CN109873880B - Qos-driven industrial Internet of things service method, storage medium and terminal - Google Patents
Qos-driven industrial Internet of things service method, storage medium and terminal Download PDFInfo
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Abstract
An industrial Internet of things service method based on QoS drive, a storage medium and a terminal, wherein the method comprises the following steps: receiving an industrial internet service request sent by an industrial internet service demand party; constructing a multi-index cooperative service adaptation model taking response time, availability, throughput and credibility as evaluation indexes based on the received industrial internet service request; screening out a corresponding service provider from optional service providers by adopting the constructed multi-index collaborative service adaptation model to form an optimal service combination for processing the industrial internet service request; and processing the industrial Internet service request by adopting the optimal service combination. The scheme can provide the service quality of industrial Internet service and improve the resource utilization rate.
Description
Technical Field
The invention belongs to the technical field of industrial internet, and particularly relates to an industrial internet of things service method based on QoS drive, a storage medium and a terminal.
Background
With the development of computer technology and service networks, industrial production gradually enters intellectualization and automation, and industrial internet of things comes along.
The industrial internet of things realizes flexible configuration of manufacturing raw materials, execution of a manufacturing process according to needs, reasonable optimization of a manufacturing process and quick adaptation of a manufacturing environment through network interconnection, data intercommunication and system interoperation of industrial resources, so that efficient utilization of resources is achieved, and a service-driven new industrial system is constructed.
The service cooperation mainly means that the service calculation is completed in a dynamic open service network environment by means of cooperation among a plurality of independent service systems, so that the complex functional and non-functional requirements of users are met. However, the existing service method of the industrial internet has the problem of poor service quality, and the autonomous adaptive personalized and intelligent credible service cooperation is difficult to realize effectively.
Disclosure of Invention
The technical problem solved by the invention is how to provide the service quality of the industrial Internet service and improve the resource utilization rate.
In order to achieve the above object, the present invention provides an industrial internet of things service method based on QoS driving, including:
receiving an industrial internet service request sent by an industrial internet service demand party;
constructing a multi-index cooperative service adaptation model taking response time, availability, throughput and credibility as evaluation indexes based on the received industrial internet service request;
screening out a corresponding service provider from optional service providers by adopting the constructed multi-index collaborative service adaptation model to form an optimal service combination for processing the industrial internet service request;
and processing the industrial Internet service request by adopting the optimal service combination.
Optionally, the multi-index collaborative service adaptation model constructed by the model construction unit is as follows:
and the corresponding constraint conditions are as follows:
wherein QoS represents the multi-index collaborative service adaptation model, Re represents the maximum response time acceptable by the industrial Internet service, RiRepresenting a response time of an ith sub-service constituting the industrial Internet service, A representing the industrial Internet serviceAvailability accepted by the networking service, AiIndicating the availability of the ith sub-service constituting the industrial internet service, Th indicating the minimum network throughput acceptable by the industrial internet service, ThiRepresenting a network throughput representing an ith sub-service constituting the industrial internet service, T representing a minimum confidence level that the industrial internet service is acceptable, TiAnd n represents the number of sub-services constituting the industrial internet service.
Optionally, before the constructed multi-index collaborative service adaptation model is used to screen out an optimal service combination for processing the industrial internet service request from the corresponding service providers, the method further includes:
and filtering the non-trusted service providers from the service providers based on the cooperation degree evaluation information of the service providers in the processing of the finished industrial Internet of things service.
