Capacity-Oriented Availability Model for Resources Estimation on Private Cloud Infrastructure

Melo, Carlos; Matos, Rubens; Dantas, Jamilson; Maciel, Paulo

doi:10.1109/prdc.2017.49

Cited by 19 publications

(9 citation statements)

References 10 publications

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“…The authors in Reference combined several models in order to evaluate the capacity‐oriented availability (COA) of nodes in private cloud infrastructures. The models were created using RBD to represent the relationship between the cloud computing components and SPN to evaluate the COA of nodes in the cloud.…”

Section: Related Workmentioning

confidence: 99%

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Availability analysis of design configurations to compose virtual performance‐optimized data center systems in next‐generation cloud data centers

et al. 2020

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Next-generation cloud data centers are based on software-defined data center infrastructures that promote flexibility, automation, optimization, and scalability. The Redfish standard and the Intel Rack Scale Design technology enable software-defined infrastructure and disaggregate bare-metal compute, storage, and networking resources into virtual pools to dynamically compose resources and create virtual performance-optimized data centers (vPODs) tailored to workload-specific demands. This article proposes four chassis design configurations based on Distributed Management Task Force's Redfish industry standard applied to compose vPOD systems, namely, a fully shared design, partially shared homogeneous design, partially shared heterogeneous design, and not shared design; their main difference is based on the used hardware disaggregation level. Furthermore, we propose models that combine reliability block diagram and stochastic Petri net modeling approaches to represent the complexity of the relationship between the pool of disaggregated hardware resources and their power and cooling sources in a vPOD. These four proposed design configurations were analyzed and compared in terms of availability and component's sensitivity indexes by scaling their configurations considering different data center infrastructure. From the obtained results, we can state that, in general, when one increases the hardware disaggregation, availability is improved. However, after a given point, the availability level of the fully shared, partially shared homogeneous, and partially shared heterogeneous configurations remain almost equal, while the not shared configuration is still able to improve its availability. K E Y W O R D Savailability, composable systems, next-generation cloud data center, Redfish standard, stochastic models Softw: Pract Exper. 2020;50:805-826.wileyonlinelibrary.com/journal/spe

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Section: Related Workmentioning

confidence: 99%

“…Some works from the literature have proposed the assessment of data center availability, such as References . However, our work differs from these as our focus is on the availability evaluation of next‐generation cloud data centers.…”

Section: Introductionmentioning

confidence: 99%

Availability analysis of design configurations to compose virtual performance‐optimized data center systems in next‐generation cloud data centers

et al. 2020

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“…Melo et al [11] apresentaram um modelo para avaliar ambientes de computação em nuvem, considerando os recursos disponíveis. Neste trabalho foi utilizado o RBD para a estimativa da sua disponibilidade, como também SPN.…”

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Dimensioning the relationship between availability and data center energy flow metrics

Bezerra

Leonardo

Alves

et al. 2020

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The advancement of technology and the growing number of applications available to network users have increased the demand for services hosted in cloud environments. In 2020, more than 4 billion of people access these services through the Internet, a value 7% higher in comparison to the same period in 2019. To support the demand for such services, an environment that provides such conditions for applications available whenever needed has grown in importance. These environments are generally available from large data centers, which consume large amounts of electricity to provide such demand service capacity. In this context, this work proposes an integrated and dynamic strategy that demonstrates the impact of the availability on the energyconsumption of the devices that compose the data center system architecture. In order to accomplish this, colored Petri net models were proposed for quantifying the cost, environmental impact and availability of the electric energy infrastructure ofdata centers. The models presented in this work are supported by the developed prototype. Two case studies illustrate the applicability of the proposed models and strategy. Significant results were obtained, showing an increase close to 100% in the system availability, with practically the same operational cost and environmental impact.

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“…O artigo [19] apresenta modelos para avaliação de disponibilidade orientada a capacidade em ambientes de nuvem. O trabalho [20] apresenta um estudo focado em análise de sensibilidade.…”

Section: Trabalhos Relacionadosunclassified

Modelos para avaliação de disponibilidade orientada a capacidade de uma nuvem privada

Torquato

Torquato²,

Maciel³

2018

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High availability is a significant requirement of applications hosted in clouds. It is possible to apply hardware and software redundancy to achieve higher levels of system availability. However, besides system availability, we also want to know system capacity to deal with the workload. We can use the Capacity Oriented Availability (COA) to obtain this information. The COA gives an estimate of resources available when the system is running. This paper presents a comprehensive analytical model to evaluate COA of private Clouds. We propose six scenarios with different architectures. All the architectures have the same three essential components: Front-End, PM, and VM. The presented results cover availability, COA and sensitivity analysis of model parameters. By using the model's results, it is possible to point out what components are more important for each studied metric.

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Capacity-Oriented Availability Model for Resources Estimation on Private Cloud Infrastructure

Cited by 19 publications

References 10 publications

Availability analysis of design configurations to compose virtual performance‐optimized data center systems in next‐generation cloud data centers

Availability analysis of design configurations to compose virtual performance‐optimized data center systems in next‐generation cloud data centers

Dimensioning the relationship between availability and data center energy flow metrics

Modelos para avaliação de disponibilidade orientada a capacidade de uma nuvem privada

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