CN115277607B - Two-stage mimicry judgment method under complex flow condition of heterogeneous system - Google Patents
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Abstract
The invention provides a two-stage mimicry judgment method under the complex flow condition of a heterogeneous system, wherein the judgment is changed from one stage to two stages, the first-stage judgment is used for comparing each executive body with other executive body data as a main body, a first-stage judgment result is output, the second-stage judgment is analyzed after receiving the comparison results of a plurality of executive body channels, and the judgment result is selected and output according to a certain rule; the first-stage judgment comprises a first-stage judgment and a queue consistency judgment, wherein the first-stage judgment mainly comprises each data path for carrying out consistency judgment comparison of data between the path and other paths, the queue consistency judgment is used for consistency judgment comparison of order-preserving descriptors of a plurality of data paths, and the second-stage judgment carries out final judgment of first-stage judgment result output of a plurality of paths. When the method and the device are used for switching the main execution body, the order-preserving queue and the array are not perceived, the primary judgment is not perceived, only the secondary judgment is influenced, and no data is lost.
Description
Technical Field
The invention belongs to the field of heterogeneous systems, and particularly relates to a two-stage mimicry judgment method under the condition of complex flow of a heterogeneous system.
Background
The existing mimicry judgment architecture realizes mimicry judgment of a plurality of heterogeneous executor data, presets or selects one executor as a main body according to an operation state strategy, maintains a data descriptor of the main body executor as a sequence-preserving queue, and stores data descriptors of other executors into an array; when the judgment is carried out, the main execution body takes out the data descriptors from the order-preserving queue, searches the descriptors at the positions corresponding to the other execution body arrays according to the array storage address fields in the descriptors, carries out mimicry judgment on the descriptors taken out by the main execution body and the other execution bodies, and outputs a final judgment result.
The descriptor is the only data which can represent the fixed width of the source data and is obtained by special calculation according to the source data, and the descriptor comprises: data characteristics, data type, decision mode, time to live, array address; wherein the data characteristic is obtained by calculating source data; the data type is extracted from the source data; the decision mode is configurable; the survival time is the time when the data is input, and the numerical value can change along with the time; the array address is calculated by the source data.
The descriptor order-keeping queue and the descriptor storage array are storage areas for decision descriptors. The descriptors to be judged enter a descriptor ordering queue and a descriptor storage array at the same time; wherein the descriptor Fu Baoxu queue performs an order-preserving process for incoming descriptors, and the descriptor storage array extracts (the array address of the descriptor) and performs a corresponding row and column store for specific fields within the incoming descriptor.
The current implementation method has simple structure, but with the continuous upgrading of the mimicry processing architecture, the prior art has the following defects:
(1) Judging a main execution body, if the main execution body has data loss, finally outputting the main execution body with data loss, and recovering other execution body data by exceeding the survival time to release space and report errors;
(2) If the main body execution body is switched, all data in the order-preserving queue is required to be emptied and changed into data of a new main body execution body, and the data may be lost in the middle;
(3) If the main body executes the volume data to generate errors, the data output is not performed, but the system can enter a short non-output phenomenon, and the system is restored after the main body is switched.
Disclosure of Invention
In view of this, the present invention aims to provide a two-stage mimicry decision method under the complex flow condition of a heterogeneous system, so as to decide on a main execution body, and solve the problem that the dependency on the stability of the main execution body is too high.
