CN118171881A - Method, system, equipment and medium for measuring network target range scene resources - Google Patents
Method, system, equipment and medium for measuring network target range scene resources Download PDFInfo
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Abstract
The invention provides a method, a system, equipment and a medium for measuring scene resources of a network shooting range, which solve the technical problem that research and development investment and development management lack effective measurement means in the existing scene resource development process. The method comprises the following steps: quantifying roles, skills and development members required for manufacturing scene resources according to industry characteristics and business requirements; quantifying the production workload of the development member according to the time sequence interaction state of the development member and the virtual machine in the scene resource production process; and quantifying the measurement dimension of the resource scene manufacturing investment according to the manufacturing workload, and using the measurement dimension data for cost accounting of the resource scene. And mapping the invisible cost biased to the planning into the actual processing and embodying production behaviors of development members in the specific virtual machine production process. And the cost measurement dimension of the scene resource is simplified through the effective manufacturing behavior identification of the virtual machine manufacturing process, the investment dimension of the scene resource is known, and the manufacturing cost of the scene resource/virtual machine is measured.
Description
Technical Field
The invention relates to the technical field of software simulation, in particular to a method, a system, equipment and a medium for measuring network shooting range scene resources.
Background
The network target range is an essential core infrastructure for carrying out network space safety research, learning, testing, verification, exercise and other businesses in various countries, and can provide a targeted simulation environment of real businesses for industry users through applications or services in the network target range.
Generally, applications or services are composed of scene resources, and operating machines, web application servers, database system servers and the like in the simulation reality network are provided in the form of virtual machines and are supported by an operating system, so that the requirements of users on using, accessing and researching the various applications or services can be met. Various simulation resources carried in the virtual machine, especially mirror image resources such as loopholes, services, businesses and the like constructed on various operating systems such as windows, linux and the like, are important components influencing the development of network target range simulation businesses. The overall scene target simulation can be realized through a virtual machine customized for various services of the business process.
The cost estimation is relatively mature according to the software and hardware basic resources and basic functions relied on by the virtual machine, the measurement standard of the development degree of the software engineering software at home and abroad can be used for reference, such as the international mainstream function point method for measuring the software scale, and then the software workload and cost are calculated through the reference data. The scene resource requirement is derived from the business requirement/safety requirement of the user, has strong business logic customization and realization level complexity, and has strong software and hardware fusion skills and realization creative capability in the realization process. Resulting in predictable scale of scene resources, but scene resource development investment is difficult to measure. This presents difficulties in cost metrics and development management in current/later projects. The current cost measure of scene resource development lacks data support, namely, the actual value of the existing scene resource cannot be experienced, and the improvement of the value creation process of the scene resource cannot be guided. The manufacturing process of scene resources mainly shows that a large amount of repeated adjustment work exists, the manufacturing of scene resources relates to personnel of different kinds of work, such as scene designers, service developers (coverage java, PHP, python and other development languages), penetration test/security personnel (familiarity with various framework technologies and coverage ATT & CK full-technology domains), operation and maintenance deployment personnel (coverage of distributed, cloud platform, big data, internet of things and other service levels), the technical span is large, and the personnel capability is uneven. Even with the simplest man-hour approach, there are statistical difficulties and problems with no data support. How to flexibly and effectively realize the cost measurement of network target range scene resources is a problem which needs to be solved at present.
Disclosure of Invention
In view of the above problems, the embodiments of the present invention provide a method, a system, an apparatus, and a medium for measuring a network target scene resource, which solve the technical problems that research and development investment cannot be quantified and development management lacks an effective measurement means in the existing scene resource development process.
The method for measuring the network target range scene resources comprises the following steps:
Quantifying roles, skills and development members required for manufacturing scene resources according to industry characteristics and business requirements;
quantifying the production workload of the development member according to the time sequence interaction state of the development member and the virtual machine in the scene resource production process;
And quantifying the measurement dimension of the resource scene manufacturing investment according to the manufacturing workload, and using the measurement dimension data for cost accounting of the resource scene.
