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

Kento Nishii, Y. Tanigawa, H. Tode
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Abstract

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.
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
目前,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,我们主张“参与式细粒度云计算平台”,由大量个人或小公司级别的资源供应商参与、配置和提供云计算,作为云计算环境的最终演进形式。当用户在由许多供应商提供少量资源的环境中请求大规模资源时,应选择适合大规模请求的资源。因此,在本文中,我们提出了一种大规模计算的资源搜索方法,该方法选择彼此接近的资源并由每个用户使用,以支持快速计算和通信响应,并且在网络中具有低流量负载。
本文章由计算机程序翻译,如有差异,请以英文原文为准。
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