Evaluating the DevOps Reference Architecture for Multi-cloud IoT-Applications

Author:

Bou Ghantous GeorgesORCID,Gill Asif Qumer

Abstract

AbstractDevOps originated in the context of the agile development aims to enable the continuous deployment of software applications in small releases. Most recently, organizations are taking a significant interest in adopting DevOps for automatically deploying IoT applications to multi-cloud. The interest is there; however, the challenge is how to achieve this. A new DevOps reference architecture (DRA) framework has been iteratively developed to address this challenge. This paper presents the updated DRA framework and its empirical evaluation results. The empirical evaluation is composed of two phases: (1) industry case study evaluation conducted in an IT organization, and (2) industry field survey with a cohort of experts in software engineering. The evaluation aims to determine the applicability and novelty of the DRA framework. The evaluation results indicate that the DRA is fit for its intended purpose and is expected to help both researchers and practitioners. The DRA uses can architect complex design models for the purpose of supporting the automated development stage of software applications. Software engineers can implement the DRA models for deploying complex IoT application to the multi-cloud environment in the current organization development parameters.

Funder

Australian Government Research Training Program

Publisher

Springer Science and Business Media LLC

Cited by 4 articles. 订阅此论文施引文献 订阅此论文施引文献,注册后可以免费订阅5篇论文的施引文献,订阅后可以查看论文全部施引文献

1. IoTDeploy: Deployment of IoT Smart Applications over the Computing Continuum;Internet of Things;2024-12

2. A Comprehensive Review of Frameworks for Achieving Interoperability in Multi-Cloud Environments;2023 Second International Conference on Informatics (ICI);2023-11-23

3. Challenges of Adopting DevOps Culture on the Internet of Things Applications - A Solution Model;2022 2nd International Conference on Technological Advancements in Computational Sciences (ICTACS);2022-10-10

4. Towards Supporting the Generation of Infrastructure as Code Through Modelling Approaches - Systematic Literature Review;2022 IEEE 19th International Conference on Software Architecture Companion (ICSA-C);2022-03

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