Cloud brokering mechanisms for optimized placement of virtual machines across multiple providers

Tordsson, Johan; Montero, Rubén; Moreno-Vozmediano, Rafael; Llorente, Ignacio

doi:10.1016/j.future.2011.07.003

Cited by 301 publications

(170 citation statements)

References 23 publications

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“…O corretor torna-se essencial para transformar o mercado heterogêneo de nuvens computacionais em uma commodity [67], similar aos serviços de água, eletricidade, gás e telefonia [10,30]. Portanto, um corretor é uma entidade que possui como principal papel, no ambiente de nuvens computacionais, agregar, gerenciar e entregar os mais variados serviços fornecidos pelos mais diversos provedores de serviços.…”

Section: Definições E Motivaçãounclassified

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

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

Cardoso

Miers

Koslovski

2017

RBCA

View full text Add to dashboard Cite

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“…In addition, other advanced features can be allowed, including the creation of cross-site networks, the support for cross-site migration of Virtual Machines (VMs), the implementation of high-availability techniques among remote cloud instances, the creation of virtual storage systems across site boundaries, etc. The interaction between CM is usually implemented using private cloud interfaces (administration level APIs) and data models (e.g., OpenNebula XML-RPC 13 These cross-site networks are commonly implemented as Layer 2 (L2) or Layer 3 (L3) overlay virtual networks on top of the physical interconnection network, which can be a public network (i.e., a L3 insecure network, such as Internet) or a dedicated high-performance link (usually a private L2 or L3 network). In this context, the most challenging situation is deploying a cross-site secure L2 virtual network over an insecure L3 public connection.…”

Section: Datacenter Federation and Interconnectionmentioning

confidence: 99%

“…Finally, cloud brokering has been one of the most explored federation architectures, both in industry and academia. [13,6,4,14] and projects [3,5] on cloud brokering, that help cloud customers to cope with a variety of cloud interfaces, instance types, and pricing models, by providing intermediation, arbitrage, and aggregation capabilities. Regarding the networking capabilities of the above mentioned federated platforms (based on peer, hybrid, or broker architectures), most of them rely on public IP addressing to access compute instances deployed in different clouds, or use VPN tunneling mechanisms to improve security that usually are manually configured by the user.…”

Section: State-of-the-art In Cloud and Network Federationmentioning

confidence: 99%

BEACON: A Cloud Network Federation Framework

Moreno-Vozmediano

Huedo

Llorente

et al. 2016

Communications in Computer and Information Science

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Abstract. This paper presents the BEACON Framework, which will enable the provision and management of cross-site virtual networks for federated cloud infrastructures in order to support the automated deployment of applications and services across different clouds and datacenters. The proposed framework will support different federation architectures, going from tightly coupled (datacenter federation) to loosely coupled (cloud federation and multi-cloud orchestration) architectures, and will enable the creation of Layer 2 and Layer 3 overlay networks to interconnect remote resources located at different cloud sites. A high level description of the main components of the BEACON framework is also introduced.

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“…Considering the heterogeneity and proliferation of cloud eco system [25] proposed a brokering approach that optimizes placement of virtual infrastructures across multiple clouds and also abstracts the deployment and management of infrastructure components in these clouds. To minimize the end-to-end delay for single-input applications, maximizing frame rate for streaming applications and to arbitrary node reuse [26] proposed dynamic programming-based optimal solution and proved the NP-completeness of the problems, for each of which, a heuristic algorithm based on a similar optimization procedure was proposed.…”

Section: B Study On Performance Toolsmentioning

confidence: 99%

Study of Response Time in Cloud Computing

Singh¹

2014

IJIEEB

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Abstract-Performance of a cloud is a critical issue and dependent on various factors that include load balancing used to distribute the load at data center. Proliferation of the cloud paradigm is profoundly dependent on the performance of the cloud. Therefore, to examine the cloud performance, it is significant to identify the factors that govern cloud performance. This work is focused to identify the factors that may have significant impact on the cloud performance. To identify the performance factors, we have reviewed the major publications of the last five years as well as the major real time cloud performance tools offered. Study revealed that response time is the major factor that has the significant impact on cloud computing performance. Finally, we have conducted an experiment to establish the dependency of response time on various load balancing techniques and number of data center. Experiment revealed that the round robin is directly proportional to the number of data center

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Cloud brokering mechanisms for optimized placement of virtual machines across multiple providers

Cited by 301 publications

References 23 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

BEACON: A Cloud Network Federation Framework

Study of Response Time in Cloud Computing

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