Bio-inspired Policy Based Management (bioPBM) for Autonomic Bio-inspired Policy Based Management (bioPBM) for Autonomic

The tremendous development of Internet infrastructures as well as communication technologies has led to an increase in network management complexity. Autonomic control is one way to manage complexity. Policy based management systems (PBMS) provide a consistent model for decision making using a set of abstractions (i.e., to manage the system in a manner that is independent from the complexities of low level network technologies). In this paper, we develop a hierarchical bio-inspired PBMS based on mechanisms for organism regulation that supports self-organisation and self-management at different levels of the hierarchy. We employ this mechanism towards network management of autonomic communications systems

[1]  Brendan Jennings,et al.  Policy-based architecture to enable autonomic communications - a position paper , 2006, CCNC 2006. 2006 3rd IEEE Consumer Communications and Networking Conference, 2006..

[2]  Tatsuya Suda,et al.  A middleware platform for a biologically inspired network architecture supporting autonomous and adaptive applications , 2005, IEEE Journal on Selected Areas in Communications.

[3]  John Strassner How policy empowers business-driven device management , 2002, Proceedings Third International Workshop on Policies for Distributed Systems and Networks.

[4]  Martin Fowler,et al.  Analysis patterns - reusable object models , 1996, Addison-Wesley series in object-oriented software engineering.

[5]  D. Rickwood,et al.  Cell and Molecular Biology , 1998, The Journal of Steroid Biochemistry and Molecular Biology.

[6]  Falko Dressler,et al.  Molecular Processes as a Basis for Autonomous Networking , 2004 .

[7]  Mark Burgess,et al.  Configurable immunity for evolving human-computer systems , 2004, Sci. Comput. Program..

[8]  Falko Dressler,et al.  Efficient and Scalable Communication in Autonomous Networking using Bio-inspired Mechanisms – An Overview , 2005 .

[9]  Abdur Rahim Choudhary,et al.  Policy-based network management , 2004, Bell Labs Technical Journal.

[10]  A. I.,et al.  Neural Field Continuum Limits and the Structure–Function Partitioning of Cognitive–Emotional Brain Networks , 2023, Biology.

[11]  John Strassner,et al.  Autonomic networking theory and practice , 2005, 2005 9th IFIP/IEEE International Symposium on Integrated Network Management, 2005. IM 2005..

[12]  Parag K. Lala,et al.  On biologically-inspired design of fault-tolerant digital systems , 2002, Proceedings First IEEE International Workshop on Electronic Design, Test and Applications '2002.

[13]  Stephanie Forrest,et al.  Principles of a computer immune system , 1998, NSPW '97.

[14]  Falko Dressler,et al.  Efficient and Scalable Communication in Autonomous Networking using Bio-inspired Mechanisms , 2005, Informatica.

[15]  Christian Bettstetter,et al.  Self-organization in communication networks: principles and design paradigms , 2005, IEEE Communications Magazine.