CN113901363A - Cloud server information analysis method and system - Google Patents

Cloud server information analysis method and system Download PDF

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Publication number
CN113901363A
CN113901363A CN202010988030.3A CN202010988030A CN113901363A CN 113901363 A CN113901363 A CN 113901363A CN 202010988030 A CN202010988030 A CN 202010988030A CN 113901363 A CN113901363 A CN 113901363A
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cloud service
information
analysis information
service
target
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王佳
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Suzhou Loushanglou Information Technology Co Ltd
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Suzhou Loushanglou Information Technology Co Ltd
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    • G—PHYSICS
    • G06—COMPUTING; CALCULATING OR COUNTING
    • G06F—ELECTRIC DIGITAL DATA PROCESSING
    • G06F16/00—Information retrieval; Database structures therefor; File system structures therefor
    • G06F16/90—Details of database functions independent of the retrieved data types
    • G06F16/95—Retrieval from the web
    • G06F16/958—Organisation or management of web site content, e.g. publishing, maintaining pages or automatic linking
    • H—ELECTRICITY
    • H04—ELECTRIC COMMUNICATION TECHNIQUE
    • H04L—TRANSMISSION OF DIGITAL INFORMATION, e.g. TELEGRAPHIC COMMUNICATION
    • H04L43/00—Arrangements for monitoring or testing data switching networks
    • H04L43/08—Monitoring or testing based on specific metrics, e.g. QoS, energy consumption or environmental parameters
    • H04L43/0805—Monitoring or testing based on specific metrics, e.g. QoS, energy consumption or environmental parameters by checking availability
    • H04L43/0817—Monitoring or testing based on specific metrics, e.g. QoS, energy consumption or environmental parameters by checking availability by checking functioning

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  • Engineering & Computer Science (AREA)
  • Databases & Information Systems (AREA)
  • Theoretical Computer Science (AREA)
  • Data Mining & Analysis (AREA)
  • Physics & Mathematics (AREA)
  • General Engineering & Computer Science (AREA)
  • General Physics & Mathematics (AREA)
  • Environmental & Geological Engineering (AREA)
  • Computer Networks & Wireless Communication (AREA)
  • Signal Processing (AREA)
  • Management, Administration, Business Operations System, And Electronic Commerce (AREA)

Abstract

The embodiment of the invention provides a cloud server information analysis method and system, wherein business label information related to target cloud service analysis information is obtained, business related parameters of the target cloud service analysis information and other cloud service analysis information are determined according to the business label information, then business coverage parameters related to the target cloud service analysis information and other cloud service analysis information are determined according to the label frequency and the business category of the business label information, and therefore the related cloud service analysis information of the target cloud service analysis information is determined according to the business related parameters and the business coverage parameters of the target cloud service analysis information and other cloud service analysis information, and the related cloud service analysis information is added to cloud service elements related to the target cloud service analysis information. Therefore, the relevance of the pushed cloud service analysis information can be improved, a user does not need to carry out a large amount of information arrangement processes, and the working cost is reduced.

Description

Cloud server information analysis method and system
Technical Field
The invention relates to the technical field of cloud services, in particular to a cloud server information analysis method and system.
Background
How to improve the relevance of the pushed cloud service analysis information, without a large amount of information arrangement processes of users, and reduce the working cost is a technical problem to be solved urgently in the field.
Disclosure of Invention
In view of this, an object of the embodiments of the present invention is to provide a method and a system for analyzing cloud server information, which can improve relevance of pushed cloud service analysis information, and reduce working cost without requiring a user to perform a large amount of information sorting processes.
According to an aspect of an embodiment of the present invention, there is provided a cloud server information parsing method, applied to a server, the method including:
acquiring business label information related to target cloud service analysis information;
determining service related parameters of the target cloud service analysis information and other cloud service analysis information according to the service tag information;
determining service coverage parameters of the target cloud service analysis information and other cloud service analysis information according to the label frequency of the service label information and the service category to which the service label information belongs;
and determining associated cloud service analysis information of the target cloud service analysis information according to the service related parameters and the service coverage parameters of the target cloud service analysis information and other cloud service analysis information, and adding the associated cloud service analysis information to cloud service elements related to the target cloud service analysis information.