In an embodiment of the present invention, the quantifying roles, skills and development members required for making scene resources according to industry characteristics and business requirements includes:
Determining a template virtual machine of scene resources required by a business basic framework according to industry characteristic classification;
The method is used for setting the skill requirements, role types and configuration quantity of development members according to the template virtual machine and scene resource manufacturing requirements.
In an embodiment of the present invention, in the process of creating the scene resource, quantifying the workload of the developer according to the time sequence interaction state of the developer and the virtual machine includes:
acquiring the behavior state of a development member for operating a virtual machine to manufacture scene resources in the provided special operation channel;
Acquiring a resource change state of a virtual machine in the scene resource manufacturing process;
and identifying effective man-hours of the development member in determining the development role according to the behavior state and the resource change state.
In one embodiment of the present invention, the determining of the effective man-hour includes:
Performing effective man-hour quantification according to the operation behavior persistence of development members in the interaction process of determining roles;
performing effective man-hour quantification according to a virtual machine resource rapid change state caused by operation behaviors;
performing effective man-hour quantification according to the continuous change state of virtual machine resources caused by operation behaviors;
and forming invalid working hour distribution data according to the valid working hour distribution in the manufacturing process.
In an embodiment of the present invention, the quantifying the measurement dimension of the resource scene manufacturing investment according to the manufacturing workload, and using the measurement dimension data for cost accounting of the resource scene includes:
clustering the distribution of effective man-hours in scene resources to form a measurement dimension of human resource investment in a manufacturing process, wherein the measurement dimension is used for evaluating the scene resource value distribution;
Setting the accounting unit price of effective working hours according to the roles, skills and industry characteristics of development members, and accounting the technical input cost of scene resources according to the effective working hours.
The measurement system of the network target range scene resource comprises the following components:
The manpower configuration device is used for quantitatively manufacturing roles, skills and development members required by scene resources according to industry characteristics and business requirements;
the behavior recognition device is used for quantifying the production workload of the development member according to the time sequence interaction state of the development member and the virtual machine in the scene resource production process;
and the resource accounting device is used for quantifying the measurement dimension of the resource scene manufacturing investment according to the manufacturing workload and using the measurement dimension data for cost accounting of the resource scene.
The electronic equipment of the embodiment of the invention comprises:
A processor, a memory;
The memory is used for storing programs and data, and the processor calls the programs stored in the memory to execute the method.
The computer readable storage medium of an embodiment of the present invention includes a program for executing the above-described method when executed by a processor.
The method, the system, the equipment and the medium for measuring the scene resources of the network target range map the invisible cost of the scene resources/virtual machines, which is biased to planning in the process of business analysis, resource demand adaptation, architecture design realization and the like, into the actual processing embodied production behaviors of development members in the production process of the specific virtual machines. The cost measurement dimension of the scene resource is simplified through the effective manufacturing behavior identification of the virtual machine manufacturing process, so that the method can adapt to each stage of the virtual machine manufacturing process and provides quantized data of human intelligence resource investment. The method has the advantages that the effective operation time is collected through monitoring network target range resources and member behaviors in the manufacturing process, the cost measurement of the virtual machine is accumulated through combining the monthly fee output of people, the cost of the scene and the workload distribution of the cost are summarized, and the method is continuously used for manually judging the influence of industries, simulation degrees and the like on scene manufacturing and guiding the improvement of the efficiency of internal personnel. The method and the device have the advantages that the manufacturing cost of the scene resources/virtual machines is measured, the investment dimension of the scene resources is known, and a mat is made for reasonably scheduling the resources and improving the operation efficiency.
Drawings
Fig. 1 is a flowchart illustrating a method for measuring network target scene resources according to an embodiment of the invention.
Fig. 2 is a flow chart of a measurement system of network target scene resources according to an embodiment of the invention.
