Abstract
A crucial challenge for future computing environments is the development and management complexity caused by an increase in mobility and heterogeneity of networked devices. Autonomous, service-oriented computing environments promise to significantly reduce the management overhead and the need for human intervention. Making services autonomous, requires a shift in the design of service life-cycles, away from static, partially human-controlled mechanisms towards self-control principles. In this work, a biologically inspired service life-cycle is proposed. This life-cycle utilizes evolutionary principles for the adaptation and evaluation of services in highly dynamic computing environments. Additionally, approaches for the autonomous service creation are integrated to the bio-inspired service life-cycle in order to rapidly address users’ needs on demand, but also to come up with completely new services.
This is a preview of subscription content, log in via an institution to check access.
Access this chapter
Tax calculation will be finalised at checkout
Purchases are for personal use only
Preview
Unable to display preview. Download preview PDF.
References
Booth, D., Haas, H., McCabe, F., Newcomer, E., Champion, M., Ferris, C., Orchard, D.: Web Services Architecture (2004), Available: http://www.w3.org/TR/ws-arch/
Roman, D., Keller, U., Lausen, H., Bruijn, J.d., Lara, R., Stollberg, M., Polleres, A., Feier, C., Bussler, C., Fensel, D.: The Web Service Modelling Ontology, pp. 77–106. IOS Press, Amsterdam (2005)
Battle, S., Bernstein, A., Boley, H., Grosof, B., Gruninger, M., Hull, R., Kifer, M., Martin, D., McIlraith, S., McGuinness, D., Su, J., Tabet, S.: Semantic Web Services Ontology (2005), Available: http://www.daml.org/services/swsf/1.0/swso/
The OWL Services Coalition: OWL-S: Semantic Markup for Web Services (2004), Available: http://www.daml.org/services/owl-s/1.1/
Lo, J.-C., Yang, C.-H.: A heuristic error-feedback learning algorithm for fuzzy modelling, IEEE Transactions on Systems, Man, and Cybernetics, Part A: Systems and Humans, 686–691 (1999)
Reifman, J., Feldman, E.: Multilayer perceptron for nonlinear programming. Computers and Operations Research archive, 1237–1250 (2002)
Koza, J.R.: Survey of genetic algorithms and genetic programming. In: Proceedings of the Wescon 95 - Conference Record: Microelectronics, Communications Technology, Producing Quality Products, Mobile and Portable Power, Emerging Technologies, 7–9 (1995)
Piszcz, A., Soule, T.: A survey of mutation techniques in genetic programming. In: Proceedings of the 8th annual conference on Genetic and evolutionary computation, pp. 951–952 (2006)
Yamamoto, L., Tschudin, C.: Genetic Evolution of Protocol Implementations and Configurations. In: Proc. IFIP/IEEE International Workshop on Self-Managed Systems & Services (2005)
Miorandi, D., Yamamoto, L., Dini, P.: Service Evolution in Bio-Inspired Communication Systems. In: Proceedings of the International Conference on Self-Organization and Autonomous Systems in Computing and Communications (2006)
Kicinger, R., Arciszewski, T., Jong, K.: Evolutionary computation and structural design: A survey of the state-of-the-art. Computers & Structures 1943–1978 (2005)
Author information
Authors and Affiliations
Editor information
Rights and permissions
Copyright information
© 2007 Springer-Verlag Berlin Heidelberg
About this paper
Cite this paper
Linner, D., Pfeffer, H., Radusch, I., Steglich, S. (2007). Biology as Inspiration Towards a Novel Service Life-Cycle. In: Xiao, B., Yang, L.T., Ma, J., Muller-Schloer, C., Hua, Y. (eds) Autonomic and Trusted Computing. ATC 2007. Lecture Notes in Computer Science, vol 4610. Springer, Berlin, Heidelberg. https://doi.org/10.1007/978-3-540-73547-2_12
Download citation
DOI: https://doi.org/10.1007/978-3-540-73547-2_12
Publisher Name: Springer, Berlin, Heidelberg
Print ISBN: 978-3-540-73546-5
Online ISBN: 978-3-540-73547-2
eBook Packages: Computer ScienceComputer Science (R0)