@inproceedings{13652,
author = {Hinnenthal, Kristian and Scheideler, Christian and Struijs, Martijn},
booktitle = {33rd International Symposium on Distributed Computing (DISC 2019)},
title = {{Fast Distributed Algorithms for LP-Type Problems of Low Dimension}},
doi = {10.4230/LIPICS.DISC.2019.23},
year = {2019},
}
@inproceedings{7636,
abstract = {Self-stabilizing overlay networks have the advantage of being able to recover from illegal states and faults.
However, the majority of these networks cannot give any guarantees on their functionality while the recovery process is going on.
We are especially interested in searchability, i.e., the functionality that search messages for a specific node are answered successfully if a node exists in the network.
In this paper we investigate overlay networks that ensure the maintenance of monotonic searchability while the self-stabilization is going on.
More precisely, once a search message from node u to another node v is successfully delivered, all future search messages from u to v succeed as well.
We extend the existing research by focusing on skip graphs and present a solution for two scenarios: (i) the goal topology is a super graph of the perfect skip graph and (ii) the goal topology is exactly the perfect skip graph.
},
author = {Luo, Linghui and Scheideler, Christian and Strothmann, Thim Frederik},
booktitle = {Proceedings of the 2019 IEEE 33rd International Parallel and Distributed Processing Symposium (IPDPS '19)},
location = {Rio de Janeiro, Brazil},
title = {{MultiSkipGraph: A Self-stabilizing Overlay Network that Maintains Monotonic Searchability}},
year = {2019},
}
@inproceedings{10586,
abstract = {We consider the problem of transforming a given graph G_s into a desired graph G_t by applying a minimum number of primitives from a particular set of local graph transformation primitives. These primitives are local in the sense that each node can apply them based on local knowledge and by affecting only its 1-neighborhood. Although the specific set of primitives we consider makes it possible to transform any (weakly) connected graph into any other (weakly) connected graph consisting of the same nodes, they cannot disconnect the graph or introduce new nodes into the graph, making them ideal in the context of supervised overlay network transformations. We prove that computing a minimum sequence of primitive applications (even centralized) for arbitrary G_s and G_t is NP-hard, which we conjecture to hold for any set of local graph transformation primitives satisfying the aforementioned properties. On the other hand, we show that this problem admits a polynomial time algorithm with a constant approximation ratio.},
author = {Scheideler, Christian and Setzer, Alexander},
keyword = {Graphs transformations, NP-hardness, approximation algorithms},
pages = {150:1----150:14},
publisher = {Dagstuhl Publishing},
title = {{On the Complexity of Local Graph Transformations}},
doi = {10.4230/LIPICS.ICALP.2019.150},
volume = {132},
year = {2019},
}
@inbook{9599,
author = {Daymude, Joshua J. and Hinnenthal, Kristian and Richa, Andréa W. and Scheideler, Christian},
booktitle = {Distributed Computing by Mobile Entities, Current Research in Moving and Computing.},
pages = {615--681},
publisher = {Springer, Cham},
title = {{Computing by Programmable Particles}},
doi = {https://doi.org/10.1007/978-3-030-11072-7_22},
year = {2019},
}
@inproceedings{12944,
author = {Götte, Thorsten and Hinnenthal, Kristian and Scheideler, Christian},
booktitle = {Structural Information and Communication Complexity},
title = {{Faster Construction of Overlay Networks}},
doi = {10.1007/978-3-030-24922-9_18},
year = {2019},
}
@inproceedings{8534,
abstract = {We propose two protocols for distributed priority queues (denoted by 'heap' for simplicity in this paper) called SKEAP and SEAP. SKEAP realizes a distributed heap for a constant amount of priorities and SEAP one for an arbitrary amount. Both protocols build on an overlay, which induces an aggregation tree on which heap operations are aggregated in batches, ensuring that our protocols scale even for a high rate of incoming requests. As part of SEAP we provide a novel distributed protocol for the k-selection problem that runs in time O(log n) w.h.p. SKEAP guarantees sequential consistency for its heap operations, while SEAP guarantees serializability. SKEAP and SEAP provide logarithmic runtimes w.h.p. on all their operations.
SKEAP and SEAP provide logarithmic runtimes w.h.p. on all their operations with SEAP having to use only O(log n) bit messages.},
author = {Feldmann, Michael and Scheideler, Christian},
booktitle = {Proceedings of the 31st ACM Symposium on Parallelism in Algorithms and Architectures (SPAA)},
pages = {287----296},
publisher = {ACM},
title = {{Skeap & Seap: Scalable Distributed Priority Queues for Constant and Arbitrary Priorities}},
doi = {10.1145/3323165.3323193},
year = {2019},
}
@inproceedings{13182,
abstract = {We consider congestion control in peer-to-peer distributed systems.
The problem can be reduced to the following scenario: Consider a set $V$ of $n$ peers (called \emph{clients} in this paper) that want to send messages to a fixed common peer (called \emph{server} in this paper).
We assume that each client $v \in V$ sends a message with probability $p(v) \in [0,1)$ and the server has a capacity of $\sigma \in \mathbb{N}$, i.e., it can recieve at most $\sigma$ messages per round and excess messages are dropped.
The server can modify these probabilities when clients send messages.
Ideally, we wish to converge to a state with $\sum p(v) = \sigma$ and $p(v) = p(w)$ for all $v,w \in V$.
We propose a \emph{loosely} self-stabilizing protocol with a slightly relaxed legitimate state.
Our protocol lets the system converge from \emph{any} initial state to a state where $\sum p(v) \in \left[\sigma \pm \epsilon\right]$ and $|p(v)-p(w)| \in O(\frac{1}{n})$.
This property is then maintained for $\Omega(n^{\mathfrak{c}})$ rounds in expectation.
In particular, the initial client probabilities and server variables are not necessarily well-defined, i.e., they may have arbitrary values.
Our protocol uses only $O(W + \log n)$ bits of memory where $W$ is length of node identifiers, making it very lightweight.
Finally we state a lower bound on the convergence time an see that our protocol performs asymptotically optimal (up to some polylogarithmic factor).
},
author = {Feldmann, Michael and Götte, Thorsten and Scheideler, Christian},
booktitle = {Proceedings of the 21st International Symposium on Stabilization, Safety, and Security of Distributed Systems (SSS)},
title = {{A Loosely Self-stabilizing Protocol for Randomized Congestion Control with Logarithmic Memory}},
year = {2019},
}