CN110635939A - Service map drawing method and system - Google Patents
Service map drawing method and system Download PDFInfo
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- CN110635939A CN110635939A CN201910771965.3A CN201910771965A CN110635939A CN 110635939 A CN110635939 A CN 110635939A CN 201910771965 A CN201910771965 A CN 201910771965A CN 110635939 A CN110635939 A CN 110635939A
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- G—PHYSICS
- G06—COMPUTING; CALCULATING OR COUNTING
- G06F—ELECTRIC DIGITAL DATA PROCESSING
- G06F16/00—Information retrieval; Database structures therefor; File system structures therefor
- G06F16/90—Details of database functions independent of the retrieved data types
- G06F16/901—Indexing; Data structures therefor; Storage structures
- G06F16/9027—Trees
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- H—ELECTRICITY
- H04—ELECTRIC COMMUNICATION TECHNIQUE
- H04L—TRANSMISSION OF DIGITAL INFORMATION, e.g. TELEGRAPHIC COMMUNICATION
- H04L41/00—Arrangements for maintenance, administration or management of data switching networks, e.g. of packet switching networks
- H04L41/50—Network service management, e.g. ensuring proper service fulfilment according to agreements
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- H—ELECTRICITY
- H04—ELECTRIC COMMUNICATION TECHNIQUE
- H04L—TRANSMISSION OF DIGITAL INFORMATION, e.g. TELEGRAPHIC COMMUNICATION
- H04L43/00—Arrangements for monitoring or testing data switching networks
- H04L43/50—Testing arrangements
- H04L43/55—Testing of service level quality, e.g. simulating service usage
Abstract
The invention discloses a service map drawing method and a system, which belong to the technical field of computer networks and are used for realizing the following steps: collecting running state data of one or more sub-services to which a parent service belongs within a preset time interval; evaluating the weight value of each parent service and each child service, and setting the service block area of the corresponding service according to the weight value, wherein the service block area is positively correlated with the corresponding weight value; evaluating the health value of each father service and each son service, and setting the RGB value displayed by the service block of the corresponding service according to the health value; and according to the previously evaluated service weight value and health value, setting the area and RGB value of the area block corresponding to the parent service and the child service. The invention has the beneficial effects that: and visually representing the weight degree of each service, thereby representing the service degree concerned by the user, and visually knowing the number of configuration items related to each service and the importance degree and health degree of each service.
Description
Technical Field
The invention relates to the technical field of computer networks, in particular to a service map drawing method and system.
Background
The services are various services provided by the service organization for the served object, such as desktop services, mail services, storage services, etc., the service directory is to determine the range of the services provided by the service provider, to classify all the services provided by the service organization, and is in a tree structure, and each service directory may include a sub-service directory and sub-services.
How to visually represent the weight degree of each service through the service map so as to represent the service degree concerned by the user and visually know the number of configuration items related to each service and the importance degree and health degree of each service is a problem which needs to be considered by people in the field.
Disclosure of Invention
In order to solve at least one of the technical problems in the prior art, the present invention provides a service map drawing method and system, which automatically draw the shape and color of a service map according to the weight value and health status of a service association item obtained within a period of time, update the shape and color according to time, and visually represent the weight degree of each service, thereby representing the service degree concerned by a user, and visually knowing the number of configuration items related to each service and the importance degree and health degree of each service.
The first aspect of the technical scheme adopted by the invention to solve the problems is as follows: a service mapping method, characterized in that the method comprises the steps of: s1, collecting the operation condition data of one or more sub-services to which the parent service belongs within a preset time interval; s2, evaluating the weight value of each parent service and each child service, and setting the service block area of the corresponding service according to the weight value, wherein the service block area is positively correlated with the corresponding weight value; s3, evaluating the health value of each father service and each son service, and setting the RGB value displayed by the service block of the corresponding service according to the health value; s4, according to the service weight value and the health value which are evaluated in advance, setting of the area and the RGB value of the area block corresponding to the parent service and the child service is completed.
Has the advantages that: and visually representing the weight degree of each service, thereby representing the service degree concerned by the user, and visually knowing the number of configuration items related to each service and the importance degree and health degree of each service.
According to the first aspect of the present invention, the evaluating the weight values of the respective parent services and the child services comprises: evaluating the weight value of the corresponding service according to the weight of the fixed assets associated with each parent service and each child service; the weight value of the sub-service is the sum of the weight values of the associated configuration items; the weight value of the father service is the weight value of the father service, wherein the item with the largest weight value in the father service and the subordinate child service is taken as the weight value of the father service.
