CN114024967A - IAAS data processing system and method based on cloud edge and edge cooperative architecture - Google Patents
IAAS data processing system and method based on cloud edge and edge cooperative architecture Download PDFInfo
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Abstract
The invention relates to an IAAS data processing system based on a cloud edge and edge cooperative architecture, in particular to the technical field of communication, wherein the system comprises a receiving module, a counting module and a processing module, wherein the receiving module is used for receiving counting resource list information; the data acquisition module is in data connection with the receiving module and is used for acquiring and processing the resource list information received by the receiving module; the central control module is connected with the data acquisition module and used for metering the counting resources output by the data acquisition module; and the storage module is connected with the data acquisition module and is used for storing the data acquired by the data acquisition module. According to the invention, the counting data collection period is determined by the first acquisition unit according to the counting resource list information output by the receiving module, so that the reduction of energy loss can be effectively ensured, and the working performance is further improved.
Description
Technical Field
The invention relates to the technical field of communication, in particular to an IAAS data processing system and method based on a cloud edge and edge cooperative architecture.
Background
Cloud computing refers to the delivery of scalable and pooled computing, storage and networking capabilities and capacity as a service to a network of end recipients. The name comes from using the cloud as an abstraction for complex network infrastructure and associated hardware operating within the cloud. Cloud computing provides services such as data storage, software, and computing for users over a network. Such computing power relies on the sharing of resources to achieve relevance and economy similar to the scaling of utilities (such as power grids) over a network (typically the internet).
One aspect of services that support cloud computing relates to the infrastructure as a service model (IaaS), in which cloud service providers offer computers, as physical or, more often, as virtual machines, as well as other computing resources.
However, in the existing cloud computing network, counting is performed for independent cloud services, and at present, cloud-edge coordination and edge-edge coordination architectures are more and more widely applied, and the problem of low working performance generally exists when counting schemes are processed in the two scenarios.
Disclosure of Invention
Therefore, the invention provides an IAAS data processing system and method based on a cloud edge and edge cooperative architecture, which are used for solving the problem of low working performance generally existing in the prior art when a counting scheme is processed.
In order to achieve the above object, in one aspect, the present invention provides an IAAS data processing system and method based on a cloud edge and edge cooperative architecture, including:
the receiving module is used for receiving counting resource list information;
the data acquisition module is in data connection with the receiving module and is used for acquiring and processing the resource list information received by the receiving module, and the acquisition module comprises a first acquisition unit and a second acquisition unit, wherein the first acquisition unit is used for acquiring data used by a central cloud in the counting resource list information received by the receiving module, and the second acquisition unit is used for acquiring data used by an edge cloud in the counting resource list information received by the receiving module;
the central control module is connected with the data acquisition module and used for metering the counting resources output by the data acquisition module;
and the storage module is connected with the data acquisition module and is used for storing the data acquired by the data acquisition module.
When the first acquisition unit receives the counting resource list information output by the receiving module, the first acquisition unit judges the counting data collection time period according to the counting resource list information, scans the counting resource list information during collection to judge whether the edge cloud resources are instantiated or not, if the edge cloud resources are instantiated, the first acquisition unit starts and counts the resource list information after the activation information sent by the second acquisition unit, the second acquisition unit collects the instantiation resource quantity of the edge cloud resources according to the counting resource list transmitted by the first acquisition unit, selects an output interface to output to the first acquisition unit according to the judgment period after the collection is completed, and the first acquisition carries out comparison judgment and integration on the instantiation resource quantity of the edge cloud counting data input by the second acquisition unit and the instantiation resource quantity of the acquired counting data in the central cloud, and outputting the data to the central control module after the integration is finished, wherein the central control module judges counting measurement according to the resource quantity of the formed dynamic real-time counting data output by the first acquisition unit.
Further, when the receiving module receives the counting resource list information, the first collecting unit extracts the receiving counting resource list information and determines a counting data quantity S according to the receiving counting resource list information, the first collecting unit compares S with the counting data quantity S0 of the first collecting unit to determine a cycle of counting data collection, the first counting data quantity S1 and the second counting data quantity S2, wherein S1 is less than S2;
if S is less than S1, the first acquisition unit sets the counting data collection time as a first period;
if S1 is more than S2, the first acquisition unit sets the counting data collection time as a second period;
if S > S2, the first acquisition unit sets the count data collection time to a third period.
Further, when the first collection unit judges that the collection cycle is completed and collection is performed, the first collection unit scans whether the edge cloud resources are instantiated according to the counting resource list information, if the first collection unit judges that the edge cloud resources are instantiated, the first collection unit sends activation information and the counting resource list information to the second collection unit, and if the first collection unit scans that the edge cloud resources are not instantiated, the first collection unit collects the central cloud resource data according to the judged cycle.
