JP5397016B2 - Data display system, data display method, and data display program - Google Patents

Description

  In the present invention, when data values actually measured for a wide variety and a large number of service monitoring items are collectively displayed for each service monitoring item, the data that can be grasped at a glance at the data fluctuation range and problem level of each service monitoring item The present invention relates to a display system, a data display method, and a data display program.

  In recent years, IT systems are increasingly providing important functions in business and operations in the form of “IT services”. Along with this, the value of IT systems is evaluated by the performance of services. There are a wide variety of indicators for monitoring the status of IT systems and services. One example is SLA (Service Level Agreement). SLA is an evaluation item for evaluating service performance when contracting an IT service, and the Ministry of Economy, Trade and Industry defines many evaluation items in SLA guidelines (see Non-Patent Document 1). Examples of SLA evaluation items include service response time, service provision time, service operation rate, and transaction completion rate. FIG. 12 is an explanatory diagram showing an example of SLA evaluation items and their guarantee contents.

  FIG. 13 is an explanatory diagram illustrating a graph display example of SLA evaluation items. As shown in FIG. 13, since the SLA evaluation items have different information properties and contents to be confirmed depending on the items, there are graph display methods suitable for each item. For example, as for the service response time, it is important to confirm and analyze the trend of the relative relationship between the response time for each trial (measurement) and the SLA reference value, so that the service response time as shown in the graph in FIG. A bar graph display in time series is suitable. However, when an appropriate graph display is performed for each SLA evaluation item as in the graph of each SLA evaluation item shown in FIG. 13, the display area is inevitably enlarged, and the result listability is deteriorated. Moreover, when various types of graphs are mixed, the screen becomes complicated and it is difficult to grasp the situation at first glance.

  Non-Patent Document 2 describes a display method that makes it possible to grasp at a glance the compliance status of various and a large amount of monitoring items. FIG. 14 is an explanatory diagram showing a display example of the service monitoring status described in Non-Patent Document 2. In the leftmost column of the table shown in FIG. 14, customer names or monitoring target topologies (bold characters) and monitoring items (SLA evaluation items) in units of customers or monitoring target topologies are displayed. In each cell in the right column of the table shown in FIG. 14, the compliance status of each monitoring item is displayed for each date. The compliance status is displayed as an indicator such as “× (violation)” and “! (Danger)”, and a combination of a trend analysis value and a violation analysis value. For each SLA evaluation item, the user determines the situation while looking at the information indicating the compliance status, and establishes a policy such as the content and order of countermeasures.

  Patent Document 1 describes a display device having an editing function that enables a display in which a plurality of partial data reduction or enlargement areas are mixed in the same display area. The display device described in Patent Document 1 has a plurality of regions having different enlargement factors in the same screen by inputting a trend graph display magnification on the display screen and specifying a display region or a display section. To display the data.

Patent No. 2865730 (2 pages, right 10 lines-2 pages, right 24 lines, claim 1)

Ministry of Economy, Trade and Industry, “SLA Guidelines for SaaS”, [online], January 21, 2008, [Search May 11, 2009], Internet <URL: http://www.meti.go.jp/press/ 20080121004 / 03_guide_line_set.pdf> IBM Japan, “Service level management using Tivoli Service Level Advisor”, [online], April 7, 2005, [May 11, 2009 search], Internet <URL: http: / /www-06.ibm.com/jp/services/itil/pdf/events/2005040704.pdf> (page 11)

  However, in the display method described in Non-Patent Document 2, the compliance status of each SLA evaluation item is displayed as a list of numerical values. Therefore, in order to accurately grasp the compliance status, it is necessary to interpret the meaning of the listed values. There is a large burden on the user. In particular, when the number of customers and the number of SLA evaluation items are large, the burden on the user becomes noticeable. For example, important information such as the fact that there is no warning with an indicator but it is actually dangerous from the trend of numerical values. The possibility of oversight increases.

  Moreover, in the display device described in Patent Document 1, it is necessary for the user to specify the enlargement / reduction target area and the magnification for each graph, which places a heavy burden on the user. In particular, when a large number of SLA evaluation item graphs are displayed and a large number of graphs are listed, the burden on the user becomes significant.

  Therefore, the present invention makes it easy to understand at a glance the degree of problem in each service monitoring item when displaying a list of data values measured for a wide variety of service monitoring items for each service monitoring item in the same format graph. An object of the present invention is to provide a data display system, a data display method, and a data display program for display.

The data display system according to the present invention determines the drawing range of the graph from the measured values of the service monitoring items stored in the storage means so as to include measured values of a predetermined ratio or more with respect to the total number of measured values of the service monitoring items. When one reference value is set by the user, the reference value is used as a target value, and a coefficient including a statistic including an average value and a standard deviation of measured values for each service monitoring item accumulated in the storage unit is used as a coefficient. Using a logarithmic function that gives a logarithmic distribution centered on the target value, the drawing scale determining means for determining the data distribution of the graph of the service monitoring item, and the drawing range and data distribution of the graph determined by the drawing scale determining means It is characterized by having a data drawing means for creating a graph and drawing the measured value of the service monitoring item on the created graph. The

The data display method according to the present invention is a data display method for collectively displaying the measured values of service monitoring items in a list for each service monitoring item, from the accumulated measured values of service monitoring items. The drawing range of the graph is determined so that the measured value of a predetermined ratio or more with respect to the total number of data is included, and when one reference value is set by the user, the reference value is set as the target value, and each accumulated service monitoring item The data distribution of the graph of the service monitoring item is determined by using a logarithmic function that has a coefficient including a statistic including the average value and standard deviation of the actual measurement value and gives a logarithmic distribution centered on the value of interest . A graph is created according to a drawing range and data distribution of the graph, and an actual measurement value of the service monitoring item is drawn on the created graph.

