Algorithms for network service guarantee under minimal link usage information

One way to guaranteeing service for an application flow even if a network happens to fail is to establish a restoration path with the bandwidth that amounts to the same of the flow. If the flows can share the bandwidth for their restoration paths with others, we can reduce bandwidth consumption required for restoration. It is also required that deciding sharable bandwidth among flows should be done using controllable link information at each node. This paper proposes an algorithm to determine the sharable bandwidth among application flows given local link usage information at each node, validates the results of the algorithm and analyze the conditions required to achieve the goal by simulation.5th IFIP International Conference on Network Control & Engineering for QoS, Security and MobilityRed de Universidades con Carreras en Informática (RedUNCI

Algorithms for network service guarantee under minimal link usage information

One way to guaranteeing service for an application flow even if a network happens to fail is to establish a restoration path with the bandwidth that amounts to the same of the flow. If the flows can share the bandwidth for their restoration paths with others, we can reduce bandwidth consumption required for restoration. It is also required that deciding sharable bandwidth among flows should be done using controllable link information at each node. This paper proposes an algorithm to determine the sharable bandwidth among application flows given local link usage information at each node, validates the results of the algorithm and analyze the conditions required to achieve the goal by simulation.5th IFIP International Conference on Network Control & Engineering for QoS, Security and MobilityRed de Universidades con Carreras en Informática (RedUNCI

End-to-end QoE optimization through overlay network deployment

In this paper an overlay network for end-to-end QoE management is presented. The goal of this infrastructure is QoE optimization by routing around failures in the IP network and optimizing the bandwidth usage on the last mile to the client. The overlay network consists of components that are located both in the core and at the edge of the network. A number of overlay servers perform end-to-end QoS monitoring and maintain an overlay topology, allowing them to route around link failures and congestion. Overlay access components situated at the edge of the network are responsible for determining whether packets are sent to the overlay network, while proxy components manage the bandwidth on the last mile. This paper gives a detailed overview of the end-to-end architecture together with representative experimental results which comprehensively demonstrate the overlay network's ability to optimize the QoE

A cross-layer approach to enhance QoS for multimedia applications over satellite

The need for on-demand QoS support for communications over satellite is of primary importance for distributed multimedia applications. This is particularly true for the return link which is often a bottleneck due to the large set of end-users accessing a very limited uplink resource. Facing this need, Demand Assignment Multiple Access (DAMA) is a classical technique that allows satellite operators to offer various types of services, while managing the resources of the satellite system efficiently. Tackling the quality degradation and delay accumulation issues that can result from the use of these techniques, this paper proposes an instantiation of the Application Layer Framing (ALF) approach, using a cross-layer interpreter(xQoS-Interpreter). The information provided by this interpreter is used to manage the resource provided to a terminal by the satellite system in order to improve the quality of multimedia presentations from the end users point of view. Several experiments are carried out for different loads on the return link. Their impact on QoS is measured through different application as well as network level metrics