Further, when the second acquisition unit receives the activation information and starts to collect, the second acquisition unit sends a counting data list data counting resource list through the first acquisition unit to determine the instantiated resource amount Lb of the edge cloud counting data, and the second acquisition unit compares the instantiated resource amount Lb of the edge cloud counting data with the instantiated resource amount Lb0 of the edge cloud counting data preset in the second acquisition unit to determine a data collection method;
if Lb is less than or equal to Lb0, the second acquisition unit judges as a first collection method;
if Lb > Lb0, the second acquisition unit determines a second collection method.
Further, when the second collection unit collects the marginal cloud counting data instantiated by the instantiated resources and sends the data to the first collection unit, the second collection unit extracts the collection period of the counting resource list information of the first collection unit and determines and conveys the conveying interface according to the collection period of the counting resource list information, and the second collection unit is provided with a first conveying interface, a second conveying interface and a third conveying interface according to the collection period.
Further, the edge cloud counting data preset by the second acquisition unit is instantiated into resource allowance Y0; when the second acquisition unit determines that the conveying interface is conveyed according to the counting resource list information collection period and reaches the preset time, the second acquisition unit detects that the currently conveyed edge cloud counting data is instantiated with resource allowance Y, and the second acquisition unit compares Y with Y0 to judge whether the data is qualified;
if Y is less than Y0, the second acquisition unit judges that the data source paths are not matched, the second acquisition unit controls the storage module to store instantiated resource quantity of edge cloud counting data and calculates a margin difference value to replace the conveying interface according to the margin difference value;
and if Y is larger than or equal to Y0, the second acquisition unit judges that the instantiated resource quantity of the edge cloud counting data is qualified for transmission.
Further, when the first acquisition unit integrates the counting data, the first acquisition unit judges the integration method according to the comparison between the instantiated resource quantity La of the counting data in the central cloud and the instantiated resource quantity Lb of the counting data in the edge cloud;
if J is larger than or equal to Jb, the first acquisition unit judges that the integration is preferentially carried out by taking the instantiated resource quantity of the central cloud counting data as a main part;
and if Ja is less than Jb, the first acquisition unit judges that the integration is preferentially carried out by taking the instantiated resource amount of the edge cloud counting data as the main part.
Further, when the first acquisition unit determines that the edge cloud counting data is preferentially instantiated as the main resource quantity for integration, the first acquisition unit scans the repeated part of the instantiated resource quantity of the center cloud counting data and the instantiated resource quantity of the edge cloud counting data, and if the repeated part of the instantiated resource quantity of the center cloud counting data and the repeated part of the instantiated resource quantity of the edge cloud counting data is less, the first acquisition unit continues to integrate with the instantiated resource quantity of the edge cloud counting data as the main resource quantity; if the number of the instantiated resource amount of the central cloud counting data and the number of the instantiated resource amount of the edge cloud counting data are more than the repetition number, the first acquisition unit preferentially integrates the instantiated resource amount of the central cloud counting data as a main part.
Further, when the counting data of the first acquisition unit is integrated and transmitted to the central control module, the central control module compares the dynamic real-time counting data resource quantity Z input by the first acquisition unit with the dynamic real-time counting data resource quantity Z0 preset by the central control module to determine counting and counting; the central control module is provided with a first dynamic real-time counting data resource amount Z1 and a first dynamic real-time counting data resource amount Z2, wherein Z1 is more than Z2
If Z is less than or equal to Z1, the central control module judges that the current dynamic real-time counting data resource amount is a first counting measurement;
if Z1 is larger than Z and smaller than or equal to Z2, the central control module judges the current dynamic real-time counting data resource amount to be a second counting measurement;
and if Z is more than Z2, the central control module judges the current dynamic real-time counting data resource amount to be a third counting amount.
