Publicação
Deploying time-based sampling techniques in Software-Defined Networking
| Resumo: | Today’s computer networks face demanding challenges with the proliferation of services and applications requiring constant access, low latency and high throughput from network infrastructures. The increase in the demand for this type of services requires continuous analysis and a network topology capable of adapting to the dynamic nature of applications, in order to overcome challenges such as performance, security and flexibility. Software-Defined Networking (SDN) emerge as a solution to meet these challenges by using a network control plane, dissociated from the data plane, able to have a global view of the topology and act when required, depending on the variation in infrastructure congestion. Decisions involving different activities, such as network management and performance evaluation, rely on information about the state of the network that in traditional networks involves a substantial amount of data. Traffic sampling is essential in order to provide valuable statistical data to applications and enable appropriate control and monitoring decisions to be made. In this context, this work proposes the application of time-based sampling techniques in a SDN environment to provide network statistics at the controller level, taking into account the underlying need to establish a balance between the reliability of the data collected and the computational burden involved in the sampling process. The results obtained emphasize that it is possible to apply these sampling techniques by using OpenFlow Group Mod messages, although packet losses can occur on the switch during periods of network congestion. |
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| Autores principais: | Teixeira, David Rodrigues |
| Assunto: | Engenharia e Tecnologia::Engenharia Eletrotécnica, Eletrónica e Informática |
| Ano: | 2017 |
| País: | Portugal |
| Tipo de documento: | dissertação de mestrado |
| Tipo de acesso: | acesso aberto |
| Instituição associada: | Universidade do Minho |
| Idioma: | inglês |
| Origem: | RepositóriUM - Universidade do Minho |
| Resumo: | Today’s computer networks face demanding challenges with the proliferation of services and applications requiring constant access, low latency and high throughput from network infrastructures. The increase in the demand for this type of services requires continuous analysis and a network topology capable of adapting to the dynamic nature of applications, in order to overcome challenges such as performance, security and flexibility. Software-Defined Networking (SDN) emerge as a solution to meet these challenges by using a network control plane, dissociated from the data plane, able to have a global view of the topology and act when required, depending on the variation in infrastructure congestion. Decisions involving different activities, such as network management and performance evaluation, rely on information about the state of the network that in traditional networks involves a substantial amount of data. Traffic sampling is essential in order to provide valuable statistical data to applications and enable appropriate control and monitoring decisions to be made. In this context, this work proposes the application of time-based sampling techniques in a SDN environment to provide network statistics at the controller level, taking into account the underlying need to establish a balance between the reliability of the data collected and the computational burden involved in the sampling process. The results obtained emphasize that it is possible to apply these sampling techniques by using OpenFlow Group Mod messages, although packet losses can occur on the switch during periods of network congestion. |
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