Diferenciação de fluxos sem manutenção de estados em roteadores

• Autor(a) principal: Mussi, Salim Suhet
• Data de Publicação: 2011
• Tipo de documento: Dissertação
• Idioma: por
• Título da fonte: Repositório Institucional da Universidade Federal do Espírito Santo (riUfes)
• Texto Completo: http://repositorio.ufes.br/handle/10/6224
• topic: Roteadores (Rede de computador); Interconexão em rede (Telecomunicações); Telecomunicações - equipamento e acessórios; Engenharia Elétrica; 621.3

Internet traffic is dominated by short data transfers. However, short flows account for a small portion of the total link capacity. In addition, short flows unfairly compete for resources with connections that carry large volumes of data. The performance of TCP (Transmission Control Protocol) operating at slow-start phase (or under the small transmission windows) are impaired when sharing buffers and with long bursts coming from sessions at the stage of congestion control. One way to mitigate this inequality is to treat short and long flows differently. In this work we investigate stateless techniques in order to achieve a good compromise between efficiency and complexity of service differentiation between short and long flows. From the methodological point of view, we adopt an experimental approach using PC-based routers under real traffic. The goal is to achieve trustworthy to the results, since they are not tied to particular features of simulation models, which are often overlook the actual behavior of a network. We use the Click platform for routers implementation. The evaluation methodology for the different mechanisms is based on a controlled environment considering a backup of a hard-disk via FTP (File Transfer Protocol). We present what is, in the authors best knowledge, the first physical implementation of a router with the RUN2C mechanism (Running Class Number 2). In addition, we investigate its performance for different scheduling techniques. Our main contribution is a new method for flow differentiation called RAFLE (Random Lengths Assorter of Flow). In contrast with RuN2C, RAFLE requires no change of current network protocols. The classification of packets belonging to long and short flows is inferred from a small table with identification information of the last forwarded packets, but with no need for keeping the full flow states. Results show that RAFLE s performance exceeds RUN2C s. Moreover, RAFLE is able to virtually reach the performance of systems with full knowledge flows (full-state) in different traffic scenarios.