fGrid: Uncertainty variables modeling for computational grids using fuzzy logic
Bruno Moura, Yan Soares, Leticia Sampaio, Renata Reiser, Adenauer Yamin, Mauricio Lima Pilla · 2016
The necessity of making a system robust to the uncertainties of the different measures taken from the computing infrastructure is one of the Grid Computing research challenges. In particular, taking relevant information to tasks scheduling from a set of heterogeneous sources and dynamic behavior has been the focus of a significant number of studies. Considering this background, this paper aims to approach a module for task scheduling in Grid Computing, using a taken decision system under uncertainty regime. The proposed module uses the fuzzy logic, called fGrid, to treat uncertainties. Simulations were carried out using the SimGrid framework and modeling GridRS architecture. In addition to the presented results, the a standard scale use with linguistic variation makes both the manipulation of the priority list as the scheduling easier, which contributes to maintainability.