Nested dynamic environment change detection method
A dynamic environment and change detection technology, applied in the direction of resource allocation, program control design, instruments, etc., can solve the problem that it cannot be applied in most situations, and achieve the effect of improving the accuracy rate and accurate prediction
Active Publication Date: 2016-03-09
TIANJIN UNIV
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[0020] However, these detection methods are one-sided, and can only respond correctly to special situations, and cannot be applied to most situations.
For a system with very high reliability requirements, this would have catastrophic consequences
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[0040] A nested dynamic environment change detection method of the present invention will be described in detail below in conjunction with the embodiments and the accompanying drawings.
[0041] Such as figure 2 As shown, a nested dynamic environment change detection method of the present invention is characterized in that it comprises the following steps:
[0042] 1) Extract the characteristic parameters related to the current division task set, set the environment change flag bit flag=0, and stipulate that when the environment change flag bit flag is 1, it means that the environment changes; when the environment change flag bit flag is 0, it means The environment has not changed;
[0043] The characteristic parameters include: node number n, fitness function f, adjacency matrix E n×n , performance constraint vector L n×1 , the node attribute matrix Node n×2 .
[0044] 2) Set the sampling number as M;
[0045] 3) Judging the current environment division scale n cur Di...
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The present invention discloses a nested dynamic environment change detection method. The method comprises: extracting characteristic parameters related to a current division task set; setting a sampling number as M; determining whether the current environment division scale is equal to the previous environment division scale or not; evaluating the fitness of M sampling individuals in the current environment, determining whether the fitness is the same with that under the previous environment evaluation or not, so as to determine whether a fitness function of the current environment is equal to that in the previous environment or not; successively determining whether each component in a performance constraint set of the current environment is equal to each corresponding component in a performance constraint set of the previous environment or not; successively determining whether values at M corresponding positions of an adjacency matrix in the current environment are equal to those at M corresponding positions of an adjacency matrix in the previous environment; successively determining whether values at M corresponding positions in node attributes of the current environment are equal to those at M corresponding positions in node attributes of the previous environment; and ending the detection. The nested dynamic environment change detection method disclosed by the present invention enables an algorithm to be able to predict changes of dynamic problems more accurately.
Description
technical field [0001] The invention relates to a dynamic environment change detection method. In particular, it involves a nested dynamic environment change detection method. Background technique [0002] The dynamic software and hardware partition problem means that when solving the software and hardware partition problem, the task set to be divided faced by the system is uncertain, and the optimization algorithm must detect the structure of the task set to determine what strategy to use to adapt to the latest environment . In a dynamic environment, great attention is paid to the real-time performance of the partition algorithm, which requires the partition algorithm to have the ability to handle dynamic software and hardware partitions. Therefore, the partition algorithm needs to design an adaptive algorithm according to the characteristics of the dynamic environment to meet the performance and reliability requirements of the actual system. [0003] Mathematical model ...
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IPC IPC(8): G06N3/12G06F9/50
CPCG06F9/5027G06F2209/5017G06N3/12
Inventor 张涛赵鑫余益科高新意
Owner TIANJIN UNIV