In order to achieve the above purpose, the technical scheme of the invention is realized as follows:
a two-stage mimicry judgment method under the complex flow condition of a heterogeneous system comprises the following specific steps:
s1, forming a description Fu Baoxu queue of each execution body according to the time sequence of entering of each execution body descriptor, forming a descriptor storage array by each execution body descriptor according to an address segment in the descriptor, and starting a judgment if the system descriptor queue is not empty;
s2, carrying out queue consistency judgment on the description Fu Baoxu queue head data of all execution bodies, judging whether descriptors of all the execution bodies are consistent, outputting a queue consistency judgment result to a second-level judgment, if the data in the queue are consistent, considering that the present round of judgment is successful, outputting a judgment result, otherwise, continuing to execute the step S3;
s3, acquiring address segments of queue heads of all execution bodies in the descriptor order-preserving queue, searching descriptors in storage arrays of the other execution bodies according to the descriptor address segments of the main execution body, and finding that the descriptors are hit descriptors;
s4, each executive body is used as a main executive body, a first-level judgment module is correspondingly arranged, a hit descriptor is input into the first-level judgment module, the first-level judgment module compares the data characteristics of the hit descriptor with the data characteristics in the address segment descriptor of the main executive body, if the hit descriptor which is consistent in comparison is a correct descriptor, each other executive body outputs at most one correct descriptor, the number of the correct descriptors in the first-level judgment module of the main executive body is divided by the number of the other executive bodies to be the correct rate of the main executive body, a first-level judgment result of the main executive body is obtained, and the first-level judgment result corresponding to each main executive body is output to a second-level judgment;
s5, according to a judgment mode configured by the system, the secondary judgment outputs a secondary judgment result according to the correct rate and the weight, wherein the judgment is completely correct or the correct rate exceeds a set value, no judgment result is output to enter the next round of judgment, if the judgment fails, the current round of judgment data is discarded, and the secondary judgment result comprises an executive body for performing the secondary judgment and a correct descriptor corresponding to the executive body;
s6, if the secondary judgment result is output, reading out the order-preserving queue, releasing descriptor space with correct judgment corresponding to the array, and releasing a source data storage address corresponding to the descriptor;
and if the next round of judgment is carried out, sequentially taking out the next data of each execution body in the descriptor order-keeping queue, and executing the steps S4-S6.
Further, in step S2, queue consistency determination is performed on the descriptor order-preserving queue data of all the executors, specifically by the method,
each descriptor in the order-preserving queue enters the queue consistency judging module through the corresponding order-preserving channel,
the queue consistency judging module judges whether descriptors of all order-preserving channels are consistent, and if the descriptors in all order-preserving channels are consistent, the queue consistency judgment is consistent.
Further, in step S4, each executing body is provided with a first-level decision module as a main executing body, the hit descriptors are input into the first-level decision module, the first-level decision module compares the data features of the hit descriptors with the data features in the address segment descriptors of the main executing body, and if the hit descriptors which are consistent in comparison are correct descriptors, each other executing body outputs at most one correct descriptor, which is specifically implemented by:
s41, respectively carrying out channel mapping on the main execution body address segment descriptor and the hit descriptor, so that the data is kept in a consistent form when being transmitted to a judging unit;
s42, a plurality of decision units are arranged in each primary decision module, all the decision units input two groups of data, the two groups of data comprise a main execution body descriptor corresponding to the primary decision module and hit descriptors of the rest execution bodies,
the descriptors of the other execution bodies except the main execution body are input into a plurality of judgment units one to one, and the number of the judgment units is the total number of the execution bodies minus one;
s43, each judging unit searches the correct descriptors corresponding to the main executing body address segment descriptors in the rest executing body descriptors input into the judging unit, and if a plurality of correct descriptors are found, the fastest output descriptor in the judging unit is selected as the correct descriptor;
s44, the correct descriptors are output by the judging unit and are counted in the correct rate statistics of the first-stage judging module corresponding to the judging unit, and if the correct descriptors are not output by the judging unit, the statistics are not counted.
