Designing, implementing, and operating microservices is known to be complex and costly, mainly due to the multitude of heterogeneous software services forming a microservice-based application. Such tasks can be simpler if a specification of the microservice-based architecture (MSA) of an application is available. At the same time, due to the number of services and service interactions in a MSA, manually generating a specification of such MSA is complex and costly. For this reason, in this paper we present a novel technique for automatically mining the specification of a MSA from its Kubernetes deployment. The obtained MSA specification is in mu TOSCA, a microservice-oriented profile of the human- and machine-readable OASIS standard TOSCA. We also present a prototype implementation of our technique, which we use to assess it by means of case studies based on third-party applications.

Offline Mining of Microservice-based Architectures

Soldani, J
Primo
;
Khalili, J
Secondo
;
Brogi, A
Ultimo
2022-01-01

Abstract

Designing, implementing, and operating microservices is known to be complex and costly, mainly due to the multitude of heterogeneous software services forming a microservice-based application. Such tasks can be simpler if a specification of the microservice-based architecture (MSA) of an application is available. At the same time, due to the number of services and service interactions in a MSA, manually generating a specification of such MSA is complex and costly. For this reason, in this paper we present a novel technique for automatically mining the specification of a MSA from its Kubernetes deployment. The obtained MSA specification is in mu TOSCA, a microservice-oriented profile of the human- and machine-readable OASIS standard TOSCA. We also present a prototype implementation of our technique, which we use to assess it by means of case studies based on third-party applications.
2022
978-989-758-570-8
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Utilizza questo identificativo per citare o creare un link a questo documento: https://hdl.handle.net/11568/1183207
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