CN112437132B - Service resource sharing method based on cloud computing and digital upgrading and cloud server - Google Patents
Service resource sharing method based on cloud computing and digital upgrading and cloud server Download PDFInfo
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- CN112437132B CN112437132B CN202011251105.6A CN202011251105A CN112437132B CN 112437132 B CN112437132 B CN 112437132B CN 202011251105 A CN202011251105 A CN 202011251105A CN 112437132 B CN112437132 B CN 112437132B
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Abstract
The invention relates to a service resource sharing method based on cloud computing and digital upgrading and a cloud server, which can analyze and evaluate a service project processing record and a service resource using record of a current intelligent service terminal based on a service evaluation index detection condition, thereby realizing the adjustment of a target event record, and thus adjusting the event record of the current intelligent service terminal to avoid the current intelligent service terminal from occupying more service resources. The service resource to be shared corresponding to the current intelligent service terminal is determined through the service resource distribution information and the service reservation request queue of the current intelligent service terminal, and the service resource to be shared in a sharing state can be ensured not to influence the normal service handling of the current intelligent service terminal, so that frequent error reporting of the current intelligent service terminal is avoided, further balance is sought between the service handling efficiency of the current intelligent service terminal and the service resource sharing, and the overall service handling efficiency is improved.
Description
Technical Field
The application relates to the technical field of cloud computing, digital upgrading and sharing economy, in particular to a service resource sharing method and a cloud server based on cloud computing and digital upgrading.
Background
With the development of cloud computing, a lot of current businesses can be transacted online, and the business transaction efficiency is greatly improved. In recent years, with the digital transformation and digital upgrade of society, the types and the number of service processes faced by service terminals are increased dramatically, which brings great processing pressure to the service terminals, and further may cause the service backlog of the service terminals.
To improve this problem, it is now possible to reduce the processing pressure of the service terminal by a service resource sharing method. However, when service resource sharing is performed, the service terminal often has an operation error reporting problem.
Disclosure of Invention
The first aspect of the application discloses a business resource sharing method based on cloud computing and digital upgrading, which comprises the following steps:
determining service evaluation index detection conditions respectively corresponding to a service project processing record and a service resource usage record of a current intelligent service terminal;
inquiring whether a target event record with service evaluation indexes which do not meet corresponding service evaluation index detection conditions exists in a service project processing record and a service resource use record of the current intelligent service terminal; determining a record adjusting thread for adjusting the target event record according to the query result, and adjusting the target event record into an event record meeting the corresponding service evaluation index detection condition based on the record adjusting thread;
determining service resource distribution information of the current intelligent service terminal based on event records except the target event record in the service project processing record and the service resource use record of the current intelligent service terminal and the adjusted target event record;
and determining the service resources to be shared corresponding to the current intelligent service terminal according to the service resource distribution information and the service reservation request queue of the current intelligent service terminal, and sharing the service resources to be shared.
Preferably, the determining, according to the query result, a record adjustment thread for adjusting the target event record, and adjusting the target event record to an event record meeting a corresponding service evaluation index detection condition based on the record adjustment thread, includes:
if the service project processing record of the current intelligent service terminal does not meet the corresponding first service evaluation index detection condition and the service resource usage record of the current intelligent service terminal does not meet the corresponding second service evaluation index detection condition, determining a record adjustment thread for adjusting the service project processing record and the service resource usage record as a first preset thread, and respectively adjusting the service project processing record and the service resource usage record as event records meeting the corresponding service evaluation index detection condition based on the determined record adjustment thread;
if the service resource usage record of the current intelligent service terminal is a target event record which does not meet the corresponding second service evaluation index detection condition, or the service project processing record of the current intelligent service terminal is a target event record which does not meet the corresponding first service evaluation index detection condition, determining that a record adjusting thread for adjusting the target event record is a second preset thread or a third preset thread, and adjusting the target event record to an event record which meets the corresponding service evaluation index detection condition based on the determined record adjusting thread;
the first service evaluation index detection condition and the second service evaluation index detection condition have different respective corresponding set participation degrees.
Preferably, the determining the service resource distribution information of the current intelligent service terminal based on the event record except for the target event record in the service item processing record and the service resource usage record of the current intelligent service terminal and the adjusted target event record includes:
extracting service event resource characteristics based on event records except the target event record in the service project processing record and the service resource using record of the current intelligent service terminal and the adjusted target event record to obtain a plurality of service resource information sets; and clustering the service resource information sets to obtain the service resource distribution information of the current intelligent service terminal.
Preferably, the current intelligent service terminal is an interactive terminal or an artificial intelligent terminal, the first preset thread is a dynamic timing adjustment thread, and the adjusting the service project processing record and the service resource usage record to event records meeting corresponding service evaluation index detection conditions based on the determined record adjustment thread includes:
if the service item processing record of the current intelligent service terminal does not meet the corresponding first service evaluation index detection condition and the service resource usage record of the current intelligent service terminal does not meet the corresponding second service evaluation index detection condition, taking a dynamic time sequence adjustment thread as a record adjustment thread, adjusting the service item processing record of the current intelligent service terminal to obtain a sub-service item processing record corresponding to the service item processing record on each dynamic time sequence adjustment thread, taking the dynamic time sequence adjustment thread as a record adjustment thread, adjusting the service resource usage record of the current intelligent service terminal to obtain a sub-service resource usage record corresponding to the service resource usage record on each dynamic time sequence adjustment thread;
the extracting of the service event resource characteristics is carried out on the basis of event records except the target event record and the adjusted target event record in the service project processing record and the service resource using record of the current intelligent service terminal to obtain a plurality of service resource information sets, and the extracting comprises the following steps: respectively extracting service event resource characteristics from the sub-service project processing record and the sub-service resource use record corresponding to each dynamic timing sequence adjustment thread to obtain a plurality of service resource information sets;
the clustering the plurality of service resource information sets to obtain service resource distribution information of the current intelligent service terminal includes: and clustering the plurality of service resource information sets according to the feature dimension degrees and the feature priority corresponding to the time sequence features to obtain the service resource distribution information of the current intelligent service terminal.
Preferably, the third preset thread is an event attribute adjusting thread, the second preset thread is an event tag adjusting thread and a static timing adjusting thread, and the adjusting the target event record into the event record meeting the corresponding service evaluation index detection condition based on the determined record adjusting thread includes:
if the service resource usage record of the current intelligent service terminal is a target event record which does not meet the corresponding second service evaluation index detection condition, or the service item processing record of the current intelligent service terminal is a target event record which does not meet the corresponding first service evaluation index detection condition, determining whether the event record adjustment weight of the target event record on the event attribute adjustment thread is greater than the set weight;
if the event record adjusting weight of the target event record on the event attribute adjusting thread is greater than the set weight, taking the event attribute adjusting thread as a record adjusting thread, and adjusting the target event record into an event record meeting the corresponding service evaluation index detection condition;
and if the event record adjusting weight of the target event record on the event attribute adjusting thread is equal to the set weight and the target event record has an event tag adjusting thread and a static time sequence adjusting thread, adjusting the target event record to the event record meeting the corresponding service evaluation index detection condition by taking the event tag adjusting thread and the static time sequence adjusting thread as record adjusting threads.
Preferably, if the event record adjustment weight of the target event record on the event attribute adjustment thread is greater than the set weight, adjusting the target event record to an event record meeting the corresponding service evaluation index detection condition by using the event attribute adjustment thread as a record adjustment thread, includes:
if the event record adjusting weight of the target event record on the event attribute adjusting thread is greater than the set weight, adjusting the target event record by taking the event attribute adjusting thread as a record adjusting thread to obtain a plurality of target event records to be processed;
the extracting of the service event resource characteristics is carried out on the basis of event records except the target event record and the adjusted target event record in the service project processing record and the service resource using record of the current intelligent service terminal to obtain a plurality of service resource information sets, and the extracting comprises the following steps: respectively extracting service event resource characteristics of each target event record to be processed and event records except the target event record in the service project processing record and the service resource use record of the current intelligent service terminal to obtain a service resource information set;
the clustering the plurality of service resource information sets to obtain service resource distribution information of the current intelligent service terminal includes: and clustering the plurality of service resource information sets according to the feature dimension number and the feature priority corresponding to the time sequence feature to obtain the service resource distribution information of the current intelligent service terminal.
