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    Lehrstuhl für Informatik III

    The workshop "Internet QoE" was successfully completed in Los Angeles @ UCLA. Four keynotes were given, a panel discussion was held, and 7 full papers were presented. Slides of the keynotes are available on request at <florian.wamser@informatik.uni-wuerzburg.de>.

     

    ACM SIGCOMM 2017 2nd Workshop on QoE-based Analysis and Management of Data Communication Networks (Internet-QoE 2017)

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    An extended version of our paper "Analytic Model for SDN Controller Traffic and Switch Table Occupancy" will be published in the next issue of the IEEE Transactions on Network and Service Management.

     

    Abstract:

    Software Defined Networking (SDN) has emerged as a promising networking paradigm overcoming various drawbacks of current communication networks. The control and data plane of switching devices is decoupled and control functions are centralized at the network controller. In SDN, each new flow introduces additional signaling traffic between the switch and the controller. Based on this traffic, rules are created in the flow table of the switch, which specify the forwarding behavior. To avoid table overflows, unused entries are removed after a predefined time-out period. Given a specific traffic mix, the choice of this time-out period affects the trade-off between signaling rate and table occupancy. As a result, network operators have to adjust this parameter to enable a smooth and efficient network operation. Due to the complexity of this problem caused by the various traffic flows in a network, a suitable abstraction is necessary in order to derive valid parameter values in time. The contribution of this work is threefold. Firstly, we formulate a simple analytical model that allows optimizing the network performance with respect to the table occupancy and the signaling rate. Secondly, we validate the model by means of simulation. Thirdly, we illustrate the impact of the time-out period on the signaling traffic and the flow table occupancy for different data-plane traffic mixes and characteristics. This includes scenarios with single application instances, as well as multiple application instances of different application types in an SDN-enabled network.

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    Das Team um Florian Wamser, Frank Loh, Roberto Bruschi, Paolo Lago, Michael Seufert und Phuoc Tran-Gia hat mit der Demo "Dynamic Cloud Service Placement for Live Video Streaming with a Remote-Controlled Drone" den Best Demonstration Award des IFIP/IEEE International Symposium on Integrated Network Management 2017 (IM) in Lissabon gewonnen. Die Demonstration zeigt wie durch Migration von Clouddiensten in Edge Cloud-Netzwerken die Quality of Experience (QoE) beim Fernsteuern einer Drohne verbessert werden kann. Sie wurde im INPUT Projekt zusammen mit den Partnern vom Consorzio Nazionale Interuniversitario per le Telecomunicazioni (CNIT) an der Universität Genua vorbereitet.

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    Web portal online!

    19.01.2017

    We are pleased that the web portal for YoMoApp users (YoMoApp Dashboard) is now available. Log into the homepage and download all the information about your YouTube streaming behavior. The goal is to give all interested parties - especially scientists - access to their measurement data and YouTube streaming performance.

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    We are proud that in 2016 we have passed the great threshold of 1500 chats. Thus, we have gained chats and important data, which are used for scientific work. Thanks to all for contributing.

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    We are preparing a download portal for YoMoApp. This will make it possible to retrieve your statistics and download behavior analysis in the future. The idea is that in the future researchers will be able to use the app to retrieve YouTube analysis data on their own.

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    Our Paper "Analytic Model for SDN Controller Traffic and Switch Table Occupancy" will be in the proceedings of the CNSM 2016 in Montreal.

     

    Abstract:

    Software Defined Networking (SDN) is a major paradigm in the field of current communication networks. SDN is used as the basis of many new networks although few performance models are available in the literature, and the majority of performance evaluations are based primarily on practical measurements. To fill this gap, we develop an analytical model to assess SDN control plane traffic as well as the occupancy of the flow table of an SDN switch. The contribution of this work is the formulation of the model for the performance-decisive parameters control-plane traffic and flow table occupancy and the application of the model for different data plane traffic characteristics. In the end, there is a discussion about the setting of time-out values for storing flow entries in the switch flow table depending on the traffic characteristics in the data plane. The trade-off between the signaling traffic in the control plane and the occupancy of the flow table is discussed to minimize both.

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    Our H2020 INPUT project successfully passed the first review. The comments and the suggestions received from our reviewers are very constructive and timely.

     

    "The project has fully achieved its objectives and milestones in relation to the Description of Action. Overall the project has done a very professional work."

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    SDN-RAS²: Kick-off

    27.07.2016

    Our new Project "SDN-RAS²" has been started today. This project focuses on Fast failure Detection in Software-Defined Networks and is a successor to our "SDN-RAS" project. We are looking forward to continue the cooperation with our partner.

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    The recent trend towards encrypted HTTPS traffic (e.g., YouTube, Vimeo) is about to inhibit the applicability of passive monitoring in the operators' networks to estimate the QoE of end users. However, machine learning is a promising approach to gain insights into the streaming quality from traffic/flow characteristics.

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    Lehrstuhl für Informatik III (Kommunikationsnetze)
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