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Istituto di Scienza e Tecnologie dell'Informazione     
Baraglia R., Dazzi P., Ferrini R. A multi-criteria class-based job scheduler for large computing farms. In: PDPTA 2012 - International Conference on Parallel and Distributed Processing Techniques and Applications (Las Vegas, USA, 16-19 July 2012). Proceedings, pp. 289 - 295. CSREA Press, 2012.
 
 
Abstract
(English)
In this paper we propose a new multi-criteria class-based job scheduler able to dynamically schedule a stream of batch jobs on large-scale computing farms. It is driven by several configuration parameters allowing the scheduler customization with respect to the goals of an installation. The proposed scheduling policies allow to maximize the resource usage and to guarantee the ap- plications QoS requirements. The proposed solution has been evaluated by simulations using different streams of synthetically generated jobs. To analyze the quality of our solution we propose a new methodology to estimate whether at a given time the resources in the system are really sufficient to meet the service level requested by the submitted jobs. Moreover, the proposed solution was also evaluated comparing it with the Backfilling and Flexible backfilling algorithms. Our scheduler demonstrated to be able to carry out good scheduling choices.
URL: http://world-comp.org/proc2012/pdpta/contents2.pdf
Subject Meta-scheduling
Computing Farm
Heuristics
D.4.1 Process Management
I.2.8 Problem Solving, Control Methods, and Search


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