Comparative analysis of architectures for monitoring cloud computing infrastructures

Calero, José M. Alcaraz; Aguado, J.

doi:10.1016/j.future.2014.12.008

Cited by 21 publications

(1 citation statement)

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“…After some testing it has been decided to follow a combined approach to be able to address some of the proposed metrics such as performance at resource level that with the push monitoring approach was impossible to get. Technically this implies the incorporation of pre-configured agents to be installed in the corresponding virtual machines, in what is called Extended Internal Adaptive Architecture (Alcaraz Calero and Gutiérrez Aguado, 2015). As the definition of the NFRs differ from one CSPs to others and being far of having a common approach, the set of metrics to assess the selected NFRs have been specifically defined for ACSmI.…”

Section: Acsmi Monitoringmentioning

confidence: 99%

ACSmI: a solution to address the challenges of cloud services federation and monitoring towards the cloud continuum

Huarte,

Alonso,

Arrieta

2023

IJCSE

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The evolution of cloud computing has changed the way in which Cloud Service Providers offer their services and how Cloud Customers consume them, moving towards the usage of multiple Cloud Services, in what is called multi-cloud. Multi-cloud is gaining interest by the expansion of IoT, edge and the Cloud Continuum where distributed Cloud federation models are necessary for effective application deployment and operation. This work presents ACSmI, Advanced Cloud Service Meta-intermediator, a solution that implements a Cloud federation, supporting the seamless brokerage of Cloud Services. Technical details addressing the discovered shortcomings are presented, including a proof of concept built on JHipster, Java, InfluxD, Telegraf and Grafana. ACsmI contributes to relevant elements of the European Gaia-X initiative, specifically to the federated catalogue, continuous monitoring, and certification of services. The experiments show that proposed solution effectively saves up to 75% of the DevOps teams' effort to discover, contract and monitor cloud services.

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Section: Acsmi Monitoringmentioning

confidence: 99%