Skip to main content

Research Repository

Advanced Search

Immunological inspiration for building a new generation of autonomic systems.

Hart, Emma; Davoudani, Despina; McEwan, Chris

Authors

Despina Davoudani

Chris McEwan



Abstract

Autonomic computing systems of the future will be required to exhibit a number of properties which cannot be engineered using current technologies and algorithms. The most direct inspiration for building such systems is nature, where for example the central nervous system and the immune system function in an autonomic manner. In this paper we show how mechanisms inspired by recent advances in the field of immunology may offer exactly the inspiration required for engineering this new generation of computational systems which are robust, secure, self-organise and self-heal in manner currently unachievable with established software engineering techniques. Immune-inspired mechanisms are often synonomous with providing security in computing applications --- however we intend to show that a wider examination of the immune literature offers far greater potential for exploitation of immune-mechanisms and paradigms than simply providing protection to a host. We conclude with a number of case studies, describing work currently in progress, which demonstrate two very different application areas in which the mechanisms described are being applied to illustrate our point

Citation

Hart, E., Davoudani, D., & McEwan, C. (2007, October). Immunological inspiration for building a new generation of autonomic systems

Presentation Conference Type Conference Paper (published)
Start Date Oct 28, 2007
End Date Oct 30, 2007
Publication Date 2007
Deposit Date Mar 15, 2010
Publicly Available Date Mar 15, 2010
Publisher Association for Computing Machinery (ACM)
Peer Reviewed Peer Reviewed
Book Title Autonomics '07 Proceedings of the 1st international conference on Autonomic computing and communication systems
ISBN 978-963-9799-09-7
Keywords Specknet; autonomic computing systems; software engineering; immune mechanisms;
Public URL http://researchrepository.napier.ac.uk/id/eprint/3437
Contract Date Mar 15, 2010

Files








You might also like



Downloadable Citations