一个应用驱动的任务和网络仿真框架

Yuming Ye, Ziyang Li, Dongsheng Li, Yiming Zhang, Feng Liu, Yuxing Peng
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引用次数: 0

摘要

在仿真工具的帮助下,用户可以有效地评估集群环境下的新提案。然而,目前的云模拟器还不能满足应用驱动的仿真场景的需求。在本文中,我们提出了一个支持各种云应用的任务和网络模拟框架Pallas。任务感知网络调度和网络感知任务放置算法可以很容易地在Pallas中实现。我们介绍了Pallas的架构和主要组成部分,并通过比较算法改进和实际结果来评估其有效性。
本文章由计算机程序翻译,如有差异,请以英文原文为准。
Pallas: An Application-Driven Task and Network Simulation Framework
With the help of simulation tools, users can evaluate new proposals in cluster environment efficiently. However, current cloud simulators cannot meet the needs of application-driven simulation scenarios. In this paper, we propose Pallas, a task and network simulation framework that supports various cloud applications. Task-aware network scheduling and network-perceived task placement algorithms can be easily implemented in Pallas. We present the architecture and main components of Pallas and evaluate its effectiveness by comparing algorithm improvements to the actual results.
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