Abstract
Autonomic computing (AC), self-management based on high level guidance from humans, is increasingly gaining momentum as the way forward in designing reliable systems that hide complexity and conquer IT management costs. Effectively, AC may be viewed as policy-based self-management. The model driven architecture (MDA) approach focuses on building models that can be transformed into code in an automatic manner. In this paper, we look at ways to implement policy-based self-management by means of models that can be converted to code using transformations that follow the MDA philosophy. We propose a set of UML-based models to specify autonomic and autonomous features along with the necessary procedures, based on modification and composition of models, to deploy a policy as an executing system
| Original language | English |
|---|---|
| Title of host publication | Proceedings of the 2nd IEEE International Symposium on Dependable, Autonomic and Secure Computing (DASC 2006) |
| Publisher | IEEE |
| Pages | 19-30 |
| DOIs | |
| Publication status | Published (in print/issue) - 29 Sept 2006 |
| Event | 2006 2nd IEEE International Symposium on Dependable, Autonomic and Secure Computing - Indianapolis, United States Duration: 29 Sept 2006 → 1 Oct 2006 Conference number: 2nd https://doi.org/10.1109/DASC11444.2006 |
Conference
| Conference | 2006 2nd IEEE International Symposium on Dependable, Autonomic and Secure Computing |
|---|---|
| Abbreviated title | DASC 2006 |
| Country/Territory | United States |
| City | Indianapolis |
| Period | 29/09/06 → 1/10/06 |
| Internet address |
UN SDGs
This output contributes to the following UN Sustainable Development Goals (SDGs)
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SDG 9 Industry, Innovation, and Infrastructure
Keywords
- Autonomic System
- Model-driven Architecture
- NASA
- Autonomic Computing
- policy-based self-management
- UML
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