Title
Non-Intrusive Autonomic Approach with Self-Management Policies Applied to Legacy Infrastructures for Performance Improvements
Abstract
The growing complexity of large IT facilities involves important time and effort costs to operate and maintain. Autonomic computing gives a new approach in designing distributed architectures that manage themselves in accordance with high-level objectives. The main issue is that existing architectures do not necessarily follow this new approach. The motivation is to implement a system that can interface heterogeneous components and platforms supplied by different vendors in a non-intrusive and generic manner. The goal is to increase the intelligence of the system by actively monitoring its state and autonomously taking corrective actions without the need to modify the managed system. In this paper, the authors focus on modeling software and hardware architectures as well as describing administration policies using a graphical language inspired from UML. The paper demonstrates that this language is powerful enough to describe complex scenarios and evaluates some self-management policies for performance improvement on a distributed computational jobs load balancer over a grid.
Year
DOI
Venue
2011
10.4018/jaras.2011010104
IJARAS
Keywords
DocType
Volume
new approach,managed system,graphical language,administration policy,autonomic computing,complex scenario,computational jobs load balancer,corrective action,different vendor,effort cost,Legacy Infrastructures,Non-Intrusive Autonomic Approach,Performance Improvements,Self-Management Policies
Journal
2
Issue
Citations 
PageRank 
1
4
0.50
References 
Authors
27
5
Name
Order
Citations
PageRank
Rémi Sharrock1364.51
Thierry Monteil216726.54
Patricia Stolf312517.37
Daniel Hagimont430039.21
Laurent Broto5728.47