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arXiv · 1402.2810

Energy Efficient Scheduling of MapReduce Jobs

Evripidis Bampis·Vincent Chau·Dimitrios Letsios·Giorgio Lucarelli·Ioannis Milis·Georgios Zois
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Abstract

MapReduce is emerged as a prominent programming model for data-intensive computation. In this work, we study power-aware MapReduce scheduling in the speed scaling setting first introduced by Yao et al. [FOCS 1995]. We focus on the minimization of the total weighted completion time of a set of MapReduce jobs under a given budget of energy. Using a linear programming relaxation of our problem, we derive a polynomial time constant-factor approximation algorithm. We also propose a convex programming formulation that we combine with standard list scheduling policies, and we evaluate their performance using simulations.

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Evripidis Bampis, Vincent Chau, Dimitrios Letsios, Giorgio Lucarelli, Ioannis Milis, Georgios Zois. 2014-02-12. Energy Efficient Scheduling of MapReduce Jobs. https://arxiv.org/abs/1402.2810

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