云和VM平台上保守和乐观离散事件执行的实证评价

Srikanth B. Yoginath, K. Perumalla
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引用次数: 9

摘要

虚拟机(VM)技术,特别是那些通过云平台提供的技术,在执行并行离散事件模拟(PDES)应用程序时,在性能和成本方面呈现出新的维度。由于引入了总成本作为度量标准,选择最高端的计算配置不再是最经济的选择。此外,VM平台特有的运行时动态引入了新的性能特征,并且各种可能的VM配置为托管PDES运行提供了一系列选择。本文对这些问题进行了实证研究,以指导对在VM/Cloud平台上执行PDES的动态、趋势和权衡的理解。性能结果和成本度量是通过在Amazon Cloud产品和高端VM主机上的两个PDES基准应用程序中的一系列场景的实际执行获得的。这些数据揭示了对新VM-PDES动态的有趣见解,并且在考虑总体执行成本时,还得出了关于选择最佳和次优配置的反直觉指导方针。特别是,我们发现选择最高端的VM配置既不能保证最佳运行时,也不能保证成本最低。有趣的是,选择(适当缩放的)低端VM配置可以提供最低的总成本,而不会对总运行时产生不利影响。
本文章由计算机程序翻译,如有差异,请以英文原文为准。
Empirical evaluation of conservative and optimistic discrete event execution on cloud and VM platforms
Virtual machine (VM) technologies, especially those offered via Cloud platforms, present new dimensions with respect to performance and cost in executing parallel discrete event simulation (PDES) applications. Due to the introduction of overall cost as a metric, the choice of the highest-end computing configuration is no longer the most economical one. Moreover, runtime dynamics unique to VM platforms introduce new performance characteristics, and the variety of possible VM configurations give rise to a range of choices for hosting a PDES run. Here, an empirical study of these issues is undertaken to guide an understanding of the dynamics, trends and trade-offs in executing PDES on VM/Cloud platforms. Performance results and cost measures are obtained from actual execution of a range of scenarios in two PDES benchmark applications on the Amazon Cloud offerings and on a high-end VM host machine. The data reveals interesting insights into the new VM-PDES dynamics that come into play and also leads to counter-intuitive guidelines with respect to choosing the best and second-best configurations when overall cost of execution is considered. In particular, it is found that choosing the highest-end VM configuration guarantees neither the best runtime nor the least cost. Interestingly, choosing a (suitably scaled) low-end VM configuration provides the least overall cost without adversely affecting the total runtime.
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