A Systematic Mapping Study in Microservice Architecture

Alshuqayran, Nuha; Alí, Nour; Evans, Roger

doi:10.1109/soca.2016.15

Cited by 279 publications

(177 citation statements)

References 34 publications

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“…In [1] Alshuqayran, Ali and Evans presented a systematic mapping study on microservice architecture. Their study focusses on (i) the architectural challenges faced by microservice-based systems, (ii) the architectural diagrams used for representing them, and (iii) the involved quality requirements.…”

Section: Main Findingsmentioning

confidence: 99%

Research on Architecting Microservices: Trends, Focus, and Potential for Industrial Adoption

Francesco

Malavolta

Lago

2017

2017 IEEE International Conference on Software Architecture (ICSA)

231

106

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Abstract-Microservices are a new trend rising fast from the enterprise world. Even though the design principles around microservices have been identified, it is difficult to have a clear view of existing research solutions for architecting microservices.In this paper we apply the systematic mapping study methodology to identify, classify, and evaluate the current state of the art on architecting microservices from the following three perspectives: publication trends, focus of research, and potential for industrial adoption. More specifically, we systematically define a classification framework for categorizing the research on architecting microservices and we rigorously apply it to the 71 selected studies. We synthesize the obtained data and produce a clear overview of the state of the art. This gives a solid basis to plan for future research and applications of architecting microservices.

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Section: Main Findingsmentioning

confidence: 99%

Research on Architecting Microservices: Trends, Focus, and Potential for Industrial Adoption

Francesco

Malavolta

Lago

2017

2017 IEEE International Conference on Software Architecture (ICSA)

231

106

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“…MSA design is generally preferred to the conventional Monolithic Architecture due to the fact that it can be continuously deployed and its scalability has no parallel while the conventional Monolithic Architecture lacks all these important features. Because of this undeniable charm of MSA design, most of the enterprises tend to prefer this design [6].…”

Section: A Microservicesmentioning

confidence: 99%

“…[3], [6]. Microservices architecture helps to develop the complex application along with the distribution of the application in chunks or units by composing it [1].…”

Section: A Microservicesmentioning

confidence: 99%

Matrix Clustering based Migration of System Application to Microservices Architecture

Ghayyur¹,

Razzaq²,

Ullah³

et al. 2018

ijacsa

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Abstract-A microservice architecture (MSA) style is an emerging approach which is gaining strength with the passage of time. Micro services are recommended by a number of researchers to overcome the limitations and issues encountered by usage of aging method of monolithic architecture styles. Previously the monolithic applications cannot be decomposed into smaller and different services. Monolithic styles application was the one build application. The issue resolution has the focus on lightweight independent application services in the form of sizable services, self-contained units with primary focus on maintenance, performance, scalability, and online services eliminating dependency. All quality factors have been thoroughly discussed in literature, system application migration is becoming an emerging issue with different challenges. This study is addressing the tight coupling to reducing this issue. Moreover, this literature review indicates some complex problems about the migration or conversion of system application into microservice. In architecture, dependency is a big challenge and issue in recent technology. Microservices are recommended by a number of researchers to overcome the limitations issue about how to migrate the existing system application to microservice. The need for a systematic mapping is essential in order to recap the improvement and identify the gaps and requirements for future studies. This study shows open issues first, new findings of quality attributes of microservices and then this study helps to understand the difference between previous traditional systems and microservices based systems. This research study creates awareness about system migration to microservices.

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“…In order to predict the instance of micro-service with burst requirements, the cost function of the prediction system is defined as formula (1) to describe the correntropy of prediction output and prediction, which could filter the non-liner noise of system. (•) is Gaussian kernel function and = − depicts the error between real output and predicted.…”

Section: Instances Expansion Algorithm For Micro-service With Predictionmentioning

confidence: 99%

“…Micro-service architecture is easier to deploy, update and expand than monolithic architecture [1]. It has been put into practice by Google, Facebook, Microsoft, Netflex.…”

Section: Introductionmentioning

confidence: 99%

Instance Expansion Algorithm for Micro-service with Prediction

Lin¹,

Wang²,

Wang³

2018

Proceedings of the 2018 Joint International Advanced Engineering and Technology Research Conference (JIAET 2018)

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Instances expansion of micro-service consumes time for constructing new instances, it can't satisfy the requirement of low latency service, such as scientific calculation workflows. In order to reduces the instance expansion time, an instance expansion algorithm for micro-service with prediction is proposed in this letter, which sets correntry as cost function and uses MCC (Maximum Correntropy Criterion) to filter the burst service requirements to improve the accuracy of prediction, and use stochastic gradient descent algorithm to train the data set to predict the required micro-service instances in the next time. The performance of the proposed algorithm are analysed in real experiment telecom office with the compared ones using A/B test, and the experiment results show that the proposed algorithm has 70% less time of instance expansion than the compared ones, and the accuracy of the proposed algorithm is 20% more than the compared one which uses LMS as the cost function.

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A Systematic Mapping Study in Microservice Architecture

Cited by 279 publications

References 34 publications

Research on Architecting Microservices: Trends, Focus, and Potential for Industrial Adoption

Research on Architecting Microservices: Trends, Focus, and Potential for Industrial Adoption

Matrix Clustering based Migration of System Application to Microservices Architecture

Instance Expansion Algorithm for Micro-service with Prediction

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