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Scalable and self-organizing (meta) data dissemination for ubiquitous computing

机译:无处不在的计算可扩展和自组织(META)数据传播

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One of the promises of ubiquitous computing is the ability to tie heterogeneous computing elements together in a manner where the whole is larger than the sum of the individual parts. Thus, Internet services, file servers (PC's), personal digital assistants, sensors, and embedded computers (in appliances ranging from light switches to automobiles) will interact with one another based on application requirements and proximity. The metric of proximity is interesting because it can be either physical, where computers interact with one another by virtue of being in the same approximate location (for example, in a Smart Room), or semantic, where events in one region of the world/network affect interested parties in another (for example, a stock price hitting a target level or an alarm clock coordinating with traffic sensors, weather reports, airline delays, and a user's calendar). One key challenge to coordinating computers in the above manner is the scalable dissemination of service data and metadata to a potentially large population of clients. We discuss a number of examples below.
机译:无处不在的计算的承诺之一是能够以完整总体大于各个部件的总和的方式将异构计算元件系在一起。因此,互联网服务,文件服务器(PC),个人数字助理,传感器和嵌入式计算机(从光交换机到汽车的电器中)将根据应用要求和接近彼此相互作用。接近度的度量是有趣的,因为它可以是物理的,其中计算机借助于在相同的近似位置(例如,在智能房间)或语义中,在世界的一个区域中的事件中彼此相互交互网络在另一个人中影响有关方面(例如,股票价格击中目标级别或闹钟与交通传感器,天气报告,航空公司延迟和用户日历协调)。以上述方式协调计算机的一个关键挑战是将服务数据和元数据的可扩展传播到潜在的大量客户端。我们讨论下面的一些例子。

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