CAPODAZ: A containerised authorisation and policy-driven architecture using microservices

Kallergis, Dimitrios; Garofalaki, Zacharenia; Katsikogiannis, Georgios; Douligeris, Christos

doi:10.1016/j.adhoc.2020.102153

Cited by 10 publications

(4 citation statements)

References 15 publications

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“…In particular, we present an overview of the body of knowledge found as a result of this review (considering the 88 finally selected primary studies). The primary studies were classified according to the research method used in the study, as defined in Hybrid Cloud (public vs. private) [44][45][46][47][48][49][50][51][52] IoT or physical nodes [53][54][55][56] Different cloud services from different cloud providers [8,17,26,29,31,34,[57][58][59][60][61][62][63][64][65][66][67][68][69][70][71][72][73] Multi-cloud in a broader sense [74][75][76] Federated Cloud Services [17,32,[77][78][79][80][81] Multi-cloud Services Communities [82] opinion pap...…”

Section: Overview Of the Slr Primary Studies Selectedmentioning

confidence: 99%

“…Almost the 5% of the studies consider IoT environments as multi-cloud [53][54][55][56]. 4% considered a broader meaning definition for multi-cloud [74][75][76], including several concepts already discussed in the definition of multi-cloud infrastructures (i.e.…”

Section: Meaning Of the Term Multi-cloud [Rq1] [Rq2]mentioning

confidence: 99%

“…Close to 11% of the analysed literature state that they have implemented a multi-cloud application using a loosely coupled architecture, based on microservices and implemented through containers [31,32,55,56,63,66,84,85,90,93,94]. To this end, loosely coupled architectures are applied to different domains, such as IoT [55], fog computing [32], or osmotic computing [66].…”

Section: Multi-cloud By Design [Rq3]mentioning

confidence: 99%

“…Loosely coupled [31,32,55,56,63,66,84,85,90,93,94] (Design) Patterns [26,35,47,69,81] Modelling languages [29,40,46,54,64,85,87,97] Cloud federation [39,78,81,82,98] Security by design [44,47,52,68,71,73,80,95,99] Technologies [17, 31, 50-52, 56, 60, 63, 69, 89, 92, 95, 96, 100] Standards [8,17,26,40,45,48 complex challenge to be solved, due to the heterogeneity of the cloud management systems employed by the providers. Thus, multi-provider infrastructure operation under a federation of independent clouds and/or infrastructure components is still a challenge.…”

Section: Multi Cloud By Design Primary Studymentioning

confidence: 99%

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Understanding the challenges and novel architectural models of multi-cloud native applications – a systematic literature review

et al. 2023

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The evolution of Cloud Computing into a service utility, along with the pervasive adoption of the IoT paradigm, has promoted a significant growth in the need of computational and storage services. The traditional use of cloud services, focused on the consumption of one provider, is not valid anymore due to different shortcomings being the risk of vendor lock-in a critical. We are assisting to a change of paradigm, from the usage of a single cloud provider to the combination of multiple cloud service types, affecting the way in which applications are designed, developed, deployed and operated over such heterogeneous ecosystems. The result is an effective heterogeneity of architectures, methods, tools, and frameworks, copying with the multi-cloud application concept. The goal of this study is manifold. Firstly, it aims to characterize the multi-cloud concept from the application development perspective by reviewing existing definitions of multi-cloud native applications in the literature. Secondly, we set up the basis for the architectural characterization of these kind of applications. Finally, we highlight several open research issues drawn up from the analysis carried out. To achieve that, we have conducted a systematic literature review (SLR), where, a large set of primary studies published between 2011 and 2021 have been studied and classified. The in-depth analysis has revealed five main research trends for the improvement of the development and operation DevOps lifecycle of “multi-cloud native applications”. The paper finishes with directions for future work and research challenges to be addressed by the software community.

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Section: Overview Of the Slr Primary Studies Selectedmentioning

confidence: 99%

Section: Meaning Of the Term Multi-cloud [Rq1] [Rq2]mentioning

confidence: 99%

Section: Multi-cloud By Design [Rq3]mentioning

confidence: 99%

Section: Multi Cloud By Design Primary Studymentioning

confidence: 99%

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Understanding the challenges and novel architectural models of multi-cloud native applications – a systematic literature review

et al. 2023

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Microservice transition and its granularity problem: A systematic mapping study

Hassan¹,

Bahsoon²,

Kazman

2020

Softw Pract Exp

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Microservices have gained wide recognition and acceptance in software industries as an emerging architectural style for autonomic, scalable, and more reliable computing. The transition to microservices has been highly motivated by the need for better alignment of technical design decisions with improving value potentials of architectures. Despite microservices' popularity, research still lacks disciplined understanding of transition and consensus on the principles and activities underlying that transition. In this paper, we report on a systematic mapping study that consolidates various views, approaches and activities that commonly assist in the transition to microservices. The study aims to provide a better understanding of the transition; it also contributes a working definition of the transition and technical activities underlying it. We term the transition and technical activities leading to microservice architectures as microservitization. We then shed light on a fundamental problem of microservitization: microservice granularity and reasoning about its adaptation as first-class entities. This study reviews state-of-the-art and-practice related to reasoning about microservice granularity; it reviews modeling approaches, aspects considered, guidelines and processes used to reason about microservice granularity. This study identifies opportunities for future research and development related to reasoning about microservice granularity.

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The role of microservice approach in edge computing: Opportunities, challenges, and research directions

et al. 2023

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CAPODAZ: A containerised authorisation and policy-driven architecture using microservices

Cited by 10 publications

References 15 publications

Understanding the challenges and novel architectural models of multi-cloud native applications – a systematic literature review

Understanding the challenges and novel architectural models of multi-cloud native applications – a systematic literature review

Microservice transition and its granularity problem: A systematic mapping study

The role of microservice approach in edge computing: Opportunities, challenges, and research directions

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