TY - GEN
T1 - Distributed verification of minimum spanning trees
AU - Korman, Amos
AU - Kutten, Shay
PY - 2006
Y1 - 2006
N2 - The problem of verifying a Minimum Spanning Tree (MST) was introduced by Tarjan in a sequential setting. Given a graph and a tree that spans it, the algorithm is required to check whether this tree is an MST. This paper investigates the problem in the distributed setting, where the input is given in a distributed manner, i.e., every node "knows" which of its own emanating edges belong to the tree. Informally, the distributed MST verification problem is the following. Label the vertices of the graph in such a way that for every node, given its own label and the labels of its neighbors only, the node can detect whether these edges are indeed its MST edges. In this paper we present such a verification scheme with a maximum label size of O(log n log W), where n is the number of nodes and W is the largest weight of an edge. We also give a matching lower bound of Ω(log n log W) (except when W ≤ log n). Both our bounds improve previously known bounds for the problem. For the related problem of tree sensitivity also presented by Tarjan, our method yields rather efficient schemes for both the distributed and the sequential settings. Our techniques (both for the lower bound and for the upper bound) may indicate a strong relation between the fields of proof labeling schemes and implicit labeling schemes.
AB - The problem of verifying a Minimum Spanning Tree (MST) was introduced by Tarjan in a sequential setting. Given a graph and a tree that spans it, the algorithm is required to check whether this tree is an MST. This paper investigates the problem in the distributed setting, where the input is given in a distributed manner, i.e., every node "knows" which of its own emanating edges belong to the tree. Informally, the distributed MST verification problem is the following. Label the vertices of the graph in such a way that for every node, given its own label and the labels of its neighbors only, the node can detect whether these edges are indeed its MST edges. In this paper we present such a verification scheme with a maximum label size of O(log n log W), where n is the number of nodes and W is the largest weight of an edge. We also give a matching lower bound of Ω(log n log W) (except when W ≤ log n). Both our bounds improve previously known bounds for the problem. For the related problem of tree sensitivity also presented by Tarjan, our method yields rather efficient schemes for both the distributed and the sequential settings. Our techniques (both for the lower bound and for the upper bound) may indicate a strong relation between the fields of proof labeling schemes and implicit labeling schemes.
KW - Distributed algorithms
KW - Graph property verification
KW - Labeling schemes
KW - Minimum Spanning Tree
KW - Network algorithms
KW - Proof labeling
KW - Self stabilization
UR - http://www.scopus.com/inward/record.url?scp=33748706344&partnerID=8YFLogxK
U2 - 10.1145/1146381.1146389
DO - 10.1145/1146381.1146389
M3 - Conference contribution
AN - SCOPUS:33748706344
SN - 1595933840
SN - 9781595933843
T3 - Proceedings of the Annual ACM Symposium on Principles of Distributed Computing
SP - 26
EP - 34
BT - Proceedings of the 25th Annual ACM Symposium on Principles of Distributed Computing 2006
PB - Association for Computing Machinery (ACM)
T2 - 25th Annual ACM Symposium on Principles of Distributed Computing 2006
Y2 - 23 July 2006 through 26 July 2006
ER -