On the other hand, the invention also provides an IaaS data processing method based on the cloud-edge collaboration and the edge-edge collaboration framework, which comprises the following steps:
step S1, the receiving module receives the counting resource list information and outputs the information to the first collecting unit;
step S2, the first collecting unit determines the counting data collecting period and collects the counting data according to the counting resource list information output by the receiving module; when the first acquisition unit is used for collecting, the first acquisition unit scans the counting resource list information to determine whether the edge cloud resources are instantiated, and if the edge cloud resources are judged to be instantiated, the first acquisition unit activates a second acquisition unit; the second acquisition unit is started after receiving the activation information sent by the first acquisition unit, collects the instantiated resource amount of the edge cloud resource according to the counting resource list sent by the first acquisition unit, and selects an output interface to send the output interface to the first acquisition unit according to a judgment cycle after the collection is completed;
step S3, the first acquisition unit integrates the instantiated resource amount of the central cloud counting data and the instantiated resource amount of the edge cloud counting data to form dynamic real-time counting data resources and transmits the dynamic real-time counting data resources to the central control module; the first acquisition unit compares the instantiated resource quantity of the central cloud counting data with the instantiated resource quantity of the edge cloud counting data to judge an integration mode;
and step S4, the central control module judges the metering level of the dynamic real-time resource counting data input by the first acquisition unit.
Compared with the prior art, the invention has the advantages that after the counting data volume is determined by the first acquisition unit counting the resource list information and the data volume is counted to judge the collection period, the first acquisition unit is used for carrying out instantiation scanning judgment on the edge cloud resources when the first acquisition unit collects the data according to the judged collection period, on one hand, the instantiation scanning of the edge cloud resources by the first acquisition unit can effectively avoid unqualified data after the collection is finished because the edge cloud resources are instantiated, on the other hand, when the edge cloud resources are judged to be instantiated, the first acquisition unit activates the second acquisition unit and instantiates the edge cloud resources by the second acquisition unit for collection, and meanwhile, the first acquisition unit collects the center cloud resources by the instantiation, thereby ensuring the working performance, and then when the second acquisition unit finishes acquisition and conveys the first acquisition unit, the conveying interface is selected according to the period judged by the first acquisition unit, so that on one hand, the working performance can be ensured, and on the other hand, the consequence that the working performance is reduced because the selected conveying interface does not meet the standard when the cloud counting data of the conveying edge is instantiated to the greatest extent is avoided.
Furthermore, when the first acquisition unit judges the period of counting data collection, the first acquisition unit determines the counting data amount according to the counting resource list information received by the receiving module, and compares the counting data amount with the preset counting data amount to judge the period of counting data collection, so that the reduction of energy loss can be effectively ensured, the reduction of working performance caused by that the determined period does not accord with the standard due to unclear counting data amount when the counting data is collected is avoided, and meanwhile, the working performance is further improved.
Furthermore, when the first acquisition unit judges that the period of data acquisition is completed, the first acquisition unit scans whether the marginal cloud resources are instantiated or not for the counting resource list information received by the receiving module, and if the marginal cloud resources are scanned to be instantiated, the first acquisition unit sends activation information and the counting resource list information to the second acquisition unit, so that the integrity of the data acquisition module in acquiring the counting resource list information and the accuracy of the counting resource list information acquisition can be effectively guaranteed, and the working performance is further improved.
Further, when the second acquisition unit collects the edge cloud counting data, the second acquisition unit sends the counting data list data counting resource list through the first acquisition unit to determine the instantiated resource amount of the edge cloud counting data and judges the collection method according to the instantiated resource amount of the edge cloud counting data, accurate collection of the instantiated resource of the edge cloud counting data can be effectively guaranteed, further, reduction of working performance caused by waste of collection time is avoided, and working performance is further improved.
Furthermore, when the second acquisition unit finishes the collection of the marginal cloud counting data by the instantiated resources and sends the marginal cloud counting data to the first acquisition unit, the second acquisition unit is provided with a plurality of sending interfaces, and when the second acquisition unit is used for conveying, the second acquisition unit extracts the information collection period of the counting resource list from the first acquisition unit and judges the conveying interface according to the information collection period of the counting resource list, so that the conveying efficiency can be effectively ensured, and the working performance is improved.
Furthermore, when the counting data is sorted by the first acquisition unit, the first acquisition unit of the first acquisition unit compares the instantiated resource amount of the central cloud counting data with the instantiated resource amount of the edge cloud counting data, so that the sorting efficiency of the counting data can be effectively ensured, the problem that sorted data does not meet the standard due to data disorder during sorting can be effectively avoided, and the working performance is improved.
Furthermore, when the first acquisition unit judges that the edge cloud counting data is integrated mainly based on the instantiated resource amount, the first acquisition unit scans the repeated part of the instantiated resource amount of the center cloud counting data and the instantiated resource amount of the edge cloud counting data, so that the phenomenon that the integration time is too long or exceeds the period due to the fact that the repeated part of the instantiated resource amount of the center cloud counting data and the instantiated resource amount of the edge cloud counting data is too much can be effectively avoided, and the working performance is further improved.
