BPA:一种用于实时交换以太网的快速分组调度算法

Jinggang Wang, B. Ravindran
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引用次数: 6

摘要

本文提出了一种用于实时交换以太网的mac层分组调度算法BPA。BPA考虑一个消息模型,其中跨节点应用程序级消息具有端到端的时效性需求,这些需求是使用Jensen的利益函数指定的。BPA的目标是最大化聚合消息级收益。该算法认为,该目标可以通过最大化聚合包级利益来实现,其中允许消息包继承其父消息的利益函数。因此,BPA解决了一个非抢占式的数据包调度问题。由于这个问题是np困难的,BPA启发式地计算数据包调度以最大化总体效益,导致最坏情况下的计算复杂度为0 (n/sup 2/)。对于同样的问题,这比之前已知的最佳算法(称为CMA)的复杂度为0 (n/sup 3/)要好。此外,我们的实验研究表明,BPA在一系列广泛的效益功能上表现得与CMA一样好,并且在某些效益功能上明显优于CMA。此外,我们观察到,当消息到达密度增加时,BPA的错过截止日期率比CMA低。
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BPA: a fast packet scheduling algorithm for real-time switched Ethernet networks
In this paper, we present a MAC-layer packet scheduling algorithm, called BPA, for real-time switched Ethernet networks. BPA considers a message model where trans-node application-level messages have end-to-end timeliness requirements that are specified using Jensen's benefit functions. The objective of BPA is to maximize the aggregate message-level benefit. The algorithm reasons that this objective can be achieved by maximizing aggregate packet-level benefit, where packets of messages are allowed to inherit benefit functions of their parent messages. BPA thus solves a non-preemptive packet scheduling problem. Since this problem is NP-hard, BPA heuristically computes packet schedules to maximize aggregate benefit, incurring a worst-case computational complexity of O(n/sup 2/). This is better than the O(n/sup 3/) complexity of the previously known best algorithm (called CMA) for the same problem. Further, our experimental studies show that BPA performs as good as CMA for a broad set of benefit functions, and significantly outperforms CMA for some benefit functions. Furthermore, we observe that BPA yields lower missed-deadline ratio than CMA when message arrival density increases.
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