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Managing the complex data center environment: an Integrated Energy-aware Framework

机译:管理复杂的数据中心环境:集成的能源意识框架

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The problem of Information Technology energy consumption has gained much attention due to the always increasing use of IT both for business and for personal reasons. In particular, data centers are now playing a much more important role in the modern society, where the information is available all the time and everywhere. In this context, the aim of this paper is to study energy efficiency issues within data centers from the Information System perspective. The proposed approach integrates the application and infrastructure capabilities, in which the enactment of adaptation mechanisms is aligned with the business process. Based on both energy and quality dimensions of service-based applications, a model-based approach supports the formulation of new constrained optimization problem that takes into consideration over-constrained solutions where the goal is to obtain the better trade-off between energy and quality requirements. These ideas are combined within a framework where time-based analysis allow the identification of potential system threats and drive the selection of adaptation actions improving overall energy and quality requirements, represented by indicators satisfaction. In addition, the framework includes an evolution mechanism that is able to evaluate past decisions feedback in order to adjust the model according to the current underlying environment. Finally, the benefits of the approach are analyzed in an experimental setting.
机译:信息技术能源消耗问题已引起人们的广泛关注,这是因为出于商业和个人原因,IT的使用不断增加。特别是,数据中心现在在现代社会中发挥着越来越重要的作用,在现代社会中,信息随时随地都可以获取。在这种情况下,本文的目的是从信息系统的角度研究数据中心内的能源效率问题。所提出的方法集成了应用程序和基础结构功能,其中适应机制的制定与业务流程保持一致。基于基于服务的应用程序的能源和质量维度,基于模型的方法支持制定新的约束优化问题,该问题考虑了过度约束的解决方案,其目标是在能源和质量需求之间取得更好的权衡。这些想法在一个框架中进行了组合,在该框架中,基于时间的分析可以识别潜在的系统威胁,并推动选择适应措施,从而提高总体能源和质量要求(以指标满意度表示)。此外,该框架还包括一个演化机制,该机制能够评估过去的决策反馈,以便根据当前的基础环境调整模型。最后,在实验环境中分析了该方法的好处。

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