Optionally, the filtering, from the service provider, an untrusted service provider based on cooperation degree evaluation information of the service provider in processing of the completed industrial internet of things service includes:
acquiring information of all service providers in the service combination of which the processing is finished;
traversing all service providers in the service combination to obtain the traversed current service provider;
respectively acquiring information of cooperation degree evaluation of other service providers in the service combination on the current service provider in the process of processing the finished industrial Internet of things service;
respectively calculating the comprehensive evaluation values of other service providers in the service combination to the current service provider based on the acquired cooperation degree evaluation information, and generating a comprehensive evaluation set of the current service provider;
calculating a comprehensive evaluation average value and a comprehensive evaluation standard deviation of the current service provider based on the comprehensive evaluation set of the service provider;
respectively calculating the difference between each comprehensive evaluation value in the comprehensive evaluation set and the comprehensive evaluation average value of the current service provider, and generating an evaluation deviation set corresponding to the current service provider;
when the calculated comprehensive evaluation standard deviation is smaller than a preset standard deviation threshold value, increasing the number of doubtful times of other service providers corresponding to a preset number of evaluation deviation amounts with larger values in the evaluation deviation amount set by a preset value;
when the calculated comprehensive evaluation standard deviation is greater than or equal to the standard deviation threshold and the evaluation deviation set has a deviation greater than the corresponding invalid evaluation threshold, increasing the number of doubts of other service providers corresponding to the deviation greater than the corresponding invalid evaluation threshold by the numerical value;
acquiring a next service provider in the service combination as a current service provider until all service providers in the service combination are completely traversed;
acquiring information of the number of doubts and the number of evaluations of each service provider in the service combination; calculating and obtaining the suspicion rate of the corresponding service provider based on the acquired suspicion times and evaluation times of the service provider;
and when the calculated suspicion rate and the evaluation times are both larger than the corresponding threshold values, filtering the corresponding service provider as an untrusted service provider.
Optionally, the comprehensive evaluation value of the service provider is calculated by using the following formula:
and:
ΔEi＝|Ei-Ti(t-Δt)|；
wherein E isiIndicates a composite rating value, Q, for the ith service providerj,iDenotes the evaluation value of the jth service provider to the ith service provider, Ti(T) represents the individual reputation of the ith service provider at time T, Ti(t- Δ t) represents the personal reputation of the ith service provider at time (t- Δ t).
Optionally, the invalid evaluation threshold is calculated based on the corresponding composite rating standard deviation.
Optionally, the invalid evaluation threshold is calculated by using the following formula:
wherein, H (σ)i) Indicates the invalid evaluation threshold value, sigma, corresponding to the ith service provideriIndicating the invalid evaluation threshold corresponding to the ith service provider.
Optionally, the suspicion rate of the corresponding service provider is calculated by using the following formula:
wherein, MPiIndicates the suspicion rate of the ith service provider, MiTotal number of doubts of ith service provider, CiIndicating the total number of times the ith service provider was evaluated.
The embodiment of the invention also provides a computer-readable storage medium, on which computer instructions are stored, and when the computer instructions are executed, the method for providing the QoS-driven industrial internet of things based service is described in any one of the above embodiments.
The embodiment of the invention also provides a terminal, which comprises a memory and a processor, wherein the memory is stored with computer instructions capable of being run on the processor, and the processor executes the steps of any one of the QoS-driven-based industrial Internet of things service methods when running the computer instructions.
Compared with the prior art, the invention has the beneficial effects that:
according to the scheme, by receiving the industrial internet service request of an industrial internet service demand party, constructing a multi-index cooperative service adaptation model taking response time, availability, throughput and credibility as evaluation indexes based on the received industrial internet service request, screening out an optimal service combination for processing the industrial internet service request from selectable service combinations by adopting the constructed multi-index cooperative service adaptation model, and processing the industrial internet service request by adopting the optimal service combination, because the multi-index cooperative service adaptation model is constructed by adopting the response time, the availability, the throughput and the credibility as the evaluation indexes, multi-target optimization of the response time, the availability, the throughput and the credibility can be simultaneously realized, the pareto effective thought is satisfied, compared with a linear weighted service adaptation model, the response time, the availability, the throughput and the reliability of the service combination can be accurately measured, so that the quality of industrial internet service can be improved, and the utilization rate of resources can be improved.
Drawings
In order to more clearly illustrate the technical solutions in the embodiments of the present application, the drawings needed to be used in the description of the embodiments are briefly introduced below, and it is obvious that the drawings in the following description are only some embodiments of the present application, and it is obvious for those skilled in the art to obtain other drawings based on these drawings without inventive labor.
Fig. 1 is a schematic flow chart of an industrial internet of things service method based on QoS driving in an embodiment of the present invention;
FIG. 2 is a flow diagram illustrating a method of filtering untrusted service providers from service providers in an embodiment of the invention;
fig. 3 is a schematic structural diagram of an industrial internet of things service device based on QoS driving according to an embodiment of the present invention.
