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首页> 外文期刊>International Journal of Sensors and Sensor Networks >Running consistent, parallel experiments in vehicular environmen
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Running consistent, parallel experiments in vehicular environmen

机译:在车辆环境中进行一致的并行实验

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摘要

The dynamic nature of vehicular ad-hoc networks (VANETs) makes performance comparisons hard, because network conditions cannot be replicated. This paper introduces PepNet (Parallel Experiment Platform for VANET), a VANET testbed where multiple experimental configurations run simultaneously on identical network conditions. PepNet exploits Xen and Gentoo to provide a virtualized environment at every node. Atop the virtualized environment, multiple virtual guests, each are carrying an independent experiment, run in parallel sharing the same physical resources. The contributions of this paper are three-fold. (1) Virtual machines run various experiments simultaneously, so that each set of experiments encounters identical network conditions and thus produces consistent results. (2) Fewer physical machines are required. (3) Experiments are more consistent, easier to control, and the results are easier to interpret. To demonstrate the efficacy of PepNet, two well-known ad-hoc routing protocols, AODV and OLSR, are tested. Experiments confirm the results published in several previous studies, while the new testbed is more efficient and gives more consistent results.
机译:车辆自组织网络(VANET)的动态特性使性能比较变得困难,因为无法复制网络条件。本文介绍了PepNet(用于VANET的并行实验平台),这是一个VANET测试平台,其中多个实验配置在相同的网络条件下同时运行。 PepNet利用Xen和Gentoo在每个节点上提供虚拟化环境。在虚拟化环境的顶部,多个虚拟访客(每个虚拟访客都进行一个独立的实验)并行共享相同的物理资源。本文的贡献是三方面的。 (1)虚拟机同时运行各种实验,因此每组实验都遇到相同的网络条件,因此产生一致的结果。 (2)需要的物理机器更少。 (3)实验更加一致,更易于控制,结果更易于解释。为了证明PepNet的功效,测试了两个著名的即席路由协议AODV和OLSR。实验证实了先前几项研究中发表的结果,而新的测试床效率更高,并且给出了更一致的结果。

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