多目标调度

P. Dutot, K. Rządca, Erik Saule, D. Trystram
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引用次数: 11

摘要

本章研究多目标调度问题,即同时优化多个目标的调度问题。优化多个目标的主要动机是现代系统日益复杂。仅用一个变量来描述具有许多用户的异构系统的性能,显示了对系统的狭隘看法。在多目标调度中,可以显式地建模、优化和找到各种性能度量之间的权衡。本文介绍了三个激励问题的多目标调度方法。在MaxAndSum中,调度程序优化makespan和完成时间总和。在EfficientReliable中,目标是找到失效处理器的最大运行时间和调度可靠性之间的权衡。最后,在TwoAgentMinSum中,必须在两个独立用户生成的作业之间公平地共享处理器。我们研究了这三个问题的复杂性,并提出了不同的方法来获得一个可接受的解决方案。在MaxAndSum中,一个算法
本文章由计算机程序翻译,如有差异,请以英文原文为准。
Multi-Objective Scheduling
This chapter considers multi-objective scheduling, i.e., schedul- ing with simultaneous optimization of several objectives. The main motivation to optimize more than one objective is the growing complexity of modern sys- tems. Characterizing by one variable only the performance of a heterogeneous system with many users shows a narrow view of the system. In multi-objective scheduling, one can explicitly model, optimize, and find trade-offs between various performance measures. We introduce multi-objective scheduling on three motivating problems to illustrate different approaches. In MaxAndSum, a scheduler optimizes both the makespan and the sum of completion times. In EfficientReliable, the goal is to find the trade-off between the makespan and the reliability of schedule on failing processors. Finally, in TwoAgentMinSum, a processor must be shared fairly between jobs produced by two independent users. We study the complexity of these three problems and propose different approaches to obtain an acceptable solution. In MaxAndSum, an algorithm
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