Migrating Monolithic Mobile Application to Microservice Architecture: An Experiment Report

Fan, Chen-Yuan; Ma, Shang‐Pin

doi:10.1109/aims.2017.23

Cited by 77 publications

(54 citation statements)

References 3 publications

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“…Several researchers have reviewed their experiences in transitioning a system based on the monolithic architecture to the microservices‐based architectures. Fan and Ma proposed an approach to translate a monolithic application to MSA, which involves all the phases in the software development life cycle . While migrating, several aspects such as the communication mode and technologies needs to be carefully chosen.…”

Section: Migration To Microservices Architecturesmentioning

confidence: 99%

Straddling the crevasse: A review of microservice software architecture foundations and recent advancements

Joseph

Chandrasekaran

2019

Softw Pract Exp

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Microservice architecture style has been gaining wide impetus in the software engineering industry. Researchers and practitioners have adopted the microservices concepts into several application domains such as the internet of things, cloud computing, service computing, and healthcare. Applications developed in alignment with the microservices principles require an underlying platform with management capabilities to coordinate the different microservice units and ensure that the application functionalities are delivered to the user. A multitude of approaches has been proposed for the various tasks in microservices-based systems. However, since the field is relatively young, there is a need to organize the different research works. In this study, we present a comprehensive review of the research approaches directed toward microservice architectures and propose a multilevel taxonomy to categorize the existing research. The study also discusses the different distributed computing paradigms employing microservices and identifies the open research challenges in the domain.

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Section: Migration To Microservices Architecturesmentioning

confidence: 99%

Straddling the crevasse: A review of microservice software architecture foundations and recent advancements

Joseph

Chandrasekaran

2019

Softw Pract Exp

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“…Scalability in the context of evolution is driven by the need to have software systems that are continuously connected and available on the go as a self-sufficient platform. A total of 2 studies have been identified, i.e., 07% of studies supporting software scalability as a motivating factor for software evolution to mobile computing (Fan and Ma, 2017;Businge et al, 2018).  Service Availability: It refers to the continuous availability of computing and software services to its users.…”

Section: Motivating Factors For Software Migration To Mobilementioning

confidence: 99%

Motivations, challenges, and process support for the evolution of existing software to mobile computing platforms

Alseadoon¹

2021

Int. j. adv. appl. sci.

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Software maintenance and evolution support changes in the structure and behavior of existing software to change it as per the needs and demands of new requirements. The majority of the existing software systems lack features of mobile computing such as portability, context-awareness, connectivity, and high interactivity. The evolution of the existing software for mobile computing platforms can enable these systems to retain their core data and logic while acquiring new features that are compatible with mobile systems. The objectives of this research are to (i) systematically identify the motivations and challenges of software evolution for mobile computing, and (ii) develop and validate a process model that supports the evolution of existing software to a mobile computing platform. To conduct this research, an empirical software engineering approach has been adopted to investigate existing solutions (30 published studies from 1996 to 2019) and empirically derive a process model that supports software evolution for mobile computing. A case study-based approach is adopted to demonstrate the process-centric evolution of existing software as a mobile-enabled application. Case study-based demonstration highlights that the proposed process (i) supports an incremental evolution and (ii) allows user-decision support to guide the evolution process. Evaluation results highlight computation and energy efficiency along with enhanced usability of a mobile application when executed on resource-constrained mobile devices. The results of this research could help researchers and practitioners to rationalize motivations and challenges to utilize a process-based approach to evolve existing or aging software for mobile computing platforms. Future research is focused on providing patterns and tool support to automate and customize the evolution process.

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“…As part of the concept of a low-cost platform, this work is based on the proposal of a microservices architecture; this is capable of supporting general service communication with the central cloud environment [9], and in conjunction with a machine learning subsystem can improve decision support for the pre-diagnosis of infectious diseases [6]. Structurally, the SPIDEP platform was developed using microservices architecture (with nine separate services), in which these services work as asynchronous nodes distributed as groups [26], [50], [51] which communicate via the REST communication protocol [52]. It should be noted that the breakdown of the components into small independent services was based on our preliminary proposal for a software architecture for SPIDEP (with five layers), referred to here as version Beta v1 [14].…”

Section: ) Platformmentioning

confidence: 99%

“…Three versions of this project were developed: version Alpha (partial implementation of three microservices, with instances using MariaDB) [5], version Beta v1 (implementation of five microservices with instances using a MariaDB Galera cluster) [14], and version Beta v2 (current implementation of the new microservices architecture, with hybrid instances in MariaDB Galera Cluster and NoSQL), with the aims of achieving the characteristics necessary for the implementation of versatile high-performance applications and identifying the key services for the optimal operation of version Beta v1. The existing components were therefore decomposed and restructured along with their data [16], [18], [52].…”

Section: ) Platformmentioning

confidence: 99%

“…• The call to the different microservices corresponding to the credentials is established (by a nurse, doctor, IT developer or administrator). • Based on the considerations described above, microservices are classified based on the common characteristics of their operation [52], [53] into three groups [14]: the first performs the control and management of user accounts, roles, permissions [54] and manages the measurements received from the biosensors [55], [56]; the second group administers the different patients, affiliated institutions and manages the medical data collected by the first group [14]; and the third is responsible for infectious disease registries. It is also responsible for receiving notifications from the clinical decision support system (CDSS) for the prevention, treatment and management of the three groups of infectious diseases, using the model detailed by Baldominos et al [6].…”

Section: ) Platformmentioning

confidence: 99%

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Telemonitoring System for Infectious Disease Prediction in Elderly People Based on a Novel Microservice Architecture

et al. 2020

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This article describes the design, development and implementation of a set of microservices based on an architecture that enables detection and assisted clinical diagnosis within the field of infectious diseases of elderly patients, via a telemonitoring system. The proposed system is designed to continuously update a medical database fed with vital signs from biosensor kits applied by nurses to elderly people on a daily basis. The database is hosted in the cloud and is managed by a flexible microservices software architecture. The computational paradigms of the edge and the cloud were used in the implementation of a hybrid cloud architecture in order to support versatile high-performance applications under the microservices pattern for the pre-diagnosis of infectious diseases in elderly patients. The results of an analysis of the usability of the equipment, the performance of the architecture and the service concept show that the proposed e-health system is feasible and innovative. The system components are also selected to give a cost-effective implementation for people living in disadvantaged areas. The proposed e-health system is also suitable for distributed computing, big data and NoSQL structures, thus allowing the immediate application of machine learning and AI algorithms to discover knowledge patterns from the overall population.

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Migrating Monolithic Mobile Application to Microservice Architecture: An Experiment Report

Cited by 77 publications

References 3 publications

Straddling the crevasse: A review of microservice software architecture foundations and recent advancements

Straddling the crevasse: A review of microservice software architecture foundations and recent advancements

Motivations, challenges, and process support for the evolution of existing software to mobile computing platforms

Telemonitoring System for Infectious Disease Prediction in Elderly People Based on a Novel Microservice Architecture

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