In one possible example, the service tag information includes a cloud service calling process for adding the target cloud service resolution information, and the step of determining the service-related parameters of the target cloud service resolution information and other cloud service resolution information according to the service tag information of the target cloud service resolution information includes:
and determining service related parameters of the target cloud service analysis information and other cloud service analysis information on the cloud service calling process according to the frequency of the target cloud service analysis information and other cloud service analysis information appearing in the same cloud service calling process and the sequence of the target cloud service analysis information and other cloud service analysis information appearing in the same cloud service calling process.
In one possible example, the business tag information includes a cloud service addition history, and the step of determining business related parameters of the target cloud service resolution information and other cloud service resolution information according to the business tag information of the target cloud service resolution information includes:
selecting a cloud service addition history record of each cloud service for adding the target cloud service analysis information within a set time period from the cloud service addition history records;
according to the selected cloud service adding history record, counting the adding time interval of the target cloud service analysis information and other cloud service analysis information added by each cloud service in the time period, and the number of adding nodes of the target cloud service analysis information and other cloud service analysis information added in the time period;
and determining service related parameters of the target cloud service analysis information and other cloud service analysis information on a cloud service addition historical record according to the addition time interval and the number of the addition nodes.
In one possible example, the method further comprises:
judging whether the service coverage parameters associated with the target cloud service analysis information and other cloud service analysis information meet a service coverage parameter updating rule or not;
if the business coverage parameter updating rule is met, acquiring a target cloud service calling process containing the target cloud service analysis information;
according to the target cloud service calling process, cloud server information analysis is carried out;
and in the process of analyzing the target cloud server information, correcting the service coverage parameters of the target cloud service analysis information and other cloud service analysis information.
In one possible example, the step of modifying the service coverage parameter associated with the target cloud service resolution information and other cloud service resolution information during the target cloud server information resolution process includes:
in the process of analyzing the target cloud server information, service label information related to the target cloud service analysis information is obtained again;
and determining the service coverage parameters of the target cloud service analysis information and other cloud service analysis information according to the label frequency of the obtained service label information and the service category to which the target cloud service analysis information belongs.
According to another aspect of the embodiments of the present invention, there is provided a cloud server information parsing system, applied to a server, the system including:
the acquisition module is used for acquiring business label information related to the target cloud service analysis information;
the first determining module is used for determining business related parameters of the target cloud service analysis information and other cloud service analysis information according to the business label information;
the second determining module is used for determining the service coverage parameters of the target cloud service analysis information and other cloud service analysis information according to the label frequency of the service label information and the service category to which the service label information belongs;
and the third determining module is used for determining the associated cloud service analysis information of the target cloud service analysis information according to the service related parameters and the service coverage parameters of the target cloud service analysis information and other cloud service analysis information, and adding the associated cloud service analysis information to the cloud service elements related to the target cloud service analysis information.
According to another aspect of the embodiments of the present invention, there is provided a readable storage medium, on which a computer program is stored, and when the computer program is executed by a processor, the computer program may perform the steps of the cloud server information parsing method described above.
Compared with the prior art, the cloud server information analysis method and the cloud server information analysis system provided by the embodiment of the invention have the advantages that the business label information related to the target cloud service analysis information is obtained, the business related parameters of the target cloud service analysis information and other cloud service analysis information are determined according to the business label information, then the business coverage parameters related to the target cloud service analysis information and other cloud service analysis information are determined according to the label frequency and the business category of the business label information, the related cloud service analysis information of the target cloud service analysis information is determined according to the business related parameters and the business coverage parameters of the target cloud service analysis information and other cloud service analysis information, and the related cloud service analysis information is added to the cloud service element related to the target cloud service analysis information. Therefore, the relevance of the pushed cloud service analysis information can be improved, a user does not need to carry out a large amount of information arrangement processes, and the working cost is reduced.
