Self-management System Based on Self-healing Mechanism
Systems designed to be self-healing are able to heal themselves at runtime in response to changing environmental or operational circumstances. Thus, the goal is to avoid catastrophic failure through prompt execution of remedial actions. This paper proposes a self-healing mechanism that monitors, diagnoses and heals its own internal problems using self-awareness as contextual information. The self-management system that encapsulates the self-healing mechanism related to reliability improvement addresses: (1) Monitoring layer, (2) Diagnosis & Decision Layer, and (3) Adaptation Layer, in order to perform self-diagnosis and self-healing. To confirm the effectiveness of self-healing mechanism, practical experiments are conducted with a prototype system.
KeywordsAdaptation Policy Rule Model Autonomic Computing Decision Agent Monitoring Agent
Unable to display preview. Download preview PDF.
- 2.IBM: Autonomic Computing: IBM’s Perspective on the State of Information Technology, http://www.ibm.com/industries/government/doc/content/resource/thought/278606109.html
- 3.Kephart, J.O., Chess, D.M.: IBM Thomas J. Watson Research Center: The Vision of Autonomic Computing. IEEE Computer Society (January 2003) Google Scholar
- 5.Garlan, D., Schmerl, B.: Model-based Adaptation for Self-Healing Systems. In: Proceedings of the First ACM SIGSOFT Workshop on Self-Healing Systems (WOSS), South Carolina, pp. 27–32 (November 2002) Google Scholar
- 6.Abowd, G.D., Allen, R., Garlan, D.: Formalizing style to understand descriptions of software architecture. ACM Transactions on Software Engineering and Methodology 4(4), 319–364 (1995) Google Scholar
- 7.Batory, D., O’Malley, S.: The Design and Implementation of Hierarchical Software Systems with Reusable Components. ACM Transactions on Software Engineering and Methodology 1(4), 355–398 (1992) Google Scholar
- 8.Bernardo, M., Ciancarni, P., Donatiello, L.: On the formalization of architectural types with process algebras. In: Proceedings of the 8th International Symposium on Foundations of Software Engineering, pp. 140–148 (November 2000) Google Scholar
- 9.Topol, B., Ogle, D., Pierson, D., Thoensen, J., Sweitzer, J., Chow, M., Hoffmann, M.A., Durham, P., Telford, R., Sheth, S., Studwell, T.: Automating problem determination: A first step toward self-healing computing system. IBM white paper (October 2003) Google Scholar
- 10.Baekelmans, J., Brittenham, P., Deckers, T., DeLaet, C., Merenda, E., Miller, B., Ogle, D., Rajaraman, B., Sinclair, K., Sweitzer, J.: Adaptive Services Framework CISCO white paper (October 2003) Google Scholar
- 11.Hillman, J., Warren, I.: Meta-adaptation in Autonomic systems. In: Proceedings of the 10th International Workshop on Future Trends in Distributed Computer Systems (FTDCS), Sozhou, China, May 26-28 (2004) Google Scholar
- 13.Bellifemine, F., Caire, G., Trucco, T.: (TILAB, formerly CSELT) Giovanni Rimassa (University of Parma). Jade Programmer’s Guide Google Scholar
- 14.Parnas, D.: Designing Software for Extension and Contraction. In: 3rd International Conference on Software Engineering, pp. 264–277 (1978)Google Scholar
- 16.Wang, Q.: Towards a Rule Model for Self-adaptive Software. ACM SIGSOFT Software Engineering Notes Page 30(1), 1–5 (2005)Google Scholar