Operating system design: towards a holistic approach?
ACM SIGOPS Operating Systems Review
A knowledge-based operating system
The Computer Journal
Neural computing: theory and practice
Neural computing: theory and practice
What size net gives valid generalization?
Neural Computation
A model for intelligent task scheduling in a large distributed system
ACM SIGOPS Operating Systems Review
Neural Computation
Implementation and evaluation of alternative process schedulers in MINIX
ACM SIGOPS Operating Systems Review
Design features of high level layers in LAHNOS, a local area heterogeneous network operating system
ACM SIGOPS Operating Systems Review
Estimation of Dependences Based on Empirical Data: Springer Series in Statistics (Springer Series in Statistics)
Performance of Evolutionary Approaches for Parallel Task Scheduling under Different Representations
Proceedings of the Applications of Evolutionary Computing on EvoWorkshops 2002: EvoCOP, EvoIASP, EvoSTIM/EvoPLAN
| Hi-index | 0.00 |
LAHNOS is a Local Area Heterogeneous Operating System [1] being currently developed at the Universidad Nacional de San Luis over which distributed services are to be built. This paper shows some enhancements to be introduced into the original design in order to achieve automatic allocation of remote execution requests to the best fitted node under some chosen performance criteria.Following current trends in Distributed Systems we propose the insertion of a neural network device into the kernel of LAHNOS to reflect a selected allocation policy to provide improved system performance as long as to release the user of some cumbersome decisions.