Fig. 3 is a schematic diagram of an architecture of an electronic device according to an embodiment of the invention.
Detailed Description
The present invention will be further described with reference to the drawings and the detailed description below, in order to make the objects, technical solutions and advantages of the present invention more apparent. It will be apparent that the described embodiments are only some, but not all, embodiments of the invention. All other embodiments, which can be made by those skilled in the art based on the embodiments of the invention without making any inventive effort, are intended to be within the scope of the invention.
An embodiment of a method for measuring network target scene resources is shown in fig. 1. In fig. 1, the present embodiment includes:
Step 100: and quantifying roles, skills and development members required for making scene resources according to industry characteristics and business requirements.
In industries with higher informatization construction maturity and informatization safety protection level, such as operators and financial industries, the method has the advantages of high informatization degree, high safety investment, less potential security holes, high customer cognition level and high requirements of customers on business simulation details and business compliance, so that the realization difficulty of scene resource manufacturing is correspondingly improved. The qualitative analysis of scene resources for the targeted business demands of different industries is formed by quantifying the business simulation degree according to the industry attribute, so that the measurement dimension and dimension weight of the scene resource manufacturing complexity are formed. Meanwhile, the types of development roles required by scene resources in various stages of construction/service development, penetration test/security analysis, implementation and deployment and the like are quantified on the basis of meeting the service simulation requirements, and the skill requirements of the development roles and the number of members of the development roles.
Step 200: and quantifying the production workload of the development member according to the time sequence interaction state of the development member and the virtual machine in the scene resource production process.
Those skilled in the art will appreciate that the scenario resource creation process is the development of a business simulation environment by development members in a virtual machine environment that forms a generic base resource and base function configuration. Development members of different roles form scene resources by creatively manipulating, compiling or encoding the underlying resources and underlying functions on the virtual machines. Meaningful and nonsensical development member behaviors constitute a scene resource making process. The behavior recognition and measurement strategy quantifies the time sequence identifiable behavior of the development member in the development process to form corresponding workload statistics, the workload is utilized to form a check basis of scientific and technological knowledge manpower investment in the scene resource manufacturing process, and the scene resource investment cost measurement dimension is formed through mapping.
Step 300: and quantifying the measurement dimension of the resource scene manufacturing investment according to the manufacturing workload, and using the measurement dimension data for cost accounting of the resource scene.
And determining the labor input cost and the proportion of each manufacturing stage and each role according to the time sequence workload. And forming a resource scene measurement foundation with different industry attributes and business requirements by taking each manufacturing stage and each role as measurement dimensions.
According to the method for measuring the scene resources of the network target range, disclosed by the embodiment of the invention, the invisible cost of the scene resources/virtual machines, which is biased to planning in the process of business analysis, resource demand adaptation, architecture design realization and the like, is mapped into the actual processing and embodied production behaviors of development members in the specific virtual machine production process. The cost measurement dimension of the scene resource is simplified through the effective manufacturing behavior identification of the virtual machine manufacturing process, so that the method can adapt to each stage of the virtual machine manufacturing process and provides quantized data of human intelligence resource investment. The method has the advantages that the effective operation time is collected through monitoring network target range resources and member behaviors in the manufacturing process, the cost measurement of the virtual machine is accumulated through combining the monthly fee output of people, the cost of the scene and the workload distribution of the cost are summarized, and the method is continuously used for manually judging the influence of industries, simulation degrees and the like on scene manufacturing and guiding the improvement of the efficiency of internal personnel. The method and the device have the advantages that the manufacturing cost of the scene resources/virtual machines is measured, the investment dimension of the scene resources is known, and a mat is made for reasonably scheduling the resources and improving the operation efficiency.
As shown in fig. 1, in an embodiment of the present invention, step 100 includes:
Step 110: and determining the template virtual machine of scene resources required by the business basic architecture according to the industry characteristic classification.