In order to make the aforementioned objects, features and advantages of the embodiments of the present invention comprehensible, embodiments accompanied with figures are described in detail below.
Drawings
In order to more clearly illustrate the technical solutions of the embodiments of the present invention, the drawings that are required 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.
FIG. 1 illustrates a component diagram of a server provided by an embodiment of the invention;
fig. 2 is a schematic flowchart illustrating a cloud server information parsing method according to an embodiment of the present invention;
fig. 3 shows a functional module block diagram of a cloud server information parsing system provided in an embodiment of the present invention.
Detailed Description
In order to make the technical solutions of the present invention better understood by the scholars in the technical field, the technical solutions in the embodiments of the present invention will be clearly and completely described below with reference to the drawings in the embodiments of the present invention, and it is obvious that the described embodiments are only a part of the embodiments of the present invention, not all of the embodiments. All other embodiments, which can be derived by a person skilled in the art from the embodiments given herein without making any creative effort, shall fall within the protection scope of the present invention.
The terms "first," "second," "third," and the like in the description and in the claims, as well as in the drawings, if any, are used for distinguishing between similar elements and not necessarily for describing a particular sequential or chronological order. It should be understood that the technology project objects so used may be interchanged under appropriate circumstances such that embodiments of the invention described herein may, for example, be implemented in sequences other than those illustrated or described herein. Furthermore, the terms "comprises," "comprising," and "having," and any variations thereof, are intended to cover a non-exclusive inclusion, such that a process, method, system, article, or apparatus that comprises a list of steps or elements is not necessarily limited to those steps or elements expressly listed, but may include other steps or elements not expressly listed or inherent to such process, method, article, or apparatus.
Fig. 1 shows an exemplary component schematic of a server 100. The server 100 may include one or more processors 104, such as one or more Central Processing Units (CPUs), each of which may implement one or more hardware threads. The server 100 may also include any storage media 106 for storing any kind of information, such as code, settings, data, etc. For example, and without limitation, storage medium 106 may include any one or more of the following in combination: any type of RAM, any type of ROM, flash memory devices, hard disks, optical disks, etc. More generally, any storage medium may use any technology to store information. Further, any storage medium may provide volatile or non-volatile retention of information. Further, any storage medium may represent a fixed or removable component of server 100. In one case, when the processor 104 executes the associated instructions stored in any storage medium or combination of storage media, the server 100 may perform any of the operations of the associated instructions. The server 100 further comprises one or more drive units 108 for interacting with any storage medium, such as a hard disk drive unit, an optical disk drive unit, etc.
The server 100 also includes input/output 110 (I/O) for receiving various inputs (via input unit 112) and for providing various outputs (via output unit 114)). One particular output mechanism may include a presentation device 116 and an associated Graphical User Interface (GUI) 118. The server 100 may also include one or more network interfaces 120 for exchanging data with other devices via one or more communication units 122. One or more communication buses 124 couple the above-described components together.
The communication unit 122 may be implemented in any manner, such as over a local area network, a wide area network (e.g., the internet), a point-to-point connection, etc., or any combination thereof. The communication unit 122 may include any combination of hardwired links, wireless links, routers, gateway functions, name servers 100, and so forth, governed by any protocol or combination of protocols.
Fig. 2 is a flowchart illustrating a cloud server information parsing method according to an embodiment of the present invention, where the cloud server information parsing method may be performed by the server 100 shown in fig. 1, and detailed steps of the cloud server information parsing method are described as follows.