The data display program according to the present invention provides a service monitoring item based on the measured values of service monitoring items stored in a computer provided in a data display system that collectively displays the measured values of service monitoring items for each service monitoring item. A process for determining the drawing range of the graph so that an actual measurement value equal to or greater than a predetermined ratio with respect to the total number of actual measurement values for the item is included, and a process for setting the reference value as a target value when one reference value is set by the user And using a logarithmic function that gives a logarithmic distribution centered on the value of interest using a logarithmic function that has a statistic that includes the average and standard deviation of the measured values for each service monitoring item accumulated, as a coefficient, A graph is created according to the process of determining the data distribution, the drawing range and the data distribution of the determined graph, and the corresponding graph is created on the created graph. And a process of drawing an actual measurement value of a service monitoring item.

  According to the present invention, when a list of data values actually measured for a wide variety of service monitoring items is displayed for each service monitoring item in the same format graph, it is easy to understand at a glance the degree of problem in each service monitoring item. Can be displayed.

It is a block diagram which shows the structure of 1st Embodiment of the data display system by this invention. It is explanatory drawing which shows an example of the data format which a monitoring memory | storage information storage part hold | maintains. It is a flowchart which shows operation | movement of the data display system shown in FIG. It is explanatory drawing which shows an example of the actual value of service response time. It is explanatory drawing which shows the bar graph which drawn the measured value shown in FIG. It is explanatory drawing which shows an example of the bar graph which a data drawing means draws. It is explanatory drawing which shows an example of the bar graph which a data drawing means draws. It is a block diagram which shows the structure of 2nd Embodiment of the data display system by this invention. It is a flowchart which shows operation | movement of the data display system shown in FIG. It is explanatory drawing which shows an example of the bar graph which the data display system shown in FIG. 8 draws. It is a block diagram which shows the principal part of the data display system by this invention. It is explanatory drawing which shows an example of the SLA evaluation item, and the guarantee content. It is explanatory drawing which shows the example of a graph display of an SLA evaluation item. It is explanatory drawing which shows the example of a display of the service monitoring condition described in the nonpatent literature 2.

Embodiment 1. FIG.
FIG. 1 is a block diagram showing a configuration of a first embodiment (embodiment 1) of a data display system according to the present invention. With reference to FIG. 1, the structure of the data display system of the 1st Embodiment of this invention is demonstrated.

  The data display system shown in FIG. 1 includes an input / output device 1, a data processing device 2, and a storage device 3.

  The input / output device 1 includes input means (not shown) such as a keyboard and a mouse and display means (not shown) such as a monitor and a printer. The input / output device 1 inputs an input signal corresponding to an input operation in the input means to the data processing device 2. The input / output device 1 displays the output from the output means in accordance with the output signal output from the data processing device 2.

  The storage device 3 stores information handled by the data display system shown in FIG. The storage device 3 includes a monitoring item information storage unit 301.

  The monitoring item information storage unit 301 holds monitoring items for each customer unit or for each monitoring target topology, and their reference values and actual measurement values.

  The actual measurement value is a value actually measured for the monitoring item. The actually measured value is stored in the monitoring item information storage unit 301 in association with the actually measured time information. For example, when a CPU operating rate of a certain server that does not have an actual measured value is newly added to the monitoring item, the characteristic is such as diverting an actual measured value of the CPU operating rate measured by another server. You may perform the operation | use which diverts the measured value of the other object judged to be near.

  The reference value is a value serving as a reference for classifying whether or not the monitoring item is in a problem state. A plurality of reference values may be set in order to monitor the problem level of the monitoring item in stages. For example, in the case of monitoring by classifying the degree of problem of the monitoring item into four stages such as “problem”, “warning”, “danger”, and “no problem”, three reference values S1, S2, and S3 may be set. . For example, the monitoring storage information storage unit 301 determines a reference value (for example, whether or not attention is required) for monitoring the degree of the problem step by step separately from the reference value S for determining whether there is a problem or not. A value for determining whether or not it is a warning or a warning). The data processing device 2 can determine the compliance status of the monitoring item by comparing the actual measurement value with the reference value.

  When the threshold value is used, the inclusion relation between the actually measured value and the specific range is determined to classify whether the monitoring item is in a problem state. In such a case, in order to specify the range, the upper and lower limits of the range are set as threshold values. In order to monitor the degree of the problem of the monitoring item in a stepwise manner, a plurality of threshold values may be set as in the case of the reference value. When the threshold value is set, the monitoring storage information storage unit 301 holds the threshold value. Note that the reference value and the threshold value may be set manually or in an SLA contract.

  FIG. 2 is an explanatory diagram illustrating an example of a data format held by the monitoring storage information storage unit 301. The “monitoring rule” shown in FIG. 2 is a classification pattern indicating what kind of relationship the measured value shows with the reference value (or threshold value) when the service performance is good. By comparing the actual measurement value and the reference value (or threshold value) according to each monitoring rule, it is possible to determine the compliance status of the monitoring item.

  In the monitoring rule “0”, if the measured value is smaller than the reference value S, it is assumed that the service performance is good. The smaller the actual measurement value is, the better the service performance is. In the monitoring rule “1”, if the actual measurement value is larger than the reference value S, the service performance is good. As the measured value is larger than the reference value S, the service performance is better. In the monitoring rule “2”, if the measured value is within the range surrounded by the two reference values S1, S2, the service performance is assumed to be good. The smaller the distance between the measured value and the midpoint of the reference values S1 and S2, the better the service performance. In the monitoring rule “3”, if the measured value is out of the range based on the two reference values S1 and S2, the service performance is good. The greater the distance between the measured value and the midpoint of the reference values S1 and S2, the better the service performance.

