@inproceedings{8871,
author = {Augustine, John and Ghaffari, Mohsen and Gmyr, Robert and Hinnenthal, Kristian and Kuhn, Fabian and Li, Jason and Scheideler, Christian},
booktitle = {Proceedings of the 31st ACM Symposium on Parallelism in Algorithms and Architectures},
publisher = {ACM},
title = {{Distributed Computation in Node-Capacitated Networks}},
doi = {10.1145/3323165.3323195},
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{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)},
publisher = {ACM},
title = {{Skeap & Seap: Scalable Distributed Priority Queues for Constant and Arbitrary Priorities}},
year = {2019},
}
@inproceedings{7570,
author = {Meyer auf der Heide, Friedhelm and Schaefer, Johannes Sebastian},
booktitle = {Proceedings of the 30th on Symposium on Parallelism in Algorithms and Architectures - SPAA '18},
isbn = {9781450357999},
location = {Vienna},
publisher = {ACM Press},
title = {{Brief Announcement: Communication in Systems of Home Based Mobile Agents}},
doi = {10.1145/3210377.3210662},
year = {2018},
}
@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{2850,
author = {Hamann, Heiko and Markarian, Christine and Meyer auf der Heide, Friedhelm and Wahby, Mostafa},
booktitle = {Ninth International Conference on Fun with Algorithms (FUN)},
title = {{Pick, Pack, & Survive: Charging Robots in a Modern Warehouse based on Online Connected Dominating Sets}},
doi = {10.4230/LIPIcs.FUN.2018.22},
year = {2018},
}
@inproceedings{4565,
author = {Jung, Daniel and Kolb, Christina and Scheideler, Christian and Sundermeier, Jannik},
booktitle = {Proceedings of the 30th on Symposium on Parallelism in Algorithms and Architectures (SPAA)},
isbn = {9781450357999},
location = {Wien},
publisher = {ACM Press},
title = {{Brief Announcement: Competitive Routing in Hybrid Communication Networks}},
doi = {10.1145/3210377.3210663},
year = {2018},
}
@inproceedings{5222,
abstract = {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 overlay edge between two nodes is the weighted length of their shortest path in the tree. We rigorously prove that our protocol works correctly under asynchronous and non-FIFO message delivery. Further, the protocol stabilizes after O(N^2) asynchronous rounds where N is the number of nodes in the overlay. },
author = {Götte, Thorsten and Scheideler, Christian and Setzer, Alexander},
booktitle = {Proceedings of the 20th International Symposium on Stabilization, Safety, and Security of Distributed Systems (SSS 2018)},
location = {Tokyo, Japan},
pages = {50--64},
publisher = {Springer},
title = {{On Underlay-Aware Self-Stabilizing Overlay Networks}},
volume = {11201},
year = {2018},
}
@inproceedings{4375,
abstract = {We present a peer-to-peer network that supports the efficient processing of orthogonal range queries $R=\bigtimes_{i=1}^{d}[a_i,\,b_i]$ in a $d$-dimensional point space.\\
The network is the same for each dimension, namely a distance halving network like the one introduced by Naor and Wieder (ACM TALG'07).
We show how to execute such range queries using $\mathcal{O}\left(2^{d'}d\,\log m + d\,|R|\right)$ hops (and the same number of messages) in total. Here $[m]^d$ is the ground set, $|R|$ is the size and $d'$ the dimension of the queried range.
Furthermore, if the peers form a distributed network, the query can be answered in $\mathcal{O}\left(d\,\log m + d\,\sum_{i=1}^{d}(b_i-a_i+1)\right)$ communication rounds.