Preferably, if the event record adjustment weight of the target event record on the event attribute adjustment thread is equal to the set weight and the target event record has an event tag adjustment thread and a static timing adjustment thread, adjusting the target event record to an event record meeting the corresponding service evaluation index detection condition by using the event tag adjustment thread and the static timing adjustment thread as record adjustment threads, includes:
if the event record adjusting weight of the target event record on the event attribute adjusting thread is equal to the set weight and the target event record has an event tag adjusting thread and a static time sequence adjusting thread, taking the event tag adjusting thread and the static time sequence adjusting thread as record adjusting threads, and adjusting the target event record into a plurality of sub-target event records of which the sharing priority indexes meet the corresponding service evaluation index detection conditions;
the extracting of the service event resource characteristics is carried out on the basis of event records except the target event record and the adjusted target event record in the service project processing record and the service resource using record of the current intelligent service terminal to obtain a plurality of service resource information sets, and the extracting comprises the following steps: for any two sub-target event records with correlation identifications in the target event records, copying the event records with correlation identifications between a first sub-target event record and a second sub-target event record in the sub-target event records with correlation identifications, and configuring the copied event records into the second sub-target event record; performing service event resource feature extraction based on the first sub-target event record, event records except the target event record in the service project processing record and the service resource use record of the current intelligent service terminal and a second sub-target event record configured with the event record to obtain a service resource information set;
the clustering the plurality of service resource information sets to obtain service resource distribution information of the current intelligent service terminal includes: clustering a plurality of service resource information sets according to the feature dimension number and the feature priority corresponding to the time sequence feature to obtain service resource distribution information of the current intelligent service terminal;
wherein, the current intelligent service terminal is an interactive terminal, the target event record is a service project processing record of the interactive terminal, and the copying of the event record with the correlation identifier between the first sub-target event record and the second sub-target event record in the sub-target event records with the correlation identifier comprises:
determining an event record delay value of a second sub-target event record relative to a first sub-target event record in the sub-target event records with the correlation identification;
if the event record delay value is a first set delay value or a second set delay value, determining a first quantity difference value between the number of terminals to be distributed of a first resource distribution heat value of a service resource use record of the current intelligent service terminal and a preset distribution quantity threshold, and copying event records which have correlation identification with a second sub-target event record and have the number of terminals in an activated state as the first quantity difference value in the first sub-target event record;
and if the event record delay value is a third set delay value or a fourth set delay value, determining a second quantity difference value between the number of terminals to be distributed of a second resource distribution heat value of the service resource use record of the current intelligent service terminal and a preset distribution quantity threshold, and copying the event records which have correlation identification with the second sub-target event record and have the number of the terminals in the activated state as the second quantity difference value in the first sub-target event record.
Preferably, the determining service evaluation index detection conditions corresponding to the service item processing record and the service resource usage record of the current intelligent service terminal respectively includes:
determining a terminal configuration type of a current intelligent service terminal;
and determining a first service evaluation index detection condition corresponding to the service item processing record of the current intelligent service terminal and a second service evaluation index detection condition corresponding to the service resource usage record of the current intelligent service terminal based on the preset corresponding relationship among the terminal configuration type, the service evaluation index of the service item processing record, the service evaluation index of the service resource usage record, the service evaluation index detection condition corresponding to the service item processing record and the service evaluation index detection condition corresponding to the service resource usage record of the service item processing record of the current intelligent service terminal, the terminal configuration type of the current intelligent service terminal, the service evaluation index of the service item processing record of the current intelligent service terminal and the service evaluation index of the service resource usage record of the current intelligent service terminal.
Preferably, determining a service resource to be shared corresponding to the current intelligent service terminal according to the service resource distribution information and the service reservation request queue of the current intelligent service terminal, and sharing the service resource to be shared, includes:
acquiring a target service resource containing a service resource modification identifier based on the information clustering result of the service resource distribution information and the reservation request attribute information of the service reservation request queue of the current intelligent service terminal;
classifying the resource data packets of the target service resources into static resource data packets and dynamic resource data packets; marking the static resource data packet as a resource data packet to be processed;
in the dynamic resource data packet, marking the resource data packet with the same identification category as the service resource modification identification as the resource data packet to be processed;
performing resource data analysis on the resource data packet to be processed in the target service resource to obtain a resource calling analysis result corresponding to the operation error reporting rate of the current intelligent service terminal; the static resource data packet and the sharable service resource meet corresponding first calling frequency conditions; the dynamic resource data packet is a resource data packet which does not meet the corresponding first calling frequency condition with the sharable service resource; the sharable service resource is a resource data packet of which the service resource modification weight is greater than the set modification weight in the target service resource;
determining a service resource to be shared corresponding to the current intelligent service terminal based on the resource calling analysis result, and sharing the service resource to be shared;
the classifying the resource data packet of the target service resource into a static resource data packet and a dynamic resource data packet includes: determining the identifier updating frequency of the service resource modification identifier in the target service resource; taking the resource data packet in the target service resource, which is consistent with the identifier updating frequency, as a resource data packet to be classified; determining the first calling frequency condition corresponding to the resource data packet to be classified; classifying the resource data packet to be classified into the static resource data packet or the dynamic resource data packet based on the first calling frequency condition;
classifying the resource data packet to be classified into the static resource data packet or the dynamic resource data packet based on the first call frequency condition includes: judging whether the resource data packet to be classified has the sharable service resource or not based on the first calling frequency condition; if so, classifying the resource data packet to be classified into the static resource data packet; if not, classifying the resource data packet to be classified into the dynamic resource data packet; or, the sharable service resource in the target service resource is used as a target sharable service resource; classifying the resource data packet to be classified corresponding to the target sharable service resource and the first calling frequency condition into the static resource data packet; classifying the remaining resource data packets to be classified into the dynamic resource data packets;
classifying the resource data packet to be classified into the static resource data packet or the dynamic resource data packet based on the first call frequency condition includes: judging whether the resource data packet to be classified has hot resource data with the same hot label with the target service resource, if so, executing the step of classifying the resource data packet to be classified into the static resource data packet or the dynamic resource data packet based on the first calling frequency condition, and if not, directly classifying the resource data packet to be classified into the dynamic resource data packet;
in the dynamic resource packet, marking a resource packet having the same identification category as the service resource modification identification as the resource packet to be processed includes: determining a second calling frequency condition corresponding to the dynamic resource data packet; determining a maximum calling frequency within the second calling frequency condition; judging whether the maximum calling frequency is matched with the resource data packet to be processed or not; if the maximum calling frequency is matched with the resource data packet to be processed, determining effective matching duration between the maximum calling frequency and the dynamic resource data packet, judging whether the service resource modification weight of the effective matching duration is smaller than the service resource modification weight of the dynamic resource data packet, and if the service resource modification weight of the effective matching duration is larger than or equal to the service resource modification weight of the dynamic resource data packet, marking the dynamic resource data packet as the resource data packet to be processed.
A second aspect of the present application discloses a cloud server, comprising a processing engine, a network module, and a memory; the processing engine and the memory communicate via the network module, and the processing engine reads the computer program from the memory and runs the computer program to perform the method of the first aspect.
