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Towards autonomic management for Cloud services based upon volunteered resources

机译:基于自愿资源实现云服务的自主管理

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Many research institutions and Universities own computational capacity that is not effectively utilized, thereby providing an opportunity for such institutions to use such capacity to offer Cloud services (to both internal and external users). However, the unreliability and unpredictability of these resources mean that their use in the context of a Service Level Agreement (SLA) is high risk, leading to a reduction in reputation as well as economic penalties in case of SLA violation. We propose a methodology that addresses the issues of unreliability and unpredictability such that Cloud software services could be hosted upon volunteered resources. To enable the harnessing of these resources we rely on autonomic fault management techniques that allow such systems to independently adapt the resources they use based upon their perception of individual resource reliability. Using our approach we were able to scale out the backend infrastructure of the Cloud service elastically (min 30 s per worker), opportunistically and autonomically. We address two key questions in this article: can a campus volunteer infrastructure be used in Cloud provisioning? What measures are necessary in order to ensure reliability at the resource level?
机译:许多研究机构和大学拥有未被有效利用的计算能力,从而为此类机构提供了利用这种能力向内部和外部用户提供云服务的机会。但是,这些资源的不可靠性和不可预测性意味着在服务水平协议(SLA)上下文中使用这些资源具有很高的风险,从而导致声誉受损以及在违反SLA的情况下造成经济损失。我们提出一种方法来解决不可靠性和不可预测性的问题,以便可以将云软件服务托管在志愿资源上。为了能够利用这些资源,我们依靠自主的故障管理技术,这些技术允许此类系统根据对单个资源可靠性的感知,独立地调整其使用的资源。使用我们的方法,我们能够灵活地,机会主义地和自主地扩展Cloud服务的后端基础架构(每位工作者最少30 s)。我们在本文中解决两个关键问题:可以在Cloud Provisioning中使用校园志愿者基础结构吗?为了确保资源级别的可靠性,需要采取哪些措施?

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