Detailed Description
The technical solutions in the embodiments of the present application will be clearly and completely described below with reference to the drawings in the embodiments of the present application, and it is obvious that the described embodiments are only a part of the embodiments of the present application, and not all of the embodiments. All other embodiments, which can be derived by a person skilled in the art from the embodiments given herein without making any creative effort, shall fall within the protection scope of the present application. The directional indications (such as up, down, left, right, front, back, etc.) in the embodiments of the present invention are only used to explain the relative positional relationship between the components, the movement, etc. in a specific posture (as shown in the drawings), and if the specific posture is changed, the directional indication is changed accordingly.
As described in the background art, the existing service method of the industrial internet has a problem of poor service quality, and it is difficult to effectively implement personalized and intelligent trusted service collaboration with self-adaptation.
The technical scheme of the invention comprises the steps of receiving an industrial internet service request of an industrial internet service demand party, constructing a multi-index cooperative service adaptation model taking response time, availability, throughput and credibility as evaluation indexes based on the received industrial internet service request, screening an optimal service combination for processing the industrial internet service request from selectable service combinations by adopting the constructed multi-index cooperative service adaptation model, and processing the industrial internet service request by adopting the optimal service combination, wherein the multi-target optimization of the response time, the availability, the throughput and the credibility can be simultaneously realized by adopting the response time, the availability, the throughput and the credibility as the evaluation indexes to construct the multi-index cooperative service adaptation model, the pareto effective thought is satisfied, compared with the linear weighting service adaptation model, the response time, the availability, the throughput and the reliability of the service combination can be accurately measured, so that the quality of industrial internet service can be improved, and the utilization rate of resources can be improved.
In order to make the aforementioned objects, features and advantages of the present invention comprehensible, embodiments accompanied with figures are described in detail below.
Fig. 1 is a schematic flow chart of an industrial internet of things service method based on QoS driving according to an embodiment of the present invention. Referring to fig. 1, a QoS-driven industrial internet of things service method may specifically include the following steps:
step S101: and receiving an industrial internet service request sent by an industrial internet service demander.
In a specific implementation, the device in the industrial internet can send a corresponding industrial internet service request according to actual needs. And the industrial internet service request carries corresponding information of the to-be-processed industrial internet service.
Step S102: and constructing a multi-index cooperative service adaptation model taking response time, availability, throughput and credibility as evaluation indexes based on the received industrial internet service request.
In an embodiment of the invention, response time, availability, throughput and credibility are selected as evaluation indexes, and a multi-index cooperative service adaptation model adapted to an industrial internet service request is constructed as follows:
QoS ═ response time, availability, throughput, confidence } ═ R, a, Th, T } (1)
Dividing industrial internet service GS into a plurality of sub-services, namely GS ═ SS1,SS2,…,SSnR, response time of each sub-service is RiAvailability is AiThe throughput is ThiConfidence level of TiThen, the total response time is
The total availability is
The total throughput is
The total confidence is
The above equation (1) can be converted into:
when the maximum acceptable response time for a total service GS is Re, the minimum acceptable throughput is Th, the acceptable availability is a, and the minimum allowable reliability is T, the corresponding constraints are:
wherein QoS represents the multi-index collaborative service adaptation model, Re represents the maximum response time acceptable by the industrial Internet service, RiRepresents a response time of an ith sub-service constituting the industrial Internet service, A represents an availability acceptable to the industrial Internet service, AiIndicating the availability of the ith sub-service constituting the industrial internet service, Th indicating the minimum network throughput acceptable by the industrial internet service, ThiRepresenting a network throughput representing an ith sub-service constituting the industrial internet service, T representing a minimum confidence level that the industrial internet service is acceptable, TiAnd n represents the number of sub-services constituting the industrial internet service.
Step S103: and screening out the corresponding service providers from the selectable service providers by adopting the constructed multi-index collaborative service adaptation model to form the optimal service combination for processing the industrial Internet service request.
In a specific implementation, when the multi-index collaborative service adaptation model is constructed, an optimal service combination which meets the response time, the availability, the throughput and the reliability required by the industrial internet service can be selected from optional service providers.
