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Baraglia R., Dazzi P., Capannini G., Pagano G. A Multi-criteria job scheduling framework for large computing farms. In: CIT 2010 - 10th IEEE International Conference on Computer and Information Technology (Bradford, UK, 29 giugno - 1 luglio 2010). Proceedings, pp. 187 - 194. IEEE, 2010.
 
 
Abstract
(English)
In this paper, we propose a multi-criteria job scheduler for scheduling a continuous stream of batch jobs on largescale computing farms, called Convergent Scheduling 2.0 (CS 2.0), which is an enhancement of the scheduler described in [5]. CS 2.0 exploits a set of heuristics that drive the scheduler in taking decisions. Each heuristics manages a specific constraint, and contributes to compute the measurement of the matching degree between a job and a machine. Scheduling choices are taken both to meet the QoS requested by the submitted jobs and to optimize the exploitation of hardware and software resources. In order to validate CS 2.0, we compared it versus two common job scheduling algorithms: Easy and Flexible backfilling. CS 2.0 demonstrated to be able to compute good assignments that allow a better exploitation of resources with respect to the other algorithms.
URL: http://ieeexplore.ieee.org/xpls/abs_all.jsp?arnumber=5578454
DOI: 10.1109/CIT.2010.69
Subject Scheduling
Multi-criteria
I.2.8 Problem Solving, Control Methods, and Search
D.4.1 Process Management


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