Name
Abstract | ||
|---|---|---|
Over the coming years, many are anticipating grid computing infrastructure, utilities and services to become an integral part of future socio- economical fabric. Though, the realisation of such a vision will be very much affected by a host of factors including; cost of access, reliability, dependability and security of grid services. In earnest, autonomic computing model of systems' self-adaptation, self-management and self-protection has attracted much interest to improving grid computing technology dependability, security whilst reducing cost of operation. A prevailing design model of autonomic computing systems is one of a goal-oriented and model-based architecture, where rules elicited from domain expert knowledge, domain analysis or data mining are embedded in software management systems to provide autonomic systems functions including; self-tuning and/or self-healing. In this paper, however, we argue for the need for unsupervised machine learning utility and associated middleware to capture knowledge sources to improve deliberative reasoning of autonomic middleware and/or grid infrastructure operation. In particular, the paper presents a machine learning middleware service using the well-known Self-Organising Maps (SOM), which is illustrated through a case- study scenario -- intelligent connected home. The SOM service is used to classify types of users and their respective networked appliances usage model (patterns). The models are accessed by our experimental self-managing infrastructure to provide Just-in-Time deployment and activation of required services in line with learnt usage models and baseline architecture of specified services assemblies. The paper concludes with an evaluation and general concluding remarks. |
Year | Venue | Keywords |
|---|---|---|
2005 | Computer Supported Activity Coordination | self-organising maps som,grid computing,autonomic computing,middleware,classification method.,domain analysis,data mining,machine learning,unsupervised machine learning,goal orientation |
DocType | Citations | PageRank |
Conference | 0 | 0.34 |
References | Authors | |
1 | 3 | |
Name | Order | Citations | PageRank |
|---|---|---|---|
| Wail M. Omar | 1 | 38 | 7.66 |
| A. Taleb-Bendiab | 2 | 383 | 48.64 |
| Yasir Karam | 3 | 13 | 2.96 |