Compared with the prior art, the service resource sharing method and the cloud server based on cloud computing and digital upgrading provided by the embodiment of the invention have the following technical effects:
the service item processing record and the service resource using record of the current intelligent service terminal can be analyzed and evaluated based on the service evaluation index detection condition, so that the target event record can be adjusted, and the event record of the current intelligent service terminal can be adjusted to avoid the current intelligent service terminal from occupying more service resources. The method comprises the steps of determining the service resources to be shared corresponding to the current intelligent service terminal through service resource distribution information and a service reservation request queue of the current intelligent service terminal, and ensuring that the service resources to be shared in a shared state cannot influence normal service handling of the current intelligent service terminal, so that frequent error reporting of the current intelligent service terminal is avoided, and further balance is sought between service handling efficiency of the current intelligent service terminal and service resource sharing. Therefore, the service resource sharing is realized, the normal service handling of the current intelligent service terminal is not influenced, and the global service handling efficiency is improved.
In the description that follows, additional features will be set forth, in part, in the description. These features will be in part apparent to those skilled in the art upon examination of the following and the accompanying drawings, or may be learned by production or use. The features of the present application may be realized and attained by practice or use of various aspects of the methodologies, instrumentalities and combinations particularly pointed out in the detailed examples that follow.
Drawings
In order to more clearly illustrate the technical solutions of the embodiments of the present invention, the drawings needed to be used in the embodiments will be briefly described below, it should be understood that the following drawings only illustrate some embodiments of the present invention and therefore should not be considered as limiting the scope, and for those skilled in the art, other related drawings can be obtained according to the drawings without inventive efforts.
The methods, systems, and/or processes of the figures are further described in accordance with the exemplary embodiments. These exemplary embodiments will be described in detail with reference to the drawings. These exemplary embodiments are non-limiting exemplary embodiments in which reference numerals represent similar mechanisms throughout the various views of the drawings.
FIG. 1 is a block diagram of an exemplary cloud computing and digital upgrade based business resource sharing system, according to some embodiments of the invention.
Fig. 2 is a schematic diagram of hardware and software components in an exemplary cloud server, according to some embodiments of the invention.
Fig. 3 is a flow diagram illustrating an exemplary cloud computing and digital upgrade based business resource sharing method and/or process according to some embodiments of the invention.
Fig. 4 is a block diagram of an exemplary cloud computing and digital upgrade based business resource sharing arrangement, according to some embodiments of the present invention.
Detailed Description
The inventor has conducted research and analysis on the problem of error reporting in operation, which often occurs when a service terminal performs resource sharing, and has found that when a current service terminal performs service resource sharing, service resources (such as files, data, and related information) being used by the current service terminal may be shared, and when the service resources are used by other service terminals, the service resources may be modified by other service terminals, so that errors occur in normal service handling of the current service terminal, and if the errors are that the current service terminal cannot be repaired by itself, the errors are frequently reported by the current service terminal, so that normal service handling is affected, and the service handling efficiency is reduced instead.
Therefore, the embodiment of the invention provides a service resource sharing method and a cloud server based on cloud computing and digital upgrading, which can ensure that the service resources to be shared in a shared state do not influence the normal service handling of the current intelligent service terminal, thereby avoiding frequent error reporting of the current intelligent service terminal, and further seeking balance between the service handling efficiency of the current intelligent service terminal and the service resource sharing.
In order to better understand the technical solutions of the present invention, the following detailed descriptions of the technical solutions of the present invention are provided with the accompanying drawings and the specific embodiments, and it should be understood that the specific features in the embodiments and the examples of the present invention are the detailed descriptions of the technical solutions of the present invention, and are not limitations of the technical solutions of the present invention, and the technical features in the embodiments and the examples of the present invention may be combined with each other without conflict.
In the following detailed description, numerous specific details are set forth by way of examples in order to provide a thorough understanding of the relevant guidance. It will be apparent, however, to one skilled in the art that the present invention may be practiced without these specific details. In other instances, well-known methods, procedures, systems, compositions, and/or circuits have been described at a relatively high-level, without detail, in order to avoid unnecessarily obscuring aspects of the invention.
These and other features, functions, methods of execution, and combination of functions and elements of related elements in the structure and economies of manufacture disclosed in the present application may become more apparent upon consideration of the following description with reference to the accompanying drawings, all of which form a part of this application. It is to be expressly understood, however, that the drawings are for the purpose of illustration and description only and are not intended as a definition of the limits of the application. It should be understood that the drawings are not to scale. It is to be expressly understood, however, that the drawings are for the purpose of illustration and description only and are not intended as a definition of the limits of the invention. It should be understood that the drawings are not to scale.
Flowcharts are used herein to illustrate the implementations performed by systems according to embodiments of the present application. It should be expressly understood that the processes performed by the flowcharts may be performed out of order. Rather, these implementations may be performed in the reverse order or simultaneously. In addition, at least one other implementation may be added to the flowchart. One or more implementations may be deleted from the flowchart.
Fig. 1 is a block diagram illustrating an exemplary cloud computing and digital upgrade based business resource sharing system 300 according to some embodiments of the present invention, where the cloud computing and digital upgrade based business resource sharing system 300 may include a cloud server 100 and a current intelligent business terminal 200.
In some embodiments, as shown in fig. 2, the cloud server 100 may include a processing engine 110, a network module 120, and a memory 130, the processing engine 110 and the memory 130 communicating through the network module 120.
Processing engine 110 may process the relevant information and/or data to perform one or more of the functions described herein. For example, in some embodiments, processing engine 110 may include at least one processing engine (e.g., a single core processing engine or a multi-core processor). By way of example only, the Processing engine 110 may include a Central Processing Unit (CPU), an Application-Specific Integrated Circuit (ASIC), an Application-Specific Instruction Set Processor (ASIP), a Graphics Processing Unit (GPU), a Physical Processing Unit (PPU), a Digital Signal Processor (DSP), a Field Programmable Gate Array (FPGA), a Programmable Logic Device (PLD), a controller, a microcontroller Unit, a Reduced Instruction Set Computer (RISC), a microprocessor, or the like, or any combination thereof.
The Memory 130 may be, but is not limited to, a Random Access Memory (RAM), a Read Only Memory (ROM), a Programmable Read-Only Memory (PROM), an Erasable Read-Only Memory (EPROM), an electrically Erasable Read-Only Memory (EEPROM), and the like. The memory 130 is used for storing a program, and the processing engine 110 executes the program after receiving the execution instruction.
It is to be understood that the configuration shown in fig. 2 is merely illustrative, and that cloud server 100 may include more or fewer components than shown in fig. 2, or have a different configuration than shown in fig. 2. The components shown in fig. 2 may be implemented in hardware, software, or a combination thereof.
Fig. 3 is a flowchart illustrating an exemplary cloud computing and digital upgrade based business resource sharing method and/or process according to some embodiments of the present invention, where the cloud computing and digital upgrade based business resource sharing method is applied to the cloud computing server 100 in fig. 1, and may specifically include the contents described in the following steps S31 to S34.
And step S31, determining service evaluation index detection conditions corresponding to the service project processing record and the service resource usage record of the current intelligent service terminal respectively.
For example, current intelligent business terminals may be tablet computers, notebook computers, laptop computers, and the like. The business project processing record is a processing record of a previous business project stored by the current intelligent business terminal, and the business project comprises government-enterprise business, personal business and the like. The service resource usage record is used for recording information corresponding to the service resources used by the current intelligent service terminal when the service project processing is performed. The service evaluation index detection condition is used for detecting a service evaluation index level of the service project processing record and the service resource use record, the service evaluation index can be understood as the participation degree of the current intelligent service terminal in service project processing, and the higher the participation degree is, the less the shared resources required by the current intelligent service terminal when the current intelligent service terminal completes the service project is.
Step S32, inquiring whether a target event record exists in the service project processing record and the service resource using record of the current intelligent service terminal, wherein the service evaluation index does not meet the corresponding service evaluation index detection condition; and determining a record adjusting thread for adjusting the target event record according to the query result, and adjusting the target event record into the event record meeting the corresponding service evaluation index detection condition based on the record adjusting thread.
