Online control message aggregation in chain networks

  • Authors:

  • Marcin Bienkowski;Jaroslaw Byrka;Marek Chrobak;Łukasz Jeż;Jiří Sgall;Grzegorz Stachowiak

  • Affiliations:

  • 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;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

  • Venue:
  • WADS'13 Proceedings of the 13th international conference on Algorithms and Data Structures
  • Year:
  • 2013

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Abstract

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 $\mathbb{NP}$-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.