Deployment Management and Topology Discovery of Microservice Applications in the Multicloud Environment

Wei, Hao; Rodríguez, Joaquín Salvachúa; García, Octavio Nieto-Taladriz

doi:10.1007/s10723-021-09539-1

Cited by 16 publications

(4 citation statements)

References 29 publications

Supporting

Mentioning

Contrasting

Order By: Relevance

“…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%

See 1 more Smart Citation

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

et al. 2023

View full text Add to dashboard Cite

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.

show abstract

Section: Multi-cloud By Design [Rq3]mentioning

confidence: 99%

Section: Multi Cloud By Design Primary Studymentioning

confidence: 99%

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

et al. 2023

View full text Add to dashboard Cite

show abstract

“…The token-based authentication and role-based authorization were implemented using Keycloak 15 identity and access management solution. We use Docker 16 as the container technology. We employ Ansible and Apache NiFi 17 to implement data pipelines that can transfer application data across various platforms and storage systems such as Amazon S3, Google Storage, Hadoop file system (HDFS), and Apache Kafka message broker.…”

Section: Sodalite@rt Prototype Implementationmentioning

confidence: 99%

“…In the last decade, the automated deployment and management of applications have been considered vitally crucial by both academia and industry [3][4][5][6][7][8][9]. Most current works focus on deploying applications on clouds [10][11][12][13], including multi-clouds [5,[14][15][16] and hybrid clouds [17,18]. Recently, several studies have employed the container technology for deploying applications on edge infrastructures [19,20].…”

Section: Introductionmentioning

confidence: 99%

SODALITE@RT: Orchestrating Applications on Cloud-Edge Infrastructures

Kumara

Mundt²,

Tokmakov

et al. 2021

J Grid Computing

View full text Add to dashboard Cite

IoT-based applications need to be dynamically orchestrated on cloud-edge infrastructures for reasons such as performance, regulations, or cost. In this context, a crucial problem is facilitating the work of DevOps teams in deploying, monitoring, and managing such applications by providing necessary tools and platforms. The SODALITE@RT open-source framework aims at addressing this scenario. In this paper, we present the main features of the SODALITE@RT: modeling of cloud-edge resources and applications using open standards and infrastructural code, and automated deployment, monitoring, and management of the applications in the target infrastructures based on such models. The capabilities of the SODALITE@RT are demonstrated through a relevant case study.

show abstract

ServiceNet: resource-efficient architecture for topology discovery in large-scale multi-tenant clouds

Gama Garcia,

Alcaraz Calero,

Mora Mora

et al. 2024

Cluster Comput

View full text Add to dashboard Cite

Modern computing infrastructures are evolving due to virtualisation, especially with the advent of 5G and future technologies. While this transition offers numerous benefits, it also presents challenges. Consequently, understanding these complex systems, including networks, services, and their interconnections, is crucial. This paper introduces ServiceNet, a groundbreaking architecture that accurately performs the important task of providing understanding of a multi-tenant architecture by discovering the complete topology, crucial in the realm of high-performance distributed computing. Experimental results have been carried out in different scenarios in order to validate our approach, demonstrating the effectiveness of our approach in comprehensive multi-tenant topology discovery. The experiments, involving up to forty tenant, highlight the adaptability of ServiceNet as a valuable tool for real-time monitoring in topology discovery purposes, even in challenging scenarios.

show abstract

Deployment Management and Topology Discovery of Microservice Applications in the Multicloud Environment

Cited by 16 publications

References 29 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

SODALITE@RT: Orchestrating Applications on Cloud-Edge Infrastructures

ServiceNet: resource-efficient architecture for topology discovery in large-scale multi-tenant clouds

Contact Info

Product

Resources

About