For example, the fact that the service evaluation index does not satisfy the service evaluation index detection condition may be understood as: the participation degree of the current intelligent service terminal recorded in the target event record when performing corresponding service item processing is lower than the set participation degree, that is, the target event record is used for representing that the current intelligent service terminal requests more shared resources when performing service item processing. The record adjustment thread may be a preconfigured artificial intelligence model, and is used to adjust and optimize the service item processing logic corresponding to the target event record, and the adjusted target event record is used to represent that the current intelligent service terminal can request less shared resources when performing service item processing. It should be understood that the adjusted target event record is not executed by the current intelligent service terminal.
Step S33, determining service resource distribution information of the current intelligent service terminal based on the event record in the service project processing record and the service resource usage record of the current intelligent service terminal except for the target event record and the adjusted target event record.
For example, the service resource distribution information is used to represent classification information of service resources corresponding to the current intelligent service terminal, the classes of the service resources are various, and different classes of service resources correspond to different self-recovery threads.
Step S34, determining a service resource to be shared corresponding to the current intelligent service terminal according to the service resource distribution information and the service reservation request queue of the current intelligent service terminal, and sharing the service resource to be shared.
For example, the service reservation request queue is used to record different service reservation requests, which may be of the current intelligent service terminal or of other intelligent service terminals. The service resources to be shared are service resources which do not affect the normal service project processing of the current intelligent service terminal.
In practical application, by executing the contents of the above steps S31-S34, according to whether there is a query result of a target event record in which a service evaluation index does not satisfy a corresponding service evaluation index detection condition in a service item processing record and a service resource usage record of a current intelligent service terminal, a record adjustment thread for adjusting the target event record is determined and the target event record is adjusted to an event record satisfying the corresponding service evaluation index detection condition, further based on event records except the target event record and the adjusted target event record in the service item processing record and the service resource usage record of the current intelligent service terminal, service resource distribution information of the current intelligent service terminal is determined, and finally, according to the service resource distribution information and a service reservation request queue of the current intelligent service terminal, and determining the service resources to be shared corresponding to the current intelligent service terminal, and sharing the service resources to be shared.
Therefore, the service project processing record and the service resource using record of the current intelligent service terminal can be analyzed and evaluated based on the service evaluation index detection condition, so that the target event record can be adjusted, and the event record of the current intelligent service terminal can be adjusted to avoid the current intelligent service terminal from occupying more service resources. The method comprises the steps of determining the service resources to be shared corresponding to the current intelligent service terminal through service resource distribution information and a service reservation request queue of the current intelligent service terminal, and ensuring that the service resources to be shared in a shared state cannot influence normal service handling of the current intelligent service terminal, so that frequent error reporting of the current intelligent service terminal is avoided, and further balance is sought between service handling efficiency of the current intelligent service terminal and service resource sharing. Therefore, the service resource sharing is realized, the normal service handling of the current intelligent service terminal is not influenced, and the global service handling efficiency is improved.
In some examples, the determining, according to the query result, a record adjustment thread for adjusting the target event record in step S32, and adjusting the target event record to an event record meeting the corresponding service evaluation index detection condition based on the record adjustment thread may further include the following steps S321 and S322.
Step S321, if the service item processing record of the current intelligent service terminal does not satisfy the corresponding first service evaluation index detection condition and the service resource usage record of the current intelligent service terminal does not satisfy the corresponding second service evaluation index detection condition, determining that a record adjustment thread for adjusting the service item processing record and the service resource usage record is a first preset thread, and respectively adjusting the service item processing record and the service resource usage record to event records satisfying the corresponding service evaluation index detection condition based on the determined record adjustment thread.
Step S322, if the service resource usage record of the current intelligent service terminal is a target event record that does not satisfy the corresponding second service evaluation index detection condition, or the service item processing record of the current intelligent service terminal is a target event record that does not satisfy the corresponding first service evaluation index detection condition, determining that a record adjustment thread for adjusting the target event record is a second preset thread or a third preset thread, and adjusting the target event record to an event record that satisfies the corresponding service evaluation index detection condition based on the determined record adjustment thread.
For example, the first business evaluation index detection condition and the second business evaluation index detection condition have different respective setting participation degrees.
In this way, based on the above steps S321 and S322, the business item processing record and the business resource usage record can be detected according to the set participation degrees corresponding to different business evaluation index detection conditions, so that the record adjustment thread is determined based on different preset threads, thereby realizing adjustment of different target event records and avoiding deviation in the adjustment process.
In some examples, the determining of the service resource distribution information of the current intelligent service terminal based on the service item processing record of the current intelligent service terminal and the event record except for the target event record in the service resource usage record and the adjusted target event record described in step S33 may be implemented by following the contents described in step S331 and step S332.
Step S331, based on the event records except the target event record in the service project processing record and the service resource usage record of the current intelligent service terminal and the adjusted target event record, performing service event resource feature extraction to obtain a plurality of service resource information sets.
Step S332, clustering the service resource information sets to obtain service resource distribution information of the current intelligent service terminal.
It can be understood that, by performing the above steps S331 and S332, the service resource distribution information of the current intelligent service terminal can be completely determined based on the clustering result of the plurality of service resource information sets.
In the actual application process, the current intelligent service terminal is an interactive terminal or an artificial intelligent terminal, and the first preset thread is a dynamic timing adjustment thread. On this basis, the adjusting the business item processing record and the business resource usage record to the event record meeting the corresponding business evaluation index detection condition based on the determined record adjusting thread described in step S321 includes: if the service item processing record of the current intelligent service terminal does not meet the corresponding first service evaluation index detection condition and the service resource usage record of the current intelligent service terminal does not meet the corresponding second service evaluation index detection condition, taking a dynamic time sequence adjustment thread as a record adjustment thread, adjusting the service item processing record of the current intelligent service terminal to obtain a sub-service item processing record corresponding to the service item processing record on each dynamic time sequence adjustment thread, taking the dynamic time sequence adjustment thread as a record adjustment thread, adjusting the service resource usage record of the current intelligent service terminal to obtain a sub-service resource usage record corresponding to the service resource usage record on each dynamic time sequence adjustment thread.
Further, the step S331, based on the event record except for the target event record and the adjusted target event record in the service item processing record and the service resource usage record of the current intelligent service terminal, performs service event resource feature extraction to obtain a plurality of service resource information sets, including: and respectively extracting the service event resource characteristics of the sub-service project processing record and the sub-service resource using record corresponding to each dynamic time sequence adjustment thread to obtain a plurality of service resource information sets.
Further, in step S332, clustering the multiple service resource information sets to obtain service resource distribution information of the current intelligent service terminal, including: and clustering the plurality of service resource information sets according to the feature dimension degrees and the feature priority corresponding to the time sequence features to obtain the service resource distribution information of the current intelligent service terminal.
In some examples, the third predetermined thread is an event attribute adjustment thread, and the second predetermined thread is an event tag adjustment thread and a static timing adjustment thread. On this basis, the adjusting of the target event record to an event record satisfying the corresponding service evaluation index detection condition based on the determined record adjusting thread described in step S322 may include the following contents described in step S3221 to step S3223.
Step S3221, if the service resource usage record of the current intelligent service terminal is a target event record that does not satisfy the corresponding second service evaluation index detection condition, or the service item processing record of the current intelligent service terminal is a target event record that does not satisfy the corresponding first service evaluation index detection condition, determining whether an event record adjustment weight of the target event record on the event attribute adjustment thread is greater than a set weight.
Step S3222, if the event record adjustment weight of the target event record on the event attribute adjustment thread is greater than the set weight, taking the event attribute adjustment thread as a record adjustment thread, and adjusting the target event record to an event record meeting the corresponding service evaluation index detection condition.
