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Decentralizing the cloud: How can small data centers cooperate?

机译:分散云:小型数据中心如何合作?

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Cloud computing has become pervasive due to attractive features such as on-demand resource provisioning and elasticity. Most cloud providers are centralized entities that employ massive data centers. However, in recent times, due to increasing concerns about privacy and data control, many small data centers (SDCs) established by different providers are emerging in an attempt to meet demand locally. However, SDCs can suffer from resource in-elasticity due to their relatively scarce resources, resulting in a loss of performance and revenue. In this paper we propose a decentralized cloud model in which a group of SDCs can cooperate with each other to improve performance. Moreover, we design a general strategy function for the SDCs to evaluate the performance of cooperation based on different dimensions of resource sharing. Through extensive simulations using a realistic data center model, we show that the strategies based on reciprocity are more effective than other involved strategies, e.g., those using prediction on historical data. Our results show that the reciprocity-based strategy can thrive in a heterogeneous environment with competing strategies.
机译:由于按需资源配置和弹性等吸引人的功能,云计算已变得无处不在。大多数云提供商都是使用海量数据中心的集中式实体。但是,近来,由于对隐私和数据控制的日益关注,由不同提供商所建立的许多小型数据中心(SDC)不断涌现,试图满足本地需求。但是,由于SDC相对稀缺的资源,它们可能会遭受资源弹性不足的影响,从而导致性能和收入下降。在本文中,我们提出了一个分散的云模型,其中一组SDC可以相互协作以提高性能。此外,我们为SDC设计了通用策略功能,以基于资源共享的不同维度来评估合作绩效。通过使用现实的数据中心模型进行的广泛模拟,我们表明基于互惠的策略比其他涉及的策略(例如使用对历史数据进行预测的策略)更有效。我们的结果表明,基于互惠的策略可以在具有竞争策略的异构环境中蓬勃发展。

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