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Online Control Message Aggregation in Chain Networks

机译:链网络中的在线控制消息聚合

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摘要

In the Control Message Aggregation (CMA) problem, control packets are generated over time at the nodes of a tree T and need to be transmitted to the root of T. To optimize the overall cost, these transmissions can be delayed and different packets can be aggregated, that is a single transmission can include all packets from a subtree rooted at the root of T. The cost of this transmission is then equal to the total edge length of this subtree, independently of the number of packets that are sent. A sequence of transmissions that transmits all packets is called a schedule. The objective is to compute a schedule with minimum cost, where the cost of a schedule is the sum of all the transmission costs and delay costs of all packets. The problem is known to be NP-hard, even for trees of depth 2. In the online scenario, it is an open problem whether a constant-competitive algorithm exists. We address the special case of the problem when T is a chain network. For the online case, we present a 5-competitive algorithm and give a lower bound of 2 + φ ≈ 3.618, improving the previous bounds of 8 and 2, respectively. Furthermore, for the offline version, we give a polynomial-time algorithm that computes the optimum solution.
机译:在“控制消息聚合(CMA)”问题中,控制数据包会随时间在树T的节点上生成,并且需要传输到T的根。为了优化总体成本,可以延迟这些传输,并且可以将不同的数据包聚合,也就是说,单个传输可以包括来自以T的根为根的子树的所有数据包。然后,此传输的成本等于该子树的总边缘长度,与发送的数据包数量无关。传输所有分组的传输序列称为调度表。目的是以最小的成本来计算调度,其中调度的成本是所有传输成本和所有分组的延迟成本之和。即使对于深度为2的树,该问题也是已知的NP难题。在在线方案中,是否存在恒定竞争算法是一个悬而未决的问题。当T是链网络时,我们将解决问题的特殊情况。对于在线情况,我们提出了5种竞争算法,并给出了2 +φ≈3.618的下限,分别提高了先前的8和2的界限。此外,对于离线版本,我们提供了多项式时间算法来计算最佳解。

著录项

  • 来源
    《Algorithms and data structures》|2013年|133-145|共13页
  • 会议地点 London(CA)
  • 作者单位

    Institute of Computer Science, University of Wroclaw, Poland;

    Institute of Computer Science, University of Wroclaw, Poland;

    Department of Computer Science, University of California at Riverside, USA;

    Institute of Computer Science, University of Wroclaw, Poland,Dept. of Computer, Control, and Management Engineering, Sapienza University of Rome, Italy;

    Computer Science Institute, Faculty of Mathematics and Physics, Charles University, Czech Republic;

    Institute of Computer Science, University of Wroclaw, Poland;

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  • 原文格式 PDF
  • 正文语种 eng
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  • 入库时间 2022-08-26 14:20:37

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