Step S3223, if the event record adjustment weight of the target event record on the event attribute adjustment thread is equal to the set weight and the target event record has an event tag adjustment thread and a static timing adjustment thread, taking the event tag adjustment thread and the static timing adjustment thread as record adjustment threads, and adjusting the target event record to an event record meeting the corresponding service evaluation index detection condition.
It can be understood that, by executing the above steps S3221 to S3223, the target event record can be adjusted based on the magnitude relationship between the event record adjustment weight and the setting weight, and the event tag adjustment thread and the static timing adjustment thread. Therefore, the service resources of the current intelligent service terminal can be released as far as possible on the premise of not influencing the original service processing process of the current intelligent service terminal as far as possible.
On the basis, if the event record adjustment weight of the target event record on the event attribute adjustment thread is greater than the set weight, the step S3222 uses the event attribute adjustment thread as a record adjustment thread to adjust the target event record into an event record meeting the corresponding service evaluation index detection condition, including: and if the event record adjusting weight of the target event record on the event attribute adjusting thread is greater than the set weight, adjusting the target event record by taking the event attribute adjusting thread as a record adjusting thread to obtain a plurality of target event records to be processed.
On the basis of the above, the extracting of the service event resource features based on the event records except the target event record and the adjusted target event record in the service item processing record and the service resource usage record of the current intelligent service terminal and described in step S331, to obtain a plurality of service resource information sets, includes: and respectively extracting the service event resource characteristics of each target event record to be processed and the event records except the target event record in the service project processing record and the service resource using record of the current intelligent service terminal to obtain a service resource information set.
On the basis, the clustering the multiple service resource information sets to obtain the service resource distribution information of the current intelligent service terminal, which is described in step S332, includes: and clustering the plurality of service resource information sets according to the feature dimension number and the feature priority corresponding to the time sequence feature to obtain the service resource distribution information of the current intelligent service terminal.
Further, the step S3223, if the event record adjustment weight of the target event record on the event attribute adjustment thread is equal to the set weight and the target event record has an event tag adjustment thread and a static timing adjustment thread, taking the event tag adjustment thread and the static timing adjustment thread as record adjustment threads, and adjusting the target event record to an event record meeting the corresponding service evaluation index detection condition, includes: and if the event record adjusting weight of the target event record on the event attribute adjusting thread is equal to the set weight and the target event record has an event tag adjusting thread and a static time sequence adjusting thread, adjusting the target event record into a plurality of sub-target event records of which the sharing priority indexes meet the corresponding service evaluation index detection conditions by using the event tag adjusting thread and the static time sequence adjusting thread as record adjusting threads.
Optionally, the service event resource feature extraction is performed based on the event record except for the target event record and the adjusted target event record in the service item processing record and the service resource usage record of the current intelligent service terminal and described in step S331, so as to obtain a plurality of service resource information sets, which can also be implemented by the following implementation manners: step S331a, for any two sub-target event records with correlation identifiers in the target event records, copying an event record with a correlation identifier between a first sub-target event record and a second sub-target event record in the sub-target event records with correlation identifiers, and configuring the copied event record into the second sub-target event record; step S331b, based on the first sub-target event record, the event record except the target event record in the service project processing record and the service resource usage record of the current intelligent service terminal, and the second sub-target event record configured with the event record, performing service event resource feature extraction to obtain a service resource information set.
In this way, the copying and configuration of the sub-target event record can be realized based on the correlation identifier, so as to ensure the correlation of the business resources of the obtained business resource information set.
Further, the step S332 of clustering the service resource information sets to obtain service resource distribution information of the current intelligent service terminal includes: and clustering the plurality of service resource information sets according to the feature dimension number and the feature priority corresponding to the time sequence feature to obtain the service resource distribution information of the current intelligent service terminal.
In some possible examples, the current intelligent service terminal is an interactive terminal, and the target event record is a service item processing record of the interactive terminal. On this basis, the copying of the event record with the existence correlation identifier of the second sub-target event record in the first sub-target event record in the sub-target event records with the existence correlation identifier described in step S331a may include the following steps S331a 1-S331 a 3.
Step S331a1, determining an event record delay value of a second sub-target event record relative to the first sub-target event record in the sub-target event records with the correlation identifier.
Step S331a2, if the event record delay value is the first set delay value or the second set delay value, determining a first quantity difference between the number of terminals to be allocated of the first resource allocation heat value of the service resource usage record of the current intelligent service terminal and a preset allocation quantity threshold, and copying, in the first sub-target event record, the event record which has the correlation identifier with the second sub-target event record and is in the activated state, and whose number of terminals is the first quantity difference.
Step S331a3, if the event record delay value is the third set delay value or the fourth set delay value, determining a second quantity difference between the number of terminals to be allocated of the second resource allocation heat value of the service resource usage record of the current intelligent service terminal and a preset allocation quantity threshold, and copying, in the first sub-target event record, the event record which has the correlation identifier with the second sub-target event record and has the number of terminals in the activated state as the second quantity difference.
By adopting the design, the event record delay values among different sub-target event records can be taken into consideration by applying the steps S331a 1-S331 a3, and the comprehensive consideration is carried out by combining the resource allocation heat value and the number of terminals in the activated state, so that the accurate copying of the different sub-target event records can be realized, and the influence on normal business processing in the copying process is avoided.
In some examples, the service evaluation index detection condition described in step S31 for determining the service item processing record and the service resource usage record of the current intelligent service terminal respectively may include the following contents described in step S311 and step S312.
Step S311, determining the terminal configuration type of the current intelligent service terminal.
Step S312, determining a first service evaluation index detection condition corresponding to the service item processing record of the current intelligent service terminal and a second service evaluation index detection condition corresponding to the service resource usage record of the current intelligent service terminal based on a preset correspondence between the terminal configuration type, the service evaluation index of the service item processing record, the service evaluation index of the service resource usage record, the service evaluation index detection condition corresponding to the service item processing record and the service evaluation index detection condition corresponding to the service resource usage record of the service item processing record, and the terminal configuration type of the current intelligent service terminal, the service evaluation index of the current intelligent service terminal and the service evaluation index of the current intelligent service terminal.
In practical application, the inventor finds that, in order to ensure the maximization of the resource scale of the service resources to be shared and ensure that the normal service processing of the current intelligent service terminal is not affected when the service resources to be shared are shared, the calling frequency of the service resources needs to be considered. To achieve this, the determining, according to the service resource distribution information and the service reservation request queue of the current intelligent service terminal, of step S34, a service resource to be shared corresponding to the current intelligent service terminal, and sharing the service resource to be shared may include the contents described in steps S341 to S345.
Step S341, obtaining the target service resource containing the service resource modification identifier based on the information clustering result of the service resource distribution information and the reservation request attribute information of the service reservation request queue of the current intelligent service terminal.
Step S342, classifying the resource data packet of the target service resource into a static resource data packet and a dynamic resource data packet; and marking the static resource data packet as a resource data packet to be processed.
Step S343, in the dynamic resource packet, marking the resource packet having the same identifier category as the service resource modification identifier as the to-be-processed resource packet.
Step S344, performing resource data analysis on the resource data packet to be processed in the target service resource to obtain a resource calling analysis result corresponding to the operation error reporting rate of the current intelligent service terminal; the static resource data packet and the sharable service resource meet corresponding first calling frequency conditions; the dynamic resource data packet is a resource data packet which does not meet the corresponding first calling frequency condition with the sharable service resource; the sharable service resource is a resource data packet of which the service resource modification weight is greater than the set modification weight in the target service resource.
Step S345, determining the service resource to be shared corresponding to the current intelligent service terminal based on the resource calling analysis result, and sharing the service resource to be shared.