  In the “time stamp, measured value” shown in FIG. 2, the acquired measured value and its time stamp are shown in two sets. For example, in the data of the first line shown in FIG. 2, from the left, 03 seconds on March 03, 13:00:45, 0.8 seconds, March 03, 13:00:46, 1.0 seconds, 03 It represents that the actual measurement value of 1.5 seconds was acquired at 13:00:47 on March 03.

  The way of viewing the data shown in FIG. 2 will be described. Take the data in the first row as an example. The data in the first row relates to the service response time in the service P of the customer A. Since the reference value S is “3 seconds” and the monitoring rule is “0”, it can be determined that there is a problem in service performance when the actual measurement value is greater than 3 seconds.

  The data processing device 2 is a CPU that performs control according to a program, for example. The data processing device 2 includes a drawing scale determining unit 201, a center value changing unit 202, and a data drawing unit 203.

  First, the drawing scale determination unit 201 determines a numerical range to be drawn on the graph. The drawing scale determining unit 201 is configured to obtain all measured values (hereinafter, measured for analysis) other than the latest measured value of the latest time stamp of each monitoring item held by the monitored item information storage unit 301 (hereinafter, referred to as a measured value for drawing). And the reference value S, the upper and lower limits of the numerical value range that covers most of the actual measurement values for analysis related to the monitoring item and that is centered on the reference value S are calculated. The drawing scale determining unit 201 determines the numerical range specified by the calculated upper and lower limits as a “numeric range that can be drawn by the graph”.

  The actual measurement value for drawing is not necessarily the actual measurement value associated with the latest time stamp, and may be the actual measurement value associated with a predetermined time stamp, for example. Even in such a case, all of the actual measurement values other than the actual measurement value for drawing among the actual measurement values accumulated as the actual measurement value of the monitoring item by the monitoring item information storage unit 301 become the actual measurement value for analysis of each monitoring item. Become. For example, after the occurrence of a failure or event, using the default time stamp at the time of the occurrence of the failure or event as a clue, draw the actual measurement value associated with the time stamp of each monitoring item as the actual measurement value for drawing Thus, it is possible to confirm which monitoring item is abnormal at the time of occurrence of such a failure or event, and support post-mortem analysis.

  A process of determining a numerical range in which the drawing scale determining unit 201 can draw a graph when a certain reference value S is set will be described. Expression (1) is an example of an expression for calculating the upper and lower limits of a numerical range that can be drawn in a graph. However, in the expression (1), Max {y, z} represents a value that is not smaller between the real number y and the real number z.

  R = Max {| S- (a ± 2σ) |} (1)

  The drawing scale determining unit 201 calculates the average value a and the standard deviation σ of the actual measurement values for analysis related to the monitoring item, and reads a certain reference value S from the monitoring item information storage unit 301. The drawing scale determining unit 201 calculates R using the average value a, the standard deviation σ, and the reference value S in the equation (1). The drawing scale determination unit 201 determines a range indicated by (S−R) and (S + R) as upper and lower limits as a numerical range that can be drawn in a graph. It is guaranteed that there is about 95% of the actual measurement value for analysis in the numerical range that can be drawn by the graph determined by using the formula (1), and most of the actual measurement value for analysis related to the monitoring item is covered. .

  The drawing scale determining unit 201 may read the reference value S indicating the center of the numerical range that can be drawn from the graph from the monitoring item information storage unit 301 or may receive the reference value S from the center value changing unit 202. The process in which the center value changing unit 202 passes the new reference value S to the drawing scale determining unit 201 will be described later. When the reference value S read from the monitoring item information storage unit 301 conflicts with the new reference value S received from the center value changing unit 202, the time stamp registered as the reference value has priority over the new reference value. The When the time stamps are the same, the new reference value S received from the center value changing unit 202 is given priority.

  When the reference value S is not set, or when there are a plurality of reference values, the drawing scale determining unit 201 uses the average value a calculated from the actual measurement values for the monitoring item as the reference value S. , (1) is used to determine R. Then, the drawing scale determination unit 201 calculates (S−R) and (S + R) indicating the upper and lower limits of the numerical range in which the graph can be drawn.

  Next, the drawing scale determining means 201 obtains coordinates for specifying the drawing range of the bar graph and the coordinates of the actual measurement values for drawing so that the data interval is displayed wider as the data in the bar graph is closer to a certain point of interest. . Here, the point at which the data interval is displayed most widely within the numerical range in which the graph can be drawn is referred to as a focused point, and the value indicated by the focused point is referred to as a focused value. When the reference value S exists, the target value is the reference value S.

  A process in which the drawing scale determining unit 201 obtains the coordinates for specifying the drawing range of the bar graph and the coordinates of the drawing actual measurement values when a certain reference value S is set will be described. Expression (2) is an example of an expression for converting a numerical value into drawing coordinates in order to express a bar graph. The expression (2) represents D (x) as logarithmic scale coordinates when the reference value S is a target value with respect to the numerical value x. However, in the expression (2), when | x−S | = 0, it is assumed that (x−S) / | x−S | = 1.

  The drawing scale determining means 201 calculates logarithmic scale coordinates D (S−R) and D (S + R) of (S−R) and (S + R) using the equation (2). The drawing scale determining means 201 uses the calculated logarithmic scale coordinates D (S−R) and D (S + R) as coordinates for specifying the drawing range of the bar graph.

