DYNAMIC CONTROL OF NETWORK PROTOCOLS - A New Vision for Future Self-organising Networks
Sven Tomforde, Emre Cakar, Jörg Hähner
2009
Abstract
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 protocol 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.
References
- Bäck, T. and Schwefel, H.-P. (1996). Evolutionary computing: An overview. In Proceedings of IEEE Conference of Evolutionary Computing.
- Cohen, B. (2003). Incentives Build Robustness in BitTorrent. In Proceedings of the 1st Workshop on Economics of Peer-to-Peer Systems, Berkeley.
- Handley, M. (2006). Why the internet only just works. BT Technology Journal, 24(3):119-129.
- Hoffmann, M., Wittke, M., Bernard, Y., Soleymani, R., and Hahner, J. (2008). Dmctrac: Distributed multi camera tracking. Distributed Smart Cameras, 2008. ICDSC 2008. Second ACM/IEEE International Conference on, pages 1-10.
- Jennings, B., van der Meer, S., Balasubramaniam, S., Botvich, D., Foghlu, M. O., Donnelly, W., and Strassner, J. (2007). Towards autonomic management of communications networks. Communications Magazine, IEEE, 45(10):112-121.
- Kephart, J. O. and Chess, D. M. (2003). The Vision of Autonomic Computing. IEEE Computer, 36(1):41- 50.
- Khelil, A., Marron, P. J., Becker, C., and Rothermel, K. (2007). Hypergossiping: A generalized broadcast strategy for mobile ad hoc networks. Ad Hoc Networks, 5:531-546.
- Montana, D. and Redi, J. (2005). Optimizing parameters of a mobile ad hoc network protocol with a genetic algorithm. In GECCO 7805: Proc. of the 2005 conference on Genetic and evolutionary computation, pages 1993-1998, New York, NY, USA. ACM.
- Prothmann, H., Rochner, F., Tomforde, S., Branke, J., Müller-Schloer, C., and Schmeck, H. (2008). Organic control of traffic lights. In Proc. of the 5th Intern. Conference on Autonomic and Trusted Computing.
- Richter, U., Mnif, M., Branke, J., Müller-Schloer, C., and Schmeck, H. (2006). Towards a generic observer/controller architecture for Organic Computing.
- In Hochberger, C. and Liskowsky, R., editors, INFORMATIK 2006 - Informatik für Menschen!, volume P93 of GI-Edition - Lecture Notes in Informatics (LNI), pages 112-119. Köllen Verlag.
- Schmeck, H. (2005). Organic Computing - A new vision for distributed embedded systems. In Proceedings of the 8th IEEE International Symposium on Object-Oriented Real-Time Distributed Computing (ISORC'05), pages 201-203.
- Schmid, S., Sifalakis, M., and Hutchison, D. (2006). Towards autonomic networks. In 3rd Intern. Annual Conference on Autonomic Networking, Autonomic Communication Workshop (IFIP), Lecture Notes in Computer Science. Springer Verlag, Heidelberg.
- Siekkinen, M., Goebel, V., Plagemann, T., Skevik, K.-A., Banfield, M., and Brusic, I. (2007). Beyond the future internet-requirements of autonomic networking architectures to address long term future networking challenges. Future Trends of Distributed Computing Systems, IEEE International Workshop, 0:89-98.
- Sözer, E. M., Stojanovic, M., and Proakis, J. G. (2000). Initialization and routing optimization for ad-hoc underwater acoustic networks. In Proc. of Opnetwork'00.
- Tomforde, S., Steffen, M., Hähner, J., and Müller-Schloer, C. (2009). Towards an organic network control system. submitted for publication.
- Turgut, D., Daz, S., Elmasri, R., and Turgut, B. (2002). Optimizing clustering algorithm in mobile ad hoc networks using genetic algorithmic approach. In Proc. of the IEEE Global Telecommunications Conference (GLOBECOM 7802), pages 62 - 66.
- Wang, J., Li, L., Low, S. H., and Doyle, J. C. (2005). Crosslayer optimization in TCP/IP networks. IEEE/ACM Trans. Netw., 13(3):582-595.
- Web (2009). The Network http://www.isi.edu/nsnam/ns/.
Paper Citation
in Harvard Style
Tomforde S., Cakar E. and Hähner J. (2009). DYNAMIC CONTROL OF NETWORK PROTOCOLS - A New Vision for Future Self-organising Networks . In Proceedings of the 6th International Conference on Informatics in Control, Automation and Robotics - Volume 3: ICINCO, ISBN 978-989-8111-99-9, pages 285-290. DOI: 10.5220/0002243302850290
in Bibtex Style
@conference{icinco09,
author={Sven Tomforde and Emre Cakar and Jörg Hähner},
title={DYNAMIC CONTROL OF NETWORK PROTOCOLS - A New Vision for Future Self-organising Networks},
booktitle={Proceedings of the 6th International Conference on Informatics in Control, Automation and Robotics - Volume 3: ICINCO,},
year={2009},
pages={285-290},
publisher={SciTePress},
organization={INSTICC},
doi={10.5220/0002243302850290},
isbn={978-989-8111-99-9},
}
in EndNote Style
TY - CONF
JO - Proceedings of the 6th International Conference on Informatics in Control, Automation and Robotics - Volume 3: ICINCO,
TI - DYNAMIC CONTROL OF NETWORK PROTOCOLS - A New Vision for Future Self-organising Networks
SN - 978-989-8111-99-9
AU - Tomforde S.
AU - Cakar E.
AU - Hähner J.
PY - 2009
SP - 285
EP - 290
DO - 10.5220/0002243302850290