According to the first aspect of the present invention, the evaluating the weight values of the respective parent services and the child services comprises: acquiring the weight value of each configuration item and the weight value of a requester associated with the service; calculating the service score of each service according to a formula, wherein the calculation formula is as follows:
the service score is the sum of the weight values of the configuration items x the weight and the maximum value of the weight values of the requesters associated with the service x the weight
The weight and the weighted value of the configuration item and the requester can be customized, and the obtained service score is the weighted value of each service;
the weight value of the sub-service is the sum of the weight values of the associated configuration items;
the weight value of the father service is the weight value of the father service, wherein the item with the largest weight value in the father service and the subordinate child service is taken as the weight value of the father service.
According to the first aspect of the present invention, the evaluating the weight values of the respective parent services and the child services comprises: acquiring the weight value of a served mechanism associated with each service; calculating the weight value of each service according to a formula, wherein the calculation formula is as follows:
the weight value is the sum of the weight values of the associated served organizations
Wherein the weighted value of the served organization can be customized;
the weight value of the sub-service is the sum of the weight values of the associated configuration items;
the weight value of the father service is the weight value of the father service, wherein the item with the largest weight value in the father service and the subordinate child service is taken as the weight value of the father service.
According to the first aspect of the present invention, the evaluating the weight values of the respective parent services and the child services comprises: calculating the service cost of each service according to the following calculation formula:
cost of service-actual fixed asset + actual fixed operation cost
Wherein the actual fixed asset cost and the actual fixed operation cost are customizable;
the weighted value of the sub-service is the service cost;
the weight value of the parent service is the weight value of the parent service which is the item with the largest service cost in the parent service and the subordinate child service.
According to the first aspect of the invention, the health value includes, but is not limited to, one or more of the following indicators: the total service fault score, the service downtime probability, the service local interruption rate, the service SLA substandard rate, the service dissatisfaction, the service working hours, the accumulated cost of the existing requests and the value of the capacity health condition; the setting of the RGB values displayed by the service blocks of the corresponding service according to the health value specifically includes: r values in RGB are positively correlated with the health value, and G values are negatively correlated with the health value.
According to the first aspect of the present invention, the total service failure score is a ratio of a sum of failure scores of all failure requests of the sub-service to a service theoretical maximum failure score in the preset time interval, where the failure score is calculated according to the following formula:
the failure score is equal to the failure influence range grade multiplied by the failure influence range weight, the failure urgency grade multiplied by the failure urgency weight;
the service downtime rate is the ratio of the total duration of the fault requests with the largest weight of the fault influence range in the sub-services to the total duration of the preset time interval within the preset time interval;
the service local interruption rate is the ratio of the total duration of all fault requests after the fault requests with the maximum and minimum weight of the fault influence range are eliminated in the sub-service to the total duration of the preset time interval in the preset time interval;
the service SLA non-standard rate is the ratio of the requests which are not timely responded and completed by the sub-service to the requests which are completed and closed by the sub-service to be evaluated in the preset time interval;
the service dissatisfaction is the average value of all return visit evaluation dissatisfaction of the sub-service in the preset time interval; wherein the calculation formula of the return visit evaluation dissatisfaction degree is as follows:
dissatisfaction value ═ satisfaction value score-satisfaction score)/satisfaction value score full;
the service man-hour is the sum of the actual processing time of the progress and cost of the request associated with the sub-service;
the existing request cost accumulation is used for representing the cost of all requests under the service, wherein the calculation formula of the existing request cost accumulation is as follows:
the request cost of a sub-service is the sum of the request and cost of all requests under that sub-service
The request cost of the father service is the weighted value of the father service, wherein the request cost of the father service and the one of the famous child services with the largest request cost are the weighted values of the father service;
the capacity health value is a weighted maximum of the urgency of the demand reflecting the capacity abnormality associated with the sub-service.
According to the first aspect of the present invention, step S3 further includes: setting RGB values of corresponding service blocks according to the number of unresolved requests associated with the service, wherein the number of unresolved requests is positively correlated with the R value and negatively correlated with the G value; setting RGB values of corresponding service blocks according to the quantity of the unsolved problems associated with the service, wherein the quantity of the unsolved requests is positively correlated with the R value and negatively correlated with the G value; setting RGB values of corresponding service blocks according to the quantity of unresolved changes associated with the service, wherein the quantity of unresolved requests is positively correlated with the R value and negatively correlated with the G value; and setting the RGB value of the corresponding service block according to the quantity of the unsolved problems associated with the service, wherein the quantity of the unsolved requests is positively correlated with the R value and negatively correlated with the G value.
