traffic characterization and quality of service pdf

Traffic Characterization And Quality Of Service Pdf

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QoS technologies accomplish this by providing differentiated handling and capacity allocation to specific flows in network traffic. This enables the network administrator to assign the order in which packets are handled, and the amount of bandwidth afforded to that application or traffic flow.

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Skip to Main Content. A not-for-profit organization, IEEE is the world's largest technical professional organization dedicated to advancing technology for the benefit of humanity. Use of this web site signifies your agreement to the terms and conditions. A learning based mobile user traffic characterization for efficient resource management in cellular networks Abstract: With the evolution of various new types of application services for mobile devices, cellular operators have started providing multiple subscription plans to the mobile users.

What is Quality of Service?

Unless otherwise stated, all rights belong to the author. You may download, display and print this publication for Your own personal use. Commercial use is prohibited. JavaScript is disabled for your browser. Some features of this site may not work without it. Traffic characterization for traffic engineering purposes: Analysis of Funet data. By permission. Characteristics of origin-destination pair traffic in Funet. Telecommunication Systems, , Effects of spatial aggregation on the characteristics of origin-destination pair traffic in Funet.

Adaptive load balancing using MPLS. Riikka Susitaival and Samuli Aalto. Adaptive load balancing with OSPF. Load balancing by MPLS in differentiated services networks. Riikka Susitaival. Load balancing by joint optimization of routing and scheduling in wireless mesh networks.

Analyzing the dynamics and resource usage of P2P file sharing by a spatio-temporal model. Modelling the population dynamics and the file availability in a BitTorrent-like P2P system with decreasing peer arrival rate. Analyzing the file availability and download time in a P2P file sharing system.

Name: isbn Size: 6. Format: PDF. Size: Name: article1. Size: 2. Name: article3. Size: 1. Name: article5. Name: article6. Name: article7. Name: article8. Name: article9. Name: article Send Feedback. Susitaival, Riikka. Electrical engineering. On one hand, traffic offered between origin and destination nodes loads the network and on the other hand, this traffic has to be carried in the network in such a way that performance objectives are fulfilled.

In this thesis, we study three different problem areas related to traffic engineering covering traffic characterization, load balancing and peer-to-peer P2P file sharing. In the first part of this thesis we characterize the measured traffic on a link in the Finnish backbone network Funet. Traffic on the link is first considered as an aggregate and then split into origin-destination pairs based on the IP addresses of the packets.

At a fine level of spatial aggregation we identify four typical OD pair representatives called "Normal", "Bursty", "Uniform" and "Periodic". In particular, we are interested in how the so-called moving IID Gaussian model fits together with the aggregate link data and the OD pair representatives. The second part of the thesis considers load balancing in different types of networks.

The idea of load balancing is to move traffic from congested links to other parts of the network in a well-controlled way. If the traffic demands are known, the load balancing can be formulated as an optimization problem.

However, knowledge of traffic demands is often lacking. For that reason we propose an adaptive and distributed algorithm that gradually balances the load by making small changes in the traffic-splitting ratios on the basis of measured link loads. By numerical evaluation we find that the adaptive algorithm converges rapidly almost to the optimum.

We also develop optimization algorithms that differentiate traffic classes in terms of mean delay. In this thesis, the differentiation is achieved by the use of both routing and WFQ scheduling.

Finally, the load balancing of wireless multihop networks is considered by formulating a linear optimization problem for the joint optimization of both routing and scheduling of the network.

In the third part of the thesis we consider the population dynamics and performance of novel P2P file-sharing networks. First we study the dynamics of distributing a single chunk by a deterministic fluid model as well as by a more detailed Markov model, which makes evaluation of the lifetime of the system possible.

Then we extend the Markov chain model to the case of two chunks and compare the performance of different chunk or peer selection policies in terms of the lifetime as well as the download time of the file. Finally, with a spatio-temporal model we assess how much selecting the nearest peer instead of a random one reduces the usage of the resources of the underlying network.

Quality of Service for Voice over IP

Skip to search form Skip to main content You are currently offline. Some features of the site may not work correctly. DOI: Wrege and J. Wrege , J. Conference on Computer Communications.

Quality of service QoS is the description or measurement of the overall performance of a service, such as a telephony or computer network or a cloud computing service, particularly the performance seen by the users of the network. To quantitatively measure quality of service, several related aspects of the network service are often considered, such as packet loss , bit rate , throughput , transmission delay , availability , jitter , etc. In the field of computer networking and other packet-switched telecommunication networks, quality of service refers to traffic prioritization and resource reservation control mechanisms rather than the achieved service quality. Quality of service is the ability to provide different priorities to different applications, users, or data flows , or to guarantee a certain level of performance to a data flow. Quality of service is particularly important for the transport of traffic with special requirements. In particular, developers have introduced Voice over IP technology to allow computer networks to become as useful as telephone networks for audio conversations, as well as supporting new applications with even stricter network performance requirements. In the field of telephony , quality of service was defined by the ITU in

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Garcia, A. Rachdi, O. Schneps-Schneppe, V. Donner, M.

Skip to Main Content. A not-for-profit organization, IEEE is the world's largest technical professional organization dedicated to advancing technology for the benefit of humanity. Use of this web site signifies your agreement to the terms and conditions.

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4 Comments

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    This document also provides high-level examples showing how to deploy these features in different network environments.

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