Abstract
Due to the rapid growth of the Internet architecture and the complexities required for network management, the need for efficient resource management is a tremendous challenge. This paper presents a biologically inspired self-management technique for IP Quality of Service (QoS) prov-isioned network using the blood glucose regulation model of the human body. The human body has the capability to maintain overall blood glucose level depending on the intensity of activity performed and at the same time produce the required energy based on the fitness capacity of the body. We have applied these biological principles to resource management, which includes (i) the ability to manage resources based on predefined demand profile as well as unexpected and fluctuating traffic, and (ii) the ability to efficiently manage multiple traffic types on various paths to ensure maximum revenue is obtained. Simulation results have also been presented to help validate our biologically inspired self-management technique.
Preview
Unable to display preview. Download preview PDF.
Similar content being viewed by others
References
Suzuki, J., Suda, T.: A Middleware Platform for a Biologically Inspired Network Architecture Supporting Autonomous and Adaptive Applications. IEEE Journal on Selected Areas in Communications 23(2) (February 2005)
Leibnitz, K., Wakamiya, N., Murata, M.: Biologically inspired Self-Adaptive Multi-path routing in overlay networks. Communications of the ACM 49(3) (March 2006)
Di Caro, G., Dorigo, M.: AntNet: Distributed stigmergetic control for communication networks. Journal of Artificial Intelligence Research 9, 317–365 (1998)
Mantar, H.A., Hwang, J., Okumus, I.T., Chapin, S.: A Scalable Intra-Domain Resource Management Scheme for Diffserv Networks. In: Proceedings of 2nd International Working Conference on Performance modeling and evaluation of heterogeneous networks, West Yorkshire, UK (July 2004)
Gojmerac, I., Ziegler, T., Ricciato, F., Reichl, P.: Adaptive Multipath Routing for Dynamic Traffic Engineering. In: IEEE Globecom, San Francisco, USA (December 2003)
Yagan, D., Tham, C.-K.: Self-Optimizing Architecture for QoS Provisioning in Differentiated Services. In: Proceedings of the Second International Conference on Autonomic Computing (ICAC 2005), Seattle, WA, USA (June 2005)
Raven, P., Johnson, G., Losos, J., Singer, S.: Biology, 6th edn. McGraw-Hill, New York (2002)
Balasubramaniam, S., Donnelly, W., Botvich, D., Agoulmine, N., Strassner, J.: Towards integrating principles of Molecular Biology for Autonomic Network Management. In: Hewlett Packard Open View University Association (HPOVUA) conference, Nice, France (accepted) (May 2006)
Author information
Authors and Affiliations
Editor information
Editors and Affiliations
Rights and permissions
Copyright information
© 2006 Springer-Verlag Berlin Heidelberg
About this paper
Cite this paper
Balasubramaniam, S., Botvich, D., Donnelly, W., Agoulmine, N. (2006). Applying Blood Glucose Homeostatic Model Towards Self-management of IP QoS Provisioned Networks. In: Parr, G., Malone, D., Ó Foghlú, M. (eds) Autonomic Principles of IP Operations and Management. IPOM 2006. Lecture Notes in Computer Science, vol 4268. Springer, Berlin, Heidelberg. https://doi.org/10.1007/11908852_8
Download citation
DOI: https://doi.org/10.1007/11908852_8
Publisher Name: Springer, Berlin, Heidelberg
Print ISBN: 978-3-540-47701-3
Online ISBN: 978-3-540-47702-0
eBook Packages: Computer ScienceComputer Science (R0)