Furthermore, when the counting data of the first acquisition unit is integrated and transmitted to the central control module, the central control module compares the dynamic real-time counting data resource quantity input by the first acquisition unit with the dynamic real-time counting data resource quantity preset by the central control module to judge the counting grade, and the central control module compares the dynamic real-time counting data resource quantity with the preset dynamic real-time counting data resource quantity to judge the counting grade.
Drawings
Fig. 1 is a block diagram of an IaaS data processing system based on cloud-edge collaboration and edge-edge collaboration architecture according to the present invention;
fig. 2 is a flowchart of an IaaS data processing method based on cloud-edge collaboration and edge-edge collaboration architecture according to the present invention.
Detailed Description
In order that the objects and advantages of the invention will be more clearly understood, the invention is further described below with reference to examples; it should be understood that the specific embodiments described herein are merely illustrative of the invention and are not intended to limit the invention.
Preferred embodiments of the present invention are described below with reference to the accompanying drawings. It should be understood by those skilled in the art that these embodiments are only for explaining the technical principle of the present invention, and do not limit the scope of the present invention.
It should be noted that in the description of the present invention, the terms of direction or positional relationship indicated by the terms "upper", "lower", "left", "right", "inner", "outer", etc. are based on the directions or positional relationships shown in the drawings, which are only for convenience of description, and do not indicate or imply that the device or element must have a specific orientation, be constructed in a specific orientation, and be operated, and thus, should not be construed as limiting the present invention.
Furthermore, it should be noted that, in the description of the present invention, unless otherwise explicitly specified or limited, the terms "mounted," "connected," and "connected" are to be construed broadly, and may be, for example, fixedly connected, detachably connected, or integrally connected; can be mechanically or electrically connected; they may be connected directly or indirectly through intervening media, or they may be interconnected between two elements. The specific meanings of the above terms in the present invention can be understood by those skilled in the art according to specific situations.
Fig. 1 is a block diagram of an IaaS data processing system based on cloud-edge collaboration and edge-edge collaboration architecture according to the present invention, which includes:
the receiving module is used for receiving counting resource list information;
the data acquisition module is in data connection with the receiving module and is used for acquiring and processing the resource list information received by the receiving module, and the acquisition module comprises a first acquisition unit and a second acquisition unit, wherein the first acquisition unit is used for acquiring data used by a central cloud in the counting resource list information received by the receiving module, and the second acquisition unit is used for acquiring data used by an edge cloud in the counting resource list information received by the receiving module;
the central control module is connected with the data acquisition module and used for metering the counting resources output by the data acquisition module;
and the storage module is connected with the data acquisition module and is used for storing the data acquired by the data acquisition module.
When the first acquisition unit receives the counting resource list information output by the receiving module, the first acquisition unit judges the counting data collection time period according to the counting resource list information, scans the counting resource list information during collection to judge whether the edge cloud resources are instantiated or not, if the edge cloud resources are instantiated, the first acquisition unit starts and counts the resource list information after the activation information sent by the second acquisition unit, the second acquisition unit collects the instantiation resource quantity of the edge cloud resources according to the counting resource list transmitted by the first acquisition unit, selects an output interface to output to the first acquisition unit according to the judgment period after the collection is completed, and the first acquisition carries out comparison judgment and integration on the instantiation resource quantity of the edge cloud counting data input by the second acquisition unit and the instantiation resource quantity of the acquired counting data in the central cloud, and outputting the data to the central control module after the integration is finished, wherein the central control module judges counting measurement according to the resource quantity of the formed dynamic real-time counting data output by the first acquisition unit.
The invention has the advantages that after the counting data volume is determined by the first acquisition unit counting the resource list information and the data volume judgment collection period is counted, the first acquisition unit performs instantiation scanning judgment on the edge cloud resources when the first acquisition unit collects the data volume according to the judged collection period, on one hand, the edge cloud resources are instantiated by the first acquisition unit to scan, unqualified collected data caused by the fact that the edge cloud resources are instantiated and collected can be effectively avoided, on the other hand, when the edge cloud resources are judged to exist, the first acquisition unit activates the second acquisition unit and performs instantiation collection on the edge cloud resources by the second acquisition unit, meanwhile, the first acquisition unit performs instantiation collection on the center cloud resources, the working performance can be ensured, and then when the second acquisition unit completes collection and performs conveying on the first acquisition unit, the output is selected according to the judgment period of the first acquisition unit And the interface is sent, so that on one hand, the working performance can be ensured, and on the other hand, the consequence that the working performance is reduced because the selected transport interface does not meet the standard when the cloud counting data of the transport edge is instantiated into the resource quantity is avoided as much as possible.
