Coding-Based Large-Scale Task Assignment for Industrial Edge Intelligence | IEEE Journals & Magazine | IEEE Xplore

Coding-Based Large-Scale Task Assignment for Industrial Edge Intelligence


Abstract:

Industrial edge computing, combing various smart devices such as smart sensors, manufacturing equipment, and Internet of Things, has an ultimate goal to provide the indus...Show More

Abstract:

Industrial edge computing, combing various smart devices such as smart sensors, manufacturing equipment, and Internet of Things, has an ultimate goal to provide the industrial edge intelligence. Assigning large-scale tasks with multi-devices connection property for distributed edge servers is one of the main challenges to realize this goal. To address this question, a generative-coding group evolution algorithm, which involves a coding-based operator to approximate different sorts of evolutionary operators, is proposed in this paper. A simple grouping strategy is also introduced to accelerate the optimization process. Experimental results on three cases show that this algorithm is able to provide near-optimal solutions for large-scale tasks within a very short time compared with some traditional approaches.
Published in: IEEE Transactions on Network Science and Engineering ( Volume: 7, Issue: 4, 01 Oct.-Dec. 2020)
Page(s): 2286 - 2297
Date of Publication: 18 September 2019

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