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A Multi-agent Based Context Aware Self-healing System.

Authors :
Gallagher, Marcus
Hogan, James
Maire, Frederic
Jeongmin Park
Hyunsang Youn
Eunseok Lee
Source :
Intelligent Data Engineering & Automated Learning - IDEAL 2005; 2005, p515-523, 9p
Publication Year :
2005

Abstract

There is increasing demand for the self-diagnosis and self-healing of problems or errors arising in systems operating in the ubiquitous computing environment. In this paper, we propose a self-healing system that monitors, diagnoses and heals its own problems. The proposed system consists of multi agents that analyze the log context in order to perform self-diagnosis and self-healing. To minimize the resources used by the Adapters in an existing system, we place a single process in memory. By this, we mean that a single Monitoring Agent monitors the context of the logs that are generated by the different components of the system. For rapid and efficient self-healing, we use a 6-step process. The effectiveness of the proposed system is confirmed through experiments conducted with a prototype system. [ABSTRACT FROM AUTHOR]

Details

Language :
English
ISBNs :
9783540269724
Database :
Supplemental Index
Journal :
Intelligent Data Engineering & Automated Learning - IDEAL 2005
Publication Type :
Book
Accession number :
32904237
Full Text :
https://doi.org/10.1007/11508069_67