  Then, the drawing scale determination unit 201 refers to the actual measurement value T for the monitoring item as target data to be drawn on the graph from the actual measurement value held in the monitoring item information storage unit 301. The drawing scale determining unit 201 calculates x logarithmic scale coordinates D (T) of the actual measurement value T for drawing the bar graph with x = T in the equation (2). In addition to the actual measurement value T for drawing, if necessary, the caution value K and the warning value W for monitoring the degree of the problem in stages are also expressed in the logarithmic scale coordinates D (K) using the equation (2). And D (W).

  If a plurality of reference values S1, S2,..., Sn are set, or if a reference value S is not set and a plurality of threshold values Th1, Th2,. The drawing scale determination unit 201 selects the reference value S_a or the threshold value Th_a having the smallest distance from the actual drawing value as the target value. The selected S_a or Th_a is substituted for S in the equation (2). The drawing scale determination unit 201 converts other reference values, threshold values, and actual measured values for drawing into logarithmic scale coordinates using the equation (2) in which S_a or Th_a is substituted for S.

  The drawing scale determining means 201 draws data for coordinates D (S−R) and D (S + R) that specify the drawing range of the calculated bar graph, the logarithmic scale coordinates D (T) of the actual drawing value T, and the reference value S. Passed to means 203. When the caution value K, the warning value W, and the threshold value Th_n are set, the logarithmic scale coordinates D (K), D (W), D (Th_n), etc. of the respective reference values and threshold values are also data. It passes to the drawing means 203. Further, the drawing scale determining unit 201 passes the expression (2) ′ used to convert the monitoring item data into logarithmic scale coordinates to the central value changing unit 202. The expression (2) ′ is obtained by substituting predetermined numerical values for R and S in the expression (2).

  The center value changing unit 202 acquires designated coordinates on the graph indicating the monitoring items to be drawn by the data drawing unit 203 in response to a user operation on the input / output device 1, and the obtained coordinates are numerical values corresponding to the bar graph drawing coordinates. The data is converted into data and passed to the drawing scale determination unit 201 as a new reference value S. In the present embodiment, the data near the center value is enlarged and displayed with the reference value as the center value. The center value is the data value that becomes the center of the bar graph. The central value is directly specified by the user, for example, but the caution value, warning value, or the like or the average value registered in the monitoring item information storage unit 301 as a value for monitoring is presented to the user as an option to the user. You may make it select. In order to set the reference value as the center value, for example, x satisfying D (x) = S ′ may be set as the reference value S using the expression (2) ′ passed from the data drawing unit 201.

  The data drawing means 203 receives from the drawing scale determining means 201 and the monitoring item information storage unit 301 D (SR), D (S + R) indicating the upper and lower limits of the drawing range of the bar graph for each monitoring item, and the actual drawing value T for drawing. Referring to the logarithmic scale coordinates D (T) and the reference value S, a bar graph of each monitoring item is drawn, and an output signal is output to the input / output device 1. The input / output device 1 outputs a bar graph from the output means according to the output signal output.

  The data drawing unit 203 includes a bar graph drawing unit 211, an actual measurement value drawing unit 212, and a reference value / threshold drawing unit 213. The bar graph drawing unit 211, the actual value drawing unit 212, and the reference value / threshold drawing unit 213 share the bar graph drawing performed by the data drawing unit 203.

  The bar graph drawing unit 211 draws a bar graph having D (S−R) and D (S + R) as upper and lower limits of the drawing range. The measured value drawing means 212 draws D (T) as the measured value. At that time, the bar graph drawing unit 211 determines the compliance status based on the actual drawing value according to the classification indicated by the “monitoring rule” held in the monitoring item information storage unit 301, and uses a different color scheme according to the compliance status. Draw a bar graph. The reference value / threshold drawing means 213 draws the reference value S at the center of the bar graph. For example, when it is necessary to draw the threshold value as an aid for understanding the choice of the reference value or the graph, the caution value K or the warning value Draw on the logarithmic scale coordinates of W (for example, D (K) or D (W)). If the reference value S is not set, only the threshold value is drawn.

  FIG. 3 is a flowchart showing the operation of the data display system shown in FIG. With reference to FIG. 3, the operation of drawing data by the data display system shown in FIG. 1 will be described.

  At a timing when a new actual measurement value of a certain monitoring item is added to the monitoring item information storage unit 301 or a timing designated by the user, the drawing scale determination unit 201 analyzes the monitoring item from the monitoring item information storage unit 301. Actual measured value and reference value S are acquired (step A1).

  FIG. 4 is an explanatory diagram illustrating an example of an actual measurement value of service response time. The actual measured service response time value shown in FIG. 4 is held in the monitoring item information storage unit 301. For the sake of convenience, IDs from 01 to 20 are assigned to the measured values shown in FIG. Each actual measurement value is displayed with a tag for distinguishing between the actual measurement value for analysis and the actual measurement value for drawing. In the original monitoring item information storage unit 301, there are many cases where such a tag does not exist. In this case, classification is made into an actual measurement value for analysis and an actual measurement value for drawing based on the time stamp. Specifically, for example, an actual measurement value having the latest time stamp (maximum value ID) is used as an actual measurement value for drawing, and other actual measurement values are used as actual measurement values for analysis.

  The drawing scale determining means 201 receives the actual measurement value acquired in step A1, and determines the drawing range of the bar graph (the numerical range in which the graph can be drawn) using the equations (1) and (2) (step A2). A specific calculation will be described using an example of the data format shown in FIG. 2 and the actually measured values shown in FIG. The drawing scale determination unit 201 calculates the average value a and the standard deviation σ from the 19 actual measured values for analysis (ID: 01 to 19), and the service response time of the data format held in the monitoring item information storage unit 301. The reference value S is acquired with reference to the data. When the values illustrated in FIG. 4 are used, the average value a = 2.14, the standard deviation σ = 2.10, and S = 3.0. The drawing scale determination means 201 calculates the upper and lower limits of a numerical range that uses the reference value S as a central point and covers most of the actual measurement values for analysis, using equation (1). When the values illustrated in FIG. 4 are used, R = 5.1. As a result, S−R = −2.1, S + R = 8.1, that is, “average value a ± standard deviation σ × 2” is set to a numerical range in which most of the actually measured values exist, and the reference value S = The numerical range with 3.0 as the center point (the numerical range in which the graph can be drawn) is from -2.1 to 8.1.

