Abstract
Evolution towards the Future (Internet) networks necessitates inclusion of self-management capabilities in modern network infrastructures, for a satisfactory provision of related services and for preserving network performance. We have considered a specific targeted methodology, in the form of the generic cognitive cycle model, which includes three distinct processes (i.e. Monitoring, Decision Making and Execution), known as the “MDE” model, able to support dynamic resource allocation and traffic routing schemes. For further understanding of the issue we have examined two essential use-cases of practical interest, both in the context of modern wireless infrastructures: The former was about dynamic spectrum re-allocation for efficient use of traffic, while the latter has examined intelligent dynamic traffic management for handling network overloads, to avoid congestion.
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References
The Netherlands Ministry of Economic Affairs: The Internet: A Shared Future (Publication Number 08ET13), The Hague (2008)
Commission of the European Communities: Communication on i2010 - A European Information Society for Growth and Development [COM(2005) 229 final, 01.06.2005], Brussels (2005)
DG Information Society and Media of the European Commission: A Compendium of European Projects on ICT Research Supported by the EU 7th Framework Programme for RTD, Brussels (2008)
Pfeifer, R., Scheier, C.: Understanding Intelligence. MIT Press, Cambridge (1999)
Elliott, C., Heile, B.: Self-Organizing, Self-Healing Wireless Networks. In: IEEE International Conference on Personal Wireless Communications, pp. 355–362 (2000)
Biskupski, B., Dowling, L., Sacha, J.: Properties and Mechanisms of Self-organizing MANET and P2P Systems. ACM Transactions on Autonomous and Adaptive Systems (TAAS) 2(1), 1–34 (2007)
Blumenthal, M., Clark, D.D.: Rethinking the Design of the Internet: The End-to-End Arguments vs. the Brave New World. ACM Transactions on Internet Technology 1(1), 70–109 (2001)
Weiss, T., Jondral, F.: Spectrum Pooling: An Innovative Strategy for the Enhancement of Spectrum Efficiency. IEEE Communications Magazine 42, S8–S14 (2004)
Pioro, M., Mehdi, D.: Routing, Flow and Capacity Design in Communication and Computer Networks. Morgan Kaufmann, San Francisco (2004)
Mitola, J.: Cognitive Radio. An Integrated Agent Architecture for Software Defined Radio. Ph.D. Thesis. Sweden (2000)
Thomas, R.W., DaSilva, L.A., MacKenzie, A.B.: Cognitive Networks. In: IEEE DySPAN 2005, November 2005, pp. 352–360 (2005)
Haykin, S.: Cognitive Radio: Brain-Empowered Wireless Communications. IEEE Journal on Selected Areas in Communications 23(2), 201–220 (2005)
Buddhikot, M.M., Ryan, K.: Spectrum Management in Coordinated Dynamic Spectrum Access Based Cellular Networks. In: Proceedings of IEEE Dishpans 2005, November 2005, pp. 299–307 (2005)
Akyildiz, I.F., Lee, W., Vuran, M., Mohanty, S.: Next Generation/Dynamic Spectrum Access/Cognitive Radio Wireless Networks: A Survey. Computer Networks: The International Journal of Computer and Telecommunications Networking 50(13), 2127–2159 (2006)
Akyildiz, I.F., Altunbasak, Y., Fekri, F., Sivakumar, R.: AdaptNet: Adaptive Protocol Suite for Next Generation Wireless Internet. IEEE Communications Magazine 42(3), 128–138 (2004)
Zander, J., Kim, S.-L., Almgren, M.: Radio Resource Management for Wireless Networks. Artech House (2001)
Buddhikot, M.M., Kolodzy, P., Miller, S., Ryan, K., Evans, J.: DIMSUMNet: New directions in wireless networking using coordinated dynamic spectrum access. In: Sixth IEEE International Symposium on World of Wireless Mobile and Multimedia Networks, June 2005, pp. 78–85 (2005)
Zhao, O., Sadler, B.: A Survey of Dynamic Spectrum Access. IEEE Signal Processing Magazine 79(3), 79–89 (2007)
Ahuja, R.K., Magnanti, R.L., Orlin, J.B.: Network Flows. Prentice-Hall, Englewood Cliffs (1993)
Ahlswede, R., Cai, N., Li, S.-Y.R., Yeung, R.W.: Network information flow. IEEE Trans. on Information Theory 46(4), 1204–1216 (2000)
Barford, P., Plonka, D.: Characteristics of Network Traffic Flow Anomalies. In: ACM SIGCOMM Internet Measurement Workshop, San Francisco, pp. 69–73 (2001)
Estfan, C., Varghese, G.: New Directions in Traffic Measurement and Accounting. In: ACM SIGCOMM Internet Measurement Workshop, San Francisco, pp. 75–80 (2001)
Fowler, H.J., Leland, W.E.: Local Area Network Traffic Characteristics, with Implications for Broadband Network Congestion Management. IEEE Journal of Selected Areas in Communications 9(7), 1139–1149 (1991)
Sarachik, P., Panwar, S., Liang, P., Papavassiliou, S., Tsaih, D., Tassiulas, L.: A Modeling Approach for the Performance Management of High Speed Networks. In: Network Management and Control, vol. 2, pp. 149–163. Plenum Press, New York (1994)
Whitehead, M.J., Williams, P.M.: Adaptive Network Overload Controls. BT Technology Journal 20(3), 31–54 (2002)
Thomas, R.W., Friend, D.H., DaSilva, L.A., MacKenzie, A.B.: Cognitive Networks: Adaptation and Learning to Achieve End-to-End Performance Objectives. IEEE Communications Magazine 44(12), 51–57 (2006)
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Chochliouros, I.P., Alonistioti, N., Spiliopoulou, A.S., Agapiou, G., Mihailovic, A., Belesioti, M. (2009). Self-management in Future Internet Wireless Networks: Dynamic Resource Allocation and Traffic Routing for Multi-service Provisioning. In: Granelli, F., Skianis, C., Chatzimisios, P., Xiao, Y., Redana, S. (eds) Mobile Lightweight Wireless Systems. Mobilight 2009. Lecture Notes of the Institute for Computer Sciences, Social Informatics and Telecommunications Engineering, vol 13. Springer, Berlin, Heidelberg. https://doi.org/10.1007/978-3-642-03819-8_22
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DOI: https://doi.org/10.1007/978-3-642-03819-8_22
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