CN114648228A - Method, device and equipment for evaluating service execution efficiency - Google Patents

Method, device and equipment for evaluating service execution efficiency Download PDF

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CN114648228A
CN114648228A CN202210297968.XA CN202210297968A CN114648228A CN 114648228 A CN114648228 A CN 114648228A CN 202210297968 A CN202210297968 A CN 202210297968A CN 114648228 A CN114648228 A CN 114648228A
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程相孟
乔喜铭
汪樟发
王洪江
赖彩林
姚斯宇
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Cloudwise Beijing Technology Co Ltd
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Abstract

The invention provides a method, a device and equipment for evaluating service execution efficiency, wherein the method comprises the following steps: acquiring a service log in a preset time period; obtaining at least one index of the service according to the service log; the indicator includes at least one of: a traffic path, a traffic activity; the service path is a service activity sequence formed by a plurality of service activities executed when any task is completed; acquiring an aging value of the at least one index, wherein the aging value is used for representing the execution efficiency of the service under the index; and evaluating the service execution efficiency according to the time-effective value of the at least one index. The scheme provided by the invention evaluates the execution efficiency of the service through the service index aging value, thereby adjusting and optimizing the execution efficiency of the service and further improving the comprehensive execution efficiency of the service.

Description

Method, device and equipment for evaluating service execution efficiency
Technical Field
The present invention relates to the field of process mining technologies, and in particular, to a method, an apparatus, and a device for evaluating service execution efficiency.
Background
With the continuous development of enterprises, the scale is gradually enlarged, wherein the execution efficiency of the business becomes a key factor for cost reduction and efficiency improvement of the enterprises and market competitiveness enhancement. Meanwhile, due to the acceleration of the modern enterprise digitization process, a large amount of service logs are generated in enterprise operation to record the actual service process of the enterprise.
With the continuous development of services, logs can be acquired across platforms, the types are various, the data volume is large, and the log volume can reach TB level. The existing service system network is composed of service nodes one by one, but the execution efficiency of the service nodes is not evaluated by a corresponding method, which greatly affects the working efficiency and the operation risk of a company.
Disclosure of Invention
The invention provides a method, a device and equipment for evaluating service execution efficiency, which are used for improving the time-effective value of a service index in the process of flow mining and further optimizing and adjusting the service execution efficiency.
To solve the foregoing technical problem, an embodiment of the present invention provides a method for evaluating service execution efficiency, including:
acquiring a service log in a preset time period;
according to the service log, obtaining a time efficiency value of at least one index of the service, wherein the time efficiency value is used for expressing the execution efficiency of the service under the index; the indicator includes at least one of: a traffic path, a traffic activity; the service path is a service activity sequence formed by a plurality of service activities executed when any task is completed;
and evaluating the service execution efficiency according to the time-effective value of the at least one index.
Optionally, obtaining an aging value of at least one index of the service according to the service log includes:
acquiring a first state distribution and a second state distribution of any target index in the at least one index;
acquiring a first difference value between actual distribution of the execution time of the target index and the first state distribution and a second difference value between the actual distribution and the second state distribution;
and obtaining the aging value of the target index according to the first difference value and the second difference value.
Optionally, the first state distribution is: in the target index, the distribution of the execution time of each case under the state that the actual execution time of each case is equal;
the second state distribution is: in the actual execution time of the target index, the execution time of n-1 cases is as follows: a distribution of execution times in a state where the execution time of one case is n x T is equal to 0 or greater than 0 within a preset range; wherein, T is the average execution time of all cases under the target index, and n is a positive integer.
Optionally, obtaining an aging value of the target indicator according to the first difference value and the second difference value includes:
according to the formula
Figure DEST_PATH_IMAGE001
Obtaining the aging value of the target index,
wherein i =1, 2, …, m, a number indicating each target index,
Figure 962887DEST_PATH_IMAGE002
the first difference value is a value of the first difference,
Figure DEST_PATH_IMAGE003
is a second difference value, TEiIs the aging value of the target index.
Optionally, according to a formula
Figure 397804DEST_PATH_IMAGE004
Obtaining the first difference value;
wherein i =1, 2, …, m, a number indicating each target index,
Figure DEST_PATH_IMAGE005
for the execution time of the target index i in the first state,
Figure 98913DEST_PATH_IMAGE006
is the j-th actual execution time of the target index i, and k is the execution times of the i-th target index.
