Development of an Interdisciplinary Arkansas Emulation Laboratory

该项目旨在促进复杂软件应用程序的开发和执行(例如有线和无线医疗网络的无缝、容错集成)，建议在阿肯色大学小石城分校开发阿肯色州智能协调实体仿真实验室。新的大规模应用领域的出现与新的分布式计算场景相结合，如自组织、移动、对等和普适计算技术，促使对支持复杂软件应用的新方法的需求。在关键情况下，应用程序中的嵌入式硬件和软件元素是资源受限和功率受限的设备。这些分布式元素的有效协调通常是与上下文相关的，并且通常与它们所在的环境严格相关。然而，动态变化的组结构和环境需要一个可配置的、灵活的、可扩展的、易于使用的计算环境，该环境支持自由范围聚集的组成和动态。该实验室允许快速设置实验，只需最少的努力即可扩展，并可在不同参数下重复进行。Emulab提供了更改参数和网络方案的灵活性，允许重复性。该基础设施支持包括与健康有关的项目的研究活动，使共同的以网络为中心的研究培训和产业合作成为可能。该项目致力于解决以下问题：-传感器网络的智能通信和协调；-可植入天线，-先进的生物电磁建模和仿真以及应用于无线电子健康技术的电信；-超低功率超高频无线硬膜下脑电电极；-接入点覆盖和容量的建模和仿真；-应用于高级电磁建模和电信的实时数据压缩；-使用自适应中间件灾难工程开发动态分布式应用程序

This project, facilitating the development and execution of complex software applications (such as the seamless, fault-tolerant integration of wired and wireless health care networks), proposes the development of an Arkansas Intelligent Coordinating Entities Emulab at the University of Arkansas at Little Rock. The emergence of new large-scale application domains combined with new distributed computing scenarios such as ad-hoc, mobile, peer-to-peer, and pervasive computing techniques motivate the need for novel approaches to support complex software applications. In critical situations, embedded hardware and software elements in the applications are resource-constrained and power limited devices. Effective coordination of these distributed elements is often contextual, and often strictly related to the environment in which they reside. However, dynamically changing group structures and environments require a configurable, flexible, scalable, and easy to use computing environment that supports composition and dynamics of free-ranging aggregates. The lab permits quick set-up of experiments that scale with minimal effort and are repeatable under different parameters. Emulab offers the flexibility to change parameters and network scenarios, allowing repeatability. Supporting research activities that include health-related projects, the infrastructure enables common net-centric research training and industrial collaboration. The project addresses the following problems: -Intelligent Communication and Coordination of Sensor Networks; -Implantable Antennas, -Advanced Bio-Electromagnetic Modeling and Simulations and Telecommunications Applied to Wireless E-Health Technologies; -Ultra Low Power UHF Wireless Subdural Electroencephalogram Electrode; -Modeling and Simulation of Access Point Coverage and Capacity; -Real Time Data Compression Applied to Advanced Electromagnetic Modeling and Telecommunications; -Developing Dynamic Distributed Applications Using Adaptive Middleware Disaster Engineering