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 WANG JUN, SUN YANBO, ZHANG JIANWEI, SHI ZHIBIN, NI ZHICHEN, CHE RONGJIE, CHEN HONGLONG, FU MIN, WANG ZHI, LYU JIAHUA
Format Patent
LanguageChinese
English
Published 05.05.2023
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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
Bibliography:Application Number: CN202111269566