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首页> 外文期刊>Journal of grid computing >Using Broadcast Networks to Create On-demand Extremely Large Scale High-throughput Computing Infrastructures
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Using Broadcast Networks to Create On-demand Extremely Large Scale High-throughput Computing Infrastructures

机译:使用广播网络创建按需的超大规模高通量计算基础架构

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摘要

A growing number of very simple parallel applications can benefit from the availability of very large computing resource pools that are exploited in an opportunistic way to considerably speed up the processing of these applications. In particular, many applications can scale out to take advantage of the availability of thousands, or even millions, of processors that can be simultaneously used. Some large-scale distributed computing infrastructures (DCI) have already been successfully assembled to this end. However, these DCI are normally designed to cater to specific kinds of applications, and their assemblage is not only costly, but also time consuming. We propose a novel architecture, named OddCI (On-demand DCI), for the cheap, fast and on-demand instantiation and dismantle of very large DCI. These characteristics allow application users to dynamically commission DCI that can cost-effectively be customized to their particular needs, and disposed after being used. Our approach leverages on broadcast communication as an efficient mechanism to enable aggregation of geographically distributed computing resources, including millions of non-traditional processing devices such as mobile phones, and digital television (DTV) receivers. We discuss how the proposed architecture can be implemented on top of a network of DTV receivers, providing evidences of both the technical, as well as the operational feasibility of the OddCI architecture.
机译:越来越多的非常简单的并行应用程序可以从超大型计算资源池的可用性中受益,这些资源以机会主义方式加以利用,从而大大加快了这些应用程序的处理速度。特别是,许多应用程序可以扩展以利用可同时使用的数千甚至上百万处理器的可用性。为此已经成功地组装了一些大型分布式计算基础架构(DCI)。但是,这些DCI通常是为满足特定类型的应用而设计的,它们的组装不仅成本高昂,而且耗时。我们提出了一种新颖的体系结构,称为OddCI(按需DCI),用于廉价,快速和按需实例化和拆除非常大的DCI。这些特性允许应用程序用户动态调试DCI,该DCI可以经济高效地针对其特定需求进行定制,并在使用后丢弃。我们的方法利用广播通信作为一种有效的机制来实现对地理上分散的计算资源的聚合,其中包括数百万个非传统处理设备,例如移动电话和数字电视(DTV)接收器。我们讨论了如何在DTV接收器网络的顶部实现所提出的体系结构,同时提供了OddCI体系结构的技术以及操作可行性的证据。

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