Algorithm Research & Explore
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2647-2652

Service substitution method combining service clustering and collaboration similarity

Tian Yuqing
Peng Fei
Wang Huadong
Hu Qiang
College of Information Science & Technology, Qingdao University of Science & Technology, Qingdao Shandong 266061, China

Abstract

The current service substitution methods mainly focus on the function and quality matching between the substitutive service and invalid one. These methods rarely considered service collaboration. To solve the above problem, this paper proposed a service substitution method integrating service clustering and collaboration. Firstly, this method constructed service collaboration map according to service composition relationships. It used node2vec to sample node sequences and generate collaboration vectors from the service collaboration map. This method computed service collaboration similarity based on these collaboration vectors. Then, this paper introduced service clustering to reduce the search space during service substitution. It generated the candidate substitutive service set from the functional and quality levels. Finally, this method integrated the service quality score and collaboration similarity to achieve the recommendation of substitutive services. Experiments show that the proposed method can effectively improve the efficiency and rationality of service substitution.

Foundation Support

国家自然科学基金资助项目(61973180)
山东省自然科学基金资助项目(ZR2019MF033,ZR2021MF092)
山东省重点研发计划软科学项目(2021RKY02037)
云南省教育厅科学研究基金资助项目(2022J0635)

Publish Information

DOI: 10.19734/j.issn.1001-3695.2022.02.0045
Publish at: Application Research of Computers Printed Article, Vol. 39, 2022 No. 9
Section: Algorithm Research & Explore
Pages: 2647-2652
Serial Number: 1001-3695(2022)09-013-2647-06

Publish History

[2022-04-11] Accepted Paper
[2022-09-05] Printed Article

Cite This Article

田雨晴, 彭菲, 王华东, 等. 融合服务聚类与协作相似度的服务替换方法 [J]. 计算机应用研究, 2022, 39 (9): 2647-2652. (Tian Yuqing, Peng Fei, Wang Huadong, et al. Service substitution method combining service clustering and collaboration similarity [J]. Application Research of Computers, 2022, 39 (9): 2647-2652. )

About the Journal

  • Application Research of Computers Monthly Journal
  • Journal ID ISSN 1001-3695
    CN  51-1196/TP

Application Research of Computers, founded in 1984, is an academic journal of computing technology sponsored by Sichuan Institute of Computer Sciences under the Science and Technology Department of Sichuan Province.

Aiming at the urgently needed cutting-edge technology in this discipline, Application Research of Computers reflects the mainstream technology, hot technology and the latest development trend of computer application research at home and abroad in a timely manner. The main contents of the journal include high-level academic papers in this discipline, the latest scientific research results and major application results. The contents of the columns involve new theories of computer discipline, basic computer theory, algorithm theory research, algorithm design and analysis, blockchain technology, system software and software engineering technology, pattern recognition and artificial intelligence, architecture, advanced computing, parallel processing, database technology, computer network and communication technology, information security technology, computer image graphics and its latest hot application technology.

Application Research of Computers has many high-level readers and authors, and its readers are mainly senior and middle-level researchers and engineers engaged in the field of computer science, as well as teachers and students majoring in computer science and related majors in colleges and universities. Over the years, the total citation frequency and Web download rate of Application Research of Computers have been ranked among the top of similar academic journals in this discipline, and the academic papers published are highly popular among the readers for their novelty, academics, foresight, orientation and practicality.


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