According to the first aspect of the present invention, setting the RGB values of the corresponding service blocks according to the number of outstanding requests associated with the service further comprises: setting RGB values of corresponding service blocks for the number of fault types according to the unresolved request types associated with the service, wherein the unresolved request number is positively correlated with the R value and negatively correlated with the G value; and setting the RGB value of the corresponding service block for the number of the requests except the requests which are responded on time and completed on time according to the unresolved request type associated with the service, wherein the unresolved request number is positively correlated with the R value and negatively correlated with the G value.
The second aspect of the technical scheme adopted by the invention to solve the problems is as follows: a service mapping system, comprising: the system comprises an acquisition module, a processing module and a processing module, wherein the acquisition module is used for acquiring the running state data of one or more sub-services to which a parent service belongs within a preset time interval; the weight evaluation module is used for evaluating the weight values of all the father services and the son services; the service state evaluation module is used for evaluating the health value of each father service and each son service; the drawing module is used for setting the service block area and the RGB value of the corresponding service according to the weight value and the health value; wherein the drawing module further comprises: the area setting unit is used for setting the area of a service block corresponding to the service according to the weight value, wherein the area of the service block is positively correlated with the corresponding weight value; and the RGB value setting unit is used for setting the RGB value displayed by the service block of the corresponding service according to the health value.
Has the advantages that: and visually representing the weight degree of each service, thereby representing the service degree concerned by the user, and visually knowing the number of configuration items related to each service and the importance degree and health degree of each service.
Drawings
FIG. 1 is a schematic flow diagram of a method according to a preferred embodiment of the present invention;
fig. 2 is a schematic diagram of a system architecture according to a preferred embodiment of the present invention.
Detailed Description
The conception, the specific structure and the technical effects of the present invention will be clearly and completely described in conjunction with the embodiments and the accompanying drawings to fully understand the objects, the schemes and the effects of the present invention.
It should be noted that, unless otherwise specified, when a feature is referred to as being "fixed" or "connected" to another feature, it may be directly fixed or connected to the other feature or indirectly fixed or connected to the other feature. Furthermore, the descriptions of upper, lower, left, right, etc. used in the present disclosure are only relative to the mutual positional relationship of the constituent parts of the present disclosure in the drawings. As used in this disclosure, the singular forms "a", "an", and "the" are intended to include the plural forms as well, unless the context clearly indicates otherwise. Furthermore, unless defined otherwise, all technical and scientific terms used herein have the same meaning as commonly understood by one of ordinary skill in the art. The terminology used in the description herein is for the purpose of describing particular embodiments only and is not intended to be limiting of the invention. As used herein, the term "and/or" includes any combination of one or more of the associated listed items.
It will be understood that, although the terms first, second, third, etc. may be used herein to describe various elements, these elements should not be limited by these terms. These terms are only used to distinguish one element of the same type from another. For example, a first element could be termed a second element, and, similarly, a second element could be termed a first element, without departing from the scope of the present disclosure. The use of any and all examples, or exemplary language ("e.g.," such as "or the like") provided herein, is intended merely to better illuminate embodiments of the invention and does not pose a limitation on the scope of the invention unless otherwise claimed.
To facilitate an understanding of the invention, the following terms are explained.
Parent service: determining the range of services which can be provided by a service provider, and classifying all services provided by a service organization, wherein each parent service may comprise a secondary parent service and a secondary child service;
sub-service/service: various services provided by the service organization for the served object, such as desktop service, mail service, storage service, cloud service, HR service and the like;
service request: a client makes a request related to a specific service to a service provider (for example, requests to create a VM and requests to allocate 500G of storage space);
configuration items are as follows: a plurality of configuration items are often managed under one service (for example, a plurality of configuration items such as servers, databases and applications may be managed under the ERP service);
a heat point diagram: the hot spot diagram is an analysis means for marking and presenting areas on the diagram or the page according to different attention degrees by using rectangles with different sizes and different colors;
service level agreement: the service provider negotiates with the customer the policies and commitments made as to what level the provided service will reach in order to ensure the quality of the provided service;
service directory path: such as virtualization services/HyperV services/VM services;
service map: the service map displays all service directories and services of a tree structure in a hot spot mode, highlights the hot spot service directories and services which are most concerned by users, can conveniently find managed objects (requests, configuration items and knowledge bases) under the corresponding services, divides a page into a plurality of rectangular areas, each rectangular area represents one service directory or service, each rectangle has two characteristics (size and color), the size of each rectangle can be determined by selecting different dimensional attributes of the service directories or services (such as service scores, configuration item quantity and request quantity), and the color of each rectangle can be determined by selecting different dimensional attributes of the service directories or services (such as health status, SLA standard reaching rate and the like).