In this way, by implementing the above steps S341 to S345, the calling frequency of the service resource can be taken into consideration, so as to ensure that the resource scale of the service resource to be shared is maximized and that the normal service processing of the current intelligent service terminal is not affected when the service resource to be shared is shared.
Further, the classifying the resource data packet of the target service resource into a static resource data packet and a dynamic resource data packet in step S342 includes: step S3421, determining the identifier updating frequency of the service resource modification identifier in the target service resource; taking the resource data packet in the target service resource, which is consistent with the identifier updating frequency, as a resource data packet to be classified; step S3422, determining the first calling frequency condition corresponding to the resource data packet to be classified; step S3423, classify the resource data packet to be classified into the static resource data packet or the dynamic resource data packet based on the first call frequency condition.
Further, in step S3423, classifying the resource data packet to be classified into the static resource data packet or the dynamic resource data packet based on the first call frequency condition may be implemented by the following two implementation manners.
In a first embodiment, whether the sharable service resource exists in the resource packet to be classified is determined based on the first call frequency condition; if so, classifying the resource data packet to be classified into the static resource data packet; if not, classifying the resource data packet to be classified into the dynamic resource data packet; or, the sharable service resource in the target service resource is used as a target sharable service resource; classifying the resource data packet to be classified corresponding to the target sharable service resource and the first calling frequency condition into the static resource data packet; classifying the remaining resource data packets to be classified into the dynamic resource data packets
In a second embodiment, it is determined whether the resource packet to be classified has hot resource data with the same hot label as the target service resource, if so, the step of classifying the resource packet to be classified into the static resource packet or the dynamic resource packet based on the first call frequency condition is performed, and if not, the resource packet to be classified is directly classified into the dynamic resource packet.
It can be understood that, through the two above-mentioned implementation manners of classifying the resource data packet to be classified into the static resource data packet or the dynamic resource data packet, the classification of the resource data packet to be classified is flexibly implemented.
Further, in step S343, in the dynamic resource packet, the resource packet having the same identification category as that of the service resource modification identification is marked as the resource packet to be processed, which may include the contents described in the following steps S3431 to S3433.
Step S3431, determining a second call frequency condition corresponding to the dynamic resource packet; determining a maximum call frequency within the second call frequency condition.
Step S3432, determine whether the maximum calling frequency matches the resource packet to be processed.
Step S3433, if the maximum calling frequency is matched with the to-be-processed resource packet, determining an effective matching duration between the maximum calling frequency and the dynamic resource packet, determining whether a service resource modification weight of the effective matching duration is smaller than a service resource modification weight of the dynamic resource packet, and if the service resource modification weight of the effective matching duration is greater than or equal to the service resource modification weight of the dynamic resource packet, marking the dynamic resource packet as the to-be-processed resource packet.
In an alternative embodiment, the determining, based on the result of the resource invocation analysis, of the service resource to be shared corresponding to the current intelligent service terminal and sharing the service resource to be shared in step S345 may further include the following contents described in steps S3451 to S3454.
Step S3451, obtaining the evaluation index of the service terminal performance evaluation result in the effective analysis result set in the resource calling analysis result, and determining a plurality of to-be-processed analysis result clusters corresponding to the effective analysis result set according to the evaluation index of the service terminal performance evaluation result.
Step S3452, dividing the performance evaluation results of each service terminal into corresponding clusters of analysis results to be processed according to the performance dimension number of the performance evaluation results of each service terminal in the effective analysis result set.
Step S3453, obtaining the cumulative number of the service terminal performance evaluation results in each cluster of the to-be-processed analysis results, and adjusting the index determination threshold of each cluster of the to-be-processed analysis results on the service terminal delay index and the index determination threshold of the service terminal error reporting index, so that the number difference between the adjusted cumulative number of the service terminal performance evaluation results in each cluster of the to-be-processed analysis results is smaller than the target threshold.
Step S3454, determining the service resources to be shared from the target service resources according to the adjusted service terminal performance evaluation results in each cluster of the analysis results to be processed, and transmitting the service resources to be shared to a set storage space for sharing.
It can be understood that, by executing the above steps S3451 to S3454, the service terminal delay index and the service terminal error reporting index of the current intelligent service terminal when sharing the resource can be taken into consideration, so as to ensure that the normal operation of the current intelligent service terminal is not affected when the service resource to be shared is modified by other terminals.
Further, the step of adjusting the index determination threshold of each to-be-processed analysis result cluster on the service terminal delay index and the index determination threshold on the service terminal error reporting index, which are described in step S3453, so that the quantity difference between the adjusted accumulated quantities of the service terminal performance evaluation results in each to-be-processed analysis result cluster is smaller than the target threshold may include the following steps S3453 a-S3453 c.
Step S3453a, establishing a target numerical matrix according to the number of the to-be-processed analysis result clusters, the index determination threshold of each to-be-processed analysis result cluster on the service terminal delay index, and the index determination threshold of the service terminal error reporting index, where the target numerical matrix includes a plurality of dynamic matrix elements.
Step S3453b, a performance evaluation curve of the service terminal performance evaluation results in the effective analysis result set is established based on the index determination threshold of each dynamic matrix element and the cumulative number of the service terminal performance evaluation results corresponding to the dynamic matrix element, where an abscissa of the performance evaluation curve is the index determination threshold of the dynamic matrix element and an ordinate is the cumulative number of the service terminal performance evaluation results corresponding to the dynamic matrix element.
Step S3453c, according to the correspondence between the abscissa revised value and the ordinate correction value of the pre-stored standard performance evaluation curve, adjusting the index determination threshold of each dynamic matrix element in the performance evaluation curve, so that the number difference between the ordinate correction values corresponding to each adjusted dynamic matrix element is smaller than the target threshold.
In another alternative embodiment, on the basis of the above steps S31-S34, the following steps S35 and S36 may be included.
Step S35, when sharing the service resource to be shared, counting modification operation data for the service resource to be shared, and determining a corresponding execution terminal according to the modification operation data.
And step S36, marking the terminal identifier corresponding to the execution terminal.
It can be understood that, by applying the above steps S35 and S36, the execution terminal that frequently modifies the service resource to be shared can be marked, so as to provide an analysis object for subsequent security and reliability analysis of sharing, and thus all sharing requests of the execution terminal can be intercepted when the execution terminal is determined to be a malicious terminal in the subsequent process
Fig. 4 is a block diagram illustrating an exemplary cloud computing and digital upgrade based business resource sharing device 140 according to some embodiments of the present invention, wherein the cloud computing and digital upgrade based business resource sharing device 140 includes the following functional modules.
The detection condition determining module 141 is configured to determine service evaluation index detection conditions corresponding to the service item processing record and the service resource usage record of the current intelligent service terminal.
The event record adjusting module 142 is configured to query whether a target event record exists in the service item processing record and the service resource usage record of the current intelligent service terminal, where the service evaluation index does not satisfy the corresponding service evaluation index detection condition; and determining a record adjusting thread for adjusting the target event record according to the query result, and adjusting the target event record into the event record meeting the corresponding service evaluation index detection condition based on the record adjusting thread.
And the resource distribution determining module 143 is configured to determine service resource distribution information of the current intelligent service terminal based on the event records in the service project processing record and the service resource usage record of the current intelligent service terminal, except the target event record, and the adjusted target event record.
A service resource sharing module 144, configured to determine, according to the service resource distribution information and the service reservation request queue of the current intelligent service terminal, a service resource to be shared corresponding to the current intelligent service terminal, and share the service resource to be shared.
It will be appreciated that the above description of the apparatus embodiment may be referred to as the description of the method embodiment shown in figure 3.
Based on the same inventive concept, a system embodiment corresponding to the method embodiment shown in fig. 3 is also provided, which is further described as follows.
