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Authors: Sven Tomforde 1 ; Jan Kantert 2 ; Sebastian von Mammen 1 and Jörg Hähner 1

Affiliations: 1 Augsburg University, Germany ; 2 Leibniz University Hannover, Germany

Keyword(s): Organic Computing, Intelligent System Control, Evolutionary Algorithms, Collaboration, End-to-End Communication.

Related Ontology Subjects/Areas/Topics: Artificial Intelligence ; Computational Intelligence ; Evolutionary Computing ; Genetic Algorithms ; Informatics in Control, Automation and Robotics ; Intelligent Control Systems and Optimization ; Machine Learning in Control Applications ; Soft Computing

Abstract: Network protocols are deployed in highly dynamic environments, but typically configured with a static setup of configurations. The Organic Network Control system (ONC) has been developed to alter protocol configurations at runtime. ONC is equipped with online learning capabilities and safety considerations. This paper presents a first TCP-based study on how this approach can be applied to end-to-end protocols and simultaneously alleviating the drawbacks of a simulation-based optimisation procedure. The paper explains the developed algorithm and demonstrates the benefit of the solution in an Omnet++ scenario.

CC BY-NC-ND 4.0

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Paper citation in several formats:
Tomforde, S. ; Kantert, J. ; von Mammen, S. and Hähner, J. (2015). Cooperative Self-optimisation of Network Protocol Parameters at Runtime. In Proceedings of the 12th International Conference on Informatics in Control, Automation and Robotics - Volume 1: ICINCO; ISBN 978-989-758-122-9; ISSN 2184-2809, SciTePress, pages 123-130. DOI: 10.5220/0005520701230130

@conference{icinco15,
author={Sven Tomforde and Jan Kantert and Sebastian {von Mammen} and Jörg Hähner},
title={Cooperative Self-optimisation of Network Protocol Parameters at Runtime},
booktitle={Proceedings of the 12th International Conference on Informatics in Control, Automation and Robotics - Volume 1: ICINCO},
year={2015},
pages={123-130},
publisher={SciTePress},
organization={INSTICC},
doi={10.5220/0005520701230130},
isbn={978-989-758-122-9},
issn={2184-2809},
}

TY - CONF

JO - Proceedings of the 12th International Conference on Informatics in Control, Automation and Robotics - Volume 1: ICINCO
TI - Cooperative Self-optimisation of Network Protocol Parameters at Runtime
SN - 978-989-758-122-9
IS - 2184-2809
AU - Tomforde, S.
AU - Kantert, J.
AU - von Mammen, S.
AU - Hähner, J.
PY - 2015
SP - 123
EP - 130
DO - 10.5220/0005520701230130
PB - SciTePress