which satellite lines and terrestrial lines coexist. In a distributed data distribution management system, a plurality of first computers including distribution monitoring means for monitoring a data distribution state; A second computer including a measure deciding means for deciding an optimal measure for the failure based on a monitoring result transmitted from each of the first computers when a failure occurs in the data distribution; Based on the countermeasure information sent from the computer of
A third computer including a countermeasure executing means for executing a countermeasure adapted to the information, wherein a fault that has occurred is repaired by the countermeasure executed by the third computer. Management system. 2. Each of the first computer, the second computer, and the third computer includes, in addition to the units included as functions of the computers, the distribution monitoring unit and the countermeasure determining unit. 2. The distributed data distribution management system according to claim 1, further comprising at least one of the following means: 3. The first computer includes: a first table for setting an item related to the monitoring and a reference value corresponding to the item for determining a failure related to data distribution; And a second table for storing a deviation value indicating the level of the result. The processing described in the delivery monitoring item on the first table is performed. The deviation value is calculated based on the obtained standard deviation, the deviation value is stored in the second table, and thereafter, the reference value set in the first table and stored in the second table. If the deviation value is smaller than the reference value, it is determined that the monitoring result corresponding to the distribution monitoring item is normal, and if the deviation value is larger than the reference value. In the delivery monitoring section Distributed data distribution management system according to claim 1 or 2, characterized in that it is determined that abnormality monitoring results corresponding to. 4. Each of the first computers includes a table for setting an item relating to the monitoring and a threshold value corresponding to the item for determining a failure relating to data distribution. Executing the processing described in the delivery monitoring item, and then comparing the threshold value set in the table with the monitoring result, and when the monitoring result is smaller than the threshold value, It is determined that the monitoring result corresponding to the delivery monitoring item is normal, while the monitoring result is larger than the threshold,
3. The distributed data distribution management system according to claim 1, wherein a monitoring result corresponding to the distribution monitoring item is determined to be abnormal. 5. The second computer receives a monitoring result notified from all the first computers, and, if at least one of the monitoring results includes an abnormality notification, the monitoring result And estimating a position or a communication path of the first computer in which the abnormality has occurred, based on the address information included in the information.
2. The distributed data distribution management system according to 1. 6. The second computer further determines a third computer for repairing a failure based on the estimated position or communication path, and determines a third computer for the determined third computer. 6. The distributed data distribution management system according to claim 5, wherein countermeasure information for repairing the failure is transmitted. 7. The second computer further includes a countermeasure management table for storing fault information and countermeasure information, and matches the fault information included in the notified monitoring result from the countermeasure management table. 7. The distributed data distribution management system according to claim 6, wherein the countermeasure information is selected, and thereafter, the countermeasure information is transmitted to the determined third computer. 8. The countermeasure management table which stores fault information and at least one countermeasure information including a priority indicating a repair execution priority, wherein the countermeasure management table includes: Selecting at least one piece of countermeasure information that is compatible with the fault information included in the notified monitoring result, and transmitting the countermeasure information to the determined third computer; Is based on the countermeasure information transmitted from the second computer,
7. The distributed data distribution management system according to claim 6, wherein measures suitable for the information are executed in the order of the priority. 9. The third computer further measures the effectiveness of all of the executed measures, transmits the measurement result to a second computer as effectiveness information of each measure, and The distributed data distribution management system according to claim 8, wherein the computer further reflects the validity information transmitted from the third computer in the countermeasure management table. 10. A distribution monitoring method for a distributed data distribution management system that distributes data using a network system in which satellite lines and terrestrial lines coexist; a distribution monitoring step of monitoring a data distribution state; When a failure occurs, based on the monitoring result transmitted in the distribution monitoring step, a measure determining step for determining an optimal measure for the failure, and based on the measure information transmitted in the measure determining step, A delivery monitoring method, comprising: a countermeasure execution step of executing a countermeasure adapted to the information; and repairing a fault that has occurred by the countermeasure executed in the countermeasure execution step. 11. The distribution monitoring step includes: a first table for setting an item related to the monitoring and a reference value corresponding to the item for determining a failure related to data distribution; Using a second table that stores a deviation value indicating the level of the level, and executing a process described in a delivery monitoring item on the first table, using a second table. Calculating the deviation value based on the standard deviation obtained, storing the deviation value in the second table, and then storing the reference value set in the first table and the reference value set in the second table. And comparing the deviation value, if the deviation value is smaller than the reference value, it is determined that the monitoring result corresponding to the distribution monitoring item is normal, while if the deviation value is larger than the reference value, The arrangement Delivery monitoring method according to claim 10, characterized in that to determine the monitoring result corresponding to the monitoring items and abnormality. 12. In the distribution monitoring step, a table for setting an item relating to the monitoring and a threshold value corresponding to the item for determining a failure relating to data distribution is used. The process described in the distribution monitoring item is executed. Thereafter, the threshold value set in the table is compared with the monitoring result. If the monitoring result is smaller than the threshold value, the distribution is performed. When the monitoring result corresponding to the monitoring item is determined to be normal, while the monitoring result is larger than the threshold value,
The distribution monitoring method according to claim 10, wherein a monitoring result corresponding to the distribution monitoring item is determined to be abnormal. 13. The countermeasure deciding step, wherein, when a plurality of monitoring results notified in the distribution monitoring step are received, and at least one of the monitoring results includes an abnormality notification, the monitoring result includes 13. The computer according to claim 11, wherein a position or a communication path of the computer in which the abnormality has occurred is estimated based on the included address information.
Delivery monitoring method described in. 14. The countermeasure determining step further includes: determining a computer for performing a repair on the failure based on the estimated position or the communication path; and performing a repair on the determined computer for repairing the failure. 14. The distribution monitoring method according to claim 13, wherein countermeasure information is transmitted. 15. The countermeasure determination step further includes selecting countermeasure information that matches the fault information included in the notified monitoring result by using a countermeasure management table that stores the fault information and the countermeasure information. 15. The distribution monitoring method according to claim 14, wherein the countermeasure information is transmitted to the determined computer. 16. The monitoring result notified using the countermeasure management table that stores fault information and at least one countermeasure information including a priority indicating a repair execution priority in the countermeasure determining step. Select at least one countermeasure information that matches the failure information contained in
The countermeasure information is transmitted to the determined computer, and in the countermeasure execution step in the determined computer, based on the countermeasure information transmitted in the countermeasure determination step, a countermeasure adapted to the information is provided. 15. The distribution monitoring method according to claim 14, wherein the distribution monitoring is performed in the order of priority. 17. The countermeasure execution step further measures the effectiveness of all the executed countermeasures, and transmits the measurement result as effectiveness information of each countermeasure to a computer that executes the countermeasure determination step. 17. The distribution monitoring method according to claim 16, wherein in the countermeasure determination step, the validity information transmitted in the countermeasure execution step is reflected in the countermeasure management table.