Optionally, according to a formula
Figure DEST_PATH_IMAGE007
Obtaining the second difference value;
wherein i =1, 2, …, m, a number indicating each target index,
Figure 927410DEST_PATH_IMAGE008
for the execution time of the target index i in the second state,
Figure 289253DEST_PATH_IMAGE006
is the j-th actual execution time of the target index i, and k is the execution times of the i-th target index.
Optionally, the method for evaluating service execution efficiency further includes:
according to the formula TEGeneral assembly=w1*TE1+w2*TE2+...+wi*TEi+...+wm*TEmAcquiring a total time-effective value of the target index;
wherein TEGeneral assemblyA total time-efficient value representing the target index;
TE1representing an age value of the first target indicator;
TE2an age value representing a second target indicator;
TEirepresenting the aging value of the ith target index;
TEman aging value representing the mth target index;
w1representing the ratio of the number of all cases under the first target index to the total number of times of executing the cases;
w2representing the ratio of the number of all cases under the second target index to the total number of times of executing the cases;
wiexpressing the ratio of the number of all cases under the ith target index to the total number of times of executing the cases;
wmrepresents the ratio of the number of all cases to the total number of times the case is executed under the mth target index.
An embodiment of the present invention further provides an apparatus for evaluating service execution efficiency, where the apparatus includes:
the acquisition module is used for acquiring a service log in a preset time period;
the processing module is used for obtaining an aging value of at least one index of the service according to the service log, wherein the aging value is used for expressing the execution efficiency of the service under the index; the indicator includes at least one of: a traffic path, a traffic activity; the service path is a service activity sequence formed by a plurality of service activities executed when any task is completed; and evaluating the service execution efficiency according to the time-effective value of the at least one index.
Embodiments of the present invention also provide a computing device, comprising: the system comprises a processor, a memory, a communication interface and a communication bus, wherein the processor, the memory and the communication interface complete mutual communication through the communication bus;
the memory is used for storing at least one executable instruction, and the executable instruction enables the processor to execute the corresponding operation of the method.
Embodiments of the present invention also provide a computer-readable storage medium storing instructions that, when executed on a computer, cause the computer to perform the above-described method.
The scheme of the invention at least comprises the following beneficial effects:
according to the scheme, the service log in a preset time period is obtained; according to the service log, obtaining an aging value of at least one index of a service, wherein the aging value is used for expressing the execution efficiency of the service under the index; the indicator includes at least one of: a traffic path, a traffic activity; the service path is a service activity sequence formed by a plurality of service activities executed when any task is completed; evaluating the service execution efficiency according to the time-effective value of the at least one index; by acquiring the aging values of different service indexes in the service log and evaluating the service execution efficiency according to the aging values, the obtained evaluation result can be used as an important reference for a manager to optimize and adjust the service execution efficiency, and the method helps enterprises and the like to improve the comprehensive execution efficiency of services.
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Fig. 1 is a schematic flow chart of a method for evaluating service execution efficiency according to an embodiment of the present invention;
fig. 2 is a schematic specific flowchart of a method for evaluating service execution efficiency according to an embodiment of the present invention;
fig. 3 is a schematic diagram illustrating a change in an aging value of a service path according to an embodiment of the present invention;
fig. 4 is a schematic diagram illustrating changes in aging values of business activities according to an embodiment of the present invention;
fig. 5 is a schematic block diagram of an apparatus for evaluating service execution efficiency according to an embodiment of the present invention.
Detailed Description
Exemplary embodiments of the present invention will be described in more detail below with reference to the accompanying drawings. While exemplary embodiments of the invention are shown in the drawings, it should be understood that the invention can be embodied in various forms and should not be limited to the embodiments set forth herein. Rather, these embodiments are provided so that this disclosure will be thorough and complete, and will fully convey the scope of the invention to those skilled in the art.
As shown in fig. 1, an embodiment of the present invention provides a method for evaluating service execution efficiency, where the method includes:
step 11, acquiring a service log in a preset time period;
step 12, obtaining a time efficiency value of at least one index of the service according to the service log, wherein the time efficiency value is used for representing the execution efficiency of the service under the index; the indicator includes at least one of: a traffic path, a traffic activity; the service path is a service activity sequence formed by a plurality of service activities executed when any task is completed;
and step 13, evaluating the service execution efficiency according to the time-effective value of the at least one index.
