On Multi-threaded Metrical Task Systems

• Autores: Feuerstein, E.; Seiden, S.S.; Strejilevich de Loma, A.
• Año de publicación: 2006
• Idioma: inglés
• Tipo de recurso: artículo
• Fuente: J. Discrete Algorithms 2006;4(3):401-413
• Materia: Competitive analysis; Multi-tasking systems; On-line algorithms; Paging; Algorithms; Computation theory; Information analysis; Online systems; Problem solving; Random processes; Competitive analysis; Multi-tasking systems; Multi-threaded Metrical Task Systems; On-line algorithms; Multiprocessing systems
• Institución: Universidad Nacional de Buenos Aires. Facultad de Ciencias Exactas y Naturales

Traditionally, on-line problems have been studied under the assumption that there is a unique sequence of requests that must be served. This approach is common to most general models of on-line computation, such as Metrical Task Systems. However, there exist on-line problems in which the requests are organized in more than one independent thread. In this more general framework, at every moment the first unserved request of each thread is available. Therefore, apart from deciding how to serve a request, at each stage it is necessary to decide which request to serve among several possibilities. In this paper we introduce Multi-threaded Metrical Task Systems, that is, the generalization of Metrical Task Systems to the case in which there are many threads of tasks. We study the problem from a competitive analysis point of view, proving lower and upper bounds on the competitiveness of on-line algorithms. We consider finite and infinite sequences of tasks, as well as deterministic and randomized algorithms. In this work we present the first steps towards a more general framework for on-line problems which is not restricted to a sequential flow of information. © 2006 Elsevier B.V. All rights reserved.
Fil:Strejilevich de Loma, A. Universidad de Buenos Aires. Facultad de Ciencias Exactas y Naturales; Argentina.