Step S110, acquiring business label information related to target cloud service analysis information;
step S120, determining service related parameters of the target cloud service analysis information and other cloud service analysis information according to the service label information;
step S130, determining business coverage parameters of the target cloud service analysis information and other cloud service analysis information according to the label frequency of the business label information and the business category to which the business label information belongs;
step S140, determining associated cloud service analysis information of the target cloud service analysis information according to the service related parameters and the service coverage parameters of the target cloud service analysis information and other cloud service analysis information, and adding the associated cloud service analysis information to cloud service elements related to the target cloud service analysis information.
Based on the above steps, in this embodiment, by obtaining service tag information related to target cloud service analysis information, determining service related parameters of the target cloud service analysis information and other cloud service analysis information according to the service tag information, and then determining service coverage parameters related to the target cloud service analysis information and other cloud service analysis information according to tag frequency and a service category to which the service tag information belongs, according to the service related parameters and the service coverage parameters of the target cloud service analysis information and other cloud service analysis information, determining related cloud service analysis information of the target cloud service analysis information, and adding the related cloud service analysis information to a cloud service element related to the target cloud service analysis information. Therefore, the relevance of the pushed cloud service analysis information can be improved, a user does not need to carry out a large amount of information arrangement processes, and the working cost is reduced.
In a possible example, for step S120, the present embodiment may determine, according to the frequency of occurrence of the target cloud service resolution information and other cloud service resolution information in the same cloud service invocation process and the order of occurrence of the target cloud service resolution information and other cloud service resolution information in the same cloud service invocation process, the business related parameters of the target cloud service resolution information and other cloud service resolution information in the cloud service invocation process.
In a possible example, the service tag information includes a cloud service addition history, and for step S120, in this embodiment, a cloud service addition history in which each cloud service adds the target cloud service analysis information within a set time period is selected from the cloud service addition histories, and according to the selected cloud service addition history, an addition time interval in which each cloud service adds the target cloud service analysis information and other cloud service analysis information within the time period and the number of added nodes in which the target cloud service analysis information and other cloud service analysis information are added within the time period are counted. Therefore, the business related parameters of the target cloud service analysis information and other cloud service analysis information on the cloud service addition historical record can be determined according to the addition time interval and the number of the addition nodes.
In a possible example, the embodiment may determine whether a service coverage parameter associated with the target cloud service analysis information and other cloud service analysis information satisfies a service coverage parameter update rule, acquire a target cloud service call process including the target cloud service analysis information if the service coverage parameter update rule is satisfied, perform cloud server information analysis according to the target cloud service call process, and modify the service coverage parameter associated with the target cloud service analysis information and other cloud service analysis information in the target cloud server information analysis process.
For example, in the embodiment, in the process of analyzing the information of the target cloud server, service tag information related to the target cloud service analysis information may be acquired again, and according to the tag frequency of the acquired service tag information and the service category to which the service tag information belongs, a service coverage parameter related to the target cloud service analysis information and other cloud service analysis information is determined.
Fig. 3 shows a functional block diagram of a cloud server information parsing system 200 according to an embodiment of the present invention, where the functions implemented by the cloud server information parsing system 200 may correspond to the steps executed by the foregoing method. The cloud server information analysis system 200 may be understood as the server 100 or a processor of the server 100, or may be understood as a component that is independent from the server 100 or the processor and implements the functions of the present invention under the control of the server 100, as shown in fig. 3, and the functions of each functional module of the cloud server information analysis system 200 are described in detail below.
An obtaining module 210, configured to obtain service tag information related to target cloud service analysis information;
a first determining module 220, configured to determine, according to the service tag information, service-related parameters of the target cloud service analysis information and other cloud service analysis information;
a second determining module 230, configured to determine, according to the tag frequency of the service tag information and the service category to which the service tag information belongs, a service coverage parameter that is associated with the target cloud service analysis information and other cloud service analysis information;
a third determining module 240, configured to determine, according to the service-related parameter and the service coverage parameter of the target cloud service analysis information and other cloud service analysis information, associated cloud service analysis information of the target cloud service analysis information, and add the associated cloud service analysis information to a cloud service element related to the target cloud service analysis information.