In an embodiment of the present invention, before the constructed multi-index collaborative service adaptation model is used to screen out a corresponding service provider from selectable service providers to form an optimal service combination for processing the industrial internet service request, an untrusted service provider may be filtered out from the service providers first, so that the service providers in the service combination for processing the industrial internet service request obtained subsequently are all trusted service providers, thereby improving the reliability of the selected optimal service combination and improving the reliability of processing the industrial internet service request. In an embodiment of the present invention, based on the cooperation degree evaluation information of the service providers in the service combination in processing the completed industrial internet of things service, the non-trusted service provider is filtered from the service providers, which is specifically referred to in fig. 2.
Step S104: and processing the industrial Internet service request by adopting the optimal service combination.
In a specific implementation, when a multi-index collaborative service adaptation model is adopted to screen out a corresponding service provider from selectable service providers to form an optimal service combination for processing the industrial internet service request, the determined optimal service combination can be used for processing the industrial internet service request, that is, the industrial internet service requester which does not correspond to the optimal service combination provides corresponding industrial internet service.
The credibility assessment method for the industrial internet of things service provider in the embodiment of the present invention will be described in further detail with reference to fig. 2. Referring to fig. 2, a method for credible evaluation of an industrial internet of things service provider may be implemented by how to:
step S201: and acquiring information of all service providers in the service combination of which the processing is finished.
In a specific implementation, the industrial internet of things service request is generally processed by a service combination of a plurality of service providers. In other words, a service combination that processes one industrial internet of things request may include more than two service providers.
Step S202: and traversing all service providers in the service combination to acquire the traversed current service provider.
In a specific implementation, the sequence of traversing the service providers in the service combination may be set according to actual needs, and is not limited herein.
Step S203: and respectively acquiring information of the cooperation evaluation of other service providers in the service combination on the current service provider in the process of processing the finished industrial Internet of things service.
In specific implementation, the cooperation degree evaluation of other service providers in the service combination on the current service provider in the process of processing the completed industrial internet of things service is obtained, that is, the cooperation degree evaluation of the service providers other than the current service provider in the service combination on the current service provider is obtained.
Step S204: and respectively calculating the comprehensive evaluation values of other service providers in the service combination to the current service provider based on the acquired cooperation degree evaluation information, and generating a comprehensive evaluation set of the current service provider.
In an embodiment of the present invention, the cooperation degree evaluation of the current service provider is used as an index, and a comprehensive evaluation value of other service providers in the service combination to the current service provider is obtained by adopting the following formula:
and:
ΔEi＝|Ei-Ti(t-Δt)| (4)
wherein E isiIndicates a composite rating value, Q, for the ith service providerj,iDenotes the evaluation value of the jth service provider to the ith service provider, Ti(T) represents the individual reputation of the ith service provider at time T, Ti(t- Δ t) represents the personal reputation of the ith service provider at time (t- Δ t).
In specific implementation, when a comprehensive evaluation value of each other service provider in a service combination to a current service provider is obtained through calculation, the obtained comprehensive evaluation value of the current service provider is added to the same set, and a comprehensive evaluation set corresponding to the current service provider is formed.
Step S205: and calculating the comprehensive evaluation average value and the comprehensive evaluation standard deviation of the current service provider based on the comprehensive evaluation set of the service provider.
In a specific implementation, the comprehensive evaluation average value and the comprehensive evaluation standard deviation can be calculated by using a calculation formula of the average value and the standard deviation in the prior art, and a person skilled in the art can select the comprehensive evaluation average value and the comprehensive evaluation standard deviation according to actual needs without limitation.
Step S206: and respectively calculating the difference between each comprehensive evaluation value in the comprehensive evaluation set and the comprehensive evaluation average value of the current service provider, and generating an evaluation deviation set corresponding to the current service provider.
In a specific implementation, when the comprehensive evaluation average value of the current service provider is calculated, each comprehensive evaluation value in the comprehensive evaluation set and the comprehensive evaluation average value of the current service provider are subjected to subtraction operation, so that the deviation amount of each other service provider in the service combination to the comprehensive evaluation value of the current service provider can be obtained. And taking a set formed by deviation amounts of the comprehensive evaluation numerical value of each other service provider to the current service provider in the service combination as an evaluation deviation amount set corresponding to the current service provider.