A1. A service resource sharing system based on cloud computing and digital upgrading is characterized by comprising a cloud server and a current intelligent service terminal which are communicated with each other; wherein the cloud server is configured to:
determining service evaluation index detection conditions respectively corresponding to a service project processing record and a service resource usage record of a current intelligent service terminal;
inquiring whether a target event record with service evaluation indexes which do not meet corresponding service evaluation index detection conditions exists in a service project processing record and a service resource use record of the current intelligent service terminal; determining a record adjusting thread for adjusting the target event record according to the query result, and adjusting the target event record into an event record meeting the corresponding service evaluation index detection condition based on the record adjusting thread;
determining service resource distribution information of the current intelligent service terminal based on event records except the target event record in the service project processing record and the service resource use record of the current intelligent service terminal and the adjusted target event record;
and determining the service resources to be shared corresponding to the current intelligent service terminal according to the service resource distribution information and the service reservation request queue of the current intelligent service terminal, and sharing the service resources to be shared.
Having thus described the basic concept, it will be apparent to those skilled in the art that the foregoing detailed disclosure is to be considered merely illustrative and not restrictive of the broad application. Various modifications, improvements and adaptations to the present application may occur to those skilled in the art, although not explicitly described herein. Such modifications, improvements and adaptations are proposed in the present application and thus fall within the spirit and scope of the exemplary embodiments of the present application.
Also, this application uses specific terminology to describe embodiments of the application. Reference throughout this specification to "one embodiment," "an embodiment," and/or "some embodiments" means that a particular feature, structure, or characteristic described in connection with at least one embodiment of the present application is included in at least one embodiment of the present application. Therefore, it is emphasized and should be appreciated that two or more references to "an embodiment" or "one embodiment" or "an alternative embodiment" in various portions of this specification are not necessarily all referring to the same embodiment. Furthermore, some features, structures, or characteristics of at least one embodiment of the present application may be combined as appropriate.
In addition, those skilled in the art will recognize that the various aspects of the application may be illustrated and described in terms of several patentable species or contexts, including any new and useful combination of procedures, machines, articles, or materials, or any new and useful modifications thereof. Accordingly, various aspects of the present application may be embodied entirely in hardware, entirely in software (including firmware, resident software, micro-code, etc.) or in a combination of hardware and software. The above hardware or software may be referred to as a "unit", "component", or "system". Furthermore, aspects of the present application may be represented as a computer product, including computer readable program code, embodied in at least one computer readable medium.
A computer readable signal medium may comprise a propagated data signal with computer program code embodied therein, for example, on a baseband or as part of a carrier wave. The propagated signal may take any of a variety of forms, including electromagnetic, optical, and the like, or any suitable combination. A computer readable signal medium may be any computer readable medium that is not a computer readable storage medium and that can communicate, propagate, or transport a program for use by or in connection with an instruction execution system, apparatus, or device. Program code on a computer readable signal medium may be propagated over any suitable medium, including radio, electrical cable, fiber optic cable, RF, or the like, or any combination of the preceding.
Computer program code required for the execution of aspects of the present application may be written in any combination of one or more programming languages, including object oriented programming, such as Java, Scala, Smalltalk, Eiffel, JADE, Emerald, C + +, C #, VB.NET, Python, and the like, or similar conventional programming languages, such as the "C" programming language, Visual Basic, Fortran 2003, Perl, COBOL 2002, PHP, ABAP, dynamic programming languages, such as Python, Ruby, and Groovy, or other programming languages. The programming code may execute entirely on the user's computer, as a stand-alone software package, partly on the user's computer, partly on a remote computer or entirely on the remote computer or server. In the latter scenario, the remote computer may be connected to the user's computer through any network format, such as a Local Area Network (LAN) or a Wide Area Network (WAN), or the connection may be made to an external computer (for example, through the Internet), or in a cloud computing environment, or as a service, such as a software as a service (SaaS).
Additionally, the order of the process elements and sequences described herein, the use of numerical letters, or other designations are not intended to limit the order of the processes and methods unless otherwise indicated in the claims. While various presently contemplated embodiments of the invention have been discussed in the foregoing disclosure by way of example, it should be understood that such detail is solely for that purpose and that the appended claims are not limited to the disclosed embodiments, but, on the contrary, are intended to cover all modifications and equivalent arrangements that are within the spirit and scope of the embodiments herein. For example, although the system components described above may be implemented by hardware means, they may also be implemented by software-only solutions, such as installing the described system on an existing server or mobile device.
It should also be appreciated that in the foregoing description of embodiments of the present application, various features are sometimes grouped together in a single embodiment, figure, or description thereof for the purpose of streamlining the disclosure aiding in the understanding of at least one embodiment of the invention. However, this method of disclosure is not intended to require more features than are expressly recited in the claims. Indeed, the embodiments may be characterized as having less than all of the features of a single embodiment disclosed above.
Claims (9)
1. A business resource sharing method based on cloud computing and digital upgrading is characterized by comprising the following steps:
determining service evaluation index detection conditions respectively corresponding to a service project processing record and a service resource usage record of a current intelligent service terminal;
inquiring whether a target event record with service evaluation indexes which do not meet corresponding service evaluation index detection conditions exists in a service project processing record and a service resource use record of the current intelligent service terminal; determining a record adjusting thread for adjusting the target event record according to the query result, and adjusting the target event record into an event record meeting the corresponding service evaluation index detection condition based on the record adjusting thread;
determining service resource distribution information of the current intelligent service terminal based on event records except the target event record in the service project processing record and the service resource use record of the current intelligent service terminal and the adjusted target event record;
and determining the service resources to be shared corresponding to the current intelligent service terminal according to the service resource distribution information and the service reservation request queue of the current intelligent service terminal, and sharing the service resources to be shared.
2. The method according to claim 1, wherein the determining, according to the query result, a record adjustment thread for adjusting the target event record, and based on the record adjustment thread, adjusting the target event record to an event record satisfying a corresponding service evaluation index detection condition includes:
if the service project processing record of the current intelligent service terminal does not meet the corresponding first service evaluation index detection condition and the service resource usage record of the current intelligent service terminal does not meet the corresponding second service evaluation index detection condition, determining a record adjustment thread for adjusting the service project processing record and the service resource usage record as a first preset thread, and respectively adjusting the service project processing record and the service resource usage record as event records meeting the corresponding service evaluation index detection condition based on the determined record adjustment thread;
if the service resource usage record of the current intelligent service terminal is a target event record which does not meet the corresponding second service evaluation index detection condition, or the service project processing record of the current intelligent service terminal is a target event record which does not meet the corresponding first service evaluation index detection condition, determining that a record adjusting thread for adjusting the target event record is a second preset thread or a third preset thread, and adjusting the target event record to an event record which meets the corresponding service evaluation index detection condition based on the determined record adjusting thread;
the first service evaluation index detection condition and the second service evaluation index detection condition have different respective corresponding set participation degrees.
3. The method according to claim 2, wherein the determining the service resource distribution information of the current intelligent service terminal based on the event record except for the target event record in the service item processing record and the service resource usage record of the current intelligent service terminal and the adjusted target event record comprises:
extracting service event resource characteristics based on event records except the target event record in the service project processing record and the service resource using record of the current intelligent service terminal and the adjusted target event record to obtain a plurality of service resource information sets; and clustering the service resource information sets to obtain the service resource distribution information of the current intelligent service terminal.
