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Title:
FINE-GRAINED DATA STREAM RELIABLE OFFLOADING METHOD BASED ON CALLBACK MECHANISM
Document Type and Number:
WIPO Patent Application WO/2022/105090
Kind Code:
A1
Abstract:
A fine-grained data stream reliable offloading method based on a callback mechanism. The offloading method comprises: a client device establishing a connection with an edge cloud server according to MQTT; extracting a coarse-grained data stream according to a first specific frame fragment corresponding to a data stream type; using a convolutional neural network to extract a fine-grained data stream from a second specific frame fragment in the coarse-grained data stream; the client device determining whether the fine-grained data stream needs to be offloaded to a server; and if the fine-grained data stream needs to be offloaded to a server, a client uploading the fine-grained data stream to the edge cloud server, the edge cloud server returning an uplink callback message to the client device, the edge cloud server generating a result after processing data, and returning the result to the client device, and the client device returning downlink callback information to the edge cloud server; otherwise, directly locally processing, on the client device, the fine-grained data stream and generating a result. By means of the offloading method, the uploading of data to a server and the issuing of a result to a client are guaranteed on the basis of the callback mechanism, thereby significantly improving the QoE and improving the utilization rate of computing resources.

Inventors:
SHANG FENGJUN (CN)
WANG YIHAN (CN)
HAN WENJIN (CN)
Application Number:
PCT/CN2021/084849
Publication Date:
May 27, 2022
Filing Date:
April 01, 2021
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Assignee:
UNIV CHONGQING POSTS & TELECOM (CN)
International Classes:
G06F9/48; G06F9/445; G06F9/54; G06N3/02
Foreign References:
CN112286666A2021-01-29
CN108012121A2018-05-08
US20200293914A12020-09-17
Other References:
LIANG WENYAO: "Research on Traffic Aware Transmission Resource Allocation and Edge Computing Optimization Technology in Internet of Things", MASTER THESIS, TIANJIN POLYTECHNIC UNIVERSITY, CN, no. 8, 15 August 2019 (2019-08-15), CN , XP055931104, ISSN: 1674-0246
Attorney, Agent or Firm:
UNITALEN ATTORNEYS AT LAW (CN)
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