A $D$-competitive algorithm for the Multilevel Aggregation Problem with Deadlines

TL;DR

This paper introduces a new online algorithm for the multi-level aggregation problem with deadlines that achieves a competitive ratio of D, improving upon previous algorithms, and simplifies implementation while addressing applications like multicasting and sensor networks.

Contribution

The paper presents a D-competitive online algorithm for MLAPD, improving the competitive ratio and simplifying the approach compared to prior work.

Findings

Achieves a D-competitive ratio for MLAPD

Improves upon the previous 6(D+1)-competitive algorithm

Provides better ratios for special cases

Abstract

In this paper, we consider the multi-level aggregation problem with deadlines (MLAPD) previously studied by Bienkowski et al. (2015), Buchbinder et al. (2017), and Azar and Touitou (2019). This is an online problem where the algorithm services requests arriving over time and can save costs by aggregating similar requests. Costs are structured in the form of a rooted tree. This problem has applications to many important areas such as multicasting, sensor networks, and supply-chain management. In particular, the TCP-acknowledgment problem, joint-replenishment problem, and assembly problem are all special cases of the delay version of the problem. We present a $D$-competitive algorithm for MLAPD. This beats the $6(D+1)$-competitive algorithm given in Buchbinder et al. (2017). Our approach illuminates key structural aspects of the problem and provides an algorithm that is simpler to implement than previous approaches. We also give improved competitive ratios for special cases of the problem.