Step S207: judging whether the comprehensive evaluation standard deviation of the current service provider is smaller than a preset standard deviation threshold value or not; when the judgment result is yes, step S208 may be performed; otherwise, step S209 may be performed.
In a specific implementation, the preset standard deviation threshold may be selected according to an actual requirement, and is not limited herein.
Step S208: and increasing the number of times of suspicion of other service providers corresponding to the preset number of evaluation deviation amounts with larger values in the evaluation deviation amount set by preset values.
In specific implementation, when the calculated comprehensive evaluation standard deviation is smaller than a preset standard deviation threshold, it indicates that the proportion of the non-trusted service evaluators in the service combination is low, or the evaluated current service evaluator is a non-trusted service node providing a high-cooperation service. At this time, the number of doubts of the service providers corresponding to the preset number of evaluation deviation amounts with a larger value in the evaluation deviation amount set may be increased by a preset value according to the scale of the service combination. The preset number and the preset numerical value can be set according to actual needs, and are not limited herein.
Step S209: judging whether the offset which is larger than the corresponding invalid evaluation threshold exists in the evaluation offset set or not; when the judgment result is yes, step S210 may be performed; otherwise, step S211 may be performed.
In a specific implementation, the invalid evaluation threshold value can be set according to actual needs. In an embodiment of the present invention, the invalid evaluation threshold is related to a comprehensive evaluation standard deviation of the current service provider, that is, the invalid evaluation threshold corresponding to the current service provider is obtained by calculating according to the following formula:
wherein, H (σ)i) Watch (A)Shows the invalid evaluation threshold value, sigma, corresponding to the ith service provideriIndicating the invalid evaluation threshold corresponding to the ith service provider.
Step S210: increasing the number of doubts of other service providers corresponding to an offset greater than the corresponding invalid rating threshold by the value.
In a specific implementation, when the calculated comprehensive evaluation standard deviation is greater than or equal to the standard deviation threshold and an offset greater than a corresponding invalid evaluation threshold exists in the evaluation offset set, it indicates that a situation that some service providers provide malicious evaluations to other service providers occurs in the service combination. In this case, the other service provider corresponding to the offset greater than the invalid evaluation threshold in the evaluation offset amount set may be the suspicion target of the untrusted service provider, and the number of suspicions of the service provider may be increased by the value. The preset value may be selected according to actual needs, for example, set to 1, and the like, which is not limited herein.
Step S211: judging whether all service providers in the service combination are traversed or not; when the judgment result is yes, step S213 may be performed; otherwise, step S212 may be performed.
Step S212: and acquiring the next service provider in the service combination.
In a specific implementation, when it is determined that all the service providers in the service combination are not traversed, the service providers in the service combination may be traversed, the next service provider traversed is taken as the current service provider, and the execution is restarted from step S203.
Step S213: and acquiring the information of the number of doubts and the number of evaluations of each service provider in the service combination.
In a specific implementation, by performing the above steps S202 to S211 for each service provider in the service combination, some or all of the service providers in the service combination can obtain a certain number of doubts. Meanwhile, the number of evaluations of each service provider may be acquired.
Step S214: and calculating the suspicion rate of the corresponding service provider based on the acquired suspicion times and evaluation times of the service provider.
In an embodiment of the present invention, the suspicion rate of the service provider is calculated by using the following formula according to the suspicion times and evaluation times of the service provider:
wherein, MPiIndicates the suspicion rate of the ith service provider, MiTotal number of doubts of ith service provider, CiIndicating the total number of times the ith service provider was evaluated.
Step S215: and when the calculated suspicion rate and the evaluation times are both larger than the corresponding threshold values, filtering the corresponding service provider as an untrusted service provider.
