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Greening the cloud using renewable-energy-aware service migration

机译:使用可再生能源意识的服务迁移来绿化云

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摘要

Cloud computing is the new paradigm of operation in information technology. While cloud computing infrastructures have benefits, their energy consumption is becoming a growing concern. Data centers, which are used to provide the infrastructure and resource pool for cloud computing, consume a large amount of energy. Future energy consumption predictions of these data centers are even bigger concerns. To reduce this energy consumption, and hence the carbon footprint and greenhouse gas emission of cloud computing, and information technology in general, energy-efficient methods of operation have to be investigated and adopted. In addition, renewable energy usage in place of non-renewable can also reduce carbon emission. However, due to its intermittency and volatility, renewable energy cannot be used to its full potential. In this study, we introduce the renewable-energy- aware cloud service and virtual machine migration to relocate energy demand using dynamic and flexible cloud resource allocation techniques, and help overcome the challenges of renewable energy. Results from a U.S.-wide cloud network infrastructure show that, using simple migration techniques, up to 30 percent nonrenewable energy can be replaced by renewable energy, while consuming only a small amount of extra resources and energy to perform demand relocation.
机译:云计算是信息技术中操作的新范例。尽管云计算基础架构可以带来好处,但其能源消耗正日益引起人们的关注。用来为云计算提供基础架构和资源池的数据中心消耗大量能源。这些数据中心的未来能耗预测更加令人担忧。为了减少这种能源消耗,从而减少云计算以及一般信息技术的碳足迹和温室气体排放,通常必须研究和采用节能的操作方法。此外,使用可再生能源代替不可再生能源还可以减少碳排放。但是,由于其间断性和易变性,可再生能源无法充分利用其潜力。在本研究中,我们介绍了可感知可再生能源的云服务和虚拟机迁移,以使用动态灵活的云资源分配技术重新定位能源需求,并帮助克服可再生能源的挑战。美国范围内的云网络基础架构的结果表明,使用简单的迁移技术,最多可将30%的不可再生能源替换为可再生能源,同时仅消耗少量的额外资源和能源来执行需求重定位。

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