Further, in step S5, according to a decision mode configured by the system, the second level decides the correct rate of each executing body, the decision is completely correct or the consistency rate exceeds a set value, a decision result is output, no decision result is output to enter the next round of decision, and if the decision fails, the present round of decision data is discarded, the specific method is as follows:
the judgment mode judgment comprises a main channel judgment mode and a majority judgment mode;
if the main channel judging mode is adopted, the channel which outputs the correct rate to the second grade judging by the first grade judging of the executing body is the data channel, when the main channel judging mode is adopted, the data channel of the executing body which needs to be judged is determined to be the main channel according to the correct rate and the weight value in all the executing bodies,
if the primary judgment result data of the main channel is valid, the secondary judgment judges the accuracy rate of the execution body of the main channel, if the accuracy rate is hundred percent or the judgment is overtime, the secondary judgment result is output, and if the result is not output, the next round of judgment is carried out;
if the primary judgment result of the main channel is invalid, comprehensively selecting one data channel in a plurality of executive data channels according to the accuracy and the weight, judging the accuracy of the executive of the data channel, outputting a secondary judgment result if the accuracy is hundred percent or the judgment is overtime, and entering the next round of judgment if the accuracy is not output;
if the main channel judgment mode is not adopted, and when the multi-selection judgment mode is adopted, one data channel in a plurality of execution body data channels is comprehensively selected according to the correct rate and the weight, the correct rate of an execution body of the data channel is judged, the correct rate exceeds fifty percent, a judgment result is output, if the judgment result is overtime and the consistency correct rate is lower than fifty percent, the data judged in the round is abandoned for discarding, and if the result is not output, the judgment is carried out in the next round.
Further, the step of comprehensively selecting one of the plurality of execution body data channels according to the accuracy and the weight means that a data channel with a large weight is manually selected from the data channels with the accuracy output.
Compared with the prior art, the two-stage mimicry judgment method under the complex flow condition of the heterogeneous system has the following beneficial effects:
according to the two-stage mimicry judgment method under the complex flow condition of the heterogeneous system, when a plurality of heterogeneous executors are inconsistent in behavior and few executors miss data, the current judgment method does not have data loss, when the main executors are switched, the order-preserving queue and the array are not perceived, the primary judgment is not perceived, only the secondary judgment is influenced, and the data loss is avoided.
According to the two-stage mimicry judgment method under the complex flow condition of the heterogeneous system, the queue consistency judgment is set, consistency comparison is conducted on the order-preserving queues, judgment efficiency and accuracy are improved, the primary judgment is set, one judgment is conducted on each executive body, and judgment accuracy is improved.
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The accompanying drawings, which are included to provide a further understanding of the invention and are incorporated in and constitute a part of this specification, illustrate embodiments of the invention and together with the description serve to explain the invention. In the drawings:
FIG. 1 is a schematic diagram of a two-stage mimicry decision method under the complex flow condition of a heterogeneous system according to an embodiment of the present invention;
FIG. 2 is a schematic diagram of a first level decision according to an embodiment of the present invention;
fig. 3 is a schematic diagram of a secondary decision according to an embodiment of the present invention.
Detailed Description
It should be noted that, without conflict, the embodiments of the present invention and features of the embodiments may be combined with each other.
In the description of the present invention, it should be understood that the terms "center", "longitudinal", "lateral", "upper", "lower", "front", "rear", "left", "right", "vertical", "horizontal", "top", "bottom", "inner", "outer", etc. indicate orientations or positional relationships based on the orientations or positional relationships shown in the drawings, are merely for convenience in describing the present invention and simplifying the description, and do not indicate or imply that the devices or elements referred to must have a specific orientation, be configured and operated in a specific orientation, and thus should not be construed as limiting the present invention. Furthermore, the terms "first," "second," and the like, are used for descriptive purposes only and are not to be construed as indicating or implying a relative importance or implicitly indicating the number of technical features indicated. Thus, a feature defining "a first", "a second", etc. may explicitly or implicitly include one or more such feature. In the description of the present invention, unless otherwise indicated, the meaning of "a plurality" is two or more.
In the description of the present invention, it should be noted that, unless explicitly specified and limited otherwise, the terms "mounted," "connected," and "connected" are to be construed broadly, and may be either fixedly connected, detachably connected, or integrally connected, for example; can be mechanically or electrically connected; can be directly connected or indirectly connected through an intermediate medium, and can be communication between two elements. The specific meaning of the above terms in the present invention can be understood by those of ordinary skill in the art in a specific case.
The invention will be described in detail below with reference to the drawings in connection with embodiments.
