面向普适计算的可伸缩和自组织(元)数据传播

Amin Vahdat
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引用次数: 0

摘要

泛在计算的承诺之一是能够以一种整体大于单个部分之和的方式将异构计算元素结合在一起。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(从电灯开关到汽车等电器)根据应用需求和邻近程度相互作用。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以可伸缩的方式传播给潜在的大量客户端。我们讨论了一些例子。贯穿所有这些应用程序的共同问题是,需要以可伸缩的方式在互联网上可能有数以百万计的节点之间传播数据。接下来,我们将介绍Dicast,这是一个通信模型,旨在支持一系列应用程序和语义的可扩展传播。然后,我们讨论了与实现该模型相关的一些研究问题。
本文章由计算机程序翻译,如有差异,请以英文原文为准。
Scalable and self-organizing (meta) data dissemination for ubiquitous computing
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 (PCs), personal digital assistants, sensors and embedded computers (in appliances ranging from light switches to automobiles) interact with one another based on application requirements and proximity. One key challenge to coordinating computers in the above manner is the scalable dissemination of service data and meta-data to a potentially large population of clients. We discuss a number of examples. The common thread running through all these applications is the need for disseminating data in a scalable fashion among potentially millions of nodes spread across the Internet. We next present Dicast, a communication model designed to support scalable dissemination for a range of applications and semantics. We then discuss a number of research issues associated with realizing this model.
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