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A Search Method of Large-Scale Resources for Providing Efficient Computing on a Participating Fine-Granular Cloud Computing Platform

机译:在参与式细粒度云计算平台上提供高效计算的大规模资源搜索方法

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Currently, most of cloud computing services based on IaaS are provided by one specific provider for many users. In contrast, we have advocated a “participating fine-granular cloud computing platform” that a large number of personal or small company level resource suppliers participates in, configures and provides cloud computing, as an ultimately evolved form of cloud computing environment. When large-scale resources are requested by users in environments where small amount of resources are provided by many suppliers, appropriate resources for a large-scale request should be selected. Therefore, in this paper, we propose a resource search method for large-scale computing, in which resources that are close to each other are selected and used by each user to support quick computation and communication response, and low traffic load in the network.
机译:当前,大多数基于IaaS的云计算服务都是由一个特定的提供商为许多用户提供的。相反,我们提倡一个“参与式的细粒度云计算平台”,该平台是众多个人或小型公司级资源供应商参与,配置和提供云计算的一种最终形式的云计算环境。当用户在许多供应商提供少量资源的环境中请求大规模资源时,应为大规模请求选择适当的资源。因此,在本文中,我们提出了一种用于大规模计算的资源搜索方法,其中,每个用户选择并使用彼此接近的资源以支持快速计算和通信响应,以及网络中的低流量负载。

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