异构包处理的共享内存缓冲管理

P. Eugster, Kirill Kogan, S. Nikolenko, Alexander Sirotkin
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引用次数: 21

摘要

分组处理越来越多地涉及异构需求。我们考虑了众所周知的带有界缓冲区的共享内存开关模型,并在两个方向上进行了推广。首先,我们考虑标有输出端口和处理要求的单位大小的数据包(即具有异构处理的数据包),以最大化传输数据包的数量。我们通过竞争分析分析了缓冲管理策略在不同特征下的性能,该分析提供了跨交通模式的统一保证(Borodin和El-Yaniv, 1998)。我们提出了最长的工作掉落策略,并证明了它最多是2竞争,至少是sqrt 2竞争。其次,我们考虑另一种推广,在[10]中作为一个开放问题提出,其中每个单位大小的数据包都被标记为输出端口和内在值,目标是最大化传输数据包的总价值。我们在这个方向上展示了第一个结果,并定义了一个调度策略,正如我们猜想的那样,可以实现恒定的竞争比。我们还提出了一个全面的模拟研究来验证我们的结果。
本文章由计算机程序翻译,如有差异,请以英文原文为准。
Shared Memory Buffer Management for Heterogeneous Packet Processing
Packet processing increasingly involves heterogeneous requirements. We consider the well-known model of a shared memory switch with bounded-size buffer and generalize it in two directions. First, we consider unit-sized packets labeled with an output port and a processing requirement (i.e., packets with heterogeneous processing), maximizing the number of transmitted packets. We analyze the performance of buffer management policies under various characteristics via competitive analysis that provides uniform guarantees across traffic patterns (Borodin and El-Yaniv, 1998). We propose the Longest-Work-Drop policy and show that it is at most 2-competitive and at least sqrt 2}-competitive. Second, we consider another generalization, posed as an open problem in [10], where each unit-sized packet is labeled with an output port and intrinsic value, and the goal is to maximize the total value of transmitted packets. We show first results in this direction and define a scheduling policy that, as we conjecture, may achieve constant competitive ratio. We also present a comprehensive simulation study that validates our results.
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