Referring to fig. 1, there is a schematic flow chart of a method according to a preferred embodiment of the present invention,
s1, collecting the operation condition data of one or more sub-services to which the parent service belongs within a preset time interval;
s2, evaluating the weight value of each parent service and each child service, and setting the service block area of the corresponding service according to the weight value, wherein the service block area is positively correlated with the corresponding weight value;
s3, evaluating the health value of each father service and each son service, and setting the RGB value displayed by the service block of the corresponding service according to the health value;
s4, according to the service weight value and the health value which are evaluated in advance, setting of the area and the RGB value of the area block corresponding to the parent service and the child service is completed.
The service map is presented from two dimensions:
area of rectangle:
the size of the area of the rectangle depends on the importance and the degree of influence of the service itself. For example, the number and weight of configuration items related to a certain service;
CI weight;
CI weight, which reflects the importance of the service, wherein the importance of each service directory is mainly measured from the fixed asset weight, and according to the area size of a CI weight service block, the larger the display area is, the more important the service is reflected;
service composition and service directory settings can be associated with fixed assets, and CI weights for all services can be seen from the service map;
(1) the sub-service is counted from the service map, and each minimum service CI weight is the sum of the weights of the current service associated configuration items;
(2) parent service: counting from the service map that each parent service is the current parent service and the child service, and taking the maximum value of the CI weight;
2. a service score;
automatically calculating a service score, which is the sum of the weights of the configuration items, the weight, and the maximum of the weights of the requesters of the request for service association;
defaulting the value of the service score of the service map into a score automatically calculated by the system, using a manually set score if the system automatically calculates no data, and taking a default value of 1 if the system does not manually calculate the value;
3. the importance of the served entity;
mainly reflects the importance of the service relative to the served organization
Setting up service association serviced entity in service composition
Mechanism importance of service as a mechanism weight sum of service associations
The importance of the organization served by the service directory is the maximum value
4. A cost of service;
the area of the service map can automatically display the service map according to the cost of the service, wherein the service cost is the actual fixed asset cost plus the actual fixed operation cost;
the service cost reflects the importance of the service, the importance of each service directory is mainly measured from the fixed asset cost and the operation cost, corresponding to the system, the service is measured from the service total cost (the fixed asset cost and the operation cost) counted in a service instrument panel, the area size of a service block in the instrument panel is determined according to the total cost, and the more the display area is, the more the importance of the service is reflected;
when the service combination and the service directory setting business are divided into application services, the current situation of capacity can be better reflected by taking cost data as support;
detailed functions are as follows:
(1) the Application Service of the Application Service layer is the minimum granularity of the whole Service landing process, the Application Service is understood as a hierarchy, and all the requirements and services can be finally implemented to the hierarchy of the Application Service;
(2) one Application Service embodies the strategic type requirement and needs to go through a complete Service landing full flow; but the service landing process of the whole process can be only carried out by the requirement of strategy class;
(3) similar to the Service dividing method, the Demand is also divided into three levels of Business Demand, Application Demand and Technical Demand by default, and the field names in the data dictionary can be called as 'Demand level'. The full flow of the service landing can be carried out only by the Application service, so that the full flow of the service landing can be selected only by selecting the hierarchy of Application Demand when a 'request Application submission' form is filled in and the system is automatically controlled; if the service landing full flow is selected first, the requirement level is automatically bound as Application Demand and cannot be modified. The same whether Idea is present or not;
(4) other large service demands, such as Business Services, cannot go through a "demand landing full flow", only go through a short demand review flow, and then manually decompose into Application Services in the service design phase.
(5) The service design phase begins with the addition of two fields within the "finance" tab: actual fixed asset costs and actual operating costs; for manual decomposition of "application services" without going through the "full flow of demand landing", the customer enters these fields manually. The upward parent service requires summing of automatic exposure.
(6) Modification of the actual fixed asset cost and the actual operating cost requires addition of an entitlement control, which can only be modified, for example, by a service portfolio administrator and a service owner;
(7) when the service first-time service landing process is carried out, plan cost data set by the synchronous Demand is sent, the capacity of the service is increased or reduced to belong to New Demand, and the plan cost of the old service is not influenced;
(8) expansion or reduction of service capacity such New Demand only concerns how much the cost of the change is; the customer can decide according to the policy of the unit, and how much cost Demand needs to go through the auditing process. The Ahoova consultant will communicate clearly with the client.