  Next, the drawing scale determination unit 201 acquires the numerical value (T = 4) of the drawing target data of the monitoring item registered in the monitoring item information storage unit 301 (step A3). The drawing target data is the actual drawing value T for drawing, but additionally includes a caution value K, a warning value W, and the like for monitoring, and a threshold value, if necessary.

  Next, the drawing scale determining means 201 uses the numerical value (SR, S + R) indicating the upper and lower limits of the drawing range of the bar graph determined in the equation (2) and step A2, and the logarithmic scale for specifying the drawing range of the bar graph. Convert to coordinates. In this example, D (S−R) = − 2.3 and D (S + R) = 8.3. Further, the drawing scale determining means 201 converts the logarithmic scale coordinates for drawing the graph using the equation (2) and the numerical value (for example, T = 4) of the drawing target data acquired in step A3. In this example, D (T) = 5.4. The drawing scale determination unit 201 passes the logarithmic scale coordinates specifying the drawing range of the bar graph and the logarithmic scale coordinates of the drawing target data to the data drawing unit 203 (step A4). Further, the drawing scale determining unit 201 passes the information on the parameters S and R substituted into the equation (2) to the center value changing unit 201.

  The data drawing unit 203 refers to the drawing target data calculated by the drawing scale determining unit 201 in steps A2 and A4 and its logarithmic scale coordinates, and draws a graph on a logarithmic scale bar graph centered on the reference value S for the monitored item. The actual measurement value is drawn (step A5). FIG. 5 is an explanatory diagram showing a bar graph in which the actual measurement values shown in FIG. 4 are drawn. In FIG. 5, in order to clarify the relationship between the numerical value and the coordinate, the numerical value is written in the upper part of the graph and the coordinate is written in the lower part, but the original display may be only the numerical value.

  The bar graph drawing means 211 of the data drawing means 203 draws a bar graph area, scale, numerical values at both ends, and the like. The actual measurement value drawing unit 212 transparently displays the band up to the coordinates of the actual measurement value for drawing, and the data drawing unit 203 further displays the information of the “monitoring rule” and the reference value S held in the monitoring item information storage unit 301. Based on the reference value S, it is determined whether or not the actual drawing value T indicates a problem in service performance (the degree of service performance problem), and a bar graph with a color scheme or pattern according to the determination Express part or all of In the data display system of the first embodiment, the portion showing the actual measurement value for drawing in the bar graph is displayed in a pattern according to the degree of the problem of service performance. For example, if the problem level of service performance is “problematic”, it is displayed in a shaded pattern, if it is “dangerous”, it is displayed in a hatched pattern, and if it is “no problem”, it is displayed in a satin pattern. And In the bar graph shown in FIG. 5, since the numerical value (4.0) of the actual measurement value T exceeds the numerical value (3.0) of the reference value S, the service performance is “problematic”, and part of the bar graph Is displayed in a shaded pattern.

  FIG. 6 is an explanatory diagram showing an example of a bar graph drawn by the data drawing means. The bar graphs shown in FIGS. 6A to 6D are drawn under different monitoring rules.

  FIG. 6A is an example of a bar graph display when there is one set reference value S (default reference value S) and the monitoring rule is “0”. The reference value S becomes the center of the bar graph and becomes the target value. Therefore, the bar graph is displayed on a logarithmic scale centered on the reference value S. Further, from the monitoring rule “0”, an actual measurement value T larger than the reference value S is determined to have a problem in service performance, and a part of the bar graph is displayed in a shaded pattern.

  FIG. 6B is an example of a bar graph display when there are a plurality of set reference values and the monitoring rule is “1”. Since there are a plurality of reference values (S1 to S3), the average of the actual measurement values for analysis is the center of the bar graph, and the reference value S3 closest to the actual measurement value T is the target value. Therefore, the bar graph is displayed on a logarithmic scale centered on the reference value S3. Further, from the monitoring rule “1”, an actual measurement value T larger than the reference values S1 to S3 is determined to have no problem in service performance, and a part of the bar graph is displayed in a satin pattern. When the actual measurement value T is smaller than any reference value, a bar graph is displayed in a pattern corresponding to the degree of problem indicated by the reference value.

  FIG. 6C is an example of a bar graph display when the set reference value does not exist, a plurality of threshold values exist instead, and the monitoring rule is “2”. Since there are a plurality of threshold values (b1, b2 and c1, c2), the average value of the actual measurement values for analysis is the center of the graph, and the threshold value b2 closest to the actual measurement value T is the target value. Therefore, the bar graph is displayed on a logarithmic scale centered on the threshold value b2. Further, from the monitoring rule “2”, it is determined that the measured value T within the range between the threshold value b1 and the threshold value b2 has no problem in service performance, and a part of the bar graph is displayed in a satin pattern. When the actual measurement value T is between the threshold value b1 and the threshold value c1 or between the threshold value b2 and the threshold value c2, it is determined that the service performance is in a dangerous state, and a bar graph is displayed in a hatched pattern.

