VirtPhy: Fully Programmable NFV Orchestration Architecture for Edge Data Centers

Dominicini, Cristina K.; Vassoler, Gilmar L.; Meneses, Leonardo F.; Villaça, Rodolfo da Silva; Ribeiro, Moisés R. N.; Martinello, Magnos

doi:10.1109/tnsm.2017.2756062

Cited by 29 publications

(15 citation statements)

References 22 publications

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“…As future works, we intend to investigate operational factors of RDNA, such as power consumption aspects as in [7] and then devote efforts to enable slicing to be supported for multitenant solutions over EDCs. Another important enabler for 5G networks over RDNA to be implemented is Network Functions Virtualization (NFV) [48]. Evolving RDNA to accommodate convergent networks, i.e., integration fiber-wireless tailored to EDC infrastructures [49], is yet to be exploited.…”

Section: Discussionmentioning

confidence: 99%

RDNA: Residue-Defined Networking Architecture Enabling Ultra-Reliable Low-Latency Datacenters

Liberato

Martinello

Gomes

et al. 2018

IEEE Trans. Netw. Serv. Manage.

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General rightsThis document is made available in accordance with publisher policies. Please cite only the published version using the reference above. Full terms of use are available: http://www.bristol.ac.uk/pure/userguides/explore-bristol-research/ebr-terms/ 1932-4537 (c)Abstract-Datacenter (DC) design has been moved towards the edge computing paradigm motivated by the need of bringing cloud resources closer to end users. However, the Software Defined Networking (SDN) architecture offers no clue to the design of Micro Datacenters (MDC) for meeting complex and stringent requirements from next generation 5G networks. This is because canonical SDN lacks a clear distinction between functional network parts, such as core and edge elements. Besides, there is no decoupling between the routing and the network policy. In this paper, we introduce Residue Defined Networking Architecture (RDNA) as a new approach for enabling key features like ultra-reliable and low-latency communication in MDC networks. RDNA explores the programmability of Residues Number System (RNS) as a fundamental concept to define a minimalist forwarding model for core nodes. Instead of forwarding packets based on classical table lookup operations, core nodes are tableless switches that forward packets using merely remainder of the division (modulo) operations. By solving a residue congruence system representing a network topology, we found out the algorithms and their mathematical properties to design RDNA's routing system that (i) supports unicast and multicast communication, (ii) provides resilient routes with protection for the entire route, and (iii) is scalable for 2-tier Clos topologies. Experimental implementations on Mininet and NetFPGA SUME show that RDNA achieves 600 ns switching latency per hop with virtually no jitter at core nodes and submillisecond failure recovery time.

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Section: Discussionmentioning

confidence: 99%

RDNA: Residue-Defined Networking Architecture Enabling Ultra-Reliable Low-Latency Datacenters

Liberato

Martinello

Gomes

et al. 2018

IEEE Trans. Netw. Serv. Manage.

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“…Dominicini et al in [32] designed a NFV oriented architecture for edge data centers. They implemented a server centric data center architecture that produced better results when compared to traditional network-centric architectures.…”

Section: B Design and Operation Of Cloud Infrastructurementioning

confidence: 99%

Traffic-profile and machine learning based regional data center design and operation for 5G network

et al. 2019

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Data center in the fifth generation (5G) network will serve as a facilitator to move the wireless communication industry from a proprietary hardware based approach to a more software oriented environment. Techniques such as Software defined networking (SDN) and network function virtualization (NFV) would be able to deploy network functionalities such as service and packet gateways as software. These virtual functionalities however would require computational power from data centers. Therefore, these data centers need to be properly placed and carefully designed based on the volume of traffic they are meant to serve. In this work, we first divide the city of Milan, Italy into different zones using K-means clustering algorithm. We then analyse the traffic profiles of these zones in the city using a network operator's Open Big Data set. We identify the optimal placement of data centers as a facility location problem and propose the use of Weiszfeld's algorithm to solve it. Furthermore, based on our analysis of traffic profiles in different zones, we heuristically determine the ideal dimension of the data center in each zone. Additionally, to aid operation and facilitate dynamic utilization of data center resources, we use the state of the art recurrent neural network models to predict the future traffic demands according to past demand profiles of each area.

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“…Recentemente, Data Centers menores e mais próximos aos usuários, se proliferaram como uma alternativa para o armazenamento e processamento dos dados de maneira eficiente, além de conectar outros aplicativos e usuários que estão distribuídos globalmente. Esse novo modelo, chamado de Edge Computing, representa uma tendência com grandes benefícios em relação aos Data Centers tradicionais, tais como, menor latência e maior desempenho, redução de custo (CAPEX e OPEX) com uso de equipamentos baseado no padrão Ethernet, rápida implementação, facilidade de gerenciamento e orquestração, dentre outros [Dominicini et al 2017]. A virtualização, a conteinerização e a Internet das Coisas, têm levado a um crescimento explosivo no número de pontos finais (endpoints) com uma demanda significativa por conectividade da nuvem [Hari et al 2015].…”

Section: Caracterização Do Problema E Motivaçãounclassified

RDNA: Arquitetura Definida por Resíduos para Redes de Data Centers

Martinello¹,

Ribeiro²,

Rothenberg³

et al. 2019

Anais Estendidos Do XXXVII Simpósio Brasileiro De Redes De Computadores E Sistemas Distribuídos (SBRC Estendido 2019)

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Datacenter (DC) design has been moved towards the edge computing paradigm motivated by the need of bringing cloud resources closer to end users. However, the Software Defined Networking (SDN) architecture offers no clue to the design of Micro Datacenters (MDC) for meeting complex and stringent requirements from next generation 5G networks. This is because canonical SDN lacks a clear distinction between functional network parts, such as core and edge elements. Besides, there is no decoupling between the routing and the network policy. In the thesis, we introduce Residue Defined Networking Architecture (RDNA) as a new approach for enabling key features like ultra-reliable and low-latency communication in MDC networks. RDNA explores theprogrammability of Residues Number System (RNS) as a fundamental concept to define a minimalist forwarding model for core nodes. Instead of forwarding packets based on classical table lookup operations, core nodes are tableless switches that forward packets using merely remainder of the division (modulo) operations. By solving a residue congruence system representing a network topology, we found out the algorithms and their mathematical properties to design RDNAs routing system that (i) supports unicast and multicast communication,(ii) provides resilient routes with protection for the entire route, and (iii) is scalable for 2-tier Clos topologies. Experimental implementations on Mininet and NetFPGA SUME show that RDNA achieves 600 ns switching latency per hop with virtually no jitter at core nodes and sub-millisecond failure recovery time.

show abstract

VirtPhy: Fully Programmable NFV Orchestration Architecture for Edge Data Centers

Cited by 29 publications

References 22 publications

RDNA: Residue-Defined Networking Architecture Enabling Ultra-Reliable Low-Latency Datacenters

RDNA: Residue-Defined Networking Architecture Enabling Ultra-Reliable Low-Latency Datacenters

Traffic-profile and machine learning based regional data center design and operation for 5G network

RDNA: Arquitetura Definida por Resíduos para Redes de Data Centers

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