In this embodiment, the service log is data automatically stored by the system during service execution or processing, and the volume of the service log may be large or small, and more is TB, and less is MB; the service log in the preset time period may include: the method comprises the following steps that various different types of services, various different service indexes corresponding to each service in various different types of services, the number of each service index, the execution time of each service index and the execution times of each service index are obtained;
the business indicators include, but are not limited to: business activity, business path; the service path refers to a sequence of service activities that are executed in sequence according to a set flow rule to complete a certain task, and may also be referred to as trace;
the actually occurring instance executed along the path is called a case, and can also be called case service path execution once to obtain a case, and the case is executed for multiple times to obtain multiple cases;
based on the execution time of each service in the service log, the time-efficient values of different services under corresponding service indexes in any time period can be calculated, and the time-efficient values are used for expressing the execution efficiency of the services under the corresponding service indexes;
in the process of mining the business process, the evaluation on the execution efficiency of any specific business can be realized according to the aging value of the index, the evaluation on the execution efficiency of all the businesses in any time period can be realized, and the obtained final evaluation result can be used as a reference basis for the optimization and adjustment of the business execution efficiency by a manager; meanwhile, the method is simple and easy to operate, the calculation mode is simple, the time-effective value of the service under the corresponding index can be obtained in a short time, and the time-effective value can be used as a functional module to be rapidly deployed in the process mining software;
it should be noted that the execution efficiency of a service may be evaluated by the aging value of one index of the service, or may be evaluated separately according to aging values of multiple different indexes; in this embodiment, the service activity and the service path may be used as the indexes of the service, and the execution efficiency of the service may be evaluated.
In an optional embodiment of the present invention, the step 12 may include:
step 121, obtaining a first state distribution and a second state distribution of any target index in the at least one index;
step 122, obtaining a first difference value between the actual distribution of the execution time of the target index and the first state distribution, and a second difference value between the actual distribution and the second state distribution;
and 123, obtaining an aging value of the target index according to the first difference value and the second difference value.
In this embodiment, the first state distribution indicates the distribution of the execution time of the service in the first state under the target index, and the first state refers to a state where the execution times of the target indexes are equal, and may also be referred to as an ideal state;
the second state distribution represents the execution time distribution of the service in the second state under the target indexes, the second state refers to a state when the actual execution time of any one target index is equal to the sum of the execution times of all target indexes, and the execution times of the rest target indexes are close to 0, and can also be called as an extreme state;
mapping the difference between the actual execution time distribution of the target index and the execution time distribution of the target index in two different states by acquiring the difference degree between the actual execution time distribution of the target index of the service and the execution time distribution of the target index in the first state, namely a first difference value, and the difference degree between the actual execution time distribution of the target index of the service and the execution time distribution of the target index in the second state, namely a second difference value;
furthermore, according to the first difference value and the second difference value, the time efficiency value of the target index is obtained and used as the basis for evaluating the business execution efficiency, and the pressure for evaluating the business execution time efficiency of the company can be effectively reduced.
In an optional embodiment of the present invention, a first state distribution and a second state distribution are described, where the first state distribution is: the execution time distribution of each case in the target index is in a state that the actual execution times of the cases are equal; the second state distribution is: in the actual execution time of the target index, the execution time of n-1 cases is as follows: an execution time distribution in a state where an execution time of one case is n × T is within a preset range equal to or greater than 0; wherein, T is the average execution time of all cases under the target index, and n is a positive integer.
In this embodiment, the first state distribution may represent an execution time distribution of the service in an ideal state, and the second state distribution may represent an execution time distribution of the service in an extreme state; when the target index is a business activity, the case refers to a process in which each business activity actually occurs, and when the target index is a business path, the case refers to a case included in each business path;
when the target index is a business activity, the first state is a most concentrated state when the actual execution time of any business activity is equal to the average execution time, the corresponding first score value in the state is a most concentrated time effective value, and the value can be 100 at the moment, namely the time effective value in the first state; the second state refers to any one of n business activities, and the execution time distribution is as follows: the time consumption of n-1 business activities is very close to 0, the time consumption of only one business activity is in the most dispersed state when n x T, the second credit value in the state can be corresponding to the most dispersed state, and the value can be 0 at the moment, namely the time-effective value in the second state;
when the target index is a service path: the first state is a most centralized state when the actual execution time of all case cases belonging to any service path is equal to the average execution time, and a first score value in the state can be a most centralized time-efficient value, and the value can be 100 at this time, that is, the time-efficient value in the first state; the second state is for n case cases belonging to any kind of traffic flow path, and the distribution of the execution time is as follows: the time consumption of the n-1 case cases is very close to 0, and only one case is in the most dispersed state when the time consumption is n × T, and in this state, the second score value may be the most dispersed effective value, and the value may be 0, that is, the time effective value in the second state.
