STOC '87 Proceedings of the nineteenth annual ACM symposium on Theory of computing
Time-optimal leader election in general networks
Journal of Parallel and Distributed Computing
A SubLinear Time Distributed Algorithm for Minimum-Weight Spanning Trees
SIAM Journal on Computing
Fast distributed construction of small k-dominating sets and applications
Journal of Algorithms
A Distributed Algorithm for Minimum-Weight Spanning Trees
ACM Transactions on Programming Languages and Systems (TOPLAS)
Distributive graph algorithms Global solutions from local data
SFCS '87 Proceedings of the 28th Annual Symposium on Foundations of Computer Science
A faster distributed protocol for constructing a minimum spanning tree
SODA '04 Proceedings of the fifteenth annual ACM-SIAM symposium on Discrete algorithms
STOC '04 Proceedings of the thirty-sixth annual ACM symposium on Theory of computing
Distributed approximation: a survey
ACM SIGACT News
A faster distributed protocol for constructing a minimum spanning tree
Journal of Computer and System Sciences
Local MST computation with short advice
Proceedings of the nineteenth annual ACM symposium on Parallel algorithms and architectures
Efficient distributed approximation algorithms via probabilistic tree embeddings
Proceedings of the twenty-seventh ACM symposium on Principles of distributed computing
Theory of communication networks
Algorithms and theory of computation handbook
Tight bounds for parallel randomized load balancing: extended abstract
Proceedings of the forty-third annual ACM symposium on Theory of computing
The Journal of Supercomputing
A fast distributed approximation algorithm for minimum spanning trees
DISC'06 Proceedings of the 20th international conference on Distributed Computing
Hi-index | 0.00 |
This paper presents a lower bound of \math\math on the time required for the distributed construction of a minimum-weight spanning tree (MST) in n-vertex networks of diameter \math, in the bounded message model. This establishes the asymptotic near-optimality of existing time-efficient distributed algorithms for the problem, whose complexity is \math.