Our algorithms are based on a mapping of the Hilbert Curve through $[m]^d$ to the peers.},
author = {Benter, Markus and Knollmann, Till and Meyer auf der Heide, Friedhelm and Setzer, Alexander and Sundermeier, Jannik},
booktitle = {Proceedings of the 4th International Symposium on Algorithmic Aspects of Cloud Computing (ALGOCLOUD)},
keyword = {Distributed Storage, Multi-Dimensional Range Queries, Peer-to-Peer, Hilbert Curve},
location = {Helsinki},
title = {{A Peer-to-Peer based Cloud Storage supporting orthogonal Range Queries of arbitrary Dimension}},
doi = {10.1007/978-3-030-19759-9_4},
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},
}
@article{2849,
author = {Abu-Khzam, Faisal N. and Markarian, Christine and Meyer auf der Heide, Friedhelm and Schubert, Michael},
journal = {Theory of Computing Systems},
publisher = {Springer},
title = {{Approximation and Heuristic Algorithms for Computing Backbones in Asymmetric Ad-hoc Networks}},
doi = {10.1007/s00224-017-9836-z},
year = {2018},
}
@inproceedings{2484,
abstract = {We study the classic bin packing problem in a fully-dynamic setting, where new items can arrive and old items may depart. We want algorithms with low asymptotic competitive ratio while repacking items sparingly between updates. Formally, each item i has a movement cost c_i >= 0, and we want to use alpha * OPT bins and incur a movement cost gamma * c_i, either in the worst case, or in an amortized sense, for alpha, gamma as small as possible. We call gamma the recourse of the algorithm. This is motivated by cloud storage applications, where fully-dynamic bin packing models the problem of data backup to minimize the number of disks used, as well as communication incurred in moving file backups between disks. Since the set of files changes over time, we could recompute a solution periodically from scratch, but this would give a high number of disk rewrites, incurring a high energy cost and possible wear and tear of the disks. In this work, we present optimal tradeoffs between number of bins used and number of items repacked, as well as natural extensions of the latter measure.},
author = {Feldkord, Björn and Feldotto, Matthias and Gupta, Anupam and Guruganesh, Guru and Kumar, Amit and Riechers, Sören and Wajc, David},
booktitle = {45th International Colloquium on Automata, Languages, and Programming (ICALP 2018)},
editor = {Chatzigiannakis, Ioannis and Kaklamanis, Christos and Marx, Dániel and Sannella, Donald},
isbn = {978-3-95977-076-7},
issn = {1868-8969},
location = {Prag},
pages = {51:1--51:24},
publisher = {Schloss Dagstuhl--Leibniz-Zentrum fuer Informatik},
title = {{Fully-Dynamic Bin Packing with Little Repacking}},
doi = {10.4230/LIPIcs.ICALP.2018.51},
volume = {107},
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{4411,
abstract = {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 data structures.
Considering crashing peers in peer-to-peer networks, it should not be taken for granted that a distributed data structure remains intact.
In this work, we present a self-stabilizing protocol for a distributed data structure called the hashed Patricia Trie (Kniesburges and Scheideler WALCOM'11) that enables efficient prefix search on a set of keys.
The data structure has a wide area of applications including string matching problems while offering low overhead and efficient operations when embedded on top of a distributed hash table.
Especially, longest prefix matching for $x$ can be done in $\mathcal{O}(\log |x|)$ hash table read accesses.
We show how to maintain the structure in a self-stabilizing way.
Our protocol assures low overhead in a legal state and a total (asymptotically optimal) memory demand of $\Theta(d)$ bits, where $d$ is the number of bits needed for storing all keys.},
author = {Knollmann, Till and Scheideler, Christian},
booktitle = {Proceedings of the 20th International Symposium on Stabilization, Safety, and Security of Distributed Systems (SSS)},
editor = {Izumi, Taisuke and Kuznetsov, Petr},
keyword = {Self-Stabilizing, Prefix Search, Distributed Data Structure},
location = {Tokyo},
publisher = {Springer, Cham},
title = {{A Self-Stabilizing Hashed Patricia Trie}},
doi = {10.1007/978-3-030-03232-6_1},
volume = {11201},
year = {2018},
}
@inproceedings{2485,
author = {Feldkord, Björn and Meyer auf der Heide, Friedhelm},
booktitle = {Proceedings of the 30th ACM Symposium on Parallelism in Algorithms and Architectures (SPAA)},
location = {Wien},
pages = {373 -- 381 },
publisher = {ACM},
title = {{Online Facility Location with Mobile Facilities}},
doi = {10.1145/3210377.3210389},
year = {2018},
}
@article{5984,
author = {Scheideler, Christian},
journal = {Theor. Comput. Sci.},
pages = {1},
title = {{Preface}},
doi = {10.1016/j.tcs.2018.11.004},
volume = {751},
year = {2018},
}
@inproceedings{4563,
abstract = {Routing is a challenging problem for wireless ad hoc networks, especially when the nodes are mobile and spread so widely that in most cases multiple hops are needed to route a message from one node to another. In fact, it is known that any online routing protocol has a poor performance in the worst case, in a sense that there is a distribution of nodes resulting in bad routing paths for that protocol, even if the nodes know their geographic positions and the geographic position of the destination of a message is known. The reason for that is that radio holes in the ad hoc network may require messages to take long detours in order to get to a destination, which are hard to find in an online fashion.