In an optional embodiment of the present invention, the step 123 may include:
step 1231, according to the formula
Figure 16775DEST_PATH_IMAGE001
Obtaining an aging value of the target index, wherein i =1, 2, …, m, denotes a serial number of each target index,
Figure 814967DEST_PATH_IMAGE002
the first difference value is a value of the first difference,
Figure 685971DEST_PATH_IMAGE003
is a second difference value, TEiIs the aging value of the target index.
In this embodiment, the first difference value may represent a difference degree between an actual execution time of the target indicator and an execution time of the target indicator in the first state; the second difference value may represent a difference degree between an actual execution time of the target indicator and an execution time of the target indicator in the second state; the method comprises the steps of obtaining a first difference value and a second difference value respectively by counting actual execution time distribution of a target index and execution time distribution under two limit states, obtaining an aging value of the target index according to the first difference value and the second difference value, preliminarily reflecting execution efficiency of a service under corresponding indexes through the aging value, and further adjusting execution time of the service according to the execution efficiency; the data source is simple in the whole statistical and data processing process, the data processing mode is simple, compared with the existing scheme, the difficulty of data processing is reduced, and meanwhile the efficiency of data processing is improved.
Further, it can be according to the formula
Figure 138205DEST_PATH_IMAGE004
Obtaining the first difference value; wherein i =1, 2, …, m, a number indicating each target index,
Figure 928307DEST_PATH_IMAGE005
for the execution time of the target index i in the first state,
Figure 89161DEST_PATH_IMAGE006
is the j-th actual execution time of the target index i, and k is the execution times of the i-th target index.
In this embodiment, when the target indicator is a business activity,
Figure 872178DEST_PATH_IMAGE005
the average execution time of the business activity i in the first state, i.e. the average execution time of the business activity i,
Figure 802088DEST_PATH_IMAGE006
the j is the j actual execution time of the business activity i, and k is the execution times of the i business activity; when the target indicator is a traffic path,
Figure 763090DEST_PATH_IMAGE005
the average execution time of the traffic path i is the execution time of the traffic path i in the first state,
Figure 71229DEST_PATH_IMAGE006
the actual execution time of the jth instance of the service path i is shown, and k is the execution times of the ith target index; and acquiring the first difference value according to the actual execution time of the service index and the execution time in the first state, and intuitively displaying the difference between the actual execution time distribution of the target index and the execution time distribution in the first state through the first difference value.
Further, it can be according to the formula
Figure DEST_PATH_IMAGE009
Obtaining the second difference value; wherein i =1, 2, …, m, a number indicating each target index,
Figure 549615DEST_PATH_IMAGE008
for the execution time of the target index i in the second state,
Figure 239091DEST_PATH_IMAGE006
is the j-th actual execution time of the target index i, and k is the execution times of the i-th target index.
In this embodiment, when the target indicator is a business activity,
Figure 980782DEST_PATH_IMAGE008
the average execution time of the business activity i in the first state, i.e. the average execution time of the business activity i,
Figure 506441DEST_PATH_IMAGE006
the j actual execution time of the service activity i is obtained, and k is the execution times of the i service activity; when the target indicator is a traffic path,
Figure 634191DEST_PATH_IMAGE008
the average execution time of the service path i in the second state, i.e. the average execution time of the service path i,
Figure 804272DEST_PATH_IMAGE006
the actual execution time of the jth instance of the service path i is shown, and k is the execution times of the ith service path; and obtaining the second difference value according to the actual execution time of the service index and the execution time in the first state, and intuitively displaying the difference between the actual execution time distribution of the target index and the execution time distribution in the second state through the second difference value.
In an optional embodiment of the present invention, based on the steps 121-123, further comprising,
step 124, according to the formula TEGeneral assembly=w1*TE1+w2*TE2+...+wi*TEi+...+wm*TEmAcquiring a total time-effective value of the target index;
wherein TEGeneral assemblyA total time-efficient value representing the target index;
TE1an age value representing a first target index;
TE2an aging value representing a second target index;
TEirepresenting the aging value of the ith target index;
TEman aging value representing the mth target index;
w1representing the ratio of the number of all cases under the first target index to the total number of times of executing the cases;
w2representing the ratio of the number of all cases under the second target index to the total number of times of executing the cases;
wiexpressing the ratio of the number of all cases to the total number of times of executing the cases under the ith target index;
wmthe ratio of the number of all cases to the total number of times of executing the cases under the mth target index is shown.
