BECloud: A new approach to analyse elasticity enablers of cloud services

Beltrán, Marta

doi:10.1016/j.future.2016.05.014

Cited by 11 publications

(3 citation statements)

References 20 publications

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“…Assim, a elasticidade é uma das principais características desse tipo de sistema, pois, quanto mais rápida for a elasticidade de uma nuvem, mais idealização de recursos ilimitados ela transmitirá ao usuário [9]. Benchmarks com foco em elasticidade podem ser vistos em [20] e [21].…”

Section: ) Elasticidadeunclassified

Estudo Sobre Benchmarks Para Avaliação De Desempenhos Orientados a Nuvem

Oliveira¹

2020

Conferência De Estudos Em Engenharia Elétrica

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Com a crescente adoção da computação em nuvem, observa-se um aumento da necessidade de avaliar o desempenho das nuvens. Avaliar esses ambientes é um desafio em aberto, uma vez que diferentemente da computação tradicional, os benchmarks que podem ser usados para avaliação, devem acompanhar os possíveis múltiplos cenários existentes que são configurados dinamicamente, provisionam recursos sob demanda e os liberam com esforço mínimo de gerenciamento. O objetivo deste artigo é apresentar um estudo sobre benchmark para nuvem e que discute os desafios sobre o seu uso e formulação. O estudo é o resultado parcial de um projeto pesquisa em andamento que visa a criação de um portifólio dos benchmarks típicos para as nuvens.

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Section: ) Elasticidadeunclassified

Estudo Sobre Benchmarks Para Avaliação De Desempenhos Orientados a Nuvem

Oliveira¹

2020

Conferência De Estudos Em Engenharia Elétrica

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“…The KPI are used to quantify the performance of an energy provider system, in this context, many researches are made, in [11], and in the cloud computing context, elasticity is considered as a key property, according to authors, there is a lack of standard elasticity metrics or analysis procedures to easily quantify this performance of cloud services. This absence of a unique general elasticity metric makes difficult to consider elasticity as a service level objective in service level agreements, so, in the same paper, elasticity metric is proposed, capable of considering scalability, accuracy, time and cost, independently of the service level.…”

Section: The Elasticity Conceptmentioning

confidence: 99%

Distributed Energy Systems Management Using the Case Based Reasoning

Larbi¹,

Belalem²,

Beldjilali³

2019

IJCA

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Regarding continued growth in the use of electrical energy, it is important to meet the final customer demand. In a smart grid context, there are several ways to do this. One of means is to add energy storages and infrastructures. We are so interested in this study to the modification of electrical infrastructures. By adapting organizations, managers and their teams must have the adequate behavior and decision making to modify existing materials or add new materials into the existing system. This paper shows a company team's behavior which operates in the field of energy supplying. The purpose of this paper is to show how teams' managers can use a past experience, and to evaluate the impact of structure modification according to decision making using the case based reasoning. The experiments concern more precisely the quantitative aspect of exchanged messages between managers and their teams.

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“…These literatures differentiate all metrics [18].Fault tolerance and resilience is used to denote reliability and availability based on user requirement [19]. It analyses fault tolerance according to every stage of failure.Elasticity plays a significant role in cloud computing.…”

Section: Fig 1: Measures Used For Best Cloud Selectionmentioning

confidence: 99%

Enhanced Adaptive Learning Mechanism for Cloud Selection

Maruthi¹,

Shanthi²,

Umamakeswari³

2018

IJET

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Estimation of cloud services in a distributed computing environment is taking more interests. There is a wealth of developing cloud benefit assets that makes it difficult for the user to select the best administration related to own applications in an evolving multiple cloud environment, particularly for online processing applications. To make clients to choose their interested cloud adequately, we need a model which holds the cloud profits, and hence dynamic cloud benefit determination procedure named Dynamic Cloud Selection (DCS) is adapted. In this procedure of selected services, every cloud benefit business deals with some group of cloud administrations, and executes the DCS method. This paper studies the cloud selection and proposed a way to improve the cloud selection based on related measures. The measures are reliability, response time, throughput, availability, utilization, resilience, scalability, and elasticity. The system is contrived to enhance the cloud benefit choice powerfully and to restore the best administration result to the client. These measures are used to form best selection strategy. User memory requirement is also considered to improve the preferred task. Experimental results proved that using this new strategy, best cloud selection is made efficiently.

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BECloud: A new approach to analyse elasticity enablers of cloud services

Cited by 11 publications

References 20 publications

Estudo Sobre Benchmarks Para Avaliação De Desempenhos Orientados a Nuvem

Estudo Sobre Benchmarks Para Avaliação De Desempenhos Orientados a Nuvem

Distributed Energy Systems Management Using the Case Based Reasoning

Enhanced Adaptive Learning Mechanism for Cloud Selection

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