GPaaScaler:面向交互式云应用的绿色能源感知平台缩放器

Md. Sabbir Hasan, Frederico Alvares, T. Ledoux
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引用次数: 3

摘要

最近,可再生能源的智能使用已经成为云社区的一个热门话题。在这种情况下,我们最近建议围绕交互式云应用程序创建绿色能源意识,但在底层资源的静态数量上。本文在之前的基础设施的基础上增加了弹性基础设施,也就是说,我们提出了一个PaaS解决方案,该解决方案有效地利用了基础设施和应用程序级别的弹性特性,通过利用面对变化条件的适应性,例如工作负载突发、性能下降、能源质量等。当应用程序根据性能和/或绿色能源可用性动态地重新配置其服务级别时,基础设施负责根据应用程序的资源需求添加/删除资源。这两种自适应行为都在独立的模块中实现,并以顺序的方式进行协调。我们通过大量的实验和在Grid’5000测试台上获得的结果验证了我们的方法。结果表明,当考虑绿色能源意识适应时,与基线方法相比,应用该方法可以减少35%的大量棕色能源消耗和37%的每日实例小时成本。
本文章由计算机程序翻译,如有差异,请以英文原文为准。
GPaaScaler: Green Energy Aware Platform Scaler for Interactive Cloud Application
Recently, smart usage of renewable energy has been a hot topic in the Cloud community. In this vein, we have recently proposed the creation of green energy awareness around Interactive Cloud Applications, but in static amount of underlying resources. This paper adds to previous ones as it considers elastic underlying infrastructure, that is, we propose a PaaS solution which efficiently utilize the elasticity nature at both infrastructure and application levels, by leveraging adaptation in facing to changing condition i.e., workload burst, performance degradation, quality of energy, etc. While applications are adapted by dynamically re-configuring their service level based on performance and/or green energy availability, the infrastructure takes care of addition/removal of resources based on application's resource demand. Both adaptive behaviors are implemented in separated modules and are coordinated in a sequential manner.We validate our approach by extensive experiments and results obtained over Grid'5000 test bed. Results show that, application can reduce significant amount of brown energy consumption by 35% and daily instance hour cost by 37% compared to a baseline approach when green energy aware adaptation is considered.
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