Dynamic control of network protocols - a new vision for future self-organising networks

  • In recent years communication protocols have shown an increasing complexity, in particular in terms of the number of variable parameters. Data communication networks like, e. g. , the Internet reach the limits of their extensibility which leads to initiatives coping with the future of the Internet and data communication in general. A first step towards creating a sustainable solution without exchanging the whole system is to make the static character of network protocols more flexible. An adaptive behaviour of nodes within a network and an autonomous, self-organising concept for their control strategies leads to a possible increase in performance accompanied by an increase of extensibility. This paper presents a new vision of how to establish these new control strategies mostly independent of the particular protocol by using the concepts of Organic and Autonomic Computing. We introduce an adaptive and automated network control system for the dynamic and self-organised control of protIn recent years communication protocols have shown an increasing complexity, in particular in terms of the number of variable parameters. Data communication networks like, e. g. , the Internet reach the limits of their extensibility which leads to initiatives coping with the future of the Internet and data communication in general. A first step towards creating a sustainable solution without exchanging the whole system is to make the static character of network protocols more flexible. An adaptive behaviour of nodes within a network and an autonomous, self-organising concept for their control strategies leads to a possible increase in performance accompanied by an increase of extensibility. This paper presents a new vision of how to establish these new control strategies mostly independent of the particular protocol by using the concepts of Organic and Autonomic Computing. We introduce an adaptive and automated network control system for the dynamic and self-organised control of prot ocol parameters. This system consists of two sub-systems: an on-line adaptation mechanism and an off-line learning component. The current status is introduced in combination with the definition of further challenges and fields of research.show moreshow less

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Metadaten
Author:Sven TomfordeGND, Emre Cakar, Jörg HähnerORCiDGND
URN:urn:nbn:de:bvb:384-opus4-481283
Frontdoor URLhttps://opus.bibliothek.uni-augsburg.de/opus4/48128
ISBN:978-989-8111-99-9OPAC
Parent Title (English):ICINCO 2009: proceedings of the 6th International Conference on Informatics in Control, Automation and Robotics, July 2-5, 2009, Milan, Italy
Publisher:SciTePress
Place of publication:Setúbal
Editor:Joaquim Filipe, Juan Andrade Cetto, Jean-Louis Ferrier
Type:Conference Proceeding
Language:English
Year of first Publication:2009
Publishing Institution:Universität Augsburg
Release Date:2019/02/26
Issue:Volume 3
First Page:285
Last Page:290
DOI:https://doi.org/10.5220/0002243302850290
Institutes:Fakultät für Angewandte Informatik
Fakultät für Angewandte Informatik / Institut für Informatik
Fakultät für Angewandte Informatik / Institut für Informatik / Lehrstuhl für Organic Computing
Dewey Decimal Classification:0 Informatik, Informationswissenschaft, allgemeine Werke / 00 Informatik, Wissen, Systeme / 004 Datenverarbeitung; Informatik
Licence (German):CC-BY-NC-ND 4.0: Creative Commons: Namensnennung - Nicht kommerziell - Keine Bearbeitung (mit Print on Demand)