63 research outputs found

    gTFRC: a QoS-aware congestion control algorithm

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    This study addresses the end-to-end congestion control support over the DiffServ Assured Forwarding (AF) class. The resulting Assured Service (AS) provides a minimum level of throughput guarantee. In this context, this paper describes a new end-to-end mechanism for continuous transfer based on TCP-Friendly Rate Control (TFRC) originally proposed in [11]. The proposed approach modifies TFRC to take into account the QoS negotiated. This mechanism, named gTFRC, is able to reach the minimum throughput guarantee whatever the flow's RTT and target rate. Simulation measurements show the efficiency of this mechanism either in over-provisioned or exactly-provisioned network. In addition, we show that the gTFRC mechanism can be used in the same DiffServ/AF class with TCP or TFRC flows

    Proportional bandwidth distribution in IP networks implementing the assured forwarding PHB

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    Recent demands for new applications are giving rise to an increasing need of Quality of Service (QoS). Nowadays, most IP-based networks tend to use the DiffServ architecture to provide end-to-end QoS. Traffic conditioners are a key element in the deployment of DiffServ. In this paper, we introduce a new approach for traffic conditioning based on feedback signaling among boundary nodes and traffic conditioners. This new approach is intended to provide a poportional distribution of excess bandwidth to endusers. We evaluate through extensive simulations the performance of our proposal in terms of final throughput, considering contracted target rates and distribution of spare bandwidth. Results show a high level of fairness in the excess bandwidth allocation among TCP sources under different network conditions

    An investigation into QoS provisioning in a DiffServ Network

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    The objective of this paper is to outline an investigation into the performance of various applications using both Expedited Forwarding (EF) and Assured Forwarding (AF) classification of traffic. Applications will be run on a generic testbed and then, through the use of open source and commercial packages, the traffic will be monitored and a performance evaluation will be carried out of the DiffServ network and the services it provides

    EVEREST IST - 2002 - 00185 : D23 : final report

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    Deliverable públic del projecte europeu EVERESTThis deliverable constitutes the final report of the project IST-2002-001858 EVEREST. After its successful completion, the project presents this document that firstly summarizes the context, goal and the approach objective of the project. Then it presents a concise summary of the major goals and results, as well as highlights the most valuable lessons derived form the project work. A list of deliverables and publications is included in the annex.Postprint (published version

    Efficient resource management for end-to-end QoS guarantees in DiffServ networks

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    The Differentiated Services (DiffServ) architecture has been proposed as a scalable solution for delivering end-to-end Quality of Service (QoS) guarantees over the Internet. While the scalability of the data plane emerges from the definition of only a small number of different service classes, the issue of a scalable control plane is still an open research problem. The initial proposal was to use a centralized agent, called Bandwidth Broker (BB), to manage the resources within each DiffServ domain and make local admission control decisions. In this paper, we propose an alternative distributed approach, where the local admission decisions are made independently at the edge routers of each domain. We will show, through simulation results, that this distributed approach can manage the network resources very efficiently, leading to lower bandwidth blocking rates when compared to traditional shortest path admission control. Moreover, its simplicity and distributed implementation make it a very scalable solution for resource management in DiffServ networks.published_or_final_versio

    Implementation of a Simple Bandwidth Broker for DiffServ Networks

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    Abstract To date, QoS solutions that have been developed are confined to enterprise networks due to the scalability problems in inter-domain QoS provisioning. Therefore implementing a service that guarantees end-to-end QoS across the Internet has yet to be fully realised. It is believed that such a service will need to evolve regionally, then nationally and, finally, on a global scale in the same way that the Internet became a global network. By developing such a system, regional and national Network Service Providers (NSP) can be influenced more easily to provide guaranteed QoS for its users, by enabling them to generate revenue from service differentiations in IP networks. Implementation of a QoS management framework is required in order to create end-to-end services across multiple administrative domains. Such a framework also offers easier integration of accounting, billing and security. A Differentiated Services (DiffServ) network alone is not sufficient to address the end-to-end guarantees in network layer service provision but, significantly, it does show great potential for scalability. In order to address the aforementioned problems, a centralised, QoS, management architecture has been proposed -called a Bandwidth Broker (BB). The implementation of a fully automated BB in a single administrative domain is outlined in this paper. The importance of implementing such a BB is ease of extendibility to any other QoS mechanisms such as IntServ and MPLS as well as concepts of Inter-domain QoS, Traffic Engineering, Policy QoS and Mobility Management with QoS. This paper does not intend to investigate those particular extended concepts and restricts implementation of the BB to a single DiffServ domain

    Advances in Internet Quality of Service

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    We describe recent advances in theories and architecture that support performance guarantees needed for quality of service networks. We start with deterministic computations and give applications to integrated services, differentiated services, and playback delays. We review the methods used for obtaining a scalable integrated services support, based on the concept of a stateless core. New probabilistic results that can be used for a statistical dimensioning of differentiated services are explained; some are based on classical queuing theory, while others capitalize on the deterministic results. Then we discuss performance guarantees in a best effort context; we review: methods to provide some quality of service in a pure best effort environment; methods to provide some quality of service differentiation without access control, and methods that allow an application to control the performance it receives, in the absence of network support

    Theories and Models for Internet Quality of Service

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    We survey recent advances in theories and models for Internet Quality of Service (QoS). We start with the theory of network calculus, which lays the foundation for support of deterministic performance guarantees in networks, and illustrate its applications to integrated services, differentiated services, and streaming media playback delays. We also present mechanisms and architecture for scalable support of guaranteed services in the Internet, based on the concept of a stateless core. Methods for scalable control operations are also briefly discussed. We then turn our attention to statistical performance guarantees, and describe several new probabilistic results that can be used for a statistical dimensioning of differentiated services. Lastly, we review recent proposals and results in supporting performance guarantees in a best effort context. These include models for elastic throughput guarantees based on TCP performance modeling, techniques for some quality of service differentiation without access control, and methods that allow an application to control the performance it receives, in the absence of network support

    A flexible, abstract network optimisation framework and its application to telecommunications network design and configuration problems

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    A flexible, generic network optimisation framework is described. The purpose of this framework is to reduce the effort required to solve particular network optimisation problems. The essential idea behind the framework is to develop a generic network optimisation problem to which many network optimisation problems can be mapped. A number of approaches to solve this generic problem can then be developed. To solve some specific network design or configuration problem the specific problem is mapped to the generic problem and one of the problem solvers is used to obtain a solution. This solution is then mapped back to the specific problem domain. Using the framework in this way, a network optimisation problem can be solved using less effort than modelling the problem and developing some algorithm to solve the model. The use of the framework is illustrated in two separate problems: design of an enterprise network to accommodate voice and data traffic and configuration of a core diffserv/MPLS network. In both cases, the framework enabled solutions to be found with less effort than would be required if a more direct approach was used
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