测量和理解用户对资源借用的舒适度

A. Gupta, Bin Lin, P. Dinda
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引用次数: 68

摘要

资源借用是网格计算和瘦客户机计算中常见的底层方法。在这两种情况下,外部流程都会借用原本会交付给最终用户交互流程的资源,从而产生争用,从而减慢这些流程的速度,降低最终用户的舒适度。资源借用与用户舒适度之间的关系尚不清楚,因此资源借用倾向于极端保守。为了解决这种缺乏理解的问题,我们开发了一个复杂的分布式应用程序,用于通过借用CPU时间、内存空间和磁盘带宽来直接测量用户的舒适度。使用这个工具,我们进行了一项受控的用户研究,其定性和定量结果与网格和瘦客户机系统的设计者直接相关。我们发现,资源借用可以相当积极,而不会造成用户不适,特别是在内存和磁盘的情况下。我们还描述了使用我们的工具正在进行的互联网范围的研究。
本文章由计算机程序翻译,如有差异,请以英文原文为准。
Measuring and understanding user comfort with resource borrowing
Resource borrowing is a common underlying approach in grid computing and thin-client computing. In both cases, external processes borrow resources that would otherwise be delivered to the interactive processes of end-users, creating contention that slows these processes and decreases the comfort of the end-users. How resource borrowing and user comfort are related is not well understood and thus resource borrowing tends to be extremely conservative. To address this lack of understanding, we have developed a sophisticated distributed application for directly measuring user comfort with the borrowing of CPU time, memory space, and disk bandwidth. Using this tool, we have conducted a controlled user study with qualitative and quantitative results that are of direct interest to the designers of grid and thin-client systems. We have found that resource borrowing can be quite aggressive without creating user discomfort, particularly in the case of memory and disk. We also describe an on-going Internet-wide study using our tool.
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