Detalhes bibliográficos
Ano de defesa: |
2011 |
Autor(a) principal: |
Freitas, Leandro Alexandre
![lattes](/bdtd/themes/bdtd/images/lattes.gif?_=1676566308) |
Orientador(a): |
Venâncio Neto, Augusto José
![lattes](/bdtd/themes/bdtd/images/lattes.gif?_=1676566308) |
Banca de defesa: |
Venâncio Neto, Augusto José,
Cerqueira, Eduardo Coelho,
Cardoso, Kleber Vieira |
Tipo de documento: |
Dissertação
|
Tipo de acesso: |
Acesso aberto |
Idioma: |
por |
Instituição de defesa: |
Universidade Federal de Goiás
|
Programa de Pós-Graduação: |
Programa de Pós-graduação em Ciência da Computação (INF)
|
Departamento: |
Instituto de Informática - INF (RG)
|
País: |
Brasil
|
Palavras-chave em Português: |
|
Palavras-chave em Inglês: |
|
Área do conhecimento CNPq: |
|
Link de acesso: |
http://repositorio.bc.ufg.br/tede/handle/tede/3307
|
Resumo: |
The Future Internet concepts and designs of 4WARD project concerns a clean-slate architecture with various networking innovations, including a new connectivity paradigm called Generic Path (GP). In GP architecture, several facilities are designed to efficiently support complex value-added applications and services with assured Quality of Service (QoS). GPs mainly abstract underlying network heterogeneity, and any entity, regardless its scope (technology, location or architectural layer) communicate each other in a single way via a common interface. To that, cooperation with network-layer provisioning mechanisms is required in the sense to map data paths meeting session-demanded resources (QoS requirements - minimum bandwidth and maximum delay/loss experience) into appropriate GPs. In contrast as support today, robust and scalable QoS-provisioning facilities are strongly required for efficient GP allocations. Therefore, this dissertation introduces the QoS-Routing and Resource Control (QoSRRC), a set of GP-compliant facilities to cope with the hereinabove requirements. QoSRRC complements GP architecture with QoS-oriented routing, aided with load balancing, to select paths meeting session-demands while keeping residual bandwidth to increase user experience. For scalability, QoS-RRC operates based on an overprovisioning-centric approach, which places low state storage and network operations. Initial QoS-RRC performance evaluation was carried out in Network Simulator v.2 (NS2), demonstrating drastic improvements of flow delay experience and bandwidth use among a relevant state-of-the-art solution. Moreover, the impact of QoS-RRC compared to current IP QoS and routing standards on the user experience has been evaluated, by analysing main objective and subjective Quality of Experience (QoE) metrics, namely Peak Signal to Noise Ratio (PSNR), The Structural Similarity Index (SSIM), Video Quality Metric (VQM) and Mean Opinion Score (MOS). |