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

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.