Abstract
The growing heterogeneity and scalability of Internet services has complicated, beyond human capabilities, the management of network devices. Therefore, a new paradigm called autonomic networking is being introduced to control, in an efficient and automatic manner, this complex environment. This approach aims to enhance network elements with capabilities that allow them to choose their own behavior for achieving high-level directives. This so called autonomic network element should be able to optimize its configuration, ensure its protection, detect/repair unpredicted conflicts between services requirements and coordinate its behavior with other network elements.
In this paper, we present a research activity that investigates this new concept, and applies it to facilitate the configuration and the optimization of a multi-services IP network. This approach is a first step toward building a self-configured and self-optimized IP network that automatically supports the QoS requirements of heterogeneous applications without any external intervention. Different paradigms have been explored in order to model this behavior and to render network equipment autonomic. A laboratory prototype has been developed to highlight the autonomic behavior of the network to achieve heterogeneous QoS requirements of multimedia and data applications.
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References
Smirnov, M., Popescu-Zeletin, R.: Autonomic Communication, Communication Paradigms for 2020. Future and Emerging Technologies (FET), Brussels (July 22, 2003)
Kephart, J.O., Chess, D.: Vision of Autonomic Computing. Computer Magazine, IEEE (2003)
Kephart, J.O., Walsh, W.E.: An Artificial Intelligence Perspective on Autonomic Computing Policies. In: Proceedings of the 4th international Workshop on Policies for Distributed Systems and Networks, New York, June 7-9 (2004)
Strassner, J.: Realizing on demand networking. In: Proceedings of the 6th IFIP/IEEE International Conference on Management of Multimedia Networks and Services, September 7-10. Queen’s University of Belfast, Northern Ireland (2003)
Bandara, A.K., Lupu, E.C., Moffett, J.D., Russo, A.: A Goal-based Approach to Policy Refinement. In: IEEE 5th International Workshop on Policies for Distributed Systems and Networks, POLICY 2004, June 7-9 (2004)
Stojanovic, L., Schneider, J., Maedche, A., Libischer, S., Studer, R., Lumpp, T., Abecker, A., Breiter, G., Dinger, J.: The role of ontologies in autonomic computing. Published in IBM Systems Journal 43(3) (2004)
DMTF: Common Information Model (CIM) Specification, V2.2, DSP0004, June 14 (1999)
DMTF: Representation of CIM in XML, v2.2, DSP0201, December 9 (2004)
Brown, M.A.: Guide to IP Layer Network Administration with Linux, Traffic-Control-HOWTO, http://linux-ip.net/articles/Traffic-Control-HOWTO/
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© 2005 IFIP International Federation for Information Processing
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Lehtihet, E., Derbel, H., Agoulmine, N., Ghamri-Doudane, Y., van der Meer, S. (2005). Initial Approach Toward Self-configuration and Self-optimization in IP Networks. In: Dalmau Royo, J., Hasegawa, G. (eds) Management of Multimedia Networks and Services. MMNS 2005. Lecture Notes in Computer Science, vol 3754. Springer, Berlin, Heidelberg. https://doi.org/10.1007/11572831_32
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DOI: https://doi.org/10.1007/11572831_32
Publisher Name: Springer, Berlin, Heidelberg
Print ISBN: 978-3-540-29641-6
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