As shown in fig. 1 to 3, a two-stage mimicry judgment method under the complex flow condition of a heterogeneous system comprises the following specific steps:
s1, forming a description Fu Baoxu queue of each execution body according to the time sequence of entering of each execution body descriptor, forming a descriptor storage array by each execution body descriptor according to an address segment in the descriptor, and starting a judgment if the system descriptor queue is not empty;
s2, carrying out queue consistency judgment on the description Fu Baoxu queue head data of all execution bodies, judging whether descriptors of all the execution bodies are consistent, outputting a queue consistency judgment result to a second-level judgment, if the data in the queue are consistent, considering that the present round of judgment is successful, outputting a judgment result, otherwise, continuing to execute the step S3;
s3, acquiring address segments of queue heads of all execution bodies in the descriptor order-preserving queue, searching descriptors in storage arrays of the other execution bodies according to the descriptor address segments of the main execution body, and finding that the descriptors are hit descriptors;
s4, each executive body is used as a main executive body, a first-level judgment module is correspondingly arranged, a hit descriptor is input into the first-level judgment module, the first-level judgment module compares the data characteristics of the hit descriptor with the data characteristics in the address segment descriptor of the main executive body, if the hit descriptor which is consistent in comparison is a correct descriptor, each other executive body outputs at most one correct descriptor, the number of the correct descriptors in the first-level judgment module of the main executive body is divided by the number of the other executive bodies to be the correct rate of the main executive body, a first-level judgment result of the main executive body is obtained, and the first-level judgment result corresponding to each main executive body is output to a second-level judgment;
the data feature is a unique value calculated by inputting each executive into the original data of the system.
S5, according to a judgment mode configured by the system, the secondary judgment outputs a secondary judgment result according to the correct rate and the weight, wherein the judgment is completely correct or the correct rate exceeds a set value, no judgment result is output to enter the next round of judgment, if the judgment fails, the current round of judgment data is discarded, and the secondary judgment result comprises an executive body for performing the secondary judgment and a correct descriptor corresponding to the executive body;
s6, if the secondary judgment result is output, reading out the order-preserving queue, releasing descriptor space with correct judgment corresponding to the array, and releasing a source data storage address corresponding to the descriptor;
and if the next round of judgment is carried out, sequentially taking out the next data of each execution body in the descriptor order-keeping queue, and executing the steps S4-S6.
As shown in fig. 1 and 2, in step S2, queue consistency determination is performed on the descriptor order-preserving queue data of all the executors, specifically by,
each descriptor in the order-preserving queue enters the queue consistency judging module through the corresponding order-preserving channel,
the queue consistency judging module judges whether descriptors of all order-preserving channels are consistent, and if the descriptors in all order-preserving channels are consistent, the queue consistency judgment is consistent.
As shown in fig. 1 and fig. 2, in step S4, each executing body is provided with a first-level decision module corresponding to the main executing body, the hit descriptors are input into the first-level decision module, the first-level decision module compares the data features of the hit descriptors with the data features in the address field descriptors of the main executing body, and if the hit descriptors which are consistent in comparison are correct descriptors, each other executing body outputs at most one correct descriptor, which is specifically implemented by:
s41, respectively carrying out channel mapping on the main execution body address segment descriptor and the hit descriptor, so that the data is kept in a consistent form when being transmitted to a judging unit;
s42, a plurality of decision units are arranged in each primary decision module, all the decision units input two groups of data, the two groups of data comprise a main execution body descriptor corresponding to the primary decision module and hit descriptors of the rest execution bodies,
the descriptors of the other execution bodies except the main execution body are input into a plurality of judgment units one to one, and the number of the judgment units is the total number of the execution bodies minus one;
the memory array comprises a plurality of rows and a plurality of columns, wherein each row represents the address information of one execution body, and each column represents a plurality of groups of descriptors of the address information;
s43, each judging unit searches the correct descriptors corresponding to the main executing body address segment descriptors in the rest executing body descriptors input into the judging unit, and if a plurality of correct descriptors are found, the fastest output descriptor in the judging unit is selected as the correct descriptor;
s44, the correct descriptors are output by the judging unit and are counted in the correct rate statistics of the first-stage judging module corresponding to the judging unit, and if the correct descriptors are not output by the judging unit, the statistics are not counted.