  FIG. 6D is a bar graph display example in the case where there is no set reference value, a plurality of threshold values are present instead, and the monitoring rule is “3”. Since there are a plurality of threshold values (b1, b2 and c1, c2), the average value of the actual measurement values for analysis is the center of the graph, and the threshold value b2 closest to the actual measurement value T is the target value. Therefore, the bar graph is displayed on a logarithmic scale centered on the threshold value b2. Further, from the monitoring rule “3”, the actual measurement value T within the range between the threshold value b1 and the threshold value b2 is determined to have a problem in service performance, and a part of the bar graph is displayed in a shaded pattern. When the actual measurement value T is between the threshold value b1 and the threshold value c1 or between the threshold value b2 and the threshold value c2, the service state is determined to be a dangerous state, and a bar graph is displayed with a diagonal pattern.

  When the user performs an operation to change the center of the bar graph after drawing the bar graph in step A5 (Y in step A6), the center value changing unit 202 uses the center specified by the user in the input / output device 1 to be changed. A center value coordinate S ′ which is a logarithmic scale coordinate indicating the value is acquired. Then, the center value changing unit 202 calculates the numerical value of the data corresponding to the center value coordinate S ′ using the expression (2) ′ acquired from the drawing scale determining unit 201 in step A4, and draws it as a new reference value S. It passes to the scale determination means 201 (step A7).

  When the new reference value S is transferred to the drawing scale unit 201 in step A7, the drawing scale determination unit 201 returns to step A2, updates the value of the reference value S, and draws the graph again. FIG. 7 is an explanatory diagram showing an example of a bar graph drawn by the data drawing means. The bar graph shown in FIG. 7 is a bar graph that is redrawn when the user changes the center of the bar graph from the reference value S to the critical value K that is a smaller value. In the data display system of the first embodiment, processing for redrawing the bar graph shown in FIG. 7 will be described. The central value changing unit 202 acquires the logarithmic scale coordinates of the critical value K required, and calculates the numerical value of the data corresponding to the logarithmic scale coordinates of the critical value K using equation (2) ′. The drawing scale determining means 201 redetermines the drawing range of the bar graph in step A2. In step A3 and step A4, the drawing scale determining means 201 calculates the logarithmic scale coordinates for specifying the drawing range of the bar graph and the logarithmic scale coordinates of the drawing target data. In step A5, the data drawing means 203 Redraw the bar graph shown in.

  In such a data display system, when the monitoring item data is displayed in a graph, the data range is estimated and drawn from the statistical value of the accumulated data of the monitoring item, so that many actual measurement values are drawn for each monitoring item. Can be displayed in a widely distributed manner, improving the visibility of data.

  In such a data display system, the threshold value closest to the actual measurement value for drawing is set as the target value among the threshold values set by the user, and the graph is displayed with logarithmic scale coordinates centered on the target value. Can be enlarged. Therefore, even when it is necessary to observe a minute movement of data near the threshold value in order to determine whether there is a problem with the monitoring item, the user can efficiently and accurately check the compliance status of the monitoring item.

Embodiment 2. FIG.
FIG. 8 is a block diagram showing the configuration of the second embodiment (embodiment 2) of the data display system according to the present invention. The data display system according to the second embodiment is characterized in that even if there is no problem in the current data, if a problem has occurred up to a certain point in the past, information such as the degree of the problem can be displayed at the same time. And With reference to FIG. 8, the structure of the data display system of the 2nd Embodiment of this invention is demonstrated.

  In the data display system shown in FIG. 8, past problem detection means 204 and past actual measurement value drawing means 214 are added to the configuration of the data display system shown in FIG. The past problem detection unit 204 is included in the data processing device 4, and the past actual measurement value drawing unit 214 is included in the data drawing unit 205.

  The past problem detection unit 204 refers to the actual drawing value T and the monitoring rule held by the monitoring item information storage unit 301, and the past specified time for the monitoring item determined to have no problem with the actual drawing value T. It is checked whether there is an actual measurement value determined to have a problem within Δt. If there is an actual measurement value determined to have a problem within the past specified time Δt, the drawing scale determination means uses the actual measurement value (worst value) of the actual measurement values as the past actual measurement value for drawing. Pass to 201. Note that the value of the time Δt can be set / changed by the user for each monitoring item, and is held in the monitoring item information storage unit 301. For example, in the monitoring item of online response time set in the monitoring rule “0”, the value of time Δt is set to “Δt = 1 minute”. At this time, the actual measurement value determined to have a problem from the monitoring rule “0” is an actual measurement value larger than the reference value S. The past problem detection means 204 detects the largest actual value larger than the reference value S as the past actual measured value for drawing from all the actual measured values traced back one minute before the latest time stamp. The past problem detection unit 204 passes to the drawing scale determination unit 201 the presence / absence of a past actual measurement value for drawing and the maximum value of the past actual measurement value when there is a drawing. The drawing scale determining unit 201 converts the past measured actual values for drawing detected by the past problem detecting unit 204 into logarithmic scale coordinates and passes them to the data drawing unit 203.

  In addition to the processing of the data drawing unit 204 of the first embodiment, the data drawing unit 205 uses the past actual measurement value drawing unit 214 to display logarithmic scale coordinates of the past actual measurement values for drawing acquired from the drawing scale determination unit 201 in the past. Drawing is performed as a graphic showing the difference between the position of the actual measurement value on the graph, that is, the degree of the problem, and the latest actual measurement value T (actual measurement value for drawing).

FIG. 9 is a flowchart showing the operation of the data display system shown in FIG. With reference to FIG. 9, the operation of the data display system shown in FIG. 8 for drawing data will be described.
Will be described with reference to FIG.

  The operations in steps A1 to A3 and A6 to A7 in FIG. 9 are operations in which the data display system of the first embodiment acquires the actual measurement value and the reference value, determines the drawing range, and acquires the drawing target data (FIG. 9). 3 and the operation of calculating a new reference value corresponding to the change operation of the center value from the user (corresponding to steps A6 to A7 in FIG. 3).

