Scheduling Remote Access to Scientific Instruments in Cyberinfrastructure for Education and Research

Jie Yin, Junwei Cao, Yuexuan Wang, Lianchen Liu, Cheng Wu
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引用次数: 6

Abstract

While a grid represents a computing infrastructure for cross domain sharing of computational resources, the cyberinfrastructure, proposed by the US NSF Blue - Ribbon advisory panel, is expected to revolutionizing science and engineering by including more computer integrated resources, e.g. telescopes and observatories. As a part of the China national cyberinfrastructure for education and research, resource sharing of expensive scientific instruments is discussed in this work. A layered model of instrument pools is introduced and the process from submitting a job to instrument pools to obtaining results is analyzed. Fuzzy random scheduling algorithms are proposed in instrument pools when a job is submitted to one of instruments within a pool. The randomness lies in the probability which instrument could be chosen for an experiment and the fuzziness origins from vagueness of users' feedback opinions on experimental results. Users' feedback information is utilized to improve overall quality of service (QoS) of an instrument cyberinfrastructure. Several algorithms are provided to increase utilization of instruments providing higher QoS and decrease utilization of those with poor QoS. This is demonstrated in details using quantitative simulation results included in this paper.
在教育和研究的网络基础设施中安排对科学仪器的远程访问
网格代表了计算资源跨域共享的计算基础设施,而由美国国家科学基金会蓝带顾问小组提出的网络基础设施,预计将通过包括更多的计算机集成资源(如望远镜和天文台)来彻底改变科学和工程。作为中国国家教育和科研网络基础设施的一部分,本工作讨论了昂贵科学仪器的资源共享。介绍了仪器池的分层模型,分析了从向仪器池提交作业到获得结果的过程。在仪器池中,当作业被提交到仪器池中的某个仪器时,提出了模糊随机调度算法。随机性是指选择实验仪器的概率,模糊性是指用户对实验结果反馈意见的模糊性。利用用户反馈信息来提高仪器网络基础设施的整体服务质量(QoS)。提供了几种算法来提高具有较高QoS的仪器的利用率,并降低具有较差QoS的仪器的利用率。本文用定量仿真结果对这一点进行了详细的论证。
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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