@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)},
pages = {149--164},
publisher = {Springer, Cham},
title = {{A Loosely Self-stabilizing Protocol for Randomized Congestion Control with Logarithmic Memory}},
doi = {https://doi.org/10.1007/978-3-030-34992-9_13},
year = {2019},
}
@inproceedings{4351,
abstract = { We extend the concept of monotonic searchability~\cite{DBLP:conf/opodis/ScheidelerSS15}~\cite{DBLP:conf/wdag/ScheidelerSS16} for self-stabilizing systems from one to multiple dimensions.
A system is self-stabilizing if it can recover to a legitimate state from any initial illegal state.
These kind of systems are most often used in distributed applications.
Monotonic searchability provides guarantees when searching for nodes while the recovery process is going on.
More precisely, if a search request started at some node $u$ succeeds in reaching its destination $v$, then all future search requests from $u$ to $v$ succeed as well.
Although there already exists a self-stabilizing protocol for a two-dimensional topology~\cite{DBLP:journals/tcs/JacobRSS12} and an universal approach for monotonic searchability~\cite{DBLP:conf/wdag/ScheidelerSS16}, it is not clear how both of these concepts fit together effectively.
The latter concept even comes with some restrictive assumptions on messages, which is not the case for our protocol.
We propose a simple novel protocol for a self-stabilizing two-dimensional quadtree that satisfies monotonic searchability.
Our protocol can easily be extended to higher dimensions and offers routing in $\mathcal O(\log n)$ hops for any search request.
},
author = {Feldmann, Michael and Kolb, Christina and Scheideler, Christian},
booktitle = {Proceedings of the 20th International Symposium on Stabilization, Safety, and Security of Distributed Systems (SSS)},
pages = {16--31 },
publisher = {Springer, Cham},
title = {{Self-stabilizing Overlays for high-dimensional Monotonic Searchability}},
doi = {10.1007/978-3-030-03232-6_2},
volume = {11201},
year = {2018},
}
@inproceedings{1163,
abstract = {In this paper we present two major results:
First, we introduce the first self-stabilizing version of a supervised overlay network (as introduced in~\cite{DBLP:conf/ispan/KothapalliS05}) by presenting a self-stabilizing supervised skip ring.
Secondly, we show how to use the self-stabilizing supervised skip ring to construct an efficient self-stabilizing publish-subscribe system.
That is, in addition to stabilizing the overlay network, every subscriber of a topic will eventually know all of the publications that have been issued so far for that topic. The communication work needed to processes a subscribe or unsubscribe operation is just a constant in a legitimate state, and the communication work of checking whether the system is still in a legitimate state is just a constant on expectation for the supervisor as well as any process in the system.
},
author = {Feldmann, Michael and Kolb, Christina and Scheideler, Christian and Strothmann, Thim Frederik},
booktitle = {Proceedings of the 32nd IEEE International Parallel & Distributed Processing Symposium (IPDPS)},
keyword = {Topological Self-stabilization, Supervised Overlay, Publish-Subscribe System},
location = {Vancouver},
publisher = {IEEE},
title = {{Self-Stabilizing Supervised Publish-Subscribe Systems}},
doi = {10.1109/IPDPS.2018.00114},
year = {2018},
}
@inproceedings{1164,
abstract = {We propose a distributed protocol for a queue, called Skueue, which spreads its data fairly onto multiple processes, avoiding bottlenecks in high throughput scenarios.
Skueuecan be used in highly dynamic environments, through the addition of join and leave requests to the standard queue operations enqueue and dequeue.
Furthermore Skueue satisfies sequential consistency in the asynchronous message passing model.
Scalability is achieved by aggregating multiple requests to a batch, which can then be processed in a distributed fashion without hurting the queue semantics.
Operations in Skueue need a logarithmic number of rounds w.h.p. until they are processed, even under a high rate of incoming requests.},
author = {Feldmann, Michael and Scheideler, Christian and Setzer, Alexander},
booktitle = {Proceedings of the 32nd IEEE International Parallel & Distributed Processing Symposium (IPDPS)},
location = {Vancouver},
publisher = {IEEE},
title = {{Skueue: A Scalable and Sequentially Consistent Distributed Queue}},
doi = {10.1109/IPDPS.2018.00113},
year = {2018},
}
@inproceedings{125,
abstract = {Searching for other participants is one of the most important operations in a distributed system.We are interested in topologies in which it is possible to route a packet in a fixed number of hops until it arrives at its destination.Given a constant $d$, this paper introduces a new self-stabilizing protocol for the $q$-ary $d$-dimensional de Bruijn graph ($q = \sqrt[d]{n}$) that is able to route any search request in at most $d$ hops w.h.p., while significantly lowering the node degree compared to the clique: We require nodes to have a degree of $\mathcal O(\sqrt[d]{n})$, which is asymptotically optimal for a fixed diameter $d$.The protocol keeps the expected amount of edge redirections per node in $\mathcal O(\sqrt[d]{n})$, when the number of nodes in the system increases by factor $2^d$.The number of messages that are periodically sent out by nodes is constant.},
author = {Feldmann, Michael and Scheideler, Christian},
booktitle = {Proceedings of the 19th International Symposium on Stabilization, Safety, and Security of Distributed Systems (SSS)},
isbn = {978-3-319-69083-4},
pages = {250--264 },
publisher = {Springer, Cham},
title = {{A Self-Stabilizing General De Bruijn Graph}},
doi = {10.1007/978-3-319-69084-1_17},
volume = {10616},
year = {2017},
}
@misc{278,
author = {Feldmann, Michael},
publisher = {Universität Paderborn},
title = {{Monotonic Searchability for distributed sorted Lists and De Bruijn Graphs}},
year = {2015},
}