KR20150000987A - Method for Predicting Obstacle for Connection Service through Connection Server - Google Patents

Method for Predicting Obstacle for Connection Service through Connection Server Download PDF

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KR20150000987A
KR20150000987A KR1020130073471A KR20130073471A KR20150000987A KR 20150000987 A KR20150000987 A KR 20150000987A KR 1020130073471 A KR1020130073471 A KR 1020130073471A KR 20130073471 A KR20130073471 A KR 20130073471A KR 20150000987 A KR20150000987 A KR 20150000987A
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service
response time
server
adapter
average
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KR1020130073471A
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Korean (ko)
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강신석
정윤혁
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주식회사 이아이컨설팅
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Publication of KR20150000987A publication Critical patent/KR20150000987A/en

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    • G—PHYSICS
    • G06—COMPUTING; CALCULATING OR COUNTING
    • G06F—ELECTRIC DIGITAL DATA PROCESSING
    • G06F11/00—Error detection; Error correction; Monitoring
    • G06F11/30—Monitoring
    • G06F11/3003—Monitoring arrangements specially adapted to the computing system or computing system component being monitored
    • G06F11/3006—Monitoring arrangements specially adapted to the computing system or computing system component being monitored where the computing system is distributed, e.g. networked systems, clusters, multiprocessor systems
    • G—PHYSICS
    • G06—COMPUTING; CALCULATING OR COUNTING
    • G06F—ELECTRIC DIGITAL DATA PROCESSING
    • G06F11/00—Error detection; Error correction; Monitoring
    • G06F11/30—Monitoring
    • G06F11/3065—Monitoring arrangements determined by the means or processing involved in reporting the monitored data
    • G—PHYSICS
    • G06—COMPUTING; CALCULATING OR COUNTING
    • G06F—ELECTRIC DIGITAL DATA PROCESSING
    • G06F11/00—Error detection; Error correction; Monitoring
    • G06F11/30—Monitoring
    • G06F11/34—Recording or statistical evaluation of computer activity, e.g. of down time, of input/output operation ; Recording or statistical evaluation of user activity, e.g. usability assessment
    • G06F11/3466—Performance evaluation by tracing or monitoring
    • G06F11/3495—Performance evaluation by tracing or monitoring for systems

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  • Theoretical Computer Science (AREA)
  • General Engineering & Computer Science (AREA)
  • Physics & Mathematics (AREA)
  • Quality & Reliability (AREA)
  • General Physics & Mathematics (AREA)
  • Computing Systems (AREA)
  • Computer Hardware Design (AREA)
  • Mathematical Physics (AREA)
  • Debugging And Monitoring (AREA)

Abstract

The present invention relates to a method of predicting an intelligent failure of a linkage service in a link server, and more particularly, it relates to a method of predicting an occurrence possibility of an unexpected failure in a link server using a link service, The object of the present invention is to provide a method of predicting an intelligent failure of a linking service in a link server capable of providing a service by continuously collecting and storing the response time and the number of errors transmitted from the source adapter and the target adapter, The management server dynamically generates an optimal Upper Control Limit value from the response time collected from the adapters through the Xbar-R chart analysis technique, Monitors the adapter's epoch times, If you continue to monitor the number of errors that occurred in the system to increase the number of sustainable trend of the error number is set to more than achieved in conjunction server characterized in that the warning system by intelligent fault prediction method of connection services.

Description

[0001] The present invention relates to a method for predicting an intelligent failure of a linkage service in a link server,

The present invention relates to a method of predicting an intelligent failure of a linkage service in a link server, and more particularly, it relates to a method of predicting an occurrence possibility of an unintentional link in a link server using a link service, The present invention relates to a method for predicting an intelligent failure of a linkage service in a link server capable of continuously providing service.

BRIEF DESCRIPTION OF THE DRAWINGS Fig. 1 shows a block diagram of an associated configuration of a prior art cooperative service system.

Referring to FIG. 1, the system includes a plurality of institution servers 100, such as a government agency that holds source information for a business, a business server 100 that processes the business using the source information, And an association server 500 for linking the institution server 100 and the business server 200 to execute a linked service. Of course, the Internet network 400 is connected between the servers, but the present invention is not limited thereto, and an intranet may be applied, and the network may be connected by wire or wire.

