In this paper we identify the fundamental elements needed to make self-optimizing a strategy-driven classification system. The paper presents, using a formal notation, a checklist allowing classification-strategy designers to make autonomous their strategies. The proposed model is evaluated applying it to a real scenario in which a dynamic stream of elements is classified according to QoS constraints. The tests performed point out that the proposed approach can be fruitfully exploited.

A formal checklist for self-optimizing strategy-driven priority classification system

Dazzi P;
2008

Abstract

In this paper we identify the fundamental elements needed to make self-optimizing a strategy-driven classification system. The paper presents, using a formal notation, a checklist allowing classification-strategy designers to make autonomous their strategies. The proposed model is evaluated applying it to a real scenario in which a dynamic stream of elements is classified according to QoS constraints. The tests performed point out that the proposed approach can be fruitfully exploited.
2008
Istituto di Scienza e Tecnologie dell'Informazione "Alessandro Faedo" - ISTI
Autonomicity
Higher order functions
Heuristics
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Utilizza questo identificativo per citare o creare un link a questo documento: https://hdl.handle.net/20.500.14243/166704
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