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Conference Papers Year : 2014

Multi-Objective Scheduling for Heterogeneous Server Systems with Machine Placement

Abstract

Heterogeneous servers are becoming prevalent in many high-performance computing environments, including clusters and data enters. In this paper, we consider multi-objective scheduling for heterogeneous server systems to optimize simultaneously the application performance, energy consumption and thermal imbalance. First, a greedy online framework is presented to allow the scheduling decisions to be made based on any well-defined cost function. To tackle the possibly conflicting objectives, we propose a fuzzy-based priority approach for exploring the tradeoffs of two or more objectives at the same time. Moreover, we present a heuristic algorithm for the static placement of physical machines in order to reduce the maximum temperature at the server outlets. Extensive simulations based on an emerging class of high-density server system have demonstrated the effectiveness of our proposed approach and heuristics in optimizing multiple objectives while achieving better thermal balance.
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Dates and versions

hal-03666046 , version 1 (12-05-2022)

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Hongyang Sun, Patricia Stolf, Jean-Marc Pierson, Georges da Costa. Multi-Objective Scheduling for Heterogeneous Server Systems with Machine Placement. IEEE International Symposium on Cluster Computing and the Grid (CCGrid 2014), May 2014, Chicago, United States. pp.334-343, ⟨10.1109/CCGrid.2014.53⟩. ⟨hal-03666046⟩
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