The business server 200 integrates and processes welfare services in cooperation with a user terminal 100 of a local government or the like in order to integrally manage information on the qualifications and histories of various social welfare benefits and service applicants And the institution server 300 may be a server of an organization such as the National Tax Service that transmits various income and property information related to the welfare benefit applicant in cooperation with the business server 100 to the business server 100. However, .

The linked service is composed of a "use service" which receives information from an institution server to be linked, and a "provided service"

However, there is always a risk of service interruption due to various obstacles in the above-mentioned system configuration. For example, the limitations of the hardware processing capacity of the link server providing the link service, the limit of the link environment according to the authentication or the license condition of the link software, various obstacles due to the processing load of the network or the linked agency server, And the risk of data errors. Therefore, it is necessary to provide uninterrupted connection services considering these various obstacles.

In addition, in providing a connection service of a conventional connection server, it is difficult for the administrator to recognize the failure only if a connection failure occurs and the connection service is interrupted to continuously provide the connection service without interruption.

In addition, since the conventional fault prediction method can detect only by a defined pattern, there is a disadvantage that filtering processing can not be performed for a specific spot event.

The present invention has been developed in recognition of the problems of the prior art as described above, and it is an object of the present invention to provide a method and apparatus for estimating the probability of occurrence of an unexpected failure in a link server using a link service, And to provide a method for predicting intelligent failure of a linkage service in a link server that can continuously provide services by allowing the service to be continuously provided.

In addition, the present invention establishes an upper limit (UCL) on the allowable response time by establishing a database of the service response time of the target system during the connection service provision, and sets the upper limit (UCL) Chart analysis statistical analysis technique is used to identify the symptoms of service disruption such as continuous increase of service response time and continuous increase of error, so as to provide anticipatory services by setting up anticipated notifications that are expected to cause service disruption in advance The purpose of this paper is to provide a method of intelligent fault prediction.

It is another object of the present invention to provide a system and method for intelligently generating an upper limit of an optimal size corresponding to an operating state of a linkage service system without manually inputting a failure occurrence estimation value, And to provide an intelligent failure prediction method capable of making predictions.

According to an aspect of the present invention, there is provided a method for managing a failure in a link service system including a source data unit, a source adapter, a link server, a target adapter, a target data unit, A method of intelligently predicting a failure of a linked service in a link server capable of continuously providing a service by predicting the possibility of occurrence in advance and allowing an administrator to prepare for a failure,

The management server continuously collects and stores the response time and the number of errors transmitted from the source adapter and the target adapter, and the management server calculates an optimal average value from the response time collected from the adapters through the Xbar- The management server monitors the admission time of each adapter according to the generated optimum average response time, monitors the number of errors occurred in the linkage service system, and continuously counts the number of errors The warning is given to the system when the increase in the number of times of the increase of the number of times of the connection is continued for a predetermined number of times or more.

In the above embodiment, the set number of times is 7.

The optimum average response time may be determined by obtaining an average value for a specific group with respect to a response time in transmitting each data, obtaining a range value with respect to the average value of the obtained groups, And a total average value of the range values of the respective groups is calculated and calculated.

In the above embodiment, the optimal average response time may be calculated by continuously cumulatively adding an average response time during operation of the system.

In this embodiment, the system is characterized in that a preliminary failure alarm is issued when any one of the response times of the system exceeds the response time upper limit value (UCL).

According to the present invention, it is difficult to determine a service response upper limit (UCL) by applying a uniform process σ (standard deviation) value by using the Xbar-R chart analysis technique used for process management of production management as a prediction technique of service failure In contrast to the conventional technology, the upper limit of service average response is dynamically determined through continuous data accumulation during service, and more active service management becomes possible. In addition, in order to compensate for the shortcoming of monitoring for the increase of simple response time, And a more complete and intelligent fault prediction becomes possible.