Those skilled in the art will understand that, through the SDN software defined network, a basic software and hardware resource configuration and a basic function setting may be formed according to the business characteristics of the industry, and a basic template virtual machine may be formed according to the business characteristics of the industry and the business simulation requirements. The template virtual machine is formed aiming at one or more business simulation requirements, and the template virtual machine forms an integral simulation infrastructure of the complete business.
Step 120: and setting the skill requirements, role types and configuration quantity of development members according to the template virtual machine and scene resource manufacturing requirements.
The scene resource of the template virtual machine corresponds to the realization of the business simulation process. The establishment of scene resources is formed through the manufacturing stages of service development, operation and maintenance deployment, penetration test and the like. Development members with different professional skills are required to form corresponding development roles, operation and maintenance roles and test roles by using the professional skills in each stage so as to complete the manufacture of scene resources.
The measuring method of the network target range scene resource in the embodiment of the invention utilizes the adaptation degree of the scene resource and the industry characteristic to converge the demand range of the scene resource. And the human resource measurement standard in the scene resource manufacturing and perfecting process is quantized according to the requirements of development member expertise, so as to provide the site embodying measurement basis of expertise and scientific research investment.
As shown in fig. 1, in an embodiment of the present invention, step 200 includes:
step 210: and acquiring the behavior state of the development member for operating the virtual machine to make scene resources in the provided special operation channel.
The special operation channel is an interaction path established between the development member and the virtual machine. The scene resource making process of the development member operating the virtual machine can be completed and monitored in a special operation channel.
In one embodiment of the invention, the dedicated operation channel is formed by Web VNC technology. The Web VNC remotely transmits an operation interface of the virtual machine to a technology of an operation user through a Web interface. Through the web browser, keyboard input and mouse input of the operating user can be transmitted to the virtual machine, and an effect similar to that of operating the virtual machine locally is constructed. The network target range platform can recognize keyboard input and mouse activity of the client through the VNC protocol interface;
Step 220: and acquiring the resource change state of the virtual machine in the scene resource manufacturing process.
Those skilled in the art will appreciate that the management system of the network target platform may monitor the change condition of the virtual machine resources including, but not limited to, CPU, memory, disk, and network, and obtain the resource change state during the process of manufacturing the development member during the operation of the virtual machine.
In an embodiment of the invention, the resource change state matching is performed according to the time sequence behavior state of the development member in the manufacturing process, and the time sequence behavior and the resource change of the corresponding time sequence period are determined.
Step 230: and identifying effective man-hours of the development member in determining the development role according to the behavior state and the resource change state.
In one embodiment of the invention, the identification of valid man-hours characterizing the workload includes:
-effective man-hour quantification from the persistence of the development member's operational behaviour in the interaction process of determining the character. Mainly aiming at the continuous operation process of the mouse and the keyboard. A development member may have at least one development role.
-Performing efficient man-hour quantification based on the fast change state of virtual machine resources caused by the operation behavior. The method mainly aims at the execution process of the rapid integration change and the rapid discrete change of virtual machine resources such as network traffic, CPU, memory, disk, special stack and the like caused by operation behaviors. For example forming a parallel collection of resources or discrete triggers to resource requirements.
-Performing an efficient man-hour quantification based on the state of persistent changes of virtual machine resources caused by the operational behaviour. The method mainly aims at the continuous and low-magnitude change and execution process of virtual machine resources such as network traffic, CPU (Central processing Unit), memory, disk, special stack and the like caused by operation behaviors. Such as resulting directional small traffic sustained data or periodic instructions and operations.
-Forming invalid man-hour distribution data from the valid man-hour distribution during the manufacturing process. The invalid operation forms invalid working hours and can be used as an evaluation basis for the working efficiency of development members.
The method for measuring the network target range scene resource in the embodiment of the invention utilizes the combination of the interactive behavior and the virtual machine resource state to form the identification and quantification of the working state of the development member, thereby ensuring the accurate quantification of the deployment state and the simulation degree of the professional skill and the scientific knowledge mapped to the working state of the development member.
