Parallel Extension of a Dynamic Performance Forecasting Tool
Abstract
This article presents an extension of the library to handle parallel routines. is a dynamic performance forecasting tool in a metacomputing environment. Here we propose to combine estimations given by about sequential computation routines and network availability to parallel routine models coming from analysis. This association will be defined and detailed on two examples and validated experimentally.