Specifically, when the receiving module receives the counting resource list information, the first acquisition unit extracts the receiving counting resource list information and determines a counting data quantity S according to the receiving counting resource list information, the first acquisition unit compares S with a counting data quantity S0 of the first acquisition unit to determine a cycle of counting data collection, namely a first counting data quantity S1 and a second counting data quantity S2, wherein S1 is less than S2;
if S is less than S1, the first acquisition unit sets the counting data collection time as a first period;
if S1 is more than S2, the first acquisition unit sets the counting data collection time as a second period;
if S > S2, the first acquisition unit sets the count data collection time to a third period.
According to the invention, when the first acquisition unit judges the period of counting data collection, the first acquisition unit determines the counting data amount according to the counting resource list information received by the receiving module, and compares the counting data amount with the preset counting data amount to judge the period of counting data collection, so that the reduction of energy loss can be effectively ensured, the reduction of working performance caused by that the determined period does not accord with the standard due to the unclear counting data amount when the counting data is collected is further avoided, and meanwhile, the working performance is further improved.
Specifically, when the first collection unit judges that the collection cycle is completed and collects, the first collection unit scans whether the edge cloud resources are instantiated according to the counting resource list information, if the first collection unit judges that the edge cloud resources are instantiated, the first collection unit sends activation information and the counting resource list information to the second collection unit, and if the first collection unit scans that the edge cloud resources are not instantiated, the first collection unit collects the central cloud resource data according to the judged cycle.
According to the invention, when the first acquisition unit judges that the period of data acquisition is completed, the first acquisition unit scans whether the edge cloud resources are instantiated or not for the counting resource list information received by the receiving module, and if the edge cloud resources are scanned to be instantiated, the first acquisition unit sends the activation information and the counting resource list information to the second acquisition unit, so that the integrity of the data acquisition module for acquiring the counting resource list information and the accuracy of the counting resource list information acquisition can be effectively ensured, and the working performance is further improved.
Specifically, when the second acquisition unit receives the activation information and starts to collect the activation information, the second acquisition unit sends a counting data list data counting resource list through the first acquisition unit to determine the instantiated resource amount Lb of the edge cloud counting data, and the second acquisition unit compares the instantiated resource amount Lb of the edge cloud counting data with the instantiated resource amount Lb0 of the edge cloud counting data preset in the second acquisition unit to determine a data collection method;
if Lb is less than or equal to Lb0, the second acquisition unit judges as a first collection method;
if Lb > Lb0, the second acquisition unit determines a second collection method.
According to the invention, when the second acquisition unit is used for collecting the edge cloud counting data, the second acquisition unit sends the counting data list data counting resource list through the first acquisition unit to determine the instantiated resource quantity of the edge cloud counting data and judges the collection method according to the instantiated resource quantity of the edge cloud counting data, so that the accurate collection of the instantiated resource of the edge cloud counting data can be effectively ensured, further the reduction of the working performance caused by the waste of the collection time is avoided, and the working performance is further improved.
Specifically, when the second acquisition unit completes the collection of the marginal cloud counting data by the instantiated resources and sends the data to the first acquisition unit, the second acquisition unit extracts the collection period of the counting resource list information by the first acquisition unit and determines and conveys the conveying interface according to the collection period of the counting resource list information, and the second acquisition unit is provided with a first conveying interface, a second conveying interface and a third conveying interface according to the collection period.
Specifically, the edge cloud counting data preset by the second acquisition unit is instantiated with resource allowance Y0; when the second acquisition unit determines that the conveying interface is conveyed according to the counting resource list information collection period and reaches the preset time, the second acquisition unit detects that the currently conveyed edge cloud counting data is instantiated with resource allowance Y, and the second acquisition unit compares Y with Y0 to judge whether the data is qualified;
if Y is less than Y0, the second acquisition unit judges that the data source paths are not matched, the second acquisition unit controls the storage module to store instantiated resource quantity of edge cloud counting data and calculates a margin difference value to replace the conveying interface according to the margin difference value;
and if Y is larger than or equal to Y0, the second acquisition unit judges that the instantiated resource quantity of the edge cloud counting data is qualified for transmission.
According to the invention, when the second acquisition unit finishes the collection of the marginal cloud counting data by the instantiated resources and sends the marginal cloud counting data to the first acquisition unit, the second acquisition unit is provided with a plurality of sending interfaces, and when the second acquisition unit is used for conveying, the second acquisition unit extracts the information collection period of the counting resource list from the first acquisition unit and judges the conveying interface according to the information collection period of the counting resource list, so that the conveying efficiency can be effectively ensured, and the working performance is further improved.