As shown in fig. 1, in an embodiment of the present invention, step 300 includes:
step 310: and clustering the distribution of the effective man-hours in the scene resources to form a measurement dimension of human resource investment in the manufacturing process, and evaluating the scene resource value distribution.
And decomposing and mapping the scene resources according to the service framework defined by the SDN to form the correlation between each functional module of the service framework and the scene resources. And a functional module for clustering effective man-hours according to the scene resource correlation to determine the measurement dimension serving as technical investment.
Step 320: setting the accounting unit price of effective working hours according to the roles, skills and industry characteristics of development members, and accounting the technical input cost of scene resources according to the effective working hours.
The method for measuring the scene resources of the network target range effectively combines the technical investment for manufacturing the scene resources with the composition structure of the simulation service, so that the scene resources can be reasonably and accurately quantized by taking the service function as a unit. The subsequent manpower and technology cost is put into the accounting scientifically and normalized.
In the measurement method of the embodiment, a general template virtual machine is configured according to the industry service characteristics of a user in practical application to acquire basic software and hardware resources of service simulation, and service construction is performed on the basis. For example, java and php other mainstream programming software and frames are adopted, the content is realized by service developers, built-in service loopholes/component loopholes or configuration (weak passwords)/authentication careless mistakes and the like are planned by scene designers, specific requirements are provided by penetration testers/security analyzers, the service developers cooperate, and multiple/multi-round modification revisions are possible, so that a progressive detail process exists; the process involves software deployment and configuration (such as distributed deployment, big data platform, load balancing, etc.) requiring the participation of operation and maintenance deployment personnel. When the user industry characteristics result in high simulation demands, the deployment and configuration require multiple iterative adjustments, which makes the manufacture of scene resources very time-consuming, not easy to prejudge, and has professional requirements depending on the capability level, number, and skill coverage area of current manufacturers (scene designers, business developers, penetration testers/business developers, deployment implementation personnel, etc.).
In the process of making scene resources by utilizing basic software and hardware resources of the virtual machine, making account numbers and roles participating in each stage are distributed to the development members. Under the default condition, one person can only have one role, for example, under the condition that the person is limited or the division is not clear, 2 roles can be taken by one person, and 3 roles are not taken by one person; and defines the skill level (high, medium, low) of the user.
The template virtual machine is defined according to the characteristics of application industries (such as finance, communication, internet, medical treatment and the like), business, loopholes, configuration and the like are manufactured on the basis, the template virtual machine is uniquely identified, and specific development members of business developers, operation and maintenance deployment personnel and permeation tester roles are designated. Starting the virtual machine by the development member from the operation start, starting the recording of the target range platform until the virtual machine resource runs stably, and simultaneously comparing the keyboard input and the mouse activity event time of the client side and judging by combining the network flow/CPU/memory change condition; once the network flow changes, the CPU, the memory and the magnetic disk continuously change, and even if no keyboard and mouse events exist, the effective working time can be still determined. If the user inputs the keyboard and the mouse has more activities, the effective time is determined 10 minutes after the last recording, if the effective time is superimposed to the continuous change of the resource (if the network card flow defaults to the link establishment flow is less, but if the data transmission exists, the link establishment flow can be maintained for a longer time duration), the effective working time is still identified by default. Determination of invalid working time: if the client input and resource change condition is not available, judging that no personnel operation is currently available, and if the time lasts for 5 minutes and has not been changed, ending the effective time timing, wherein the current user does not perform effective operation.
