@inproceedings{317b4cbc08ae448d891b0724f1fd0cf1,
title = "A model driven approach for self-healing computing system",
abstract = "Self-healing system attempt to enable computing systems to automatically discover, diagnose, and repair (or at least mitigate) faults without human intervention, thus it is a potential approach to improve the dependability and autonomy of computing system. A model-driven approach for modeling and analyzing the self-healing computing system is proposed in this paper. In our approach, the function part and the self-healing part of the system can be modeled respectively. Further, a consequence-oriented fault model is proposed as the ligaments to keep the associations between the function model and the self-healing model. Based on the fault model, we can construct the self-healing model and further analyze the self-healability of the computing system. The approach has the advantages of the two aspects: 1) The functional components of target system and the self-healing components for the target system can be modeled respectively and can be coupled through fault model later; 2) The self-healability of the target system can be analyzed at the model level.",
keywords = "Fault model, Model-driven, Self-healing",
author = "Lu Wei and Yian Zhu and Chunyan Ma and Longmei Zhang",
year = "2011",
doi = "10.1109/CIS.2011.49",
language = "英语",
isbn = "9780769545844",
series = "Proceedings - 2011 7th International Conference on Computational Intelligence and Security, CIS 2011",
pages = "185--189",
booktitle = "Proceedings - 2011 7th International Conference on Computational Intelligence and Security, CIS 2011",
note = "2011 7th International Conference on Computational Intelligence and Security, CIS 2011 ; Conference date: 03-12-2011 Through 04-12-2011",
}