Specifically, when the first acquisition unit integrates the counting data, the first acquisition unit judges the integration method according to the comparison between the instantiated resource amount La of the counting data in the center cloud and the instantiated resource amount Lb of the counting data in the edge cloud;
if J is larger than or equal to Jb, the first acquisition unit judges that the integration is preferentially carried out by taking the instantiated resource quantity of the central cloud counting data as a main part;
and if Ja is less than Jb, the first acquisition unit judges that the integration is preferentially carried out by taking the instantiated resource amount of the edge cloud counting data as the main part.
According to the counting data sorting method, when the first acquisition unit sorts the counting data, the first acquisition unit of the first acquisition unit compares the instantiated resource amount of the central cloud counting data with the instantiated resource amount of the edge cloud counting data, so that the sorting efficiency of the counting data can be effectively ensured, the condition that the sorted data does not meet the standard due to data disorder during sorting can be effectively avoided, and the working performance is improved.
Specifically, when the first acquisition unit determines that the edge cloud counting data is integrated by giving priority to the instantiated resource amount, the first acquisition unit scans the repeated part of the instantiated resource amount of the center cloud counting data and the instantiated resource amount of the edge cloud counting data, and if the repeated part of the instantiated resource amount of the center cloud counting data and the repeated part of the instantiated resource amount of the edge cloud counting data is less, the first acquisition unit continues to integrate by giving priority to the instantiated resource amount of the edge cloud counting data; if the number of the instantiated resource amount of the central cloud counting data and the number of the instantiated resource amount of the edge cloud counting data are more than the repetition number, the first acquisition unit preferentially integrates the instantiated resource amount of the central cloud counting data as a main part.
According to the invention, when the counting data of the first acquisition unit is integrated and transmitted to the central control module, the central control module compares the dynamic real-time counting data resource quantity input by the first acquisition unit with the dynamic real-time counting data resource quantity preset by the central control module to judge the counting grade, and the central control module compares the dynamic real-time counting data resource quantity with the preset dynamic real-time counting data resource quantity to judge the counting grade, so that the accuracy of the counting grade can be effectively ensured, meanwhile, the situation that the follow-up work cannot be carried out due to the fact that the counting grade does not meet the standard can be effectively avoided, and the working performance is further improved.
Specifically, when the counting data of the first acquisition unit is integrated and transmitted to the central control module, the central control module compares the dynamic real-time counting data resource quantity Z input by the first acquisition unit with a dynamic real-time counting data resource quantity Z0 preset by the central control module to determine counting and metering; the central control module is provided with a first dynamic real-time counting data resource amount Z1 and a first dynamic real-time counting data resource amount Z2, wherein Z1 is more than Z2
If Z is less than or equal to Z1, the central control module judges that the current dynamic real-time counting data resource amount is a first counting measurement;
if Z1 is larger than Z and smaller than or equal to Z2, the central control module judges the current dynamic real-time counting data resource amount to be a second counting measurement;
and if Z is more than Z2, the central control module judges the current dynamic real-time counting data resource amount to be a third counting amount.
According to the invention, when the counting data of the first acquisition unit is integrated and transmitted to the central control module, the central control module compares the dynamic real-time counting data resource quantity input by the first acquisition unit with the dynamic real-time counting data resource quantity preset by the central control module to judge the counting grade, and the central control module compares the dynamic real-time counting data resource quantity with the preset dynamic real-time counting data resource quantity to judge the counting grade, so that the accuracy of the counting grade can be effectively ensured, meanwhile, the situation that the follow-up work cannot be carried out due to the fact that the counting grade does not meet the standard can be effectively avoided, and the working performance is further improved.
Fig. 2 is a flowchart of an IaaS data processing method based on cloud-edge collaboration and edge-edge collaboration architecture according to the present invention, including:
step S1, the receiving module receives the counting resource list information and outputs the information to the first collecting unit;
step S2, the first collecting unit determines the counting data collecting period and collects the counting data according to the counting resource list information output by the receiving module; when the first acquisition unit is used for collecting, the first acquisition unit scans the counting resource list information to determine whether the edge cloud resources are instantiated, and if the edge cloud resources are judged to be instantiated, the first acquisition unit activates a second acquisition unit; the second acquisition unit is started after receiving the activation information sent by the first acquisition unit, collects the instantiated resource amount of the edge cloud resource according to the counting resource list sent by the first acquisition unit, and selects an output interface to send the output interface to the first acquisition unit according to a judgment cycle after the collection is completed;
step S3, the first acquisition unit integrates the instantiated resource amount of the central cloud counting data and the instantiated resource amount of the edge cloud counting data to form dynamic real-time counting data resources and transmits the dynamic real-time counting data resources to the central control module; the first acquisition unit compares the instantiated resource quantity of the central cloud counting data with the instantiated resource quantity of the edge cloud counting data to judge an integration mode;
and step S4, the central control module judges the metering level of the dynamic real-time resource counting data input by the first acquisition unit.
