In online set packing (osp), elements arrive online, announcing which sets they belong to, and the algorithm needs to assign each element, upon arrival, to one of its sets. The goal is to maximize the number of sets that are assigned all their elements: a set that misses even a single element is deemed worthless. This is a natural online optimization problem that abstracts allocation of scarce compound resources, e.g., multi-packet data frames in communication networks. We present a randomized competitive online algorithm for the weighted case with general capacity (namely, where sets may have different values, and elements arrive with different multiplicities). We prove a matching lower bound on the competitive ratio for any randomized onl...
We study the relationship between the competitive ratio and the tail distribution of randomized onli...
We propose a new approach to competitive analysis in online scheduling by introducing the novel conc...
We consider a generic online allocation problem that generalizes the classical online set cover fram...
We consider a scenario where large data frames are broken into a few packets and transmitted over th...
In an online problem, information is revealed incrementally and decisions have to be made before the...
AbstractIn this paper, we consider the weighted online set k-multicover problem. In this problem, we...
We introduce and study online versions of weighted matching problems in metric spaces. We present a ...
Numerous combinatorial optimization problems (knapsack, maximum-weight matching, etc.) can be expres...
International audienceWe consider two new variants of online integer programs that are duals. In the...
In this paper, we consider the weighted online set k-multicover problem. In this problem, we have an...
This paper considers an on-line optimization version of the set cover problem. We present a optimall...
A bin of capacity 1 and a finite sequence σ of items of sizes a1,a2,… are considered, where the item...
We study the relationship between the competitive ratio and the tail distribution of randomized onli...
We study the relationship between the competitive ratio and the tail distribution of randomized onli...
In competitive analysis, we usually do not put any restrictions on the computational complexity of o...
We study the relationship between the competitive ratio and the tail distribution of randomized onli...
We propose a new approach to competitive analysis in online scheduling by introducing the novel conc...
We consider a generic online allocation problem that generalizes the classical online set cover fram...
We consider a scenario where large data frames are broken into a few packets and transmitted over th...
In an online problem, information is revealed incrementally and decisions have to be made before the...
AbstractIn this paper, we consider the weighted online set k-multicover problem. In this problem, we...
We introduce and study online versions of weighted matching problems in metric spaces. We present a ...
Numerous combinatorial optimization problems (knapsack, maximum-weight matching, etc.) can be expres...
International audienceWe consider two new variants of online integer programs that are duals. In the...
In this paper, we consider the weighted online set k-multicover problem. In this problem, we have an...
This paper considers an on-line optimization version of the set cover problem. We present a optimall...
A bin of capacity 1 and a finite sequence σ of items of sizes a1,a2,… are considered, where the item...
We study the relationship between the competitive ratio and the tail distribution of randomized onli...
We study the relationship between the competitive ratio and the tail distribution of randomized onli...
In competitive analysis, we usually do not put any restrictions on the computational complexity of o...
We study the relationship between the competitive ratio and the tail distribution of randomized onli...
We propose a new approach to competitive analysis in online scheduling by introducing the novel conc...
We consider a generic online allocation problem that generalizes the classical online set cover fram...