In one possible example, the service tag information includes a cloud service calling process for adding the target cloud service resolution information, and a manner for determining service-related parameters of the target cloud service resolution information and other cloud service resolution information according to the service tag information of the target cloud service resolution information includes:
and determining service related parameters of the target cloud service analysis information and other cloud service analysis information on the cloud service calling process according to the frequency of the target cloud service analysis information and other cloud service analysis information appearing in the same cloud service calling process and the sequence of the target cloud service analysis information and other cloud service analysis information appearing in the same cloud service calling process.
In one possible example, the business tag information includes a cloud service addition history, and a manner of determining business related parameters of the target cloud service resolution information and other cloud service resolution information according to the business tag information of the target cloud service resolution information includes:
selecting a cloud service addition history record of each cloud service for adding the target cloud service analysis information within a set time period from the cloud service addition history records;
according to the selected cloud service adding history record, counting the adding time interval of the target cloud service analysis information and other cloud service analysis information added by each cloud service in the time period, and the number of adding nodes of the target cloud service analysis information and other cloud service analysis information added in the time period;
and determining service related parameters of the target cloud service analysis information and other cloud service analysis information on a cloud service addition historical record according to the addition time interval and the number of the addition nodes.
In one possible example, the second determining module 230 is further configured to:
judging whether the service coverage parameters associated with the target cloud service analysis information and other cloud service analysis information meet a service coverage parameter updating rule or not;
if the business coverage parameter updating rule is met, acquiring a target cloud service calling process containing the target cloud service analysis information;
according to the target cloud service calling process, cloud server information analysis is carried out;
and in the process of analyzing the target cloud server information, correcting the service coverage parameters of the target cloud service analysis information and other cloud service analysis information.
In a possible example, the manner for modifying the service coverage parameter associated with the target cloud service resolution information and other cloud service resolution information in the process of resolving the target cloud server information includes:
in the process of analyzing the target cloud server information, service label information related to the target cloud service analysis information is obtained again;
and determining the service coverage parameters of the target cloud service analysis information and other cloud service analysis information according to the label frequency of the obtained service label information and the service category to which the target cloud service analysis information belongs.
It is clear to those skilled in the art that, for convenience and brevity of description, the specific working processes of the above-described systems, apparatuses and units may refer to the corresponding processes in the foregoing method embodiments, and are not described herein again.
In the embodiments provided in the present invention, it should be understood that the disclosed apparatus and method can be implemented in other ways. The apparatus and method embodiments described above are illustrative only, as the flowcharts and block diagrams in the figures illustrate the architecture, functionality, and operation of possible implementations of systems, methods and computer program products according to various embodiments of the present invention. In this regard, each block in the flowchart or block diagrams may represent a module, segment, or portion of code, which comprises one or more executable instructions for implementing the specified logical function(s). It should also be noted that, in some alternative implementations, the functions noted in the block may occur out of the order noted in the figures. For example, two blocks shown in succession may, in fact, be executed substantially concurrently, or the blocks may sometimes be executed in the reverse order, depending upon the functionality involved. It will also be noted that each block of the block diagrams and/or flowchart illustration, and combinations of blocks in the block diagrams and/or flowchart illustration, can be implemented by special purpose hardware-based systems that perform the specified functions or acts, or combinations of special purpose hardware and computer instructions.
In addition, the functional modules in the embodiments of the present invention may be integrated together to form an independent part, or each module may exist separately, or two or more modules may be integrated to form an independent part.
