ICALEPCS2013 - List of Authors (Almeida, M.M.)

Paper	Title	Page
THPPC077	A Fuzzy-Oriented Solution for Automatic Distribution of Limited Resources According to Priority Lists	1246
	M. Pezzetti, V. Inglese, A. Tovar CERN, Geneva, Switzerland M.M. Almeida UFMG, Belo Horizonte, Brazil H. Coppier ESIEE, Amiens, France
	This paper proposes a solution for resources allocation when limited resources supply several clients in parallel. The lack of a suitable limitation mechanism in the supply system can lead to the depletion of the resources if the total demand exceeds the availability. To avoid this situation, an algorithm for priority handling which relies on the Fuzzy Systems Theory is used. The Fuzzy approach, as a problem-solving technique, is robust with respect to model and parameter uncertainties and is well-adapted to systems whose mathematical formulation is difficult or impossible to obtain. The aim of the algorithm is to grant a fair allocation if the resources availability is sufficient for all the clients, or, in case of excess of demand, on the basis of priority lists, to assure enough resources only to the high priority clients in order to allow the completion of the high priority tasks. Besides the general algorithm, this paper describes the Fuzzy approach applied to a cryogenic test facility at CERN. Simulation tools are employed to validate the proposed algorithm and to characterize its performance.

Paper

Title

Page

A Fuzzy-Oriented Solution for Automatic Distribution of Limited Resources According to Priority Lists

1246

M. Pezzetti, V. Inglese, A. Tovar
CERN, Geneva, Switzerland
M.M. Almeida
UFMG, Belo Horizonte, Brazil
H. Coppier
ESIEE, Amiens, France

This paper proposes a solution for resources allocation when limited resources supply several clients in parallel. The lack of a suitable limitation mechanism in the supply system can lead to the depletion of the resources if the total demand exceeds the availability. To avoid this situation, an algorithm for priority handling which relies on the Fuzzy Systems Theory is used. The Fuzzy approach, as a problem-solving technique, is robust with respect to model and parameter uncertainties and is well-adapted to systems whose mathematical formulation is difficult or impossible to obtain. The aim of the algorithm is to grant a fair allocation if the resources availability is sufficient for all the clients, or, in case of excess of demand, on the basis of priority lists, to assure enough resources only to the high priority clients in order to allow the completion of the high priority tasks. Besides the general algorithm, this paper describes the Fuzzy approach applied to a cryogenic test facility at CERN. Simulation tools are employed to validate the proposed algorithm and to characterize its performance.