(9) After a certain service is selected, the cost of the corresponding service is required to be displayed, regardless of the service of the application service or the service of the parent level; the cost value of the service of the parent level is the sum of the costs of the services of all the child levels; and (3) using a 'heap-up' algorithm for parent service summation in the service directory tree, finding out current service brother nodes for summation, transmitting to the current service parent, if the current service parent has a parent, summing brother nodes of the current service parent, transmitting upwards, and repeating the steps until the root node is reached.
(10) When the cost of the service of the application service is modified, the cost of the service of all its parents needs to be updated synchronously.
Second, color of rectangle:
the color gradient of the rectangle is from pure green to pure red, which shows that the health degree of each service is from highest to lowest, and the map color in the example is set by an RGB value and can also be set by a Lab color model;
1. unresolved requests;
the color of each service of the service map is gradually changed from pure green (G value) to pure red (R value) according to the number of associated unresolved requests, and the larger the associated data is, the more red the color is, namely the larger the R value is, the healthier the service is;
2. the failure is not resolved;
the color of each service of the service map is gradually changed from pure green to pure red according to the quantity of the requests of which the associated unresolved request types are fault types, and the larger the associated data is, the more red the color is, the healthier the service is;
3. the problem is not solved;
the color of each service of the service map is gradually changed from pure green to pure red according to the number of associated unsolved problems, and the larger the associated data is, the more red the color is, the healthier the service is;
4. changes are not resolved;
the color of each service of the service map is gradually changed from pure green to pure red according to the number of associated unsolved changes, and the larger the associated data is, the more red the color is, the healthier the service is;
5. request for not reaching the standard;
the color of each service of the service map is gradually changed from pure green to pure red according to the number of associated requests except for timely response and timely completion, and the larger the associated data is, the more red the color is, the healthier the service is;
6. responding to the request for timeout;
the color of each service of the service map is gradually changed from pure green to pure red according to the number of the associated overtime response requests, and the larger the associated data is, the more red the color is, the healthier the service is;
7. completing the request in overtime;
the color of each service of the service map is gradually changed from pure green to pure red according to the number of the associated overtime completion requests, and the larger the associated data is, the more red the color is, the healthier the service is;
the larger the data, the more red the color, representing the less healthy the service.
8. Service man-hour;
the sum of the actual processing times to service the progress and cost of the associated request;
the larger the total time, the more red the color, representing a less healthy service.
9. The cost of the actual existing request is accumulated;
mainly reflecting the cost of all requests under the service
Progress and cost of request correlation service directory addition request
Request cost of a service is the sum of the request and cost of all requests under the service
Request cost of service directory is maximum value
The larger the cost accumulation of the actual existing requests, the redder the color, the less healthy the service is represented.
10. A service failure score;
mainly reflects the severity of the fault of the relevant service; (statistics of the type of requests created on the day as failed requests)
The fault score of each fault per day, namely the influence range weight of the fault, y1+ the weight of the urgency of the fault, y 2; (y1 and y2 are weight coefficients for the extent of influence and urgency, which can be set by the user)
The failure score of each service is the sum of the failure scores of all failures under the service on the same day
The failure score of a service directory is determined by the maximum value of the failure scores of the services
The larger the service failure score, the more red the color, representing the less healthy the service.
11. Service SLA substandard rate;
mainly embodies the SLA condition of the related service; (statistics of all close requests on the day)
Per-day SLA achievement rate (total of all requests for closure for the service on the day-total of all requests for response and completed on time on day)/total of all requests for closure for the service on the day 100
Service SLA non-compliance rate-average per day service SLA compliance rate
The SLA substandard rate of the service directory is determined by the maximum SLA substandard rate of the service
The greater the service SLA non-compliance rate, the more red the color, the less healthy the service is.
12. A service downtime probability;
mainly embodies the fault persistence of the service affecting the whole company; (statistics of the fault request with the largest weight of the influence range of closing and not closing in the same day)
The downtime interval of each fault is from the creation time to the closing time; (if there is no start time, it starts at 0:00, if there is no end time, it ends at 24:: 00)
Taking the time length of each service downtime every day as the union set of all fault requests of the service every day, and calculating the time length
Service downtime rate is sum of service downtime duration per day/total duration 100
The service downtime rate of the service directory is determined by the maximum value of the downtime rate of the service;
the greater the service downtime, the more red the color, representing the healthier the service.
13. Service satisfaction;
the dissatisfaction degree of the service is mainly reflected; (statistics of all requests for return visit evaluation on the day)
Requested satisfaction of 100-star value 20
Satisfaction per service per day-average of all requested satisfaction under that service for the day
Service satisfaction, the average of satisfaction per service per day
The service satisfaction of the service catalog is determined by the average value of the satisfaction of the services
The larger the service satisfaction value, the more red the color, representing a less healthy service.