As shown in fig. 3, in step S5, according to a decision mode configured by the system, the second level decision decides the correct rate of each executing body, the decision is completely correct or the consistency rate exceeds a set value, a decision result is output, no decision result is output to enter the next round of decision, and if the decision fails, the present round of decision data is discarded, specifically, the method is as follows:
the judgment mode judgment comprises a main channel judgment mode and a majority judgment mode;
if the main channel judging mode is adopted, the channel which outputs the correct rate to the second grade judging by the first grade judging of the executing body is the data channel, when the main channel judging mode is adopted, the data channel of the executing body which needs to be judged is determined to be the main channel according to the correct rate and the weight value in all the executing bodies,
if the primary judgment result data of the main channel is valid, the secondary judgment judges the accuracy rate of the execution body of the main channel, if the accuracy rate is hundred percent or the judgment is overtime, the secondary judgment result is output, and if the result is not output, the next round of judgment is carried out;
if the primary judgment result of the main channel is invalid, comprehensively selecting one data channel in a plurality of executive data channels according to the accuracy and the weight, judging the accuracy of the executive of the data channel, outputting a secondary judgment result if the accuracy is hundred percent or the judgment is overtime, and entering the next round of judgment if the accuracy is not output;
if the main channel judgment mode is not adopted, and when the multi-selection judgment mode is adopted, one data channel in a plurality of execution body data channels is comprehensively selected according to the correct rate and the weight, the correct rate of an execution body of the data channel is judged, the correct rate exceeds fifty percent, a judgment result is output, if the judgment result is overtime and the consistency correct rate is lower than fifty percent, the data judged in the round is abandoned for discarding, and if the result is not output, the judgment is carried out in the next round.
The comprehensive selection of one data channel of the execution body data channels according to the accuracy and the weight refers to the selection of a data channel with a manually set weight from the data channels with the accuracy output.
The foregoing description of the preferred embodiments of the invention is not intended to be limiting, but rather is intended to cover all modifications, equivalents, alternatives, and improvements that fall within the spirit and scope of the invention.
Claims (4)
1. A two-stage mimicry judgment method under the condition of complex flow of a heterogeneous system is characterized by comprising the following steps of: the method comprises the following specific steps:
s1, forming a description Fu Baoxu queue of each execution body according to the time sequence of entering of each execution body descriptor, forming a descriptor storage array by each execution body descriptor according to an address segment in the descriptor, and starting a judgment if the system descriptor queue is not empty;
s2, carrying out queue consistency judgment on the description Fu Baoxu queue head data of all execution bodies, judging whether descriptors of all the execution bodies are consistent, outputting a queue consistency judgment result to a second-level judgment, if the data in the queue are consistent, considering that the present round of judgment is successful, outputting a judgment result, otherwise, continuing to execute the step S3;
in step S2, queue consistency decision is performed on the descriptor order-preserving queue data of all executors, specifically by the method,
each descriptor in the order-preserving queue enters the queue consistency judging module through the corresponding order-preserving channel,
the queue consistency judging module judges whether descriptors of all order-preserving channels are consistent, and if the descriptors in all order-preserving channels are consistent, the queue consistency judgment is consistent;
s3, acquiring address segments of queue heads of all execution bodies in the descriptor order-preserving queue, searching descriptors in storage arrays of the other execution bodies according to the descriptor address segments of the main execution body, and finding that the descriptors are hit descriptors;
s4, each executive body is used as a main executive body, a first-level judgment module is correspondingly arranged, a hit descriptor is input into the first-level judgment module, the first-level judgment module compares the data characteristics of the hit descriptor with the data characteristics in the address segment descriptor of the main executive body, if the hit descriptor which is consistent in comparison is a correct descriptor, each other executive body outputs at most one correct descriptor, the number of the correct descriptors in the first-level judgment module of the main executive body is divided by the number of the other executive bodies to be the correct rate of the main executive body, a first-level judgment result of the main executive body is obtained, and the first-level judgment result corresponding to each main executive body is output to a second-level judgment;
s5, according to a judgment mode configured by the system, the secondary judgment outputs a secondary judgment result according to the correct rate and the weight, wherein the judgment is completely correct or the correct rate exceeds a set value, no judgment result is output to enter the next round of judgment, if the judgment fails, the current round of judgment data is discarded, and the secondary judgment result comprises an executive body for performing the secondary judgment and a correct descriptor corresponding to the executive body;
s6, if the secondary judgment result is output, reading out the order-preserving queue, releasing descriptor space with correct judgment corresponding to the array, and releasing a source data storage address corresponding to the descriptor;
and if the next round of judgment is carried out, sequentially taking out the next data of each execution body in the descriptor order-keeping queue, and executing the steps S4-S6.