In particular implementations, when the suspicion rate for each of the alternative service providers is calculated, the suspicion rate for the corresponding service provider is compared to a corresponding suspicion rate threshold
Comparing the total evaluated times of the corresponding service providers with a preset time threshold value
A comparison is made to determine whether the suspicion rate and the total number of evaluated times of the service provider both exceed corresponding thresholds. When the suspicion rate of the service provider is determined to be larger than the corresponding suspicion rate threshold
And the total evaluated times of the service provider and a preset time threshold value
Taking the corresponding service provider as an untrusted service providerAnd the supplier can filter out the corresponding credible service supplier, so that reliable industrial Internet of things service can be provided, and the quality of the industrial Internet of things service can be provided.
The method in the embodiment of the present invention is described in detail above, and the apparatus corresponding to the method will be described below.
Fig. 3 shows a schematic structural diagram of an industrial internet of things service device based on QoS driving in an embodiment of the present invention. Referring to fig. 3, an industrial internet of things service device 30 based on QoS driving may include a receiving unit 301, a model building unit 302, a service combination determining unit 303, and a processing unit 304, wherein:
the receiving unit 301 is adapted to receive an industrial internet service request sent by an industrial internet service demander.
The model construction unit 302 is adapted to construct a multi-index collaborative service adaptation model using response time, availability, throughput and credibility as evaluation indexes based on the received industrial internet service request.
The service combination determining unit 303 is adapted to select, from the selectable service providers, an optimal service combination for processing the industrial internet service request, which is formed by the corresponding service provider, by using the constructed multi-index collaborative service adaptation model.
The processing unit 304 is adapted to process the industrial internet service request by using the optimal service combination.
In a specific implementation, the multi-index collaborative service adaptation model constructed by the model construction unit 302 is:
and the corresponding constraint conditions are as follows:
whereinQoS represents the multi-index cooperative service adaptation model, Re represents the maximum response time acceptable by the industrial Internet service, RiRepresents a response time of an ith sub-service constituting the industrial Internet service, A represents an availability acceptable to the industrial Internet service, AiIndicating the availability of the ith sub-service constituting the industrial internet service, Th indicating the minimum network throughput acceptable by the industrial internet service, ThiRepresenting a network throughput representing an ith sub-service constituting the industrial internet service, T representing a minimum confidence level that the industrial internet service is acceptable, TiAnd n represents the number of sub-services constituting the industrial internet service.
In a specific implementation, the QoS-driven industrial internet of things service device 30 may further include a filtering unit 305, where:
the filtering unit 305 is adapted to filter, before screening out, from optional service providers, a corresponding service provider from an optimal service combination for processing the industrial internet service request by using the constructed multi-index collaborative service adaptation model, an untrusted service provider from the service providers based on cooperation degree evaluation information of the service providers in processing the completed industrial internet of things service.
In a specific implementation, the filtering unit 305 is adapted to obtain information of all service providers in a service combination of the processed industrial internet of things service; traversing all service providers in the service combination to obtain the traversed current service provider; respectively acquiring information of cooperation degree evaluation of other service providers in the service combination on the current service provider in the process of processing the finished industrial Internet of things service; respectively calculating the comprehensive evaluation values of other service providers in the service combination to the current service provider based on the acquired cooperation degree evaluation information, and generating a comprehensive evaluation set of the current service provider; calculating a comprehensive evaluation average value and a comprehensive evaluation standard deviation of the current service provider based on the comprehensive evaluation set of the service provider; respectively calculating the difference between each comprehensive evaluation value in the comprehensive evaluation set and the comprehensive evaluation average value of the current service provider, and generating an evaluation deviation set corresponding to the current service provider; when the calculated comprehensive evaluation standard deviation is smaller than a preset standard deviation threshold value, increasing the number of doubtful times of other service providers corresponding to a preset number of evaluation deviation amounts with larger values in the evaluation deviation amount set by a preset value; when the calculated comprehensive evaluation standard deviation is greater than or equal to the standard deviation threshold and the evaluation deviation set has a deviation greater than the corresponding invalid evaluation threshold, increasing the number of doubts of other service providers corresponding to the deviation greater than the corresponding invalid evaluation threshold by the numerical value; acquiring a next service provider in the service combination as a current service provider until all service providers in the service combination are completely traversed; acquiring information of the number of doubts and the number of evaluations of each service provider in the service combination; calculating and obtaining the suspicion rate of the corresponding service provider based on the acquired suspicion times and evaluation times of the service provider; and when the calculated suspicion rate and the evaluation times are both larger than the corresponding threshold values, filtering the corresponding service provider as an untrusted service provider.