So far, the technical solutions of the present invention have been described in connection with the preferred embodiments shown in the drawings, but it is easily understood by those skilled in the art that the scope of the present invention is obviously not limited to these specific embodiments. Equivalent changes or substitutions of related technical features can be made by those skilled in the art without departing from the principle of the invention, and the technical scheme after the changes or substitutions can fall into the protection scope of the invention.
The above description is only a preferred embodiment of the present invention and is not intended to limit the present invention; various modifications and alterations to this invention will become apparent to those skilled in the art. Any modification, equivalent replacement, or improvement made within the spirit and principle of the present invention should be included in the protection scope of the present invention.
Claims (10)
1. An IAAS data processing system based on cloud edge and edge cooperative architecture is characterized by comprising:
the receiving module is used for receiving counting resource list information;
the data acquisition module is in data connection with the receiving module and is used for acquiring and processing the counting resource list information received by the receiving module, and the acquisition module comprises a first acquisition unit and a second acquisition unit, wherein the first acquisition unit is used for acquiring data used by a central cloud in the counting resource list information received by the receiving module, and the second acquisition unit is used for acquiring data used by an edge cloud in the counting resource list information received by the receiving module;
the central control module is connected with the data acquisition module and used for metering the counting resources output by the data acquisition module;
the storage module is connected with the data acquisition module and is used for storing the data acquired by the data acquisition module;
when the first acquisition unit receives the counting resource list information output by the receiving module, the first acquisition unit judges the counting data collection time period according to the counting resource list information, scans the counting resource list information during collection to judge whether the edge cloud resources are instantiated or not, if the edge cloud resources are instantiated, the first acquisition unit starts and counts the resource list information after the activation information sent by the second acquisition unit, the second acquisition unit collects the instantiation resource quantity of the edge cloud resources according to the counting resource list transmitted by the first acquisition unit, selects an output interface to output to the first acquisition unit according to the judgment period after the collection is completed, and the first acquisition carries out comparison judgment and integration on the instantiation resource quantity of the edge cloud counting data input by the second acquisition unit and the instantiation resource quantity of the acquired counting data in the central cloud, and outputting the data to the central control module after the integration is finished, wherein the central control module judges counting measurement according to the resource quantity of the formed dynamic real-time counting data output by the first acquisition unit.
2. The IAAS data processing system based on the cloud edge and edge cooperative architecture as claimed in claim 1, wherein when the receiving module receives the counting resource list information, the first collecting unit extracts the receiving counting resource list information and determines a counting data amount S according to the receiving counting resource list information, the first collecting unit compares S with the counting data amount S0 of the first collecting unit to determine a cycle of counting data collection, the first counting data amount S1 and the second counting data amount S2, wherein S1 < S2;
if S is less than S1, the first acquisition unit sets the counting data collection time as a first period;
if S1 is more than S2, the first acquisition unit sets the counting data collection time as a second period;
if S > S2, the first acquisition unit sets the count data collection time to a third period.
3. The IAAS data processing system according to claim 2, wherein when the first collection unit determines that the collection cycle is completed and performs collection, the first collection unit scans whether the edge cloud resource is instantiated according to the counting resource list information, if the first collection unit determines that the edge cloud resource is instantiated, the first collection unit sends activation information and the counting resource list information to the second collection unit, and if the first collection unit scans that the edge cloud resource is not instantiated, the first collection unit collects the center cloud resource data according to the period determined to be completed.
4. The IAAS data processing system based on the cloud edge and edge cooperative architecture as claimed in claim 3, wherein when the second collection unit receives the activation information and starts collection, the second collection unit determines the instantiated resource amount Lb of the edge cloud count data by sending a count data list data count resource list through the first collection unit, and the second collection unit compares the instantiated resource amount Lb of the edge cloud count data with the instantiated resource amount Lb0 of the edge cloud count data preset in the second collection unit to determine a data collection method;
if Lb is less than or equal to Lb0, the second acquisition unit judges as a first collection method;
if Lb > Lb0, the second acquisition unit determines a second collection method.
