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Deploying Distributed Cloud Infrastructures: Who and at What Cost?

机译:部署分布式云基础架构:谁以及付出什么代价?

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Academics and industry experts are now advocating for going from large-centralized Cloud Computing (CC) infrastructures to smaller ones massively distributed at the edge of the network. Referred to as "fog/edge/local computing", such a dawning paradigm is attracting growing interest as it improves the whole services agility in addition to bringing computing resources closer to end-users. While several initiatives investigate how such Distributed Cloud Computing (DCC) infrastructures can be operated, the economical viability of such solutions is still questionable, especially if the objective is to propose attractive prices in comparison to those proposed by giant actors such as Amazon, Microsoft and Google. In this article, we go beyond the state of the art of the current cost model of DCC infrastructures. First, we provide a classification of the different ways of deploying DCC platforms. Then, we propose a versatile cost model that can help new actors evaluate the viability of deploying a DCC solution. We illustrate the relevance of our proposal by instantiating it over three use-cases and compare them according to similar computation capabilities provided by the AWS solution. Such a study clearly shows that deploying a DCC infrastructure makes sense for telecom operators as well as new actors willing to enter the game.
机译:现在,学者和行业专家倡导从大型集中式云计算(CC)基础架构过渡到大规模分布在网络边缘的小型基础架构。被称为“雾/边缘/本地计算”的这种新兴范例吸引了越来越多的兴趣,因为它除了使计算资源更接近最终用户之外,还改善了整个服务的敏捷性。尽管有几项计划研究了如何操作此类分布式云计算(DCC)基础设施,但此类解决方案的经济可行性仍然值得怀疑,尤其是如果目标是提出与诸如亚马逊,微软和谷歌。在本文中,我们超越了DCC基础架构当前成本模型的最新水平。首先,我们对部署DCC平台的不同方式进行了分类。然后,我们提出了一种通用的成本模型,该模型可以帮助新参与者评估部署DCC解决方案的可行性。我们通过在三个用例中实例化提案并根据AWS解决方案提供的类似计算能力来比较提案的相关性。这样的研究清楚地表明,部署DCC基础设施对于电信运营商以及愿意加入游戏的新参与者都是有意义的。

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