  In the data display system shown in FIG. 8, when the numerical value of the drawing target data of the monitoring item is acquired in step A3, the past problem detecting unit 204 checks whether or not a problem has occurred with respect to the actual drawing value (step B1). ).

  If no problem has occurred in step B1, the past problem detection means 204 refers to the monitoring item information storage unit 301 and relates to the monitoring item in which no problem has occurred with respect to the actual measurement value for drawing within the past specified time. It is checked whether or not a problem has occurred (step B2). If no problem has occurred in the past specified time in step B2, the drawing scale determination means 201 calculates the logarithmic scale coordinates of the actual measurement value for drawing, as in the operation in step A4 in FIG. B4). If a problem has occurred in the past specified time in step B2, the past problem detection unit 204 refers to the monitoring rule held by the monitoring item information storage unit 301 and uses the worst value as the past actual measured value for drawing. Detect (step B3). In step B4, the drawing scale determination unit 201 calculates logarithmic scale coordinates of the actual drawing value and the past past actual measurement value.

  If a problem has occurred in step B1, in step B4, the drawing scale determination means 201 calculates the logarithmic scale coordinates of the actual measurement value for drawing, as in the operation in step A4 in FIG.

  When the logarithmic scale coordinate of the actual measurement value for drawing is calculated in step B4, the actual measurement value drawing means 212 draws the actual measurement value for drawing on the bar graph, and the logarithmic scale coordinate of the past actual measurement value for drawing is calculated. The actually measured value drawing means 214 also draws the past measured values for drawing on the bar graph (step B5).

  FIG. 10 is an explanatory diagram showing an example of a bar graph drawn by the data display system shown in FIG. The past problem values shown in FIG. 10 are the past measured values for drawing, and are indicated by, for example, circular icons. In FIG. 10, an arrow from the past problem value to the actual measurement value T (drawing actual measurement value) is drawn. By drawing in this way, whether or not a problem has occurred within the past specified time Δt in the monitoring item, the degree of the problem, and a past actual measurement value (past problem value) where the problem has occurred are presently measured. An outline of the change of the data value to the value T can be clearly shown to the user.

  In such a data display system, when the actual measurement value of the monitoring item at a certain time point is displayed in a graph, if there is no problem at that time point, the data within the past specified time is investigated, and the past actual measurement in which the problem has occurred. Since the worst value of the value is displayed as the past problem value at the same time as the actual measurement value at a certain time, the user can confirm the compliance status of the monitoring item with a single graph such as a bar graph in the past in the monitoring item. It is possible to grasp the existence of the problem that has occurred and the degree of the problem.

  In the data display system of each embodiment, data is drawn as a bar graph as a one-dimensional graph, but may be drawn as another one-dimensional graph such as an instrument analog meter.

  FIG. 11 is a block diagram showing the main part of the data display system according to the present invention. As shown in FIG. 11, the data display system 10 is a data display system that collects the actual measured values of service monitoring items and displays a list for each service monitoring item, and includes storage means 11 (for example, monitoring item information shown in FIG. 1). The graph drawing range is set so that the measured value of the service monitoring item stored in the storage unit 301) includes a measured value of a predetermined ratio (for example, 95%) or more with respect to the total number of measured values of the service monitoring item. A drawing scale determining means 12 (for example, corresponding to the drawing scale determining means 201 shown in FIG. 1) and a drawing scale determining means 12 for determining the data distribution of the graph so as to be able to grasp the fluctuation of the measured value near a certain target value. A graph is created according to the graph drawing range and data distribution determined by, and the service monitoring item is actually measured on the created graph. Data drawing unit 13 (e.g., corresponding to data rendering unit 203 shown in FIG. 1) to draw is configured to and a.

In each of the above embodiments, data display systems as shown in the following (1) to (5) are also disclosed.

(1) When one reference value is set by the user, the drawing scale determining unit uses the reference value as a target value, and calculates an average value and a standard deviation of actual measured values for each service monitoring item stored in the storage unit. The data distribution of the graph of the service monitoring item is determined using a logarithmic function (for example, equivalent to equation (2)) that has a statistic including the coefficient and gives a logarithmic distribution centered on the value of interest (for example, step) (A1 to Step A4) The data display system.

(2) A data display system in which the data drawing means draws data for each service monitoring item on the one-dimensional graph according to the drawing range and data distribution of the graph determined by the drawing scale determining means.

(3) When an arbitrary coordinate on the graph is designated by the user, center value changing means for calculating a new value of interest based on the coordinates and the data distribution of the graph (for example, the center value changing means shown in FIG. 1) The data drawing means creates a graph according to the drawing range and data distribution of the graph determined by the drawing scale determining means according to the new target value calculated by the center value changing means, and the created graph A data display system that draws a new value of interest (for example, realized by the operations in steps A6 to A7 to A5).

(4) Past problem detection means for detecting a past actual measurement value when there is a problem within the past specified time when there is no problem in the service monitoring item with the latest actual measurement value (for example, the past problem shown in FIG. 8) The data drawing means creates a graph according to the drawing range and data distribution of the graph determined by the drawing scale determining means, and the latest measured value of the service monitoring item and the past A data display system that draws past measured values detected by the problem detection means (for example, realized by the operations in Step B1 to Step B5).

(5) The data drawing means is realized by a data display system that shows the difference and transition between the latest measured value and the past measured value using a predetermined figure in a graph (the data display system that draws the bar graph shown in FIG. 10). .)