In an embodiment of the present invention, the filtering unit 305 is adapted to calculate a comprehensive evaluation value of the service provider by using the following formula:
and:
ΔEi＝|Ei-Ti(t-Δt)|；
wherein E isiIndicates a composite rating value, Q, for the ith service providerj,iDenotes the evaluation value of the jth service provider to the ith service provider, Ti(T) represents the individual reputation of the ith service provider at time T, Ti(t- Δ t) represents the personal reputation of the ith service provider at time (t- Δ t).
In particular implementations, the invalid rating threshold may be calculated based on the corresponding composite rating standard deviation.
In an embodiment of the present invention, the filtering unit 305 is adapted to calculate the invalid evaluation threshold value by using the following formula:
wherein, H (σ)i) Indicates the invalid evaluation threshold value, sigma, corresponding to the ith service provideriIndicating the invalid evaluation threshold corresponding to the ith service provider.
In another embodiment of the present invention, the filtering unit 305 is adapted to calculate the suspicion rate of the corresponding service provider by using the following formula:
wherein, MPiIndicates the suspicion rate of the ith service provider, MiTotal number of doubts of ith service provider, CiIndicating the total number of times the ith service provider was evaluated. The embodiment of the invention also provides a computer readable storage medium, which stores computer instructions, and the computer instructions execute the steps of the QoS-driven-based industrial Internet of things service method when running. For the QoS-driven industrial internet of things service method, reference is made to the detailed description of the foregoing section, and details are not repeated.
The embodiment of the invention also provides a terminal, which comprises a memory and a processor, wherein the memory is stored with computer instructions capable of running on the processor, and the processor executes the steps of the QoS drive-based industrial Internet of things service method when running the computer instructions. For the QoS-driven industrial internet of things service method, reference is made to the detailed description of the foregoing section, and details are not repeated.
By adopting the scheme in the embodiment of the invention, when a service request of an industrial internet service demand party is received, the industrial internet service to be processed is obtained, the industrial internet service is divided into a plurality of corresponding sub-services, a multi-index cooperative service adaptation model taking response time, availability, throughput and credibility as evaluation indexes is constructed, an optimal service combination for processing the industrial internet service request is screened out from selectable service combinations by adopting the constructed multi-index cooperative service adaptation model, and the industrial internet service request is processed by adopting the optimal service combination obtained by solving, because the multi-index cooperative service adaptation model is constructed by adopting the response time, the availability, the throughput and the credibility as the evaluation indexes, the multi-objective optimization of the response time, the availability, the throughput and the credibility can be simultaneously realized, the method meets the pareto effective idea, and compared with a linear weighting service adaptation model, the method can accurately measure the response time, the availability, the throughput and the reliability of the service combination, so that the quality of industrial internet service can be improved, and the utilization rate of resources can be improved.
The foregoing shows and describes the general principles, essential features, and advantages of the invention. It will be understood by those skilled in the art that the present invention is not limited to the embodiments described above, which are described in the foregoing description only for the purpose of illustrating the principles of the present invention, but that various changes and modifications may be made therein without departing from the spirit and scope of the invention as defined by the appended claims, specification, and equivalents thereof.