14. A service local outage rate;
mainly reflects the fault persistence of the service influencing local departments; (statistics of fault requests for closing and not closing influence scope weights (excluding maximum weight and minimum weight) on the same day)
The interruption interval of each fault is from the creation time to the closing time; (if there is no start time, it starts at 0:00, if there is no end time, it ends at 24:: 00)
Taking the interruption time of each service every day as the union set of all the service fault intervals on the same day, and calculating the time
Service outage rate-sum of service downtime per day/total duration 100
The service local interruption rate of the service directory is determined by the maximum value of the service local interruption rate;
the greater the local outage rate of service, the more red the color, representing the less healthy the service.
15. A health score;
a. service failure score ratio (w 1); mainly reflects the severity of the fault of the relevant service; (statistics of the type of requests created on the day as failed requests)
The fault score of each fault per day, namely the influence range weight of the fault, y1+ the weight of the urgency of the fault, y 2; (y1 and y2 are weight coefficients for the extent of influence and urgency, which can be set by the user)
The failure score of each service is the sum of the failure scores of all failures under the service on the same day
Service failure score proportion (w1) is the sum of service failure scores per day/maximum failure score served;
b. service SLA non-compliance rate (w 2); mainly embodies the SLA condition of the related service; (statistics of all close requests on the day)
SLA achievement rate per day-total of all requests for closure for that service on that day-total of all requests for closure and completed on time on that day)/total of all requests for closure for that service on that day
Service SLA non-compliance rate (w2) is the average of per-service SLA compliance rate per day
c. Probability of service downtime (w 3); mainly embodies the fault persistence of the service affecting the whole company; (statistics of the fault request with the largest weight of the influence range of closing and not closing in the same day)
The downtime interval of each fault is from the creation time to the closing time every day; (if there is no start time, it starts at 0:00, if there is no end time, it ends at 24:: 00)
Taking the time length of each service downtime every day as the union set of all fault requests of the service every day, and calculating the time length
Service downtime rate (w3) — sum of service downtime duration/total duration per day
d. Service satisfaction (w 4): the dissatisfaction degree of the service is mainly reflected; (statistics of all requests for return visit evaluation on the day)
Satisfaction per request 100-star value 20
Per service satisfaction per day-average of all requests for satisfaction under that service for the day/100
Service satisfaction (w4) is the average of each service satisfaction per day
e. Local outage rate of service (w 5): mainly reflects the fault persistence of the service influencing local departments; (statistics of fault requests for closing and not closing influence scope weights (excluding maximum weight and minimum weight) on the same day)
The interruption interval of each fault is from the creation time to the closing time; (if there is no start time, it starts at 0:00, if there is no end time, it ends at 24:: 00)
Taking the interruption time of each service as the union set of all the service fault intervals on the same day, and calculating the time
Service downtime (w3) is the sum of service interruption duration/total duration per day
X1, X2, X3, X4 and X5 are weight coefficients of each index, and the weight values can be set by a user;
default values are as follows: x1 ═ 0.2; x2 ═ 0.15; x3 ═ 0.25; x4 ═ 0.3; x5 ═ 0.1;
service health score w1 x1+ w2 x2+ w3 x3+ w4 x4+ w5 x5) 100;
the health score of the service directory is determined by the maximum value of the service health scores;
the greater the health score, the more red the color, representing the less healthy the service.
16. The health condition of productivity;
obtaining a capacity health status value through a weight maximum value of the urgency degree of the demand reflecting the capacity abnormal status associated with the service;
the greater the capacity health value, the more red the color, representing the less healthy the service.
Referring to fig. 2, there is shown a schematic diagram of a system architecture according to a preferred embodiment of the present invention,
the system comprises an acquisition module, a processing module and a processing module, wherein the acquisition module is used for acquiring the running state data of one or more sub-services to which a parent service belongs within a preset time interval;
the weight evaluation module is used for evaluating the weight values of all the father services and the son services;
the service state evaluation module is used for evaluating the health value of each father service and each son service;
the drawing module is used for setting the service block area and the RGB value of the corresponding service according to the weight value and the health value;
wherein the drawing module further comprises:
the area setting unit is used for setting the area of a service block corresponding to the service according to the weight value, wherein the area of the service block is positively correlated with the corresponding weight value;
and the RGB value setting unit is used for setting the RGB value displayed by the service block of the corresponding service according to the health value.
