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Workshop on Models, Methods and Tools for Reproducible Network Research - Internet Connectivity at the AS-level: An Optimization-Driven Modeling Approach
Chang, Hyunseok; Jamin, Sugih; Willinger, Walter (2003)
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mla
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Chang H., et al. "Workshop on Models, Methods and Tools for Reproducible Network Research - Internet Connectivity at the AS-level: An Optimization-Driven Modeling Approach.", timms video, Universität Tübingen (2003): https://timms.uni-tuebingen.de:443/tp/UT_20030825_006_mometools_0001. Accessed 26 Sep 2020.
apa
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Chang, H., Jamin, S. & Willinger, W. (2003). Workshop on Models, Methods and Tools for Reproducible Network Research - Internet Connectivity at the AS-level: An Optimization-Driven Modeling Approach. timms video: Universität Tübingen. Retrieved September 26, 2020 from the World Wide Web https://timms.uni-tuebingen.de:443/tp/UT_20030825_006_mometools_0001
harvard
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Chang, H., Jamin, S. and Willinger, W. (2003). Workshop on Models, Methods and Tools for Reproducible Network Research - Internet Connectivity at the AS-level: An Optimization-Driven Modeling Approach [Online video]. 25 August. Available at: https://timms.uni-tuebingen.de:443/tp/UT_20030825_006_mometools_0001 (Accessed: 26 September 2020).
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title: Workshop on Models, Methods and Tools for Reproducible Network Research - Internet Connectivity at the AS-level: An Optimization-Driven Modeling Approach
alt. title: Session 2: Topology Modelling
creators: Chang, Hyunseok (author), Jamin, Sugih (author), Willinger, Walter (author)
subjects: Workshop, Topology Modelling, Optimization-Driven Modelling, Internet Graphs, HOT-Models
description: Workshop im SoSe; Mittwoch, 25. August 2003
abstract: Two ASs are connected in the Internet AS graph only if they have a business "peering relationship." By focusing on the AS subgraph ASPC whose links represent provider-customer relationships, we develop a new optimization-driven model for Internet growth at the ASPC level. The model's defining feature is an explicit construction of a novel class of intuitive, multi-objective, local optimizations by which the different customer ASs determine in a fully distributed and decentralized fashion their "best" upstream provider AS. Key criteria that are explicitly accounted for in the formulation of these multi-objective optimization problems are (i) AS-geography, i.e., locality and number of PoPs within individual ASs; (ii) AS-specic business models, abstract toy models that describe how individual ASs choose their "best" provider; and (iii) AS evolution, a historic account of the "lives" of individual ASs in a dynamic ISP market. We show that the resulting model is broadly robust, perforce yields graphs that match inferred AS connectivity with respect to a number of different metrics, and is ideal for exploring the impact of new peering incentives or policies on AS-level connectivity.
publisher: ZDV Universität Tübingen
contributors: Carle, Georg (producer), Carle, Georg (organizer), Biersack, Ernst (chairman)
creation date: 2003-08-25
dc type: image
localtype: video
identifier: UT_20030825_006_mometools_0001
language: eng
rights: Url: https://timmsstatic.uni-tuebingen.de/jtimms/TimmsDisclaimer.html?637367277051719961