WHYNET: a framework for in-situ evaluation of heterogeneous mobile wireless systems
WHYNET: a framework for in-situ evaluation of heterogeneous mobile wireless systems
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WHYNET：异构移动无线系统现场评估框架
DOI：
10.1145/1287767.1287775
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发表时间：
2007
期刊：
影响因子：
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通讯作者：
R. Bagrodia
中科院分区：
文献类型：
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作者：
Maneesh Varshney;Zhiguo Xu;S. Mohan;Yi Yang;Defeng Xu;R. Bagrodia
无线系统的设计和实现由于缺乏一个评估框架而受到阻碍，该评估框架可以在中间件和应用程序与系统硬件和软件、网络架构和配置以及无线信道效果的相互作用的背景下提供对中间件和应用程序性能的准确理解。在本文中，我们提出了一种新的评估范式，其中应用程序，中间件或子网可以在现场进行评估，换句话说，作为与操作系统和其他应用程序接口的操作软件，从而提供相当于物理部署的保真度。这些系统运行的物理环境是用高保真度模拟来建模的。这种方法将物理测试平台的保真度与可伸缩性、输入参数的可重复性和全面的参数空间评估（物理测试平台的已知局限性）相结合。框架设计是可扩展的，因为它允许用不同的模式配置系统的所需组件，以适应特定的评估标准。该实现还解决了框架子组件交互中的关键挑战：无缝接口、时间同步和保留因果关系约束。通过各种无线网络中的各种案例研究，证明了该框架对各种无线环境的好处和适用性。在一个案例研究中，我们展示了在网络度量方面表现出4倍改进的设计实际上可能会使应用程序度量降低50%。
The design and implementation of wireless systems has been impeded by the lack of an evaluation framework that can provide an accurate understanding of middleware and application performance in the context of their interactions with system hardware and software, network architecture and configuration and wireless channel effects. In this paper we present a novel evaluation paradigm wherein the applications, middleware or sub-networks can be evaluated in-situ, in other words, as operational software that interfaces with the operating system and other applications, thus offering a fidelity equivalent to physical deployment. The physical environment in which such systems operate is modeled using high-fidelity simulations. This approach combines the fidelity of physical test beds with the benefits of scalability, repeatability of input parameters, and comprehensive parameter space evaluation - the known limitations of a physical test-bed. The framework design is extensible in that it allows configuring the desired components of a system with different modalities to suit a particular evaluation criterion. The implementation also addresses the key challenges in the interaction of the framework sub-components: seamless interfaces, time synchronization and preserving causality constraints. The benefits and applicability of the framework to diverse wireless contexts is demonstrated by means of various case studies in diverse wireless networks. In one case study, we show that a design exhibiting 4X improvement in network metrics may be actually degrading the application metric by 50%.