An Efficient Microservice Hybrid Composition Approach using QoS Based Service Selection towards Automation

Abstract

Nowadays, internet-centered e-business is growing dramatically. Semantic web attracts various researcher's attention towards developing the new business applications with the reusability of web components existing on the web. In this context, Microservice Architecture (MSA) development is gaining popularity towards the latest software development paradigms. Concerning effective searching, QoS parameters can be nominated as an essential parameter in discriminating the required service among the various available similar services in the web repository. User requirement is very complex and dynamic so it's challenging that a single microservice can provide the solution to the user. In this paper, QBPSSA (Quality of Service Based Preferred Service Selection Algorithm) is proposed for service selection and CCBCAFA (Clubbing Centroid Based Clustering and Association Finding Algorithm) is proposed for automating the process of service composition. Finally, a hybrid service composition approach is proposed for the effective microservice composition.