Computer Science
Document Type
Conference Paper
Abstract
Consider a point-to-point message-passing network. We are interested in the asynchronous crash-tolerant consensus problem in incomplete networks. We study the feasibility and efficiency of approximate consensus under different restrictions on topology knowledge and the relay depth, i.e., the maximum number of hops any message can be relayed. These two constraints are common in large-scale networks, and are used to avoid memory overload and network congestion respectively. Specifically, for positive integer values k and k', we consider that each node knows all its neighbors of at most k-hop distance (k-hop topology knowledge), and the relay depth is k'. We consider both directed and undirected graphs. More concretely, we answer the following question in asynchronous systems: What is a tight condition on the underlying communication graphs for achieving approximate consensus if each node has only a k-hop topology knowledge and relay depth is k'. To prove that the necessary conditions presented in the paper are also sufficient, we have developed algorithms that achieve consensus in graphs satisfying those conditions: ■ The first class of algorithms requires k-hop topology knowledge and relay depth k. Unlike prior algorithms, these algorithms do not flood the network, and each node does not need the full topology knowledge. We show how the convergence time and the message complexity of those algorithms is affected by k, providing the respective upper bounds. ■ The second set of algorithms requires only one-hop neighborhood knowledge, i.e., immediate incoming and outgoing neighbors, but needs to flood the network (i.e., relay depth is n, where n is the number of nodes). One result that may be of independent interest is a topology discovery mechanism to learn and “estimate” the topology in asynchronous directed networks with crash faults.
Publication Title
Leibniz International Proceedings in Informatics, LIPIcs
Publication Date
2019
Volume
125
ISSN
1868-8969
ISBN
9783959770989
DOI
10.4230/LIPIcs.OPODIS.2018.14
Keywords
asynchrony, consensus, crash, incomplete graphs, topology knowledge
Repository Citation
Sakavalas, Dimitris; Tseng, Lewis; and Vaidya, Nitin H., "Effects of topology knowledge and relay depth on asynchronous appoximate consensus" (2019). Computer Science. 142.
https://commons.clarku.edu/faculty_computer_sciences/142
APA Citation
Sakavalas, D., Tseng, L., & Vaidya, N. H. (2018). Effects of topology knowledge and relay depth on asynchronous appoximate consensus. In 22nd International Conference on Principles of Distributed Systems (OPODIS 2018). Schloss Dagstuhl-Leibniz-Zentrum fuer Informatik.
Creative Commons License
This work is licensed under a Creative Commons Attribution 3.0 License.
