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Microservices priority estimation for IoT platform based on analytic hierarchy process and fuzzy comprehensive method

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Abstract

The microservice architecture shows great potentials in business solutions by providing agile response to emerging demands, which is believed a fundamental shift in innovative software development. However, the microservices are still facing a number challenges, including monolithic applications, limited reuse, operational agility, etc. This work focuses on building microservices in the Internet of Things environment by overcoming above challenges. Specifically, a microservices priority assessment method is proposed by combing the analytic hierarchy process (AHP) and fuzzy comprehensive evaluation (FCE), in which AHP is used to calculate the weights of the related factors, while FCE is used for comprehensive evaluation to determine the priority of microservices. The experimental results on an IoT platform demonstrate the effectiveness of the proposed solution. Moreover, it is found that the most influential factors of the microservices priority are non-resource factors, and occupy the majority of the proportion.

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Funding

This work was supported by Special Funds for the Construction of an Innovative Province of Hunan, No. 2022GK4009, Special Funds for the Construction of an Innovative Province of Hunan, No.2020GK2028, and Research Project of Teaching Reform in Hunan Ordinary Colleges and Universities, No. HNJG-2021-1139.

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Authors and Affiliations

  1. School of Computer Science and Engineering, Central South University, Changsha, 410075, China

    Jianyu Xiao & Wei Su

  2. Department of Computer Science and Creative Technologies, University of the West of England, Bristol, BS16 1QY, UK

    Shancang Li

  3. School of Information Technology and Management, Hunan University of Finance and Economics, Changsha, 410205, China

    Huanhua Liu

Authors
  1. Jianyu Xiao
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  2. Wei Su
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  3. Shancang Li
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  4. Huanhua Liu
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Correspondence to Huanhua Liu.

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This article belongs to the Topical Collection: Special Issue on Resource Management at the Edge for Future Web, Mobile and IoT Applications Guest Editors: Qiang He, Fang Dong, Chenshu Wu, and Yun Yang

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Xiao, J., Su, W., Li, S. et al. Microservices priority estimation for IoT platform based on analytic hierarchy process and fuzzy comprehensive method. World Wide Web 25, 1851–1862 (2022). https://doi.org/10.1007/s11280-021-00937-9

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  • DOI: https://doi.org/10.1007/s11280-021-00937-9

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