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Green Hose-Rectangle Model Approach for Power Efficient Communication Networks

机译:电源高效通信网络的绿色软管 - 矩形模型方法

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摘要

Power efficiency of computer networks is an important issue for green computing. Currently available models such as the green pipe model minimizes the power consumption in the networks only for traffic demands which is fixed beforehand. In practice, the ongoing traffic demands can fluctuate due to different reasons, which the green pipe model cannot handle. On the contrary, some other existing models such as the green hose model can deal with traffic fluctuations, however with much lower power efficiency compared with the green pipe model. This research presents a robust green hose-rectangle (green HR) model that employs the advantages of the mentioned both kinds of models. In one hand, our proposed model improves the power efficiency, on the other hand, allows the traffic demands to fluctuate within some acceptable range. In our model, we use an uncertainty set which is the intersection of the rectangle and hose uncertainty sets to allow errors and traffic fluctuations. Our model is tractable by modern optimization software within a reasonable time although it is in the form of mixed-integer linear programming (MILP) problem. Our experiments show some promising results. The efficiency of our proposed model is improved in terms of power savings, number of deactivating links, and computation time when compared with the green hose model.
机译:计算机网络的功率效率是绿色计算的重要问题。目前,绿色管道模型等可用型号可最大限度地减少网络中的功耗,仅用于预先固定的业务需求。在实践中,由于不同的原因,正在进行的交通需求可能会波动,绿色管道模型无法处理。相反,一些其他现有模型如绿色软管模型可以处理交通波动,但与绿色管道模型相比,功率效率远得多。本研究介绍了一种强大的绿色软管 - 矩形(绿色HR)模型,采用了所述两种模型的优势。一方面,我们提出的模型另一方面提高了功率效率,允许在一些可接受的范围内波动流量。在我们的模型中,我们使用一个不确定性集,这是矩形和软管不确定性集的交集,以允许错误和流量波动。我们的模型在合理的时间内由现代优化软件进行易行,尽管它是混合整数线性编程(MILP)问题的形式。我们的实验表明了一些有希望的结果。与绿色软管模型相比,我们所提出的模型的效率在节能,停用链路数量和计算时间方面得到改善。

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