In this paper we present some deterministic and randomized algorithms for the Weight List Update Problem. In this framework a cost (weight) is associated to each item. The algorithms consist in modifying the well known Move-To-Front heuristic by adding randomness or counters in order to decide whether moving the accessed item. We prove that Random Move-To-Front and Counting Move-To-Front are 2-competitive against any static adversary, and that deterministic Move-To-Front does not share this property. We apply this approach to the management of non-modifiable trees by means of lists of successors proving that 2-competitivity property still holds.
Competitive algorithms for the weighted list update problem / D’Amore, Fabrizio; Marchetti-Spaccamela, Alberto; Nanni, Umberto. - 519:(1991), pp. 240-248. (Intervento presentato al convegno 2nd Workshop on Algorithms and Data Structures, WADS 1991 tenutosi a Ottawa; Canada) [10.1007/BFb0028266].
Competitive algorithms for the weighted list update problem
D’amore, Fabrizio
;Marchetti-Spaccamela, Alberto;Nanni, Umberto
1991
Abstract
In this paper we present some deterministic and randomized algorithms for the Weight List Update Problem. In this framework a cost (weight) is associated to each item. The algorithms consist in modifying the well known Move-To-Front heuristic by adding randomness or counters in order to decide whether moving the accessed item. We prove that Random Move-To-Front and Counting Move-To-Front are 2-competitive against any static adversary, and that deterministic Move-To-Front does not share this property. We apply this approach to the management of non-modifiable trees by means of lists of successors proving that 2-competitivity property still holds.File | Dimensione | Formato | |
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