The target range platform gathers the effective working hours of a single development member of a certain virtual machine to obtain the total working hours of the user input on the scene resources, such as the single user bears two roles, the working hours are halved by default on the whole, and the working hours of all users of all scene resources and the working hours after the role division are obtained. Different planned personnel expenses (such as 2000 yuan/day of penetration test personnel) are respectively configured by combining the roles and skill levels (high, medium and low) of the users, and the cost of the scene resource is calculated according to a summarizing mode; the cost of the whole service scene (composed of a plurality of scene resources/virtual machines) is obtained in a summarizing way, and the cost is output at the same time, wherein in the scene, the working time and the workload duty ratio of the whole role are calculated; overall personnel man-hours, and personnel workload duty cycle, the overall cost of the scene resources of the industry.
A system for measuring network target scene resources according to an embodiment of the invention is shown in FIG. 2. In fig. 2, the present embodiment includes:
A human configuring device 10 for quantifying roles, skills and development members required for making scene resources according to industry characteristics and business requirements;
The behavior recognition device 20 is used for quantifying the production workload of the development member according to the time sequence interaction state of the development member and the virtual machine in the scene resource production process;
the resource accounting device 30 is used for quantifying the measurement dimension of the resource scene manufacturing investment according to the manufacturing workload, and using the measurement dimension data for cost accounting of the resource scene.
As shown in fig. 2, in an embodiment of the present invention, the manual configuration device 10 includes:
the industry adaptation module 11 is used for determining a template virtual machine of scene resources required by the business basic architecture according to industry characteristic classification;
The preparation adapting module 12 is configured to set the skill requirements, role types and configuration numbers of the development members according to the template virtual machine and the scene resource preparation requirements.
As shown in fig. 2, in an embodiment of the present invention, the behavior recognition apparatus 20 includes:
the behavior acquisition module 21 is used for acquiring behavior states of a development member operating the virtual machine to make scene resources in the provided special operation channel;
the behavior evaluation module 22 is configured to obtain a resource change state of the virtual machine in a scenario resource manufacturing process;
The behavior quantification module 23 is used for identifying the effective man-hour of the development member in determining the development role according to the behavior state and the resource change state.
As shown in fig. 2, in an embodiment of the present invention, the resource accounting device 30 includes:
the resource measurement module 31 is configured to cluster the distribution of the effective man-hours in the scene resources to form a measurement dimension of human resource investment in the manufacturing process, and is used for evaluating the scene resource value distribution;
the resource accounting module 32 is configured to set an accounting unit price of the effective man-hour according to the roles, skills and industry characteristics of the development member, and to account for the technical input cost of the scene resource according to the effective man-hour.
A specific implementation of an electronic device implementing all the steps of the method in the above embodiments is shown. In fig. 3, the electronic device 600 specifically includes the following:
Processor 610, memory 620, communication unit 630, and bus 640;
Wherein processor 610, memory 620, and communication unit 630 communicate with each other via bus 640; the communication unit 630 is configured to implement information transmission between the server-side device and the terminal device.
The processor 610 is configured to invoke a computer program in the memory 620, and when the processor executes the computer program, implement all the steps in the method for measuring network target scene resources in the above embodiment.
Those of ordinary skill in the art will appreciate that: the Memory may be, but is not limited to, random access Memory (Random Access Memory, abbreviated as RAM), read Only Memory (ROM), programmable Read Only Memory (Programmable Read-Only Memory, abbreviated as PROM), erasable Read Only Memory (Erasable Programmable Read-Only Memory, abbreviated as EPROM), electrically erasable Read Only Memory (Electric Erasable Programmable Read-Only Memory, abbreviated as EEPROM), etc. The memory is used for storing a program, and the processor executes the program after receiving the execution instruction. Further, the software programs and modules within the memory may also include an operating system, which may include various software components and/or drivers for managing system tasks (e.g., memory management, storage device control, power management, etc.), and may communicate with various hardware or software components to provide an operating environment for other software components.
The processor may be an integrated circuit chip with signal processing capabilities. The processor may be a general-purpose processor, including a central processing unit (Central Processing Unit, abbreviated as CPU), a network processor (NetworkProcessor, abbreviated as NP), and the like. The disclosed methods, steps, and logic blocks in the embodiments of the present application may be implemented or performed. A general purpose processor may be a microprocessor or the processor may be any conventional processor or the like.
