Collecting Weighted Items from a Dynamic Queue 

Christoph Durr (LIP6, Paris)

We consider online competitive algorithms for the problem of collecting weighted items 
from a dynamic set S, when items are added to or deleted from S over time. 
The objective is to maximize the total weight of collected items. We study the general version, 
as well as variants with various restrictions, including the following: the uniform case, when 
all items have the same weight, the decremental sets, when all items are present at the beginning 
and only deletion operations are allowed, and dynamic queues, where the dynamic set is ordered and 
only its prefixes can be deleted (with no restriction on insertions). The dynamic queue case is a 
generalization of bounded-delay packet scheduling (also referred to as buffer management). 
We present several upper and lower bounds on the competitive ratio for these variants. 

(travail en collaboration avec Marcin Bienkowski, Marek Chrobak, Mathilde Hurand, Artur Jez, Lukasz Jez, Grzegorz Stachowiak).