Transparent remote execution in Lahnos by means of a neural network device

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.