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Performance evaluation of dynamic scheduling algorithms on a multiprocessor cluster

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2 Author(s)
Sciascio, E.D. ; Dipartimento di Elettrotecnica ed Elettronica, Politecnico di Bari, Italy ; Piscitelli, G.

Solutions currently available for task scheduling of multiprocessor systems are mainly static, i.e. they assume a prior complete knowledge of tasks and consequently make a rigid system set-up. These solutions are costly, as they require the design of a specific task allocation scheme for each application, and suffer from inflexibility. The authors simulated performance results of three modified version of the dynamic scheduling bidding algorithm, referred to a multiprocessor cluster. A discrete element dynamic model of the multiprocessor system is applied

Published in:

Electrotechnical Conference, 1996. MELECON '96., 8th Mediterranean  (Volume:2 )

Date of Conference:

13-16 May 1996