Virtual Networking Performance in OpenStack Platform for Network Function Virtualization

Callegati, Franco; Cerroni, Walter; Contoli, Chiara

doi:10.1155/2016/5249421

Cited by 17 publications

(12 citation statements)

References 15 publications

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“…Also, such prediction models can be used as cloud management tools. The SLR conducted in this paper, found several studies related to the context of network design, such as [67](ID03), [68](ID09), [69](ID29), [70](ID30), [71](ID38), [72](ID51), [73](ID62), and [74](ID64). Nevertheless, none of them directly addressed the capacity plan aspect, making it an open research challenge.…”

Section: F Capacity Planningmentioning

confidence: 99%

“…Not all selected studies identify the data center topology used to deploy or evaluate NFV technologies. For instance, [67] (ID03]), [21](ID04), [22](ID06), [56](ID07), [23](ID08), [24](ID10), [26](ID12), [75](ID14), [59](ID15), [29](ID17), [30](ID18), [60](ID21), and [70](ID30), only mention that they have utilized some topology. When the applied topology was specified, it is evident that the most widely adopted ones are JellyFish [25](ID11), public topology-zoo [28]…”

Section: ) Network Topologiesmentioning

confidence: 99%

“…It is a very complicated task, being necessary to conduct further research in this direction. Finally, since NFV applications in data centers are still in their early stages of development, there are many aspects of such applications that need further research, including performance, dependability, resource allocation, cost, management, and resource interoperability [6], [56], [67], [70], [90], [91].…”

Section: A Inherited Challengesmentioning

confidence: 99%

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NFV Data Centers: A Systematic Review

2020

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This work was supported under Grants for Brazilian PhD students with Coordination for the Improvement of Higher Education Personnel (CAPES). ABSTRACT Recently, the widespread use of Network Function Virtualization (NFV) has meant a significant shift in communication and network cloud-based services. NFV increases network function, allocation, and flexibility, for the implementation of new network services, The benefits from optimizing resource allocation in NFV data center include automation of the operational processes, reducing the operational efforts, and lowering capital costs. Despite being a hot topic, NFV data centers are still in their early stages. In this sense, there are some aspects involved in the current NFV implementations that required further investigation, such as performance evaluation and managemen. This paper presents an in-depth analysis of NFV applications in data center. Therefore, a Systematic Literature Review (SLR) was conducted aimed at studying and synthesizing the available works in the NFV state-of-the-art. Consequently, about 1,408 papers have been analyzed and filtered, evidencing a total of 65 relevant studies. This paper documents the relevance of the 65 papers, as well as provides an indepth insight into the primary open research questions concerning NFV architecture. In particular, highlighting the need for consolidating the integration of NFV in data centers by solving problems related to performance, dependability, resource allocation, cost, management, and resource interoperability. Based on the conducted SLR, several research gaps and open challenges have been identified, allowing the authors to provide new propositions and suggested future research avenues. Finally, the obtained results have shown that there is a strong need for further collaboration between academia and industry to conduct quality research and advance NFV practical implementations. INDEX TERMS Network function virtualization (NFV), software defined networking (SDN), cloud computing, data center, service function chain (SFC), performance evaluation.

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Section: F Capacity Planningmentioning

confidence: 99%

Section: ) Network Topologiesmentioning

confidence: 99%

Section: A Inherited Challengesmentioning

confidence: 99%

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NFV Data Centers: A Systematic Review

2020

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“…When using programmable software to control the arrangement of hardware resources, there is no need to think about how to manipulate servers and security or allocate resources. In other words, all the resources function perfectly [16][17][18]. Cloud computing gave rise to more possibilities, enabling software-defined services to be different concepts in hardware and software architectures.…”

Section: Related Workmentioning

confidence: 99%

On construction of a cloud storage system with heterogeneous software-defined storage technologies

Yang

Hsu

Chan

et al. 2019

Hum. Cent. Comput. Inf. Sci.

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In the last decade, cloud computing has attracted more and more attentions in both industry and academia [1-8]. It deeply changed people's lives due to its inherent advantages, such as on-demand self-service, resource pooling and rapid resource elasticity, etc.. With the services provided by cloud computing, users can upload their requirements via the Internet to a cloud environment and receive responses following postprocessing in the cloud environment. Among these services, cloud storage service is one of the important and indispensable services [9-12]. Cloud storage makes data storage a service in which data is outsourced to a cloud server maintained by a cloud provider. With the service, data could be stored remotely into the cloud efficiently and safely. Thus, this service attracts many people, especially enterprises, due to that it brings appealing benefits, e.g., avoidance of capital expenditure on hardware and software, relief of the burden for storage management, etc. [13-15].

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“…As máquinas virtuais podem ser de dois tipos [2]:  Tipo I (Guest System -sistema convidado): o hipervisor 4 é executado entre o hardware e os sistemas convidados, o hardware é compartilhado para cada máquina virtual. São exemplos deste tipo o hipervisor Xen Server;…”

Section: Virtualizaçãounclassified

A Utilização Do Posicionamento De Máquinas Virtuais Para a Qualidade De Aplicações De Clientes Em Nuvem

Jesus¹,

Kamienski²

2017

SADSJ

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ResumoCom a evolução das tecnologias de virtualização, das redes e dos hipervisores de computação, o compartilhamento de recursos nas atuais infraestruturas como serviços, tornou-se mais flexível. Toda a implementação de uma nuvem, depende de desempenho e padronizações para clientes; tendo em vista que o ambiente é compartilhado, todos querem obter o melhor desempenho. As qualidades de serviços são definidas, protocolos são padronizados, e há a preocupação com a segurança entre os clientes, em que são criadas quotas de recursos e, na teoria, a plataforma está preparada para a demanda. Porém o desempenho para os clientes varia e, em pouco tempo, a degradação dos recursos torna-se uma barreira para o uso eficiente da infraestrutura da nuvem. O comprometimento da escalabilidade e da disponibilidade, acontece pela falta de uma estratégia para a heterogeneidade de hardware, variações dos fatores de rede, computação e cargas de trabalho, que são as características de um ambiente compartilhado, sendo necessária uma tecnologia capaz de satisfazer de maneira automatizada das regras propostas pelo modelo da nuvem. Estas características são estudadas neste artigo, assim como os conceitos chaves da computação em nuvem, as redes virtuais e os algoritmos de placement. Palavras-Chaves: Computação em Nuvem; Posicionamento de Máquinas Virtuais;OpenStack; Virtualização; Avaliação de Desempenho.

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Virtual Networking Performance in OpenStack Platform for Network Function Virtualization

Cited by 17 publications

References 15 publications

NFV Data Centers: A Systematic Review

NFV Data Centers: A Systematic Review

On construction of a cloud storage system with heterogeneous software-defined storage technologies

A Utilização Do Posicionamento De Máquinas Virtuais Para a Qualidade De Aplicações De Clientes Em Nuvem

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