Further, the operations of processes described herein can be performed in any suitable order unless otherwise indicated herein or otherwise clearly contradicted by context. The processes described herein (or variations and/or combinations thereof) may be performed under the control of one or more computer systems configured with executable instructions, and may be implemented as code (e.g., executable instructions, one or more computer programs, or one or more applications) collectively executed on one or more processors, by hardware, or combinations thereof. The computer program includes a plurality of instructions executable by one or more processors.
Further, the method may be implemented in any type of computing platform operatively connected to a suitable interface, including but not limited to a personal computer, mini computer, mainframe, workstation, networked or distributed computing environment, separate or integrated computer platform, or in communication with a charged particle tool or other imaging device, and the like. Aspects of the invention may be embodied in machine-readable code stored on a non-transitory storage medium or device, whether removable or integrated into a computing platform, such as a hard disk, optically read and/or write storage medium, RAM, ROM, or the like, such that it may be read by a programmable computer, which when read by the storage medium or device, is operative to configure and operate the computer to perform the procedures described herein. Further, the machine-readable code, or portions thereof, may be transmitted over a wired or wireless network. The invention described herein includes these and other different types of non-transitory computer-readable storage media when such media include instructions or programs that implement the steps described above in conjunction with a microprocessor or other data processor. The invention also includes the computer itself when programmed according to the methods and techniques described herein.
A computer program can be applied to input data to perform the functions described herein to transform the input data to generate output data that is stored to non-volatile memory. The output information may also be applied to one or more output devices, such as a display. In a preferred embodiment of the invention, the transformed data represents physical and tangible objects, including particular visual depictions of physical and tangible objects produced on a display.
The above description is only a preferred embodiment of the present invention, and the present invention is not limited to the above embodiment, and any modifications, equivalent substitutions, improvements, etc. within the spirit and principle of the present invention should be included in the protection scope of the present invention as long as the technical effects of the present invention are achieved by the same means. The invention is capable of other modifications and variations in its technical solution and/or its implementation, within the scope of protection of the invention.
Claims (10)
1. A service mapping method, characterized in that the method comprises the steps of:
s1, collecting the operation condition data of one or more sub-services to which the parent service belongs within a preset time interval;
s2, evaluating the weight value of each parent service and each child service, and setting the service block area of the corresponding service according to the weight value, wherein the service block area is positively correlated with the corresponding weight value;
s3, evaluating the health value of each father service and each son service, and setting the RGB value displayed by the service block of the corresponding service according to the health value;
s4, according to the service weight value and the health value which are evaluated in advance, setting of the area and the RGB value of the area block corresponding to the parent service and the child service is completed.
2. The service mapping method of claim 1, wherein the evaluating the weight values of the respective parent and child services comprises:
evaluating the weight value of the corresponding service according to the weight of the fixed assets associated with each parent service and each child service;
the weight value of the sub-service is the sum of the weight values of the associated configuration items;
the weight value of the father service is the weight value of the father service, wherein the item with the largest weight value in the father service and the subordinate child service is taken as the weight value of the father service.
3. The service mapping method of claim 1, wherein the evaluating the weight values of the respective parent and child services comprises:
acquiring the weight value of each configuration item and the weight value of a requester associated with the service;
calculating the service score of each service according to a formula, wherein the calculation formula is as follows:
the service score is the sum of the weight values of the configuration items x the weight and the maximum value of the weight values of the requesters associated with the service x the weight
The weight and the weighted value of the configuration item and the requester can be customized, and the obtained service score is the weighted value of each service;
the weight value of the sub-service is the sum of the weight values of the associated configuration items;
the weight value of the father service is the weight value of the father service, wherein the item with the largest weight value in the father service and the subordinate child service is taken as the weight value of the father service.
4. The service mapping method of claim 1, wherein the evaluating the weight values of the respective parent and child services comprises:
acquiring the weight value of a served mechanism associated with each service;
calculating the weight value of each service according to a formula, wherein the calculation formula is as follows:
the weight value is the sum of the weight values of the associated served organizations
Wherein the weighted value of the served organization can be customized;
the weight value of the sub-service is the sum of the weight values of the associated configuration items;
the weight value of the father service is the weight value of the father service, wherein the item with the largest weight value in the father service and the subordinate child service is taken as the weight value of the father service.
5. The service mapping method of claim 1, wherein the evaluating the weight values of the respective parent and child services comprises:
calculating the service cost of each service according to the following calculation formula:
cost of service-actual fixed asset + actual fixed operation cost
Wherein the actual fixed asset cost and the actual fixed operation cost are customizable;
the weighted value of the sub-service is the service cost;
the weight value of the parent service is the weight value of the parent service which is the item with the largest service cost in the parent service and the subordinate child service.
