Network management through graphs in Software Defined Networks

Pantuza, Gustavo; Sampaio, Frederico; Vieira, Luiz F. M.; Guedes, Dorgival; Vieira, Marcos A. M.

doi:10.1109/cnsm.2014.7014202

Cited by 16 publications

(8 citation statements)

References 14 publications

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“…Uma abordagem em que a tabela hash do Calisto possa ser previamente configurada de modo a já ter a política instalada no plano de dados poderia ser um experimento interessante na linha de pesquisa das redes definidas por software [Pantuza et al 2014].…”

Section: Trabalhos Futurosunclassified

Calisto: Sistema para processamento rápido de pacotes com baixa latência em centro de dados

Bleme¹,

Pantuza²,

Vieira³

et al. 2021

Anais Do XXVI Workshop De Gerência E Operação De Redes E Serviços (WGRS 2021)

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A demanda por suporte a baixa latência em ambientes de alta vazão tem aumentado nosúltimos anos. Sistemas como Shenango permitem que servidores processem pacotes rapidamente, mantendo a eficiência na utilização de CPU através de um algoritmo de detecção de congestionamento e o IOKernel, componente dedicado a orquestrar a alocação de novos núcleos. O sistema porém aloca núcleos utilizando a política de escalonamento round-robin. Neste trabalho, apresenta-se Calisto, um novo sistema que implementa uma política eficiente de distribuição de pacotes entre núcleos que mantém afinidade de ﬂuxos, reduzindo a latência em até 10%.

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Section: Trabalhos Futurosunclassified

Calisto: Sistema para processamento rápido de pacotes com baixa latência em centro de dados

Bleme¹,

Pantuza²,

Vieira³

et al. 2021

Anais Do XXVI Workshop De Gerência E Operação De Redes E Serviços (WGRS 2021)

Self Cite

View full text Add to dashboard Cite

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“…Unfortunately, lack of technology-specific data models and drivers limits its applicability. Pantuza et al [30] integrate the NML language with the OpenFlow protocol, using the neo4j graph database. Neo4j provides excellent support for graph processing, but it lacks reasoning and consistency validation automation capabilities.…”

Section: Related Workmentioning

confidence: 99%

ReasoNet: Inferring Network Policies Using Ontologies

Rotsos

Farshad

King

et al. 2018

2018 4th IEEE Conference on Network Softwarization and Workshops (NetSoft)

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Abstract-Modern SDN control stacks consist of multiple abstraction and virtualization layers to enable flexibility in the development of new control features. Rich data modeling frameworks are essential when sharing information across control layers. Unfortunately, existing NOS data modeling capabilities are limited to simple type-checking and code templating. We present an exploration of a more extreme point on SDN data modeling: ReasoNet. Developers can use semantic web technologies to enrich their data models with reasoning rules and integrity/consistency constraints, and automate state inference across layers. We demonstrate the ability of ReasoNet to automate state verification and cross-layer debugging, through the implementation of two popular control applications, a learning switch and a QoS policy engine.

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“…With each checknet iteration, the controller receives the key information for each node, like the computation of its usefulness, extra pairs of nodes that could be connected to the communication backbone, the shortest routing paths from a source to a destination, node's centrality within the network graph, most used nodes, energy expenditure in neighbourhoods, and decisions made over the time. All this information produces and refines a knowledge base that can be managed by the control plane in order to provide a more intelligent behaviour to the network [33]. Therefore, the controller can predict mobility trends based on historical information or probabilistic models.…”

Section: General Architecturementioning

confidence: 99%

A Software Defined Networking Approach to Improve the Energy Efficiency of Mobile Wireless Sensor Networks

Aparicio¹,

Echevarria²,

Legarda³

2017

KSII TIIS

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Mobile Wireless Sensor Networks (MWSN) are usually constrained in energy supply, which makes energy efficiency a key factor to extend the network lifetime. The management of the network topology has been widely used as a mechanism to enhance the lifetime of wireless sensor networks (WSN), and this work presents an alternative to this. Software Defined Networking (SDN) is a well-known technology in data center applications that separates the data and control planes during the network management. This paper proposes a solution based on SDN that optimizes the energy use in MWSN. The network intelligence is placed in a controller that can be accessed through different controller gateways within a MWSN. This network intelligence runs a Topology Control (TC) mechanism to build a backbone of coordinator nodes. Therefore, nodes only need to perform forwarding tasks, they reduce message retransmissions and CPU usage. This results in an improvement of the network lifetime. The performance of the proposed solution is evaluated and compared with a distributed approach using the OMNeT++ simulation framework. Results show that the network lifetime increases when 2 or more controller gateways are used.

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Network management through graphs in Software Defined Networks

Cited by 16 publications

References 14 publications

Calisto: Sistema para processamento rápido de pacotes com baixa latência em centro de dados

Calisto: Sistema para processamento rápido de pacotes com baixa latência em centro de dados

ReasoNet: Inferring Network Policies Using Ontologies

A Software Defined Networking Approach to Improve the Energy Efficiency of Mobile Wireless Sensor Networks

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