The rapid growth of the Internet has led to tremendous network management complexities. This is largely due to the rapid changes in network technology, traffic behaviour, and service environments, which require communication systems to be more robust, scalable, and adaptive to such changes. Biological systems exhibit these characteristics and have tremendous capabilities to adapt to environmental changes. In this chapter we present a bio-inspired framework for autonomic communication systems, where the framework can be applied to infrastructure or ad hoc networks as well as service environments. Case study applications of the framework for infrastructure network have also been presented.
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References
Shen W, Salemi B, Will P (2002) Hormone-Inspired Adaptive Communication and Distributed Control for CONRO Self-configurable Robots. IEEE Transaction on Robotics and Automation 18(5)
Greensted A, Tyrrell A (2004) An Endocrinologic-Inspired Hardware Implementationof a Multicellular System. In: NASA/DoD Conference on Evolvable Hardware, Seattle,USA
Kephart JO, Chess DM (2003) The Vision of Autonomic Computing. IEEE Computer Magazine 1:41-50
IBM (2003) An Architectural Blueprint for Autonomic Computing
Yagan D, Tham C-K (2005) Self-Optimizing Architecture for QoS Provisioning in Differentiated Services. In: Second International Conference on Autonomic Computing (ICAC’ 05), Seattle, WA, USA
Prehofer C, Bettstetter C (2005) Self-Organization in Communication Networks: Principles and Paradigms, IEEE Communication Magazine 43(7):78-85
Strassner J, Agoulmine N, Lehtihet E (2006) FOCALE - A Novel Autonomic Networking Architecture. In: Latin American Autonomic Computing Symposium (LAACS 2006), Brazil
Suzuki J, Suda T (2005) A Middleware Platform for a Biologically Inspired Network Architecture Supporting Autonomous and Adaptive Applications. IEEE Journal on Selected Areas in Communications 23(2)
Nakano T, Suda Y (2005) Self-organizing Network Services with Evolutionary Adaptation. IEEE Transaction on Neural Networks 16(5)
Leibnitz K, Wakamiya N, Murata M (2006) Biologically inspired Self-Adaptive Multipath routing in overlay networks. Communications of the ACM 49(3)
Dressler F (2005) Efficient and Scalable Communication in Autonomic Networking using bio-inspired mechanisms - An Overview. Informatica 29(183):183-188
Kruger B, Dressler F (2005) Molecular Processes as a Basis for Autonomic Networking. IPSI Transactions on Advanced Research: Issues in Computer Science and Engineering 1 (1):43-50
Raven P, Johnson G, Losos J, Singer S (2002) Biology, 6th edn, McGraw-Hill
Dhariwal A, Sukhatme GS, Requicha AAG (2004) Bacterium-inspired Robots for Environmental Monitoring. In: IEEE International Conference on Robotics and Autonomation, New Orleans, USA
Turing AM (1952) The Chemical basis of morphogenesis. Philosophical Transaction of the Royal Society 237:37-72
Miller MB, Bassler BL (2001) Quorum sensing in Bacteria. Annual Review in Micro-Biology 55:165-199
Balasubramaniam S, Botvich D, Donnelly W, Agoulmine N (2006) Applying Blood Glucose Homeostatic model towards Self-Management of IP QoS Provisioned Networks. In: 6th IEEE International Workshop on IP Operations and Management (IPOM 2006), LNCS, Dublin, Ireland, pp 84-95
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Foghlú, M.ó., Strassner, J. (2007). Bio-inspired Framework for Autonomic Communication Systems. In: Dressler, F., Carreras, I. (eds) Advances in Biologically Inspired Information Systems. Studies in Computational Intelligence, vol 69. Springer, Berlin, Heidelberg. https://doi.org/10.1007/978-3-540-72693-7_1
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DOI: https://doi.org/10.1007/978-3-540-72693-7_1
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