BRIEF DESCRIPTION OF THE DRAWINGS Fig. 1 shows a block diagram of an associated configuration of a prior art cooperative service system.
2 shows a block diagram of a linked service system according to an embodiment of the present invention.
FIG. 3 shows a flowchart of a method of predicting an intelligent failure of a linkage service in a link server of the present invention.
Fig. 4 shows a screen example showing schematically a method of setting the optimum average response time.
5 is a diagram showing a calculation formula for setting an optimum average response time.
6 is a diagram showing a detection method for an abnormal value of the response time.

Hereinafter, a method for predicting an intelligent failure of a link service in a link server according to an embodiment of the present invention will be described in detail with reference to the accompanying drawings. In the drawings, the same or similar reference numerals are given to the same or similar portions.

2 shows a block diagram of a linked service system according to an embodiment of the present invention.

2, the linked service system of the present invention includes a source data unit 10, a source adapter 20, an association server 30, a target adapter 40, a target data unit 50, (60).

The source data unit 10 includes raw data input to the system. The source adapter 20 transmits the source data 10, response time and error data to the link server 30. The link server 30 receives the source data from the source adapter 20 and transmits the source data to the target adapter. The target adapter 400 receives the source data input from the link server 30, . The target data portion 50 receives target data from the target adapter 40. The management server 60 aggregates and manages the response time and the error data processed by the link server 30 and also manages the response time transmitted from the source adapter 20 and the target adapter 40 The optimal response time of the system is calculated by calculating the average response time during the predetermined period of time which the user optimally estimates, so that the optimal period of time may be different depending on the user's setting.

3 shows a flowchart of a method for predicting an intelligent failure of a linkage service in a link server of the present invention. Hereinafter, the method of the present invention will be described in detail with reference to FIG. 2 and FIG.

First, the management server 60 continuously collects and stores the response time and the number of errors transmitted from each adapter such as the source adapter 20, the target adapter 40, and the like of the linkage service system of the present invention (S10 ), The management server 60 sets an optimal average response time (UCL) by the Xbar-R chart analysis technique from the collected response time (S20). Then, the management server 60 monitors the response time of each adapter according to the set optimum average response time (S30), counts the number of errors occurred in the linkage service system (S60), confirms an increase in the number of errors The number of errors is monitored in step S70).

If the response time for each of the adapters of the source adapter 20 and the target adapter 40 exceeds the optimum average response time UCL at step S40, a system warning is issued in preparation for the failure at step S60. When the number of occurrences of the errors occurring in the adapters 20 and 40 is 5, 6, and 7, and the number of consecutive 7 increases is found (S80) A warning is given to the system (S60).

Fig. 4 shows a screen example showing schematically a method of setting the optimum average response time.

Referring to the drawing, an Xbar-R chart analysis method is applied to calculate a range average value and a range value in which each average value is distributed for detection of the outliers (A, B) for each response time. However, since the characteristics are different for each system, a stable system cumulative average response time is applied to elicit a more detailed and reasonable response time for unformatted response time. This time can be appropriately set according to the user's experience or the like. In the drawings, each numerical value of the table is a constant value calculated by calculation, and thus is not particularly related to the present invention, and therefore, the description of the numerical value is omitted so as not to unnecessarily obscure the gist of the present invention.

5 is a diagram showing a calculation formula for setting an optimum average response time.

As shown in the figure, the average of the response times for each data transmission is obtained (step C) by the following equation.

Figure pat00001
(One)

That is, the average value of each group is calculated, where n is the number of times,

Figure pat00002
Is the period average value.

Then, a range value for each average value is obtained (step D) by the following equation.

Figure pat00003
(2)

In the above equation, R represents a range.

Next, the total average of all the groups, that is, the average of the processes (step E), that is, the average of each process, is given by the following equation.

Figure pat00004
(3)

Then, the average of the entire range is obtained. That is, the average of each range is obtained by the following equation (step F).

Figure pat00005
(4)

 The maximum allowable response time upper limit value (UCL) is derived using the average value obtained by the above equations (1) to (4). However, the conventional Xbar-R chart analysis technique is an optimized calculation formula for obtaining a formalized process value (steps G and H).

Figure pat00006

Figure pat00007
(5)

Figure pat00008

Figure pat00009
(6)

Wherein CL represents an intermediate value.