In the embodiment, by calculating the total time-effective value of the target index, the execution efficiency and the operation risk condition of the service under different service indexes can be intuitively reflected, and the execution time of the service is adjusted to optimize and improve the execution efficiency of the service, so that enterprises and the like are further helped to improve the comprehensive execution efficiency of the service;
when the target index is business activity, TE1Time-effective value, TE, representing a first type of business activity2Time-effective value, TE, representing a second type of business activityiTotal time-efficient value, w, representing i business activitiesiRepresenting the ratio of the number of all activities per business activity to the total number of times all activities are performed;
when the target index is a service path, TE1Indicating the age value, TE, of the first traffic path2Indicating the age value, TE, of the second traffic pathiRepresenting the total time-efficient value, w, of the i traffic pathsiExpressing the ratio of all case quantity to the total case quantity i under each business flow path;
it should be noted that the execution efficiency of the service may be evaluated by the aging value of one service index, or may be evaluated by the aging values of a plurality of different service indexes.
As shown in fig. 2, the implementation process of the method when the service index is a service path and a service activity is specifically as follows:
step 21, obtaining a historical service log, and selecting different service indexes: business activities and business paths;
step 22, respectively counting the execution time of different service indexes based on the different service indexes; when the service index is a service path, counting the execution time of each case; when the business index is a business activity, counting the execution time of each business activity;
step 23, respectively calculating the execution time of each service path in two limit states according to the execution time of each case; according to the execution time of each business activity; respectively calculating the execution time of each business activity in two limit states;
step 24, calculating the time effective value of each service path and service activity according to the actual execution time of each service path and service activity and the execution time under the two limit states;
step 25, when the service index is a service path, counting the number N1 of cases included in each service path; when the business index is the business activity, counting the number of activities N2 included in each business activity;
step 26, calculating the weight of each service path according to the number of cases N1; calculating the weight of each business activity according to the number N2 of the business activities;
step 27, calculating the total time-effective value of all the service paths in a time period according to the weight of the service paths; and calculating the total time effective value of all the business activities in a time period according to the weight of the business activities.
In a specific implementation example: the business activity of a company is recorded in a company log, as shown in the following table:
Figure 372657DEST_PATH_IMAGE010
firstly, calculating a service path time effective value: based on the analysis of the service log table as shown in the above table, case _ id is unique, and the service path is executed once to obtain one case.
Firstly, counting the consumed time of different cases and the case frequency of each service path in the log, then counting the distribution of the consumed time, and finally calculating the time effective values of different service flow paths and the total time effective value of the paths in the time range by an aging formula.
As shown in fig. 3, the time-dependent variable graph of the service path is distributed according to a time sequence, and the time-dependent variable value calculated according to the above method by counting the execution time of the service path can visually reflect the execution efficiency of the service when the service path is used as an index, and further adjust and optimize the execution time of the service.
II, evaluating the effective value of the business activity: based on the analysis of the service log table as shown in the above table, it can be seen that the service activity is a basic unit constituting the service log.
Firstly, the time consumption of different business activities and the execution frequency of each activity in the log are counted, then the distribution of the time consumption is counted, and finally the time effective values of the different business activities and the total time effective value of all the activities in the time range are calculated through an activity time effective formula.
For example, fig. 4 is a time-varying graph of service activities distributed according to a time sequence, and the time-varying value calculated according to the above method by counting the execution time of the service activities can visually reflect the execution efficiency of the service when the service activities are used as the index, and further adjust and optimize the execution time of the service.
Obtaining an aging value of a service index according to data in a historical service log, evaluating service execution efficiency according to the aging value, and further optimizing or adjusting service execution time according to an evaluation result; the service log generally comprises service activities and service paths, the condition that the service log cannot run due to data loss is avoided, the data is processed according to historical service log data, the data dimension is single, the processing and calculating methods are simple and easy to implement, and the evaluation pressure of the service execution time efficiency of a company can be effectively reduced; meanwhile, when the method is deployed in process mining software as a functional module, service execution efficiency is evaluated based on historical service logs, and further, service execution time is adjusted according to an evaluation result, so that service execution efficiency is improved in a corresponding application scene.
