Towards an Automatic Identification of Microservices from Business Processes

Daoud, Mohammed; Mezouari, Asmae El; Faci, Noura; Benslimane, Djamal; Maamar, Zakaria; Fazziki, Abdelaziz El

doi:10.1109/wetice49692.2020.00017

Cited by 4 publications

(2 citation statements)

References 11 publications

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“…Finally they filter out inappropriate service candidates. In [15], an automatic identification approach has been proposed from a set of business processes. Their multimodel approach combines different independent models that represent a business process like control, data, and semantic dependencies [16].…”

Section: Related Workmentioning

confidence: 99%

GreenMicro: Identifying Microservices From Use Cases in Greenfield Development

2022

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Microservices architecture is a new paradigm for developing a software system as a collection of independent services that communicate through lightweight protocols. In greenfield development, identifying the microservices is not a trivial task, as there is no legacy code lying around and no old development to start with. Thus, identification of microservices from requirements becomes an important decision during the analysis and design phase. Use cases play a vital role in the requirements analysis modeling phases in a model-driven software engineering process. It is a technique of capturing high-level user functions and scope of the system. In this paper, we propose GreenMicro, an automatic microservice identification technique that utilizes the use cases model and the database entities. Both features are the artifacts of analysis and design phase that depict complete functionality of an overall system. In essence, a collection of related use cases indicates a bounded context of the system that can be grouped in a suitable way as microservices. Therefore, our approach GreenMicro clusters close-knit use cases to recover meaningful microservices. We investigate and validate our approach on an in-house proprietary web application and three sample benchmark applications. We have mapped our approach to state-of-the-art software quality assessment attributes and have presented the results. Preliminary results are motivating and the proposed methodology works as anticipated in producing functionally cohesive and loosely coupled microservice candidate recommendations. Our approach enables the system architects to identify microservice candidates at an early analysis and design phase of development.

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Section: Related Workmentioning

confidence: 99%

GreenMicro: Identifying Microservices From Use Cases in Greenfield Development

2022

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“…In [16] the authors report on migration practices towards the adoption of microservices in industry, specifically on (i) the performed activities, and (ii) the challenges faced during the migration. [17] proposes an approach combining different independent models that represent a business process's control dependencies, data dependencies, semantic dependencies, respectively. The approach is also based on collaborative clustering.…”

Section: Related Workmentioning

confidence: 99%

The Shape of Your Cloud: How to Design and Run Polylithic Cloud Applications

Toka

2022

IEEE Access

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Nowadays the major trend in IT dictates deploying applications in the cloud, cutting the monolithic software into small, easily manageable and developable components, and running them in a microservice scheme. With these choices come the questions: which cloud service types to choose from the several available options, and how to distribute the monolith in order to best resonate with the selected cloud features. We propose a model that presents monolithic applications in a novel way and focuses on key properties that are crucial in the development of cloud-native applications. The model focuses on the organization of scaling units, and it accounts for the cost of provisioned resources in scale-out periods and invocation delays among the application components. We analyze dis-aggregated monolithic applications that are deployed in the cloud, offering both Container-as-a-Service (CaaS) and Function-as-a-Service (FaaS) platforms. We showcase the efficiency of our proposed optimization solution by presenting the reduction in operation costs as an illustrative example. We propose to group similarly low scale components together in CaaS, while running dynamically scaled components in FaaS. By doing so, the price is decreased as unnecessary memory provisioning is eliminated, while application response time does not show any degradation.

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A search-based identification of variable microservices for enterprise SaaS

Khoshnevis

2022

Front. Comput. Sci.

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Towards an Automatic Identification of Microservices from Business Processes

Cited by 4 publications

References 11 publications

GreenMicro: Identifying Microservices From Use Cases in Greenfield Development

GreenMicro: Identifying Microservices From Use Cases in Greenfield Development

The Shape of Your Cloud: How to Design and Run Polylithic Cloud Applications

A search-based identification of variable microservices for enterprise SaaS

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