Methodological frameworks for large-scale network analysis and design.

This paper emphasizes the need for methodological frameworks for analysis and design of large scale networks which are independent of specific design innovations and their advocacy, with the aim of making networking a more systematic engineering discipline. Networking problems have largely confounde...

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Main Authors: Papachristodoulou, A, Li, L, Doyle, J
Format: Journal article
Language:English
Published: 2004
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author Papachristodoulou, A
Li, L
Doyle, J
author_facet Papachristodoulou, A
Li, L
Doyle, J
author_sort Papachristodoulou, A
collection OXFORD
description This paper emphasizes the need for methodological frameworks for analysis and design of large scale networks which are independent of specific design innovations and their advocacy, with the aim of making networking a more systematic engineering discipline. Networking problems have largely confounded existing theory, and innovation based on intuition has dominated design. This paper will illustrate potential pitfalls of this practice. The general aim is to illustrate universal aspects of theoretical and methodological research that can be applied to network design and verification. The issues focused on will include the choice of models, including the relationship between flow and packet level descriptions, the need to account for uncertainty generated by modelling abstractions, and the challenges of dealing with network scale. The rigorous comparison of proposed schemes will be illustrated using various abstractions. While standard tools from robust control theory have been applied in this area, we will also illustrate how network-specific challenges can drive the development of new mathematics that expand their range of applicability, and how many enormous challenges remain.
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spelling oxford-uuid:5ae76091-0576-4e0d-926a-299a337b33882022-03-26T17:18:52ZMethodological frameworks for large-scale network analysis and design.Journal articlehttp://purl.org/coar/resource_type/c_dcae04bcuuid:5ae76091-0576-4e0d-926a-299a337b3388EnglishSymplectic Elements at Oxford2004Papachristodoulou, ALi, LDoyle, JThis paper emphasizes the need for methodological frameworks for analysis and design of large scale networks which are independent of specific design innovations and their advocacy, with the aim of making networking a more systematic engineering discipline. Networking problems have largely confounded existing theory, and innovation based on intuition has dominated design. This paper will illustrate potential pitfalls of this practice. The general aim is to illustrate universal aspects of theoretical and methodological research that can be applied to network design and verification. The issues focused on will include the choice of models, including the relationship between flow and packet level descriptions, the need to account for uncertainty generated by modelling abstractions, and the challenges of dealing with network scale. The rigorous comparison of proposed schemes will be illustrated using various abstractions. While standard tools from robust control theory have been applied in this area, we will also illustrate how network-specific challenges can drive the development of new mathematics that expand their range of applicability, and how many enormous challenges remain.
spellingShingle Papachristodoulou, A
Li, L
Doyle, J
Methodological frameworks for large-scale network analysis and design.
title Methodological frameworks for large-scale network analysis and design.
title_full Methodological frameworks for large-scale network analysis and design.
title_fullStr Methodological frameworks for large-scale network analysis and design.
title_full_unstemmed Methodological frameworks for large-scale network analysis and design.
title_short Methodological frameworks for large-scale network analysis and design.
title_sort methodological frameworks for large scale network analysis and design
work_keys_str_mv AT papachristodouloua methodologicalframeworksforlargescalenetworkanalysisanddesign
AT lil methodologicalframeworksforlargescalenetworkanalysisanddesign
AT doylej methodologicalframeworksforlargescalenetworkanalysisanddesign