Claims (8)
1. An industrial Internet of things service method based on QoS drive is characterized by comprising the following steps:
receiving an industrial internet service request sent by an industrial internet service demand party;
constructing a multi-index cooperative service adaptation model taking response time, availability, throughput and credibility as evaluation indexes based on the received industrial internet service request;
screening out a corresponding service provider from optional service providers by adopting the constructed multi-index collaborative service adaptation model to form an optimal service combination for processing the industrial internet service request;
based on the cooperation degree evaluation information of the service provider in the completed industrial internet of things service processing, filtering the non-trusted service provider from the service provider, specifically comprising: acquiring information of all service providers in the service combination of which the processing is finished; traversing all service providers in the service combination to obtain the traversed current service provider; respectively acquiring information of cooperation degree evaluation of other service providers in the service combination on the current service provider in the process of processing the finished industrial Internet of things service; respectively calculating the comprehensive evaluation values of other service providers in the service combination to the current service provider based on the acquired cooperation degree evaluation information, and generating a comprehensive evaluation set of the current service provider; calculating a comprehensive evaluation average value and a comprehensive evaluation standard deviation of the current service provider based on the comprehensive evaluation set of the service provider; respectively calculating the difference between each comprehensive evaluation value in the comprehensive evaluation set and the comprehensive evaluation average value of the current service provider, and generating an evaluation deviation set corresponding to the current service provider; when the calculated comprehensive evaluation standard deviation is smaller than a preset standard deviation threshold value, increasing the number of doubtful times of other service providers corresponding to a preset number of evaluation deviation amounts with larger values in the evaluation deviation amount set by a preset value; when the calculated comprehensive evaluation standard deviation is greater than or equal to the standard deviation threshold and the evaluation deviation set has a deviation greater than the corresponding invalid evaluation threshold, increasing the number of doubts of other service providers corresponding to the deviation greater than the corresponding invalid evaluation threshold by the numerical value; acquiring a next service provider in the service combination as a current service provider until all service providers in the service combination are completely traversed; acquiring information of the number of doubts and the number of evaluations of each service provider in the service combination; calculating and obtaining the suspicion rate of the corresponding service provider based on the acquired suspicion times and evaluation times of the service provider; when the doubtful rate and the evaluation times obtained by calculation are both larger than the corresponding threshold values, the corresponding service provider is used as an untrusted service provider for filtering;
and processing the industrial Internet service request by adopting the optimal service combination.
2. The QoS-driven-based industrial Internet of things service method according to claim 1, wherein the constructed multi-index collaborative service adaptation model is as follows:
and the corresponding constraint conditions are as follows:
wherein QoS represents the multi-index collaborative service adaptation model, Re represents the maximum response time acceptable by the industrial Internet service, RiRepresents a response time of an ith sub-service constituting the industrial Internet service, A represents an availability acceptable to the industrial Internet service, AiIndicating the availability of the ith sub-service constituting the industrial internet service, Th indicating the minimum network throughput acceptable by the industrial internet service, ThiRepresenting a network throughput representing an ith sub-service constituting the industrial internet service, T representing a minimum confidence level that the industrial internet service is acceptable, TiAnd n represents the number of sub-services constituting the industrial internet service.
3. The QoS-driven-based industrial Internet of things service method as claimed in claim 1, wherein the comprehensive evaluation value of the service provider is calculated by adopting the following formula:
and:
wherein E isiIndicates a composite rating value, Q, for the ith service providerj,iDenotes the evaluation value of the jth service provider to the ith service provider, Ti(T) represents the individual reputation of the ith service provider at time T, Ti(t- Δ t) represents the personal reputation of the ith service provider at time (t- Δ t).
4. The QoS-driven-based industrial Internet of things service method as claimed in claim 1, wherein the invalid evaluation threshold is calculated based on the corresponding comprehensive evaluation standard deviation.
5. The QoS-driven-based industrial Internet of things service method according to claim 1, wherein the invalid evaluation threshold value is calculated by adopting the following formula:
wherein, H (σ)i) Indicates the invalid evaluation threshold value, sigma, corresponding to the ith service provideriIndicating the invalid evaluation threshold corresponding to the ith service provider.
6. The QoS-driven-based industrial Internet of things service method as claimed in claim 1, wherein the suspicion rate of the corresponding service provider is calculated by adopting the following formula:
wherein, MPiIndicates the suspicion rate of the ith service provider, MiTotal number of doubts of ith service provider, CiIndicating the total number of times the ith service provider was evaluated.
7. A computer readable storage medium having stored thereon computer instructions, wherein the computer instructions when executed perform the steps of the QoS-driven industrial internet of things based service method according to any one of claims 1 to 6.
8. A terminal, comprising a memory and a processor, wherein the memory stores computer instructions capable of running on the processor, and the processor executes the computer instructions to perform the steps of the QoS-driven based industrial internet of things service method according to any one of claims 1 to 6.
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