A simple parallel algorithm for the maximal independent set problem
STOC '85 Proceedings of the seventeenth annual ACM symposium on Theory of computing
Network reliability and algebraic structures
Network reliability and algebraic structures
A reliability model applied to emergency service vehicle location
Operations Research
Theoretical Computer Science
A fast parallel algorithm for thinning digital patterns
Communications of the ACM
The Combinatorics of Network Reliability
The Combinatorics of Network Reliability
Scalability of Parallel Algorithm-Machine Combinations
IEEE Transactions on Parallel and Distributed Systems
Parallel algorithms for global optimization problems
Solving Combinatorial Optimization Problems in Parallel - Methods and Techniques
Graph Theory With Applications
Graph Theory With Applications
Computing the Most Reliable Source on Stochastic Ring Networks
WCSE '09 Proceedings of the 2009 WRI World Congress on Software Engineering - Volume 01
A linear time algorithm for computing a most reliable source on a tree network with faulty nodes
Theoretical Computer Science
COCOA'10 Proceedings of the 4th international conference on Combinatorial optimization and applications - Volume Part II
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Given an unreliable communication network, we aim to find a most reliable source (MRS) on the network, which maximizes the expected number of nodes that are reachable from it. Although the problem of finding an MRS on general graphs is #P-hard, it is tractable in several types of sparse graphs. The ring-tree graph is such a kind of sparse graph that not only has the capability of failure tolerance but also holds an underlying tree topology which facilitates network administration. In this paper, we are concerned with unreliable general ring-tree graphs in which each edge has an independent operational probability while all nodes are immune to failures. We first design a complementary dynamic programming algorithm and then develop a parallel algorithm based on the underlying tree for finding an MRS on the network.