activity
20172022
most citedComplexity and Inapproximability Results for Parallel Task Scheduling and Strip Packing

1 citations · 3 across the 5 of their papers we have counts for

collaborators

8 papers

cs.DS2022

Scheduling with Many Shared Resources

Max A. Deppert, Klaus Jansen, Marten Maack +2

Consider the many shared resource scheduling problem where jobs have to be scheduled on identical parallel machines with the goal of minimizing the makespan. However, each job need…

cs.SI20221 cited

Inference of a Rumor's Source in the Independent Cascade Model

Petra Berenbrink, Max Hahn-Klimroth, Dominik Kaaser +2

We consider the so-called Independent Cascade Model for rumor spreading or epidemic processes popularized by Kempe et al.\ [2003]. In this model, a small subset of nodes from a net…

cs.DC2022

On the Hierarchy of Distributed Majority Protocols

Petra Berenbrink, Amin Coja-Oghlan, Oliver Gebhard +3

We study the Consensus problem among agents, defined as follows. Initially, each agent holds one of two possible opinions. The goal is to reach a consensus configuration in whi…

cs.DS2021

Closing the gap for single resource constraint scheduling

Klaus Jansen, Malin Rau

In the problem called single resource constraint scheduling, we are given identical machines and a set of jobs, each needing one machine to be processed as well as a share of a…

cs.DS20211 cited

Peak Demand Minimization via Sliced Strip Packing

Max A. Deppert, Klaus Jansen, Arindam Khan +2

We study Nonpreemptive Peak Demand Minimization (NPDM) problem, where we are given a set of jobs, specified by their processing times and energy requirements. The goal is to schedu…

cs.DS2020

Solving Packing Problems with Few Small Items Using Rainbow Matchings

Max Bannach, Sebastian Berndt, Marten Maack +4

An important area of combinatorial optimization is the study of packing and covering problems, such as Bin Packing, Multiple Knapsack, and Bin Covering. Those problems have been st…