As shown in fig. 5, an embodiment of the present invention further provides an apparatus 50 for evaluating service execution efficiency, where the apparatus 50 includes:
the acquiring module 51 is configured to acquire a service log within a preset time period;
a processing module 52, configured to obtain an aging value of at least one index of a service according to the service log, where the aging value is used to indicate execution efficiency of the service under the index; the indicator comprises at least one of: a traffic path, a traffic activity; the service path is a service activity sequence formed by a plurality of service activities executed when any task is completed; and evaluating the service execution efficiency according to the time-effective value of the at least one index.
Optionally, the processing module 52 is configured to obtain an aging value of at least one index of the service according to the service log, and includes:
acquiring a first state distribution and a second state distribution of any target index in the at least one index;
acquiring a first difference value between the actual distribution of the execution time of the target index and the first state distribution and a second difference value between the actual distribution and the second state distribution;
and obtaining the aging value of the target index according to the first difference value and the second difference value.
Optionally, the first state distribution is: the execution time distribution of each case in the target index is in a state that the actual execution times of the cases are equal;
the second state distribution is: in the actual execution time of the target index, the execution time of n-1 cases is as follows: an execution time distribution in a state where an execution time of one case is n × T is within a preset range equal to or greater than 0; wherein, T is the average execution time of all cases under the target index, and n is a positive integer.
Optionally, the processing module 52 is configured to obtain an aging value of the target indicator according to the first difference value and the second difference value, and includes:
according to the formula
Figure 369300DEST_PATH_IMAGE001
Obtaining the aging value of the target index,
wherein i =1, 2, …, m, a number indicating each target index,
Figure 658330DEST_PATH_IMAGE002
the first difference value is a value of the first difference,
Figure 807552DEST_PATH_IMAGE003
is a second difference value, TEiIs the aging value of the target index.
Optionally, according to a formula
Figure 793176DEST_PATH_IMAGE004
Obtaining the first difference value;
wherein i =1, 2, …, m, a number indicating each target index,
Figure 27848DEST_PATH_IMAGE005
for the execution time of the target index i in the first state,
Figure 120569DEST_PATH_IMAGE006
is the j-th actual execution time of the target index i, and k is the execution times of the i-th target index.
Optionally, according to a formula
Figure 373565DEST_PATH_IMAGE007
Obtaining the second difference value;
wherein i =1, 2, …, m, a number indicating each target index,
Figure 283752DEST_PATH_IMAGE008
for the execution time of the target index i in the second state,
Figure 881086DEST_PATH_IMAGE006
is the j-th actual execution time of the target index i, and k is the execution times of the i-th target index.
Optionally, the processing module 52 is further configured to:
TEgeneral assembly=w1*TE1+w2*TE2+...+wi*TEi+...+wm*TEmAcquiring a total time effective value of the target index;
wherein TEGeneral assemblyA total time-efficient value representing the target index;
TE1an age value representing a first target index;
TE2an aging value representing a second target index;
TEirepresenting the aging value of the ith target index;
TEman aging value representing the mth target index;
w1expressing the ratio of the number of all cases under the first target index to the total number of times of executing the cases;
w2representing the ratio of the number of all cases under the second target index to the total number of times of executing the cases;
wiexpressing the ratio of the number of all cases under the ith target index to the total number of times of executing the cases;
wmrepresents the ratio of the number of all cases to the total number of times the case is executed under the mth target index.
It should be noted that the apparatus is an apparatus corresponding to the above method, and all the implementations in the above method embodiment are applicable to the embodiment of the apparatus, and the same technical effects can be achieved.
Embodiments of the present invention also provide a computing device, comprising: the system comprises a processor, a memory, a communication interface and a communication bus, wherein the processor, the memory and the communication interface complete mutual communication through the communication bus; the memory is used for storing at least one executable instruction, and the executable instruction causes the processor to execute the corresponding operation of the method.
Embodiments of the present invention also provide a computer-readable storage medium storing instructions that, when executed on a computer, cause the computer to perform the method as described above.
Those of ordinary skill in the art will appreciate that the various illustrative elements and algorithm steps described in connection with the embodiments disclosed herein may be implemented as electronic hardware or combinations of computer software and electronic hardware. Whether such functionality is implemented as hardware or software depends upon the particular application and design constraints imposed on the implementation. Skilled artisans may implement the described functionality in varying ways for each particular application, but such implementation decisions should not be interpreted as causing a departure from the scope of the present invention.
