Abstract
With the advent of new computing technologies, such as cloud computing and contemporary parallel processing systems, the building blocks of computing systems have become multi-dimensional. Traditional scheduling algorithms based on a single-resource optimization like processor fail to provide near optimal solutions. The efficient use of new computing systems depends on the efficient use of all resource dimensions. Thus, the scheduling algorithms have to fully use all resources. In this paper, we propose a queuing mechanism based on a multi-resource scheduling technique. For that, we model multi-resource scheduling as a multi-capacity bin-packing scheduling algorithm at the queue level to reorder the queue in order to improve the packing and as a result improve scheduling metrics. The experimental results demonstrate performance improvements in terms of waittime and slowdown metrics.
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Acknowledgement
We gratefully acknowledge Carlo Mastroianni from the Italian National Research Council, and Tapasya Patki from University of Arizona for reviewing this paper. This work was partially performed under the auspices of the Spanish National Plan for Research, Development and Innovation under Contract TIN2012-31518 (ServiceCloud).
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Sheikhalishahi, M., Wallace, R.M., Grandinetti, L., Vazquez-Poletti, J.L., Guerriero, F. (2014). A Multi-capacity Queuing Mechanism in Multi-dimensional Resource Scheduling. In: Pop, F., Potop-Butucaru, M. (eds) Adaptive Resource Management and Scheduling for Cloud Computing. ARMS-CC 2014. Lecture Notes in Computer Science(), vol 8907. Springer, Cham. https://doi.org/10.1007/978-3-319-13464-2_2
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DOI: https://doi.org/10.1007/978-3-319-13464-2_2
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