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20152024
most citedAn Algorithmic Framework for Shape Formation Problems in Self-Organizing Particle Systems

4 citations · 7 across the 8 of their papers we have counts for

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Showing 2018Show all

10 papers · 1 filter

cs.DC2018

A Self-Stabilizing Hashed Patricia Trie

Till Knollmann, Christian Scheideler

While a lot of research in distributed computing has covered solutions for self-stabilizing computing and topologies, there is far less work on self-stabilization for distributed d…

cs.DC2018

Always be Two Steps Ahead of Your Enemy

Thorsten Götte, Vipin Ravindran Vijayalakshmi, Christian Scheideler

We investigate the maintenance of overlay networks under massive churn, i.e. nodes joining and leaving the network. We assume an adversary that may churn a constant fraction o…

cs.DC2018

A Bounding Box Overlay for Competitive Routing in Hybrid Communication Networks

Jannik Castenow, Christina Kolb, Christian Scheideler

In this work, we present a new approach for competitive geometric routing in wireless ad hoc networks. In general, it is well-known that any online routing strategy performs very p…

cs.DC2018

Relays: A New Approach for the Finite Departure Problem in Overlay Networks

Christian Scheideler, Alexander Setzer

A fundamental problem for overlay networks is to safely exclude leaving nodes, i.e., the nodes requesting to leave the overlay network are excluded from it without affecting its co…

cs.DC2018

On Underlay-Aware Self-Stabilizing Overlay Networks

Thorsten Götte, Christian Scheideler, Alexander Setzer

We present a self-stabilizing protocol for an overlay network that constructs the Minimum Spanning Tree (MST) for an underlay that is modeled by a weighted tree. The weight of an o…

cs.DC2018

Self-stabilizing Overlays for high-dimensional Monotonic Searchability

Michael Feldmann, Christina Kolb, Christian Scheideler

We extend the concept of monotonic searchability for self-stabilizing systems from one to multiple dimensions. A system is self-stabilizing if it can recover to a legitimate state…