Alternatively, all or part of the implementation may be in software, hardware, firmware, or any combination thereof. When implemented in software, may be implemented in whole or in part in the form of a computer program product. The computer program product includes one or more computer instructions. When loaded and executed on a computer, cause the processes or functions described in accordance with the embodiments of the invention to occur, in whole or in part. The computer may be a general purpose computer, a special purpose computer, a network of computers, or other programmable device. The computer instructions may be stored in a computer readable storage medium or transmitted from one computer readable storage medium to another, for example, the computer instructions may be transmitted from one website, computer, server, or data presentation object to another website, computer, server, or data presentation object by wire (e.g., coaxial cable, fiber optic, Digital Subscriber Line (DSL)) or wirelessly (e.g., infrared, wireless, microwave, etc.). The computer-readable storage medium can be any available medium that can be accessed by a computer or a data storage device that includes one or more available media integrated servers, data presentation objects, and the like. The usable medium may be a magnetic medium (e.g., floppy Disk, hard Disk, magnetic tape), an optical medium (e.g., DVD), or a semiconductor medium (e.g., Solid State Disk (SSD)), among others.
It should be noted that, in this document, the terms "comprises," "comprising," or any other variation thereof, are intended to cover a non-exclusive inclusion, such that a process, method, article, or apparatus that comprises a list of elements does not include only those elements but may include other elements not expressly listed or inherent to such process, method, article, or apparatus. Without further limitation, an element defined by the phrase "comprising an … …" does not exclude the presence of other identical elements in a process, method, article, or apparatus that comprises the element.
It will be evident to those skilled in the art that the invention is not limited to the details of the foregoing illustrative embodiments, and that the present invention may be embodied in other specific forms without departing from the spirit or essential attributes thereof. The present embodiments are therefore to be considered in all respects as illustrative and not restrictive, the scope of the invention being indicated by the appended claims rather than by the foregoing description, and all changes which come within the meaning and range of equivalency of the claims are therefore intended to be embraced therein. Any drawing credit or debit acknowledgement in the claims should not be construed as limiting the claim concerned.

Claims (10)

1. The cloud server information analysis method is applied to a server, and comprises the following steps:
acquiring business label information related to target cloud service analysis information;
determining service related parameters of the target cloud service analysis information and other cloud service analysis information according to the service tag information;
determining service coverage parameters of the target cloud service analysis information and other cloud service analysis information according to the label frequency of the service label information and the service category to which the service label information belongs;
and determining associated cloud service analysis information of the target cloud service analysis information according to the service related parameters and the service coverage parameters of the target cloud service analysis information and other cloud service analysis information, and adding the associated cloud service analysis information to cloud service elements related to the target cloud service analysis information.
2. The method for analyzing cloud server information according to claim 1, wherein the service tag information includes a cloud service calling process for adding the target cloud service analysis information, and the step of determining the service-related parameters of the target cloud service analysis information and other cloud service analysis information according to the service tag information of the target cloud service analysis information includes:
and determining service related parameters of the target cloud service analysis information and other cloud service analysis information on the cloud service calling process according to the frequency of the target cloud service analysis information and other cloud service analysis information appearing in the same cloud service calling process and the sequence of the target cloud service analysis information and other cloud service analysis information appearing in the same cloud service calling process.
3. The cloud server information parsing method according to claim 1, wherein the service tag information includes a cloud service addition history, and the step of determining service related parameters of the target cloud service parsing information and other cloud service parsing information according to the service tag information of the target cloud service parsing information includes:
selecting a cloud service addition history record of each cloud service for adding the target cloud service analysis information within a set time period from the cloud service addition history records;
according to the selected cloud service adding history record, counting the adding time interval of the target cloud service analysis information and other cloud service analysis information added by each cloud service in the time period, and the number of adding nodes of the target cloud service analysis information and other cloud service analysis information added in the time period;
and determining service related parameters of the target cloud service analysis information and other cloud service analysis information on a cloud service addition historical record according to the addition time interval and the number of the addition nodes.
4. The cloud server information parsing method according to any one of claims 1 to 3, wherein the method further comprises:
judging whether the service coverage parameters associated with the target cloud service analysis information and other cloud service analysis information meet a service coverage parameter updating rule or not;
if the business coverage parameter updating rule is met, acquiring a target cloud service calling process containing the target cloud service analysis information;
according to the target cloud service calling process, cloud server information analysis is carried out;
and in the process of analyzing the target cloud server information, correcting the service coverage parameters of the target cloud service analysis information and other cloud service analysis information.
