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Dynamic TCP acknowledgement

机译:动态TCP确认

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We study the problem of acknowledging a sequence of data packets that are sent across a TCP connection. Previous work on the problem has focused mostly on the objective function that minimizes the sum of the number of acknowledgements sent and the delays incurred for all of the packets. Dooly, Goldman and Scott presented a deterministic 2-competitive online algorithm and showed that this is the best competitiveness of a deterministic strategy. Recently Karlin, Kenyon and Randall developed a randomized online algorithm that achieves an optimal competitive ratio of e/(e -- 1) ≈ 1.58.In this paper we investigate a new objective function that minimizes the sum of the number of acknowledgements sent and the maximum delay incurred for any of the packets. This function is especially interesting if a TCP connection is used for interactive data transfer between network nodes. The TCP acknowledgement problem with this new objective function is different in structure than the problem with the function considered previously. We develop a deterministic online algorithm that achieves a competitive ratio of π2/6 , ≈ 1.644 and prove that no deterministic algorithm can have a smaller competitiveness. We also study a generalized objective function where delays are taken to the p-th power, for some positive integer p. Again we give tight upper and lower bounds on the best possible competitive ratio of deterministic online algorithms. The competitiveness is 1 plus an alternating sum of Riemann's zeta function and tends to 1.5 as p → ∞. Finally we consider randomized online algorithms and show that, for our first objective function, no randomized strategy can achieve a competitive ratio smaller than 3/(3 -- 2/e) ≈ 1.324. For the generalized objective function we show a lower bound of 2/(2 -- 1/e) ≈ 1.225.
机译:我们研究了确认通过TCP连接发送的数据包序列的问题。关于该问题的先前工作主要集中在目标函数上,该目标函数将发送的确认数量和所有数据包所引起的延迟的总和最小化。 Dooly,Goldman和Scott提出了确定性2竞争在线算法,并证明这是确定性策略的最佳竞争力。最近Karlin,Kenyon和Randall开发了一种随机在线算法,该算法可实现 e /( e -1)≈1.58的最佳竞争比。目标函数,可将发送的确认数之和与任何数据包所产生的最大延迟之和最小化。如果将TCP连接用于网络节点之间的交互式数据传输,则此功能特别有趣。具有此新目标函数的TCP确认问题在结构上与先前考虑的函数的问题不同。我们开发了一种确定性在线算法,该算法可实现竞争比π 2 / 6≈1.644,并证明没有确定性算法可以具有较小的竞争力。我们还研究了广义目标函数,其中对某些正整数 p 采取了延迟 p 的方法。同样,对于确定性在线算法的最佳竞争比,我们给出了严格的上限和下限。竞争力为1加上黎曼zeta函数的交替和,并且随着 p →∞趋于1.5。最后,我们考虑了随机在线算法,并证明,对于我们的第一个目标函数,没有任何一种随机策略可以实现小于3 /(3-2 / e )≈1.324的竞争比。对于广义目标函数,我们显示了2 /(2-1-/ e )≈1.225的下限。

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