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首页> 外文会议>IEEE International Symposium on Computer Architecture and High Performance Computing >Energy Aware Dynamic Provisioning for Heterogeneous Data Centers
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Energy Aware Dynamic Provisioning for Heterogeneous Data Centers

机译：异构数据中心的能源感知动态配置

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The huge amount of energy consumed by data centers represents a limiting factor in their operation. Many of these infrastructures are over-provisioned, thus a significant portion of this energy is consumed by inactive servers staying powered on even if the load is low. Although servers have become more energy-efficient over time, their idle power consumption remains still high. To tackle this issue, we consider a data center with an heterogeneous infrastructure composed of different machine types - from low power processors to classical powerful servers - in order to enhance its energy proportionality. We develop a dynamic provisioning algorithm which takes into account the various characteristics of the architectures composing the infrastructure: their performance, energy consumption and on/off reactivity. Based on future load information, it makes intelligent decisions of resource reconfiguration that impact the infrastructure at multiple terms. Our algorithm is reactive to load evolutions and is able to respect a perfect Quality of Service (QoS) while being energy-efficient. We evaluate our original approach with profiling data from real hardware and the experiments show that our dynamic provisioning brings significant energy savings compared to classical data centers operation.
机译：数据中心消耗的大量能源是其运行的限制因素。这些基础结构中有许多是超额配置的，因此，即使负载很低，闲置的服务器仍会消耗大量能量。尽管服务器随着时间的推移变得越来越节能，但是它们的空闲功耗仍然很高。为了解决此问题，我们考虑一个数据中心，该中心具有由不同机器类型组成的异构基础结构，从低功率处理器到经典功能强大的服务器，以提高其能源比例。我们开发了一种动态配置算法，该算法考虑了组成基础结构的体系结构的各种特征：它们的性能，能耗和开/关反应性。基于未来的负载信息，它可以智能地做出资源重新配置的决策，从而对基础架构产生多方面的影响。我们的算法对负载的变化无能为力，并且在提高能源效率的同时能够尊重完美的服务质量（QoS）。我们使用来自真实硬件的配置文件评估了我们的原始方法，并且实验表明，与传统的数据中心运营相比，我们的动态配置可节省大量能源。

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