Task unloading strategy optimization method for cloud edge-end collaborative internet-of-things edge computing system
The invention provides a task unloading strategy optimization method for a cloud edge end collaborative internet of things edge computing system, which comprises the following steps of: constructing a model of the cloud edge end collaborative internet of things edge computing system, dividing tasks...
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Main Authors | , , , , , , , , , |
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Format | Patent |
Language | Chinese English |
Published |
05.05.2023
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Subjects | |
Online Access | Get full text |
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Summary: | The invention provides a task unloading strategy optimization method for a cloud edge end collaborative internet of things edge computing system, which comprises the following steps of: constructing a model of the cloud edge end collaborative internet of things edge computing system, dividing tasks of terminal equipment in the model into three parts, and performing parallel processing on a cloud server, an edge server and the terminal equipment; according to the model of the cloud edge-end collaborative internet of things edge computing system, the minimum weight matching is obtained according to the distance between the terminal equipment and each edge server, and the obtained result is determined as an unloading target S; after the unloading target S is determined, performing w times of iterative operation by taking the unloading rate alpha and the computing resource f as variables, and optimizing the unloading rate alpha and the computing resource f; and after the wth iteration is finished, calculating a s |
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Bibliography: | Application Number: CN202111269566 |