Domain sensitive unloading method for deep reasoning service in edge network

The invention relates to a domain sensitive unloading method oriented to a deep reasoning service in an edge network. In order to solve the problem that a deep learning model of domain specific knowledge deployed on an edge server has significant difference on performance expressions of different re...

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Hauptverfasser: LI JIALE, SHI YALIANG, XU XIANYANG, ZHAO ZHIWEI, CONG RONG
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creator LI JIALE
SHI YALIANG
XU XIANYANG
ZHAO ZHIWEI
CONG RONG
description The invention relates to a domain sensitive unloading method oriented to a deep reasoning service in an edge network. In order to solve the problem that a deep learning model of domain specific knowledge deployed on an edge server has significant difference on performance expressions of different reasoning tasks, the invention provides a method for selecting and deploying the edge server of a model domain most suitable for the reasoning tasks by fully utilizing diversity of the edge server model domain. Therefore, the unloading performance is improved. The method comprises the following steps: designing a field-sensitive unloading-oriented performance index for describing the sensitivity degrees of different learning model fields and unloading tasks to the model fields; designing an efficient retrieval mechanism, and retrieving information of a learning model deployment field on the edge server so as to determine the edge server providing inference service; and a calculation unloading algorithm oriented to th
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subjects CALCULATING
COMPUTER SYSTEMS BASED ON SPECIFIC COMPUTATIONAL MODELS
COMPUTING
COUNTING
ELECTRIC COMMUNICATION TECHNIQUE
ELECTRICITY
PHYSICS
TRANSMISSION OF DIGITAL INFORMATION, e.g. TELEGRAPHICCOMMUNICATION
title Domain sensitive unloading method for deep reasoning service in edge network
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