量化和检测云环境下的HPC资源浪费

William F. C. Tavares, M. M. Assis, E. Borin
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引用次数: 2

摘要

在用户使用云计算时需要考虑的许多细节中,不浪费资源需要管理员和新用户更多地关注。当应用程序没有充分利用所提供的资源时,月末账单就会不必要地增加。一些研究已经开发了使用预测技术来避免浪费的解决方案。尽管如此,这些方法要求应用程序具有预测行为,并依赖于预执行或历史数据。为了规避这些限制,我们将探讨如何使用反应性解决方案来检测和控制浪费。更具体地说,我们讨论了在量化由云上的HPC资源浪费引起的资源浪费时出现的几个重要问题,并提出了在这种情况下量化、检测和控制资源浪费的反应策略。该解决方案的设计目的是使其可以应用于具有专家和非专家用户的环境中,而不需要事先了解应用程序。
本文章由计算机程序翻译,如有差异,请以英文原文为准。
Quantifying and detecting HPC resource wastage in cloud environments
Among many details that users need to consider when using cloud computing, the care not to waste resources requires more attention by administrators and new users. When the application does not fully utilize the provisioned resource, the end-of-the-month bill is unnecessarily increased. Several studies have developed solutions to avoid wastage using predictive techniques. Nonetheless, these approaches require applications’ to have predictive behavior and depend on pre-executions or history data. To circumvent these limitations, we explore how a reactive solution can be used to detect and contain wastage. More specifically, we discuss several important issues that arise when quantifying resource wastage caused by HPC resource wastage on the cloud and propose a reactive strategy to quantify, detect, and contain resource wastage in this context. This solution is designed so that it can be applied in environments with expert and non-expert users with no prior knowledge about the applications.
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