Identifying microservices using structured system analysis

Stojanović, Tatjana; Lazarević, Saša; Milić, Miloš; Antović, Ilija

doi:10.1109/it48810.2020.9070652

Cited by 9 publications

(4 citation statements)

References 4 publications

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“…In a study by Khazaei et al [58], the authors first creates a microservice platform on Amazon EC2 cloud using Docker, then use the results from experiments run on this platform to establish a tractable analytical performance model that can be used to perform what-if analysis and capacity planning in a systematic manner for large scale microservices with a minimum amount of time and cost. Stojanovic et al [51] proposed a method to assess migration of monolith application into microservices where it analyzes data-flow diagram and identifies primitive functions that communicate with each other using data stores. Sun et al [56] use both model-based analysis and static analysis in their paper about decomposing monolithic Internet of Things systems into microservices, with both a topdown approach via analysis of the system's domain model and a bottom-up approach via static analysis of source code.…”

Section: Model-based Analysismentioning

confidence: 99%

“…The research goal of Matias et al [21] is to determine the best ways to set boundaries on microservices decomposed from a monolithic enterprise system through static and dynamic analysis of the system. Furthermore, Stojanovic et al proposed a structured system analysis to assist system migration to microservices [51]. Jin et al demonstrated a method of migration from monolith to microservices using the functionality of execution trace [33], whereas Kamimura et al [17] proposed this migra-tion using source code analysis.…”

Section: Migration To Microservicesmentioning

confidence: 99%

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On Microservice Analysis and Architecture Evolution: A Systematic Mapping Study

et al. 2021

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Microservice architecture has become the leading design for cloud-native systems. The highly decentralized approach to software development consists of relatively independent services, which provides benefits such as faster deployment cycles, better scalability, and good separation of concerns among services. With this new architecture, one can naturally expect a broad range of advancements and simplifications over legacy systems. However, microservice system design remains challenging, as it is still difficult for engineers to understand the system module boundaries. Thus, understanding and explaining the microservice systems might not be as easy as initially thought. This study aims to classify recently published approaches and techniques to analyze microservice systems. It also looks at the evolutionary perspective of such systems and their analysis. Furthermore, the identified approaches target various challenges and goals, which this study analyzed. Thus, it provides the reader with a roadmap to the discipline, tools, techniques, and open challenges for future work. It provides a guide towards choices when aiming for analyzing cloud-native systems. The results indicate five analytical approaches commonly used in the literature, possibly in combination, towards problems classified into seven categories.

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Section: Model-based Analysismentioning

confidence: 99%

Section: Migration To Microservicesmentioning

confidence: 99%

On Microservice Analysis and Architecture Evolution: A Systematic Mapping Study

et al. 2021

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“…It defined guidelines for identifying the domain and data storage for each microservice. The concept of primitive functions, data streams, data storage and interfaces has been used along with the data dictionary, the hierarchical set of data flow diagrams and the specification of the primary functions [26].…”

Section: Identification Of Microservicesmentioning

confidence: 99%

A Survey on Trending Topics of Microservices

2021

IJETER

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Microservice is an architectural style and a software development methodology. Microservices are used as a group of independent units with narrowly specified responsibilities that interact through well-described REST APIs. It is observed that the most challenging part in developing any application using microservice architecture is decomposing it into the correct level of granularity at design and run time, which requires good skills and domain knowledge. In this paper, some prominent topics in microservices analysis, such as determining the size and boundaries of microservices using various decomposition approaches and extraction of microservices from large monolithic applications have been discussed and analysed. Work pertaining to essential quality metrics required for a microservices-based system has also been surveyed. In this survey paper, we have identified how these topics are correlated and proposed some steps that might be beneficial in the transformation of monolithic applications into microservices.

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“…In fact, DFDs have been described as threat model diagrams because of their frequent use for this purpose [16]. Additionally, since the architecture maps well to DFDs, they are also used specifically for microservices [2,17,18]. DFDs depict the system components as nodes and the connections between them as directed edges.…”

Section: Introductionmentioning

confidence: 99%