NIST cloud computing standards roadmap :

Hogan, Michael D.; Liu, Fang; Sokol, Annie W.; Jin, Tong

doi:10.6028/nist.sp.500-291v1

Cited by 173 publications

(149 citation statements)

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“…O NIST [34] define que um corretor fornece somente serviços de intermediação, arbitragem e agregação. Diferenciando um pouco do NIST, o Gartner [59] preconiza que um corretor fornece três serviços principais: agregação, integração e personalização.…”

Section: Definições E Motivaçãounclassified

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Uma taxonomia para corretagem de nuvens IaaS baseada na migração de infraestruturas virtuais

Cardoso

Miers

Koslovski

2017

RBCA

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Resumo: A computação em nuvem propõe um modelo no qual o usuário tem a ideia de recursos ilimitados, que podem ser reservados dinamicamente, pagando somente o que for consumido. Esse modelo de tarifação é conhecido como pay-as-you-go. Estes e outros fatores, levaram a uma ampla adoção dos serviços oferecidos pelas nuvens computacionais por parte dos usuários. Porém, ao migrarem aplicações para a nuvem, os usuários se deparam com uma quantidade expressiva de provedores, recursos, corretores e serviços oferecidos. Através da análise de material coletado em uma pesquisa referenciada, este trabalho propõe uma taxonomia para a classificação de atores relacionados com a corretagem de nuvens de acordo com as suas principais características. Nas referências são citados diversos recursos e tipos de serviços, porém este trabalho mantém o foco na migração de infraestruturas virtuais entre provedores de Infrastructure-as-a-Service (IaaS). Palavras-chave: Corretagem, IaaS, Nuvens, Corretores, Migração, InteroperabilidadeAbstract: Cloud computing offers a model in which the user has the idea of unlimited resources. Allied with this idea, cloud computing also provides another advantage that allows the user to pay only what is consumed, this model is also known as pay as you go. These and other factors led to a broad adoption of services offered by cloud computing. However, when the users migrates their applications to the cloud, they faced several possibilities of providers, resources, brokers, and services. Through a analysis of articles and books relevant to the subject, we propose a taxonomy in order to classify cloud brokers according to their main features. The references mention several features, but this work keeps focused in migration of virtual infrastructures between Infrastructureas-a-Service (IaaS) providers.

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Section: Definições E Motivaçãounclassified

“…Na Tabela 1 foram reunidas as abordagens identificadas nas referências analisadas. Adicionalmente, foram inclusas na Tabela 1 abordagens que são consideradas relevantes na literatura de nuvens [34,78] …”

Section: Trabalhos Relacionadosunclassified

Uma taxonomia para corretagem de nuvens IaaS baseada na migração de infraestruturas virtuais

Cardoso

Miers

Koslovski

2017

RBCA

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“…These five participating actors are cloud provider, cloud consumer, cloud broker, cloud carrier and cloud auditor [37]. Table 1 presents the definitions of these actors.…”

Section: Research Backgroundmentioning

confidence: 99%

“…Five major actors and related roles in cloud environments are described in the NIST Cloud Computing Standards Roadmap document [37]. These five participating actors are cloud provider, cloud consumer, cloud broker, cloud carrier and cloud auditor [37].…”

Section: Research Backgroundmentioning

confidence: 99%

Reliability and high availability in cloud computing environments: a reference roadmap

Mesbahi

Rahmani

Hosseinzadeh

2018

Hum. Cent. Comput. Inf. Sci.

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Reliability and high availability have always been a major concern in distributed systems. Providing highly available and reliable services in cloud computing is essential for maintaining customer confidence and satisfaction and preventing revenue losses. Although various solutions have been proposed for cloud availability and reliability, but there are no comprehensive studies that completely cover all different aspects in the problem. This paper presented a ‘Reference Roadmap’ of reliability and high availability in cloud computing environments. A big picture was proposed which was divided into four steps specifying through four pivotal questions starting with ‘Where?’, ‘Which?’, ‘When?’ and ‘How?’ keywords. The desirable result of having a highly available and reliable cloud system could be gained by answering these questions. Each step of this reference roadmap proposed a specific concern of a special portion of the issue. Two main research gaps were proposed by this reference roadmap.

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“…Cloud computing, according to [1], provide a model for convenient network access on demand to the total pool of configurable in computing resources (networks, servers, storage, applications and services) that can quickly identify and provide with minimal management effort or minimal intervention on the part of the supplier of cloud services [2]. The introduction of cloud computing technology has some significant advantages [3][4][5][6]: the enterprise by eliminating the need to invest substantial sums to machine tool making, purchase of expensive software (ERP, PDM, CAD / CAM / CAEsystems); Economy of computing resources; Possibility of mobility of workplaces; Scalability, which increases the efficiency of computing resources through the use of virtualization technologies; saving on maintenance of the IT department, these functions are moving to outsourced cloud providers.…”

Section: Introductionmentioning

confidence: 99%

Semi-markov model of processing requests to the cloud storage

et al. 2017

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2Federal state owned military educational institution of the Higher professional Education "the black sea higher navy order of the red star academy by P.S.Nakhimov" Russian Federation, 299028, SevastopolAbstract. This paper presents a semi-Markov model as an important part of the computer-aided manufacturing and a modular system of cloud storage, which affects the functioning of the whole process. The residence times of the system in states and the probability of system transitions are determined. There is a stationary distribution of the embedded Markov chain. The residence times of the system in states with allowance for repeated hits are determined by the theorem on the distribution functions of the residence times of the system in states with allowance for repeated hits. When using the trajectory method, the distribution function of the time for the complete processing of the read request by such a system is determined. A comparison of the expectation time complete processing the read request obtained in this study and obtained by the known formula for determining from the literature the expectation residence time in the subset of the system states.

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NIST cloud computing standards roadmap :

Cited by 173 publications

References 0 publications

Uma taxonomia para corretagem de nuvens IaaS baseada na migração de infraestruturas virtuais

Uma taxonomia para corretagem de nuvens IaaS baseada na migração de infraestruturas virtuais

Reliability and high availability in cloud computing environments: a reference roadmap

Semi-markov model of processing requests to the cloud storage

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