信息驱动网络的性能建模与评估
Performance Modeling and Evaluation for Information-Driven Networks
摘要：
信息驱动的网络包括大类别的联网系统，其中网络节点知道所递送的信息，并且因此不仅可以转发数据分组，而且还可以执行信息处理。在许多情况下，在信息驱动的网络中的服务质量（QoS）被提供有信息冗余。传统的性能模型一般采用适合于面向分组的业务保证的评价指标，如分组时延、吞吐量、丢包率等。然而，这些业绩衡量标准与信息驱动网络的实际需要并不相符。信息驱动的网络的新的性能测量和模型，尽管它们的重要性，主要是空白，主要是因为信息处理是明显的应用程序依赖，不能很容易地在一个通用的框架内捕获。为了填补这一空缺，我们提出了一个新的性能评估框架，特别是针对信息驱动的网络，基于最近发展的随机网络演算。我们分析了QoS方面的信息传递和研究调度问题的新的性能指标。我们的分析框架可以用来计算网络容量的信息传递，并在同一时间，以帮助传输调度的一个大的机构的系统，QoS是随机保证的冗余信息。
英文摘要：
Information-driven networks include a large category of networking systems, where network nodes are aware of information delivered and thus can not only forward data packets but may also perform information processing. In many situations, the quality of service (QoS) in information-driven networks is provisioned with the redundancy in information. Traditional performance models generally adopt evaluation measures suitable for packet-oriented service guarantee, such as packet delay, throughput, and packet loss rate. These performance measures, however, do not align well with the actual need of information-driven networks. New performance measures and models for information-driven networks, despite their importance, have been mainly blank, largely because information processing is clearly application dependent and cannot be easily captured within a generic framework. To fill the vacancy, we present a new performance evaluation framework particularly tailored for information-driven networks, based on the recent development of stochastic network calculus. We analyze the QoS with respect to information delivery and study the scheduling problem with the new performance metrics. Our analytical framework can be used to calculate the network capacity in information delivery and in the meantime to help transmission scheduling for a large body of systems where QoS is stochastically guaranteed with the redundancy in information.
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