4. The method according to claim 3, wherein the current intelligent service terminal is an interactive terminal or an artificial intelligent terminal, the first preset thread is a dynamic timing adjustment thread, and the adjusting the service item processing record and the service resource usage record to the event record satisfying the corresponding service evaluation index detection condition based on the determined record adjustment thread comprises:
if the service item processing record of the current intelligent service terminal does not meet the corresponding first service evaluation index detection condition and the service resource usage record of the current intelligent service terminal does not meet the corresponding second service evaluation index detection condition, taking a dynamic time sequence adjustment thread as a record adjustment thread, adjusting the service item processing record of the current intelligent service terminal to obtain a sub-service item processing record corresponding to the service item processing record on each dynamic time sequence adjustment thread, taking the dynamic time sequence adjustment thread as a record adjustment thread, adjusting the service resource usage record of the current intelligent service terminal to obtain a sub-service resource usage record corresponding to the service resource usage record on each dynamic time sequence adjustment thread;
the extracting of the service event resource characteristics is carried out on the basis of event records except the target event record and the adjusted target event record in the service project processing record and the service resource using record of the current intelligent service terminal to obtain a plurality of service resource information sets, and the extracting comprises the following steps: respectively extracting service event resource characteristics from the sub-service project processing record and the sub-service resource use record corresponding to each dynamic timing sequence adjustment thread to obtain a plurality of service resource information sets;
the clustering the plurality of service resource information sets to obtain service resource distribution information of the current intelligent service terminal includes: and clustering the plurality of service resource information sets according to the feature dimension degrees and the feature priority corresponding to the time sequence features to obtain the service resource distribution information of the current intelligent service terminal.
5. The method according to claim 3, wherein the third preset thread is an event attribute adjustment thread, the second preset thread is an event tag adjustment thread and a static timing adjustment thread, and the adjusting the target event record to an event record satisfying a corresponding service evaluation index detection condition based on the determined record adjustment thread comprises:
if the service resource usage record of the current intelligent service terminal is a target event record which does not meet the corresponding second service evaluation index detection condition, or the service item processing record of the current intelligent service terminal is a target event record which does not meet the corresponding first service evaluation index detection condition, determining whether the event record adjustment weight of the target event record on the event attribute adjustment thread is greater than the set weight;
if the event record adjusting weight of the target event record on the event attribute adjusting thread is greater than the set weight, taking the event attribute adjusting thread as a record adjusting thread, and adjusting the target event record into an event record meeting the corresponding service evaluation index detection condition;
and if the event record adjusting weight of the target event record on the event attribute adjusting thread is equal to the set weight and the target event record has an event tag adjusting thread and a static time sequence adjusting thread, adjusting the target event record to the event record meeting the corresponding service evaluation index detection condition by taking the event tag adjusting thread and the static time sequence adjusting thread as record adjusting threads.
6. The method according to claim 5, wherein if the event record adjustment weight of the target event record on the event attribute adjustment thread is greater than a set weight, adjusting the target event record to an event record satisfying a corresponding service evaluation index detection condition by using the event attribute adjustment thread as a record adjustment thread comprises:
if the event record adjusting weight of the target event record on the event attribute adjusting thread is greater than the set weight, adjusting the target event record by taking the event attribute adjusting thread as a record adjusting thread to obtain a plurality of target event records to be processed;
the extracting of the service event resource characteristics is carried out on the basis of event records except the target event record and the adjusted target event record in the service project processing record and the service resource using record of the current intelligent service terminal to obtain a plurality of service resource information sets, and the extracting comprises the following steps: respectively extracting service event resource characteristics of each target event record to be processed and event records except the target event record in the service project processing record and the service resource use record of the current intelligent service terminal to obtain a service resource information set;
the clustering the plurality of service resource information sets to obtain service resource distribution information of the current intelligent service terminal includes: and clustering the plurality of service resource information sets according to the feature dimension number and the feature priority corresponding to the time sequence feature to obtain the service resource distribution information of the current intelligent service terminal.
7. The method according to claim 1, wherein the determining service evaluation index detection conditions corresponding to the service item processing record and the service resource usage record of the current intelligent service terminal respectively comprises:
determining a terminal configuration type of a current intelligent service terminal;
and determining a first service evaluation index detection condition corresponding to the service item processing record of the current intelligent service terminal and a second service evaluation index detection condition corresponding to the service resource usage record of the current intelligent service terminal based on the preset corresponding relationship among the terminal configuration type, the service evaluation index of the service item processing record, the service evaluation index of the service resource usage record, the service evaluation index detection condition corresponding to the service item processing record and the service evaluation index detection condition corresponding to the service resource usage record of the service item processing record of the current intelligent service terminal, the terminal configuration type of the current intelligent service terminal, the service evaluation index of the service item processing record of the current intelligent service terminal and the service evaluation index of the service resource usage record of the current intelligent service terminal.
8. The method of claim 1, wherein determining a service resource to be shared corresponding to the current intelligent service terminal according to the service resource distribution information and a service reservation request queue of the current intelligent service terminal, and sharing the service resource to be shared comprises:
acquiring a target service resource containing a service resource modification identifier based on the information clustering result of the service resource distribution information and the reservation request attribute information of the service reservation request queue of the current intelligent service terminal;
classifying the resource data packets of the target service resources into static resource data packets and dynamic resource data packets; marking the static resource data packet as a resource data packet to be processed;
in the dynamic resource data packet, marking the resource data packet with the same identification category as the service resource modification identification as the resource data packet to be processed;
performing resource data analysis on the resource data packet to be processed in the target service resource to obtain a resource calling analysis result corresponding to the operation error reporting rate of the current intelligent service terminal; the static resource data packet is a resource data packet which can share service resources and meets a corresponding first calling frequency condition; the dynamic resource data packet is a resource data packet of which the sharable service resource does not meet the corresponding first calling frequency condition; the sharable service resource is a resource data packet of which the service resource modification weight is greater than the set modification weight in the target service resource;
determining a service resource to be shared corresponding to the current intelligent service terminal based on the resource calling analysis result, and sharing the service resource to be shared;
the classifying the resource data packet of the target service resource into a static resource data packet and a dynamic resource data packet includes: determining the identifier updating frequency of the service resource modification identifier in the target service resource; taking the resource data packet in the target service resource, which is consistent with the identifier updating frequency, as a resource data packet to be classified; determining the first calling frequency condition corresponding to the resource data packet to be classified; classifying the resource data packet to be classified into the static resource data packet or the dynamic resource data packet based on the first calling frequency condition;
classifying the resource data packet to be classified into the static resource data packet or the dynamic resource data packet based on the first call frequency condition includes: judging whether the resource data packet to be classified has the sharable service resource or not based on the first calling frequency condition; if so, classifying the resource data packet to be classified into the static resource data packet; if not, classifying the resource data packet to be classified into the dynamic resource data packet; or, the sharable service resource in the target service resource is used as a target sharable service resource; classifying the resource data packet to be classified corresponding to the target sharable service resource and the first calling frequency condition into the static resource data packet; classifying the remaining resource data packets to be classified into the dynamic resource data packets;
before classifying the resource data packet to be classified into the static resource data packet or the dynamic resource data packet based on the first call frequency condition, the method includes: judging whether the resource data packet to be classified has hot resource data with the same hot label with the target service resource, if so, executing the step of classifying the resource data packet to be classified into the static resource data packet or the dynamic resource data packet based on the first calling frequency condition, and if not, directly classifying the resource data packet to be classified into the dynamic resource data packet;
in the dynamic resource packet, marking a resource packet having the same identification category as the service resource modification identification as the resource packet to be processed includes: determining a second calling frequency condition corresponding to the dynamic resource data packet; determining a maximum calling frequency within the second calling frequency condition; judging whether the maximum calling frequency is matched with the resource data packet to be processed or not; if the maximum calling frequency is matched with the resource data packet to be processed, determining effective matching duration between the maximum calling frequency and the dynamic resource data packet, judging whether the service resource modification weight of the effective matching duration is smaller than the service resource modification weight of the dynamic resource data packet, and if the service resource modification weight of the effective matching duration is larger than or equal to the service resource modification weight of the dynamic resource data packet, marking the dynamic resource data packet as the resource data packet to be processed.
9. A cloud server comprising a processing engine, a network module, and a memory; the processing engine and the memory communicate through the network module, the processing engine reading a computer program from the memory and operating to perform the method of any of claims 1-8.
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