Therefore, in order to improve the accuracy of obtaining the average of response time of various system data transmission, it is possible to automatically adjust the maximum allowable response time upper limit value (UCL) by continuously accumulating and accumulating the average response time during system operation. Therefore, the longer the operating time, the more accurate the upper limit can be derived.

6 is a diagram showing a detection method for an abnormal value of the response time.

Referring to the drawing, as shown in the drawing, when the system response time exceeds one of the response time upper limit value (UCL) during operation of the system (I) and the continuous response time even though the response time upper limit value is not exceeded If there is an increase in the response time showing a continuous increase of 7 or more times, the operator is notified of the trouble occurrence preliminary warning to the operator so that the operator can prevent the trouble in advance through the system check or the like.

According to the present invention described above, the service response upper limit (UCL) is calculated by applying a uniform process σ (standard deviation) value using the Xbar-R chart analysis technique used for process management of production management as a prediction method of service failure, It is possible to manage the service more dynamically by dynamically setting the upper limit of the average service response through continuous accumulation of data during the service and to compensate the disadvantage of monitoring the increase of the simple response time, And the monitoring method for the increase in the number of cases is performed in parallel to enable more complete and intelligent prediction of the failure.

Although the intelligent failure prediction method of the linkage service in the link server according to the embodiment of the present invention has been described in detail with reference to the drawings, it should be understood that the description is for illustrative purposes only and is not intended to limit the present invention And the scope of the present invention is defined by the appended claims rather than the foregoing detailed description, and the scope of the appended claims is to be accorded the broadest interpretation so as to encompass all such modifications and variations as may come within the meaning and range of equivalency of the claims and their equivalents It should be construed as being included within the scope of the present invention, and such modified embodiments should not be individually understood from the technical idea or viewpoint of the present invention.

10: source data part 20: source adapter
30: connection server 40: target adapter
50: target data part 60: management server

Claims (5)

By predicting the possibility of unintentional faults in the linked service system including the source data part, the source adapter, the link server, the target adapter, the target data part, and the management server, A method for intelligently predicting a failure of a linkage service in a linkage server capable of providing a service continuously,
The management server continuously collects and stores the response time and the number of errors transmitted from the source adapter and the target adapter, and the management server calculates an optimal average value from the response time collected from the adapters through the Xbar- The management server monitors the admission time of each adapter according to the generated optimum average response time, monitors the number of errors occurred in the linkage service system, and continuously counts the number of errors Wherein the warning is notified to the system when the increase in the number of times of the increase of the service is continued for a predetermined number of times or more.
The method according to claim 1,
Wherein the predetermined number of times is 7.
The method according to claim 1 or 2,
Wherein the optimum average response time is obtained by obtaining an average value for a specific group with respect to a response time in transmission of each data, obtaining a range value with respect to an average value of the obtained groups, obtaining an overall average of the groups, And calculating a total average value for the link service in the link server.
The method of claim 3,
Wherein the optimal average response time is calculated by continuously cumulatively adding an average response time during operation of the system.
The method according to claim 1,
Wherein the system generates a failure preliminary alarm when at least one of the response times of the system in the system exceeds a response time upper limit value (UCL).
KR1020130073471A 2013-06-26 2013-06-26 Method for Predicting Obstacle for Connection Service through Connection Server KR20150000987A (en)

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Cited By (2)

* Cited by examiner, † Cited by third party
Publication number Priority date Publication date Assignee Title
WO2022071615A1 (en) * 2020-09-29 2022-04-07 제이엠사이트 주식회사 Failure prediction method and apparatus implementing same
KR102417823B1 (en) * 2022-02-10 2022-07-06 대신네트웍스 주식회사 SMART PoE SWITCH WITH NTP

Cited By (2)

* Cited by examiner, † Cited by third party
Publication number Priority date Publication date Assignee Title
WO2022071615A1 (en) * 2020-09-29 2022-04-07 제이엠사이트 주식회사 Failure prediction method and apparatus implementing same
KR102417823B1 (en) * 2022-02-10 2022-07-06 대신네트웍스 주식회사 SMART PoE SWITCH WITH NTP

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