It can be clearly understood by those skilled in the art that, for convenience and simplicity of description, the specific working processes of the above-described systems, apparatuses and units may refer to the corresponding processes in the foregoing method embodiments, and are not described herein again.
In the embodiments provided in the present invention, it should be understood that the disclosed apparatus and method may be implemented in other ways. For example, the above-described apparatus embodiments are merely illustrative, and for example, the division of the units is only one logical division, and other divisions may be realized in practice, for example, a plurality of units or components may be combined or integrated into another system, or some features may be omitted, or not executed. In addition, the shown or discussed mutual coupling or direct coupling or communication connection may be an indirect coupling or communication connection through some interfaces, devices or units, and may be in an electrical, mechanical or other form.
The units described as separate parts may or may not be physically separate, and parts displayed as units may or may not be physical units, may be located in one place, or may be distributed on a plurality of network units. Some or all of the units can be selected according to actual needs to achieve the purpose of the solution of the embodiment.
In addition, functional units in the embodiments of the present invention may be integrated into one processing unit, or each unit may exist alone physically, or two or more units are integrated into one unit.
The functions may be stored in a computer-readable storage medium if they are implemented in the form of software functional units and sold or used as separate products. Based on such understanding, the technical solution of the present invention may be embodied in the form of a software product, which is stored in a storage medium and includes instructions for causing a computer device (which may be a personal computer, a server, or a network device) to execute all or part of the steps of the method according to the embodiments of the present invention. And the aforementioned storage medium includes: various media capable of storing program codes, such as a U disk, a removable hard disk, a ROM, a RAM, a magnetic disk, or an optical disk.
Furthermore, it is to be noted that in the device and method of the invention, it is obvious that the individual components or steps can be decomposed and/or recombined. These decompositions and/or recombinations are to be considered as equivalents of the present invention. Also, the steps of performing the series of processes described above may naturally be performed chronologically in the order described, but need not necessarily be performed chronologically, and some steps may be performed in parallel or independently of each other. It will be understood by those skilled in the art that all or any of the steps or elements of the method and apparatus of the present invention may be implemented in any computing device (including processors, storage media, etc.) or network of computing devices, in hardware, firmware, software, or any combination thereof, which can be implemented by those skilled in the art using their basic programming skills after reading the description of the present invention.
Thus, the objects of the invention may also be achieved by running a program or a set of programs on any computing device. The computing device may be a general purpose device as is well known. The object of the invention is thus also achieved solely by providing a program product comprising program code for implementing the method or the apparatus. That is, such a program product also constitutes the present invention, and a storage medium storing such a program product also constitutes the present invention. It is to be understood that the storage medium may be any known storage medium or any storage medium developed in the future. It is further noted that in the apparatus and method of the present invention, it is apparent that each component or step can be decomposed and/or recombined. These decompositions and/or recombinations are to be considered as equivalents of the present invention. Also, the steps of executing the series of processes described above may naturally be executed chronologically in the order described, but need not necessarily be executed chronologically. Some steps may be performed in parallel or independently of each other.
While the foregoing is directed to the preferred embodiment of the present invention, it will be understood by those skilled in the art that various changes and modifications may be made without departing from the spirit and scope of the invention as defined in the appended claims.

Claims (10)

1. A method for evaluating service execution efficiency is characterized by comprising the following steps:
acquiring a service log in a preset time period;
obtaining the aging value of at least one index of the service according to the service log; the time efficiency value is used for representing the execution efficiency of the service under the index; the indicator includes at least one of: a traffic path, a traffic activity; the service path is a service activity sequence formed by a plurality of service activities executed when any task is completed;
and evaluating the service execution efficiency according to the time-effective value of the at least one index.
2. The method for evaluating execution efficiency of service according to claim 1, wherein obtaining an aging value of at least one index of service according to the service log comprises:
acquiring a first state distribution and a second state distribution of any target index in the at least one index;
acquiring a first difference value between the actual distribution of the execution time of the target index and the first state distribution and a second difference value between the actual distribution and the second state distribution;
and obtaining the aging value of the target index according to the first difference value and the second difference value.
3. The method of evaluating execution efficiency of a service according to claim 2,
the first state distribution is: distribution of execution times in a state where actual execution times of each case in the target index are equal;
the second state distribution is: in the actual execution time of the target index, the execution time of n-1 cases is as follows: the distribution of the execution time in a state that the execution time of one case is n x T is equal to 0 or within a preset range larger than 0; wherein, T is the average execution time of all cases under the target index, and n is a positive integer.
