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基于图卷积的云制造服务编码算法

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随着云制造模式及相关技术的发展,越来越多的服务提供者在云平台上发布并提供云服务业务.客户如何在大量功能相似、服务质量相近的云制造服务中检索并选择合适的云服务,已成为云平台运行过程中的难题.将服务关系与服务特征相结合,将制造过程中的协作关系引入服务哈希编码,对制造服务生成二进制编码,提出一种基于图卷积的云制造服务编码检索算法,通过采用汉明距离等方法度量服务间相似性,筛选服务候选集,提高算法效率.实验结果表明:该算法能够准确、有效地为服务平台上的客户提供良好的制造服务候选集.
Cloud Manufacturing Service Coding Algorithm Based on Graph Convolution
;With the development of cloud manufacturing mode and relevant technologies,more and more service providers publish and provide cloud service business on cloud platform.How to retrieve and select suitable cloud services from massive cloud manufacturing services with similar functions and service quality is a difficult problem in the operation process of cloud platforms.This paper combines the service relationship with the quality of service,introduces the cooperative relationship in the manufacturing process into the service hash encoding,and generates the binary encoding for the manufacturing service.A cloud manufacturing service code retrieval algorithm based on graph convolution was proposed.The algorithm improves the efficiency of the algorithm by measuring the similarity between services and screening the candidate sets of services by using methods such as hamming distance.The experiment results show that the algorithm can provide customers on service platform with a good candidate set of manufacturing services accurately and effectively.

cloud manufacturinggraph convolutionservice retrievehash codingdeep learning

朱海、谭文安、郭凯

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南京航空航天大学计算机科学与技术学院,江苏南京 211106

上海第二工业大学计算机与信息工程学院,上海201209

河南科技大学管理学院,河南洛阳 471023

河南省有色金属协同创新中心,河南洛阳471023

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云制造 图卷积 服务检索 哈希编码 深度学习

国家自然科学基金国家自然科学基金上海市研究生教育学会研究课题河南省软科学研究项目

61672022U1904186ShsgeG202207212400410019

2024

河南科技大学学报(自然科学版)
河南科技大学

河南科技大学学报(自然科学版)

CSTPCD北大核心
影响因子:0.673
ISSN:1672-6871
年,卷(期):2024.45(1)
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