TY - GEN
T1 - Asynchronous and fully self-stabilizing time-adaptive majority consensus
AU - Burman, Janna
AU - Herman, Ted
AU - Kutten, Shay
AU - Patt-Shamir, Boaz
PY - 2006
Y1 - 2006
N2 - We study the scenario where a batch of transient faults hits an asynchronous distributed system by corrupting the state of some / nodes. We concentrate on the basic majority consensus problem, where nodes are required to agree on a common output value which is the input value of the majority of them. We give a fully self-stabilizing adaptive algorithm, i.e., the output value stabilizes in O(f) time at all nodes, for any unknown f. Moreover, a state stabilization occurs in time proportional to the (unknown) diameter of the network. Both upper bounds match known lower bounds to within a constant factor. Previous results (stated for a slightly less general problem called "persistent bit") assumed the synchronous network model, and that f < n/2.
AB - We study the scenario where a batch of transient faults hits an asynchronous distributed system by corrupting the state of some / nodes. We concentrate on the basic majority consensus problem, where nodes are required to agree on a common output value which is the input value of the majority of them. We give a fully self-stabilizing adaptive algorithm, i.e., the output value stabilizes in O(f) time at all nodes, for any unknown f. Moreover, a state stabilization occurs in time proportional to the (unknown) diameter of the network. Both upper bounds match known lower bounds to within a constant factor. Previous results (stated for a slightly less general problem called "persistent bit") assumed the synchronous network model, and that f < n/2.
UR - http://www.scopus.com/inward/record.url?scp=84870850598&partnerID=8YFLogxK
U2 - 10.1007/11795490_13
DO - 10.1007/11795490_13
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AN - SCOPUS:84870850598
SN - 3540363211
SN - 9783540363217
T3 - Lecture Notes in Computer Science (including subseries Lecture Notes in Artificial Intelligence and Lecture Notes in Bioinformatics)
SP - 146
EP - 160
BT - Principles of Distributed Systems - 9th International Conference, OPODIS 2005, Revised Selected Papers
T2 - 9th International Conference on Principles of Distributed Systems, OPODIS 2005
Y2 - 12 December 2005 through 14 December 2005
ER -