6. The service mapping method of claim 1, wherein the health value includes, but is not limited to, one or more of the following indicators: the total service fault score, the service downtime probability, the service local interruption rate, the service SLA substandard rate, the service dissatisfaction, the service working hours, the accumulated cost of the existing requests and the value of the capacity health condition;
the setting of the RGB values displayed by the service blocks of the corresponding service according to the health value specifically includes:
r values in RGB are positively correlated with the health value, and G values are negatively correlated with the health value.
7. The service mapping method of claim 6,
the total service fault score is a ratio of the sum of fault scores of all fault requests of the sub-service in the preset time interval to a service theoretical highest fault score, wherein a fault score calculation formula is as follows:
the failure score is equal to the failure influence range grade multiplied by the failure influence range weight, the failure urgency grade multiplied by the failure urgency weight;
the service downtime rate is the ratio of the total duration of the fault requests with the largest weight of the fault influence range in the sub-services to the total duration of the preset time interval within the preset time interval;
the service local interruption rate is the ratio of the total duration of all fault requests after the fault requests with the maximum and minimum weight of the fault influence range are eliminated in the sub-service to the total duration of the preset time interval in the preset time interval;
the service SLA non-standard rate is the ratio of the requests which are not timely responded and completed by the sub-service to the requests which are completed and closed by the sub-service to be evaluated in the preset time interval;
the service dissatisfaction is the average value of all return visit evaluation dissatisfaction of the sub-service in the preset time interval; wherein the calculation formula of the return visit evaluation dissatisfaction degree is as follows:
dissatisfaction value ═ satisfaction value score-satisfaction score)/satisfaction value score full;
the service man-hour is the sum of the actual processing time of the progress and cost of the request associated with the sub-service;
the existing request cost accumulation is used for representing the cost of all requests under the service, wherein the calculation formula of the existing request cost accumulation is as follows:
the request cost of a sub-service is the sum of the request and cost of all requests under that sub-service
The request cost of the father service is the weighted value of the father service, wherein the request cost of the father service and the one of the famous child services with the largest request cost are the weighted values of the father service;
the capacity health value is a weighted maximum of the urgency of the demand reflecting the capacity abnormality associated with the sub-service.
8. The service mapping method according to claim 1, wherein the step S3 further includes:
setting RGB values of corresponding service blocks according to the number of unresolved requests associated with the service, wherein the number of unresolved requests is positively correlated with the R value and negatively correlated with the G value;
setting RGB values of corresponding service blocks according to the quantity of the unsolved problems associated with the service, wherein the quantity of the unsolved requests is positively correlated with the R value and negatively correlated with the G value;
setting the RGB value of the corresponding service block according to the number of the unresolved changes associated with the service, wherein the number of unresolved requests is positively correlated with the R value and negatively correlated with the G value.
9. The service mapping method of claim 8, wherein setting RGB values for corresponding service blocks according to the number of outstanding requests associated with the service further comprises:
setting RGB values of corresponding service blocks for the number of fault types according to the unresolved request types associated with the service, wherein the unresolved request number is positively correlated with the R value and negatively correlated with the G value;
setting RGB values of corresponding service blocks for the number of requests except for on-time response and on-time completion according to the unresolved request types associated with the services, wherein the unresolved request number is positively correlated with the R value and negatively correlated with the G value;
setting RGB values of corresponding service blocks for the number of the associated timeout response requests according to the unresolved request types associated with the service, wherein the unresolved request number is positively correlated with the R value and negatively correlated with the G value;
and setting the RGB values of the corresponding service blocks for the number of overtime completion requests according to the solved request types associated with the service, wherein the number of the unresolved requests is positively correlated with the R value and negatively correlated with the G value.
10. A service mapping system, comprising:
the system comprises an acquisition module, a processing module and a processing module, wherein the acquisition module is used for acquiring the running state data of one or more sub-services to which a parent service belongs within a preset time interval;
the weight evaluation module is used for evaluating the weight values of all the father services and the son services;
the service state evaluation module is used for evaluating the health value of each father service and each son service;
the drawing module is used for setting the service block area and the RGB value of the corresponding service according to the weight value and the health value;
wherein the drawing module further comprises:
the area setting unit is used for setting the area of a service block corresponding to the service according to the weight value, wherein the area of the service block is positively correlated with the corresponding weight value;
and the RGB value setting unit is used for setting the RGB value displayed by the service block of the corresponding service according to the health value.
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Application publication date: 20191231 |