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Investigating Autonomic Behaviours in Grid-Based Computational Science Applications

机译:在基于网格的计算科学应用中研究自主行为

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Emerging Grid infrastructures present unprecedented opportunities for computational science and engineering, with the potential for fundamental insights into complex phenomenon. However, it also presents unprecedented challenges in terms of its scale, heterogeneity, dynamism and overall complexity that must be addressed before this potential can be realized. Autonomic computing concepts have been effectively used to address similar challenges in enterprise systems and applications; in this paper, we explore the role of autonomic computing to Grid-based computational science applications. Specifically, we use three representative computational applications to motivate Autonomic Computational Science (ACS). Using these applications, we develop a conceptual framework for ACS, consisting of mechanisms, strategies and objectives, and demonstrate how these concepts can be used to express autonomic behaviors. Finally we explore a research agenda towards realizing ACS behaviors and developing self-* patterns for large scale autonomic computational science application.
机译:新兴的网格基础设施为计算科学和工程学提供了前所未有的机会,并具有对复杂现象进行基本洞察的潜力。但是,它在规模,异质性,动态性和整体复杂性方面也面临着前所未有的挑战,必须在实现这一潜力之前加以解决。自主计算概念已被有效地用于解决企业系统和应用程序中的类似挑战。在本文中,我们探讨了自主计算在基于网格的计算科学应用中的作用。具体来说,我们使用三个代表性的计算应用程序来激发自主计算科学(ACS)。使用这些应用程序,我们为ACS开发了一个概念框架,该框架由机制,策略和目标组成,并演示了如何使用这些概念来表达自主行为。最后,我们探索了实现ACS行为并为大规模自主计算科学应用开发self- *模式的研究议程。

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