Internet of Things service unloading decision-making methods based on edge computing and deep reinforcement learning
The invention provides Internet of Things service unloading decision-making methods based on edge computing and deep reinforcement learning, and belongs to the technical field of internet-of-things application. According to the Internet of Things service unloading decision-making methods, the Intern...
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| creator | XU LIANGYAN WANG LIN SU HAN ZHAO CAN WU XIAOYUN CHEN FANG HU WENJIAN MA YAN SUN JING WU TAO ZHANG YU ZHANG WEI GUO SIYAN ZHAO HUIFENG WANG FEI GUO JIAWEI SUN YINGHUI SUN LING HE LIPING LI XIA YANG YUHAO WANG DAIYUAN ZHANG YING ZHANG YIHUI YANG YANG CHEN RUIHUA WANG KE |
| description | The invention provides Internet of Things service unloading decision-making methods based on edge computing and deep reinforcement learning, and belongs to the technical field of internet-of-things application. According to the Internet of Things service unloading decision-making methods, the Internet of Things is constructed into SDIoT containing a plurality of regions, wherein the regions comprise region SDN controllers configured with service unloading decision-making models, and the region SDN controllers output service unloading decisions of an intelligent service in the regions accordingto the configured service unloading decision-making models. According to the invention, the inherent network structuralization problem in the traditional IoT is solved, the SDN technology is utilizedto separate a network control plane from a data forwarding plane, the whole network centralized view is obtained, the network security performance is ensured, and the powerful resource management andcontrol arrangement capabi |
| format | Patent |
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According to the Internet of Things service unloading decision-making methods, the Internet of Things is constructed into SDIoT containing a plurality of regions, wherein the regions comprise region SDN controllers configured with service unloading decision-making models, and the region SDN controllers output service unloading decisions of an intelligent service in the regions accordingto the configured service unloading decision-making models. According to the invention, the inherent network structuralization problem in the traditional IoT is solved, the SDN technology is utilizedto separate a network control plane from a data forwarding plane, the whole network centralized view is obtained, the network security performance is ensured, and the powerful resource management andcontrol arrangement capabi</abstract><oa>free_for_read</oa></addata></record> |
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| subjects | CALCULATING COMPUTING COUNTING ELECTRIC COMMUNICATION TECHNIQUE ELECTRIC DIGITAL DATA PROCESSING ELECTRICITY INFORMATION AND COMMUNICATION TECHNOLOGY [ICT] SPECIALLY ADAPTEDFOR SPECIFIC APPLICATION FIELDS PHYSICS TRANSMISSION OF DIGITAL INFORMATION, e.g. TELEGRAPHICCOMMUNICATION |
| title | Internet of Things service unloading decision-making methods based on edge computing and deep reinforcement learning |
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