In this paper, we assume that the wireless ad hoc network can make limited use of long-range links provided by a global communication infrastructure like a cellular infrastructure or a satellite in order to compute an abstraction of the wireless ad hoc network that allows the messages to be sent along near-shortest paths in the ad hoc network. We present distributed algorithms that compute an abstraction of the ad hoc network in $\mathcal{O}\left(\log ^2 n\right)$ time using long-range links, which results in $c$-competitive routing paths between any two nodes of the ad hoc network for some constant $c$ if the convex hulls of the radio holes do not intersect. We also show that the storage needed for the abstraction just depends on the number and size of the radio holes in the wireless ad hoc network and is independent on the total number of nodes, and this information just has to be known to a few nodes for the routing to work.
},
author = {Jung, Daniel and Kolb, Christina and Scheideler, Christian and Sundermeier, Jannik},
booktitle = {Proceedings of the 14th International Symposium on Algorithms and Experiments for Wireless Networks (ALGOSENSORS) },
keyword = {greedy routing, ad hoc networks, convex hulls, c-competitiveness},
location = {Helsinki},
publisher = {Springer},
title = {{Competitive Routing in Hybrid Communication Networks}},
year = {2018},
}
@inproceedings{105,
abstract = {We initiate the study of network monitoring algorithms in a class of hybrid networks in which the nodes are connected by an external network and an internal network (as a short form for externally and internally controlled network). While the external network lies outside of the control of the nodes (or in our case, the monitoring protocol running in them) and might be exposed to continuous changes, the internal network is fully under the control of the nodes. As an example, consider a group of users with mobile devices having access to the cell phone infrastructure. While the network formed by the WiFi connections of the devices is an external network (as its structure is not necessarily under the control of the monitoring protocol), the connections between the devices via the cell phone infrastructure represent an internal network (as it can be controlled by the monitoring protocol). Our goal is to continuously monitor properties of the external network with the help of the internal network. We present scalable distributed algorithms that efficiently monitor the number of edges, the average node degree, the clustering coefficient, the bipartiteness, and the weight of a minimum spanning tree. Their performance bounds demonstrate that monitoring the external network state with the help of an internal network can be done much more efficiently than just using the external network, as is usually done in the literature.},
author = {Gmyr, Robert and Hinnenthal, Kristian and Scheideler, Christian and Sohler, Christian},
booktitle = {Proceedings of the 44th International Colloquium on Automata, Languages, and Programming (ICALP)},
pages = {137:1----137:15},
title = {{Distributed Monitoring of Network Properties: The Power of Hybrid Networks}},
doi = {10.4230/LIPIcs.ICALP.2017.137},
year = {2017},
}
@proceedings{5980,
editor = {Scheideler, Christian and Taghi Hajiaghayi, Mohammad},
isbn = {978-1-4503-4593-4},
publisher = {{ACM}},
title = {{Proceedings of the 29th ACM Symposium on Parallelism in Algorithms and Architectures, SPAA 2017, Washington DC, USA, July 24-26, 2017}},
doi = {10.1145/3087556},
year = {2017},
}
@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},
}