  The present invention can be applied to confirm whether there is a problem in the service provided by the company in the operation service of the IT service provider or whether there is no violation of the service contract with the customer. In addition, when a problem occurs in the service, it can be applied to a purpose of grasping at a glance about the affected customer and the monitoring item and its degree, and supporting a quick determination of a coping method. In addition, the IT service receiver can be applied to grasp at a glance from all monitoring items whether the service provided to the company is operating without any problem.

DESCRIPTION OF SYMBOLS 1 Input / output device 2, 4 Data processing device 3 Storage device 10 Data display system 11 Storage means 12 Drawing scale determination means 13 Data drawing means 201 Drawing scale determination means 202 Center value change means 203, 205 Data drawing means 204 Past problem detection means 211 Bar graph drawing means 212 Actual measurement value drawing means 213 Reference value drawing means 214 Past actual measurement value drawing means 301 Monitor item information storage unit

Claims (13)

A data display system that collects actual measured values of service monitoring items and displays a list for each service monitoring item,
The drawing range of the graph is determined from the measured values of the service monitoring items stored in the storage means so as to include measured values of a predetermined ratio or more with respect to the total number of measured values of the service monitoring items, and one reference value is determined by the user. If it is set, the reference value is the target value, the coefficient includes a statistic including an average value and a standard deviation of the actual measurement values accumulated for the service monitoring items stored in the storage unit, and the target value is the center. A drawing scale determining means for determining a data distribution of the graph of the service monitoring item using a logarithmic function that gives a logarithmic distribution ;
Data comprising: a data drawing means for creating a graph according to the drawing range and data distribution of the graph determined by the drawing scale determining means, and drawing the actual measured value of the service monitoring item on the created graph Display system. Data drawing means, in accordance with the drawing range, and data distribution graph is determined by the drawing scale determining means, the data display system of claim 1 wherein the drawing data of each service monitored item in a one-dimensional graph. When arbitrary coordinates on the graph are designated by the user, the center value changing means for calculating a new focus value based on the coordinates and the data distribution of the graph,
The data drawing means creates a graph according to the drawing range and data distribution of the graph determined by the drawing scale determining means in accordance with the new focus value calculated by the central value changing means, and the new focus on the created graph. Draw values
The data display system according to claim 1 or 2 . When there is no problem in the service monitoring item with the latest actual measurement value, the past problem detection means for detecting the past actual measurement value when there was a problem within the past specified time,
The data drawing means creates a graph according to the drawing range and data distribution of the graph determined by the drawing scale determining means, and the latest measured value of the service monitoring item and the past problem detecting means are detected in the created graph. The data display system according to any one of claims 1 to 3, wherein a past actual measurement value is drawn. Data drawing means uses a predetermined graphic data Display system according to claim 4, wherein indicating the difference and changes in the latest measured values and the past measured values on a graph. A data display method that collects actual values of service monitoring items and displays a list for each service monitoring item,
The drawing range of the graph is determined from the accumulated measured values of the service monitoring items so that the measured values of a predetermined ratio or more with respect to the total number of measured values of the service monitoring items are included, and one reference value is set by the user. A logarithmic function that gives a logarithmic distribution centered on the target value, with the reference value as the target value, a coefficient including an average value and a standard deviation of the measured values for each accumulated service monitoring item. To determine the data distribution of the service monitoring item graph,
A data display method comprising: creating a graph according to the determined drawing range and data distribution of the graph, and drawing an actual measurement value of the service monitoring item on the created graph. The data display method according to claim 6 , wherein data for each service monitoring item is drawn on a one-dimensional graph shown on a bar graph or an analog meter of an instrument system according to the drawing range and data distribution of the graph. When arbitrary coordinates on the graph are designated by the user, a new attention value is calculated based on the coordinates and the data distribution of the graph,
The data according to claim 6 or 7 , wherein a graph is created according to a drawing range and a data distribution of the graph determined according to the calculated new focus value, and the new focus value is drawn on the created graph. Display method. If there is no problem in the service monitoring item with the latest measured value, the past measured value when there was a problem within the past specified time is detected,
It creates a graph in accordance with the drawing range, and data distribution graph, any one of claims 8 latest measured value of the service monitoring items and the past measured values claims 6 to draw the graph above prepared The data display method described in 1. Using a predetermined graphic data Display method according to claim 9, wherein indicating the difference and changes in the latest measured values and the past measured values on a graph. A computer equipped with a data display system that collects the actual measured values of service monitoring items and displays a list for each service monitoring item.
A process of determining a drawing range of the graph so that an actual measurement value of a predetermined ratio or more with respect to a total number of actual measurement values of the service monitoring item is included from the actual measurement value of the service monitoring item stored;
When one reference value is set by the user, the process using the reference value as a target value;
Data of the graph of the service monitoring item using a logarithmic function having a coefficient including a statistic including the average value and standard deviation of the actual measurement values for each accumulated service monitoring item and giving a logarithmic distribution centered on the target value Processing to determine the distribution;
A data display program for creating a graph according to the determined drawing range and data distribution of the determined graph, and executing a process of drawing an actual measurement value of the service monitoring item on the created graph. On the computer,
When arbitrary coordinates on the graph are designated by the user, a process of calculating a new focus value based on the coordinates and the data distribution of the graph;
A graph is created according to a drawing range and data distribution of a graph determined according to the calculated new focus value, and a process of drawing the new focus value on the created graph is executed. 1. A data display program according to 1. On the computer,
When there is no problem in the service monitoring item with the latest measured value, a process of detecting the past measured value when there was a problem within the past specified time,
Creates a graph in accordance with the drawing range, and data distribution graph claim 1 1 or claim for executing the processing for drawing the latest measured values and the past measured values of the service monitoring item graph the created 12. The data display program according to 12 .

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