Continuous evaluation for application development on cloud computing environments

Kao, Chia Hung

doi:10.1109/icasi.2017.7988191

Cited by 4 publications

(2 citation statements)

References 8 publications

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“…Most recently, DevOps has emerged to deal with this vital concern by enabling the integration of development and operations abilities to complement the current agile approaches [1,2]. DevOps approach provides developers with concepts, practices, and tools to enable automation, continuous integration, and fast deployment and delivery on the cloud [5,58]. This paper discusses the evaluation of the proposed DRA framework to deploy IoT-applications to multi-cloud using DevOps [8].…”

Section: Discussionmentioning

confidence: 99%

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

Ghantous

Gill

2021

SN COMPUT. SCI.

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DevOps 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.

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Section: Discussionmentioning

confidence: 99%

“…The DRA is founded on the concepts and practices of DevOps [2,3]. DRA uses the multi-cloud ecosystem to support the deployment of IoT applications [21,58]. DRA enables automated deployment of IoT-applications to multi-cloud [8].…”

Section: The Dra Overviewmentioning

confidence: 99%

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

Ghantous

Gill

2021

SN COMPUT. SCI.

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Continuous QoS-aware adaptation of Cloud-IoT application placements

et al. 2023

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Cloud-Internet of Things computing paradigms call for novel and efficient methodologies to decide where to place application services in continuity with Continuous Integration/Continuous Deployment pipelines and infrastructure monitoring. In this article, we present Continuous Adaptation (CA), a new DevOps practice for (1) detecting runtime changes in the application requirements or the infrastructure that, due to their change in resource consumption or their effects on the Quality of Service (QoS), can affect the validity and dependability of the current application placement, and for (2) locally intervening on them by suggesting new placements that ensure all (functional and non-functional) application requirements are met. We assess a prototype of CA, , and analyze its performance over a motivating use case. adapts the application placement to environmental changes through the use of continuous reasoning, reducing the size of the problem to be solved to optimize its performance. The evaluation shows that is able to obtain nearly optimal QoS up to $$4.2\times $$ 4.2 × faster than alternative techniques, also minimizing the cost of service migration.

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Auditing Linux Operating System with Center for Internet Security (CIS) Standard

Sedano

Salman

2021

2021 International Conference on Information Technology (ICIT)

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Continuous evaluation for application development on cloud computing environments

Cited by 4 publications

References 8 publications

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

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

Continuous QoS-aware adaptation of Cloud-IoT application placements

Auditing Linux Operating System with Center for Internet Security (CIS) Standard

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