The application also provides a computer readable storage medium comprising a program which, when executed by a processor, is adapted to carry out the method of measuring network range scene resources provided by any of the preceding embodiments.
Those of ordinary skill in the art will appreciate that: all or part of the steps for implementing the method embodiments described above may be performed by hardware associated with program instructions. The foregoing program may be stored in a computer readable storage medium. The program, when executed, performs steps including the method embodiments described above; and the aforementioned storage medium includes: various media such as ROM, RAM, magnetic or optical disks may store the program code, and the application is not limited by the specific type of media.
The present invention is not limited to the above-mentioned embodiments, and any changes or substitutions that can be easily understood by those skilled in the art within the technical scope of the present invention are intended to be included in the scope of the present invention. Therefore, the protection scope of the present invention should be subject to the protection scope of the claims.
Claims (8)
1. A method for measuring network target scene resources, comprising:
Quantifying roles, skills and development members required for manufacturing scene resources according to industry characteristics and business requirements;
quantifying the production workload of the development member according to the time sequence interaction state of the development member and the virtual machine in the scene resource production process;
And quantifying the measurement dimension of the resource scene manufacturing investment according to the manufacturing workload, and using the measurement dimension data for cost accounting of the resource scene.
2. The method of claim 1, wherein quantifying roles, skills and development members required to make a scene resource according to industry characteristics and business requirements comprises:
Determining a template virtual machine of scene resources required by a business basic framework according to industry characteristic classification;
The method is used for setting the skill requirements, role types and configuration quantity of development members according to the template virtual machine and scene resource manufacturing requirements.
3. The method for measuring network target scene resources according to claim 1, wherein quantifying the production workload of the development member according to the time sequence interaction state of the development member and the virtual machine in the scene resource production process comprises:
acquiring the behavior state of a development member for operating a virtual machine to manufacture scene resources in the provided special operation channel;
Acquiring a resource change state of a virtual machine in the scene resource manufacturing process;
and identifying effective man-hours of the development member in determining the development role according to the behavior state and the resource change state.
4. A method of measuring network range scene resources as claimed in claim 3, wherein the determination of the effective man-hours comprises:
Performing effective man-hour quantification according to the operation behavior persistence of development members in the interaction process of determining roles;
performing effective man-hour quantification according to a virtual machine resource rapid change state caused by operation behaviors;
performing effective man-hour quantification according to the continuous change state of virtual machine resources caused by operation behaviors;
and forming invalid working hour distribution data according to the valid working hour distribution in the manufacturing process.
5. The method of claim 1, wherein quantifying the measure dimension of the resource scene fabrication investment according to the fabrication workload, using the measure dimension data for cost accounting of the resource scene comprises:
clustering the distribution of effective man-hours in scene resources to form a measurement dimension of human resource investment in a manufacturing process, wherein the measurement dimension is used for evaluating the scene resource value distribution;
Setting the accounting unit price of effective working hours according to the roles, skills and industry characteristics of development members, and accounting the technical input cost of scene resources according to the effective working hours.
6. A system for measuring network range scene resources, comprising:
The manpower configuration device is used for quantitatively manufacturing roles, skills and development members required by scene resources according to industry characteristics and business requirements;
the behavior recognition device is used for quantifying the production workload of the development member according to the time sequence interaction state of the development member and the virtual machine in the scene resource production process;
and the resource accounting device is used for quantifying the measurement dimension of the resource scene manufacturing investment according to the manufacturing workload and using the measurement dimension data for cost accounting of the resource scene.
7. An electronic device, comprising:
A processor, a memory;
The memory is used for storing programs and data, and the processor calls the programs stored in the memory to execute the method according to any one of claims 1 to 5.
8. A computer readable storage medium, characterized in that the computer readable storage medium comprises a program for performing the method of any of claims 1 to 5 when being executed by a processor.
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