4. The method for evaluating the execution efficiency of the service according to claim 2, wherein obtaining the aging value of the target indicator according to the first difference value and the second difference value comprises:
according to the formula
Figure DEST_PATH_IMAGE002
Obtaining the aging value of the target index,
wherein i =1, 2, …, m, a number indicating each target index,
Figure DEST_PATH_IMAGE004
the first difference value is a value of the first difference,
Figure DEST_PATH_IMAGE006
is a second difference value, TEiIs the aging value of the target index.
5. The method of evaluating execution efficiency of services according to claim 4,
according to the formula
Figure DEST_PATH_IMAGE008
Obtaining the first difference value;
wherein i =1, 2, …, m, a number indicating each target index,
Figure DEST_PATH_IMAGE010
for the execution time of the target index i in the first state,
Figure DEST_PATH_IMAGE012
is the j-th actual execution time of the target index i, and k is the execution times of the i-th target index.
6. The method of evaluating execution efficiency of services according to claim 4,
according to the formula
Figure DEST_PATH_IMAGE014
Obtaining the second difference value;
wherein i =1, 2, …, m, a number indicating each target index,
Figure DEST_PATH_IMAGE016
for the execution time of the target index i in the second state,
Figure 664486DEST_PATH_IMAGE012
is the j-th actual execution time of the target index i, and k is the execution times of the i-th target index.
7. The method for evaluating execution efficiency of services according to claim 4, further comprising:
according to the formula TEGeneral assembly=w1*TE1+w2*TE2+...+wi*TEi+...+wm*TEmAcquiring a total time-effective value of the target index;
wherein TEGeneral assemblyA total time-efficient value representing the target index;
TE1an age value representing a first target index;
TE2an aging value representing a second target index;
TEirepresenting the aging value of the ith target index;
TEman aging value representing the mth target index;
w1representing the ratio of the number of all cases under the first target index to the total number of times of executing the cases;
w2representing the ratio of the number of all cases under the second target index to the total number of times of executing the cases;
wiexpressing the ratio of the number of all cases under the ith target index to the total number of times of executing the cases;
wmrepresents the ratio of the number of all cases to the total number of times the case is executed under the mth target index.
8. An apparatus for evaluating execution efficiency of a service, the apparatus comprising:
the acquisition module is used for acquiring a service log in a preset time period;
the processing module is used for obtaining an aging value of at least one index of the service according to the service log, wherein the aging value is used for expressing the execution efficiency of the service under the index; the indicator includes at least one of: a traffic path, a traffic activity; the service path is a service activity sequence formed by a plurality of service activities executed when any task is completed; and evaluating the service execution efficiency according to the time-effective value of the at least one index.
9. A computing device, comprising: the system comprises a processor, a memory, a communication interface and a communication bus, wherein the processor, the memory and the communication interface are communicated with each other through the communication bus;
the memory is used for storing at least one executable instruction which causes the processor to execute the corresponding operation of the method according to any one of claims 1-7.
10. A computer-readable storage medium having stored thereon instructions which, when executed on a computer, cause the computer to perform the method of any one of claims 1 to 7.
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Citations (3)

* Cited by examiner, † Cited by third party
Publication number Priority date Publication date Assignee Title
CN101751607A (en) * 2008-12-03 2010-06-23 中国移动通信集团安徽有限公司 System and method for evaluating work efficiency
CN109257612A (en) * 2018-08-09 2019-01-22 广州虎牙信息科技有限公司 Assessment Method on Potential, device, computer storage medium and server is broadcast live in game
CN114219377A (en) * 2022-02-22 2022-03-22 云智慧(北京)科技有限公司 Service resource allocation method, device and equipment

Patent Citations (3)

* Cited by examiner, † Cited by third party
Publication number Priority date Publication date Assignee Title
CN101751607A (en) * 2008-12-03 2010-06-23 中国移动通信集团安徽有限公司 System and method for evaluating work efficiency
CN109257612A (en) * 2018-08-09 2019-01-22 广州虎牙信息科技有限公司 Assessment Method on Potential, device, computer storage medium and server is broadcast live in game
CN114219377A (en) * 2022-02-22 2022-03-22 云智慧(北京)科技有限公司 Service resource allocation method, device and equipment

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