2. The method for two-stage mimicry judgment under the complex flow condition of a heterogeneous system according to claim 1, wherein the method is characterized by comprising the following steps of: in step S4, each executing body is correspondingly provided with a first-level decision module as a main executing body, the hit descriptors are input into the first-level decision module, the first-level decision module compares the data features of the hit descriptors with the data features in the address segment descriptors of the main executing body, and if the hit descriptors which are consistent in comparison are correct descriptors, each other executing body outputs at most one correct descriptor, and the specific method comprises:
s41, respectively carrying out channel mapping on the main execution body address segment descriptor and the hit descriptor, so that the data is kept in a consistent form when being transmitted to a judging unit;
s42, a plurality of decision units are arranged in each primary decision module, all the decision units input two groups of data, the two groups of data comprise a main execution body descriptor corresponding to the primary decision module and hit descriptors of the rest execution bodies,
the descriptors of the other execution bodies except the main execution body are input into a plurality of judgment units one to one, and the number of the judgment units is the total number of the execution bodies minus one;
s43, each judging unit searches the correct descriptors corresponding to the main executing body address segment descriptors in the rest executing body descriptors input into the judging unit, and if a plurality of correct descriptors are found, the fastest output descriptor in the judging unit is selected as the correct descriptor;
s44, the correct descriptors are output by the judging unit and are counted in the correct rate statistics of the first-stage judging module corresponding to the judging unit, and if the correct descriptors are not output by the judging unit, the statistics are not counted.
3. The method for two-stage mimicry judgment under the complex flow condition of a heterogeneous system according to claim 1, wherein the method is characterized by comprising the following steps of: in step S5, according to the decision mode configured by the system, the second level decision decides the correct rate of each executing body, decides that the correct rate is completely correct or the consistency rate exceeds a set value, outputs a decision result, outputs no decision result to enter the next round of decision, and if the decision fails, discards the decision data of the present round, the specific method is as follows:
the judgment mode judgment comprises a main channel judgment mode and a majority judgment mode;
if the main channel judging mode is adopted, the channel which outputs the correct rate to the second grade judging by the first grade judging of the executing body is the data channel, when the main channel judging mode is adopted, the data channel of the executing body which needs to be judged is determined to be the main channel according to the correct rate and the weight value in all the executing bodies,
if the primary judgment result data of the main channel is valid, the secondary judgment judges the accuracy rate of the execution body of the main channel, if the accuracy rate is hundred percent or the judgment is overtime, the secondary judgment result is output, and if the result is not output, the next round of judgment is carried out;
if the primary judgment result of the main channel is invalid, comprehensively selecting one data channel in a plurality of executive data channels according to the accuracy and the weight, judging the accuracy of the executive of the data channel, outputting a secondary judgment result if the accuracy is hundred percent or the judgment is overtime, and entering the next round of judgment if the accuracy is not output;
if the main channel judgment mode is not adopted, and when the multi-selection judgment mode is adopted, one data channel in a plurality of execution body data channels is comprehensively selected according to the correct rate and the weight, the correct rate of an execution body of the data channel is judged, the correct rate exceeds fifty percent, a judgment result is output, if the judgment result is overtime and the consistency correct rate is lower than fifty percent, the data judged in the round is abandoned for discarding, and if the result is not output, the judgment is carried out in the next round.
4. A two-stage mimicry decision method under complex flow conditions of a heterogeneous system according to claim 3, wherein: the comprehensive selection of one data channel of the execution body data channels according to the accuracy and the weight refers to the selection of a data channel with a manually set weight from the data channels with the accuracy output.
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