5. The IAAS data processing system based on the cloud edge and edge cooperative architecture as claimed in claim 4, wherein when the second collection unit completes collection of the edge cloud count data by instantiated resources and sends the edge cloud count data to the first collection unit, the second collection unit extracts a collection period of the count resource list information from the first collection unit and determines and conveys a conveying interface according to the collection period of the count resource list information, and the second collection unit is provided with a first conveying interface, a second conveying interface and a third conveying interface according to the collection period.
6. The IAAS data processing system based on the cloud edge and edge cooperative architecture as claimed in claim 5, wherein edge cloud count data preset by the second collection unit is instantiated with resource margin Y0; when the second acquisition unit determines that the conveying interface is conveyed according to the counting resource list information collection period and reaches the preset time, the second acquisition unit detects that the currently conveyed edge cloud counting data is instantiated with resource allowance Y, and the second acquisition unit compares Y with Y0 to judge whether the data is qualified;
if Y is less than Y0, the second acquisition unit judges that the data source paths are not matched, the second acquisition unit controls the storage module to store instantiated resource quantity of edge cloud counting data and calculates a margin difference value to replace the conveying interface according to the margin difference value;
and if Y is larger than or equal to Y0, the second acquisition unit judges that the instantiated resource quantity of the edge cloud counting data is qualified for transmission.
7. The IAAS data processing system based on the cloud edge and edge cooperative architecture as claimed in claim 5, wherein when the first collection unit integrates the count data, the first collection unit determines an integration method according to a comparison between an instantiated resource amount La of the count data in the center cloud and an instantiated resource amount Lb of the count data in the edge cloud;
if J is larger than or equal to Jb, the first acquisition unit judges that the integration is preferentially carried out by taking the instantiated resource quantity of the central cloud counting data as a main part;
and if Ja is less than Jb, the first acquisition unit judges that the integration is preferentially carried out by taking the instantiated resource amount of the edge cloud counting data as the main part.
8. The IAAS data processing system according to claim 7, wherein when the first collection unit preferentially integrates based on the instantiated resource amount of the edge cloud count data, the first collection unit scans the repeated portion of the instantiated resource amount of the center cloud count data and the instantiated resource amount of the edge cloud count data, and if the repeated portion of the instantiated resource amount of the center cloud count data and the repeated portion of the instantiated resource amount of the edge cloud count data is less, the first collection unit continues to integrate based on the instantiated resource amount of the edge cloud count data; if the number of the instantiated resource amount of the central cloud counting data and the number of the instantiated resource amount of the edge cloud counting data are more than the repetition number, the first acquisition unit preferentially integrates the instantiated resource amount of the central cloud counting data as a main part.
9. The IAAS data processing system based on the cloud edge and edge cooperative architecture as claimed in claim 7, wherein when the count data of the first collection unit is integrated and transmitted to the central control module, the central control module compares the count data resource quantity Z forming dynamic real-time input by the first collection unit with the count data resource quantity Z0 preset by the central control module to determine a count amount; the central control module is provided with a first dynamic real-time counting data resource amount Z1 and a first dynamic real-time counting data resource amount Z2, wherein Z1 is more than Z2
If Z is less than or equal to Z1, the central control module judges that the current dynamic real-time counting data resource amount is a first counting measurement;
if Z1 is larger than Z and smaller than or equal to Z2, the central control module judges the current dynamic real-time counting data resource amount to be a second counting measurement;
and if Z is more than Z2, the central control module judges the current dynamic real-time counting data resource amount to be a third counting amount.
10. An IAAS data processing method based on a cloud edge and edge cooperative architecture is characterized by comprising the following steps:
step S1, the receiving module receives the counting resource list information and outputs the information to the first collecting unit;
step S2, the first collecting unit determines the counting data collecting period and collects the counting data according to the counting resource list information output by the receiving module; when the first acquisition unit is used for collecting, the first acquisition unit scans the counting resource list information to determine whether the edge cloud resources are instantiated, and if the edge cloud resources are judged to be instantiated, the first acquisition unit activates a second acquisition unit; the second acquisition unit is started after receiving the activation information sent by the first acquisition unit, collects the instantiated resource amount of the edge cloud resource according to the counting resource list sent by the first acquisition unit, and selects an output interface to send the output interface to the first acquisition unit according to a judgment cycle after the collection is completed;
step S3, the first acquisition unit integrates the instantiated resource amount of the central cloud counting data and the instantiated resource amount of the edge cloud counting data to form dynamic real-time counting data resources and transmits the dynamic real-time counting data resources to the central control module; the first acquisition unit compares the instantiated resource quantity of the central cloud counting data with the instantiated resource quantity of the edge cloud counting data to judge an integration mode;
and step S4, the central control module judges the metering level of the dynamic real-time resource counting data input by the first acquisition unit.
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