Measuring and understanding user comfort with resource borrowing

Measuring and understanding user comfort with resource borrowing
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衡量和了解用户对资源借用的舒适度

DOI:
10.1109/hpdc.2004.21
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发表时间:
2004
期刊:
Proceedings. 13th IEEE International Symposium on High performance Distributed Computing, 2004.
影响因子:
--
通讯作者:
P. Dinda
P. Dinda
中科院分区:
--
文献类型:
--
作者:
A. Gupta;Bin Lin;P. Dinda

文献摘要

被引文献

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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,外部流程借用了原本要交付给最终用户的交互流程的资源,造成了争用,从而减慢了这些流程的速度,降低了最终用户的舒适度。资源借用和用户舒适度之间的关系尚不清楚,因此资源借用往往非常保守。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,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,我们已经进行了一个控制用户的研究与定性和定量的结果,直接感兴趣的网格和瘦客户端系统的设计者。我们发现,资源借用可以是相当积极的,而不会引起用户的不适,特别是在内存和磁盘的情况下。我们还描述了一个正在进行的互联网范围内的研究,使用我们的工具。
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.