内容中心网络中的流量控制增强

Abhishek K. Gupta, Kushal Bansal
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引用次数: 1

摘要

在内容中心网络(Content Centric Networking, CCN)的基于窗口的流控制机制中,对于一个兴趣(一个内容请求包),期望接收多个内容对象(Content Objects,内容块)。TCP的RTT估计算法不能直接用于这种场景,因为对于某些内容,将没有兴趣引用。本文将TCP的RTT估计扩展到基于窗口的流量控制机制。我们还估计了处理时间延迟,并使用该估计来计算一些计时器值。各种实验结果支持了所提出的机制。此外,我们还提出了一种基于窗口流控制机制的内容库处理的优化方法,并对实际实现的结果进行了比较。
本文章由计算机程序翻译,如有差异,请以英文原文为准。
Flow control enhancements in Content Centric Networking
In window-based flow control mechanism for Content Centric Networking (CCN), for one Interest (a content request packet), more than one Content Objects (content chunks) are expected to be received. TCP's RTT estimation algorithm cannot be used directly for such scenarios because for some contents, there will be no Interest reference. In this paper, we extend TCP's RTT estimation for window-based flow control mechanism. We also estimate the processing time delay and use the estimate to compute a number of timer values. The proposed mechanism is supported by various experimental results. In addition to that, we also propose an optimization for Content Store processing in window-based flow control mechanism for the received Interest packet and compare the results obtained from the actual implementation.
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