5. The cloud server information parsing method according to claim 4, wherein the step of modifying the service coverage parameter associated with the target cloud service parsing information and other cloud service parsing information in the process of parsing the target cloud server information comprises:
in the process of analyzing the target cloud server information, service label information related to the target cloud service analysis information is obtained again;
and determining the service coverage parameters of the target cloud service analysis information and other cloud service analysis information according to the label frequency of the obtained service label information and the service category to which the target cloud service analysis information belongs.
6. The cloud server information analysis system is applied to a server, and comprises the following components:
the acquisition module is used for acquiring business label information related to the target cloud service analysis information;
the first determining module is used for determining business related parameters of the target cloud service analysis information and other cloud service analysis information according to the business label information;
the second determining module is used for determining the service coverage parameters of the target cloud service analysis information and other cloud service analysis information according to the label frequency of the service label information and the service category to which the service label information belongs;
and the third determining module is used for determining the associated cloud service analysis information of the target cloud service analysis information according to the service related parameters and the service coverage parameters of the target cloud service analysis information and other cloud service analysis information, and adding the associated cloud service analysis information to the cloud service elements related to the target cloud service analysis information.
7. The cloud server information parsing system of claim 6, wherein the service tag information includes a cloud service calling process for adding the target cloud service parsing information, and a manner for determining service related parameters of the target cloud service parsing information and other cloud service parsing information according to the service tag information of the target cloud service parsing information includes:
and determining service related parameters of the target cloud service analysis information and other cloud service analysis information on the cloud service calling process according to the frequency of the target cloud service analysis information and other cloud service analysis information appearing in the same cloud service calling process and the sequence of the target cloud service analysis information and other cloud service analysis information appearing in the same cloud service calling process.
8. The cloud server information parsing system of claim 6, wherein the business tag information comprises a cloud service addition history, and the mode for determining business related parameters of the target cloud service parsing information and other cloud service parsing information according to the business tag information of the target cloud service parsing information comprises:
selecting a cloud service addition history record of each cloud service for adding the target cloud service analysis information within a set time period from the cloud service addition history records;
according to the selected cloud service adding history record, counting the adding time interval of the target cloud service analysis information and other cloud service analysis information added by each cloud service in the time period, and the number of adding nodes of the target cloud service analysis information and other cloud service analysis information added in the time period;
and determining service related parameters of the target cloud service analysis information and other cloud service analysis information on a cloud service addition historical record according to the addition time interval and the number of the addition nodes.
9. The cloud server information parsing system of any one of claims 6-8, wherein the second determining module is further configured to:
judging whether the service coverage parameters associated with the target cloud service analysis information and other cloud service analysis information meet a service coverage parameter updating rule or not;
if the business coverage parameter updating rule is met, acquiring a target cloud service calling process containing the target cloud service analysis information;
according to the target cloud service calling process, cloud server information analysis is carried out;
and in the process of analyzing the target cloud server information, correcting the service coverage parameters of the target cloud service analysis information and other cloud service analysis information.
10. The cloud server information parsing system according to claim 9, wherein the manner for modifying the service coverage parameter associated with the target cloud service parsing information and other cloud service parsing information in the process of parsing the target cloud server information includes:
in the process of analyzing the target cloud server information, service label information related to the target cloud service analysis information is obtained again;
and determining the service coverage parameters of the target cloud service analysis information and other cloud service analysis information according to the label frequency of the obtained service label information and the service category to which the target cloud service analysis information belongs.
CN202010988030.3A 2020-09-18 2020-09-18 Cloud server information analysis method and system Withdrawn CN113901363A (en)

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Application Number Priority Date Filing Date Title
CN202010988030.3A CN113901363A (en) 2020-09-18 2020-09-18 Cloud server information analysis method and system

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Application publication date: 20220107