TY - GEN
T1 - Strong robustness of randomized rumor spreading protocols
AU - Doerr, Benjamin
AU - Huber, Anna
AU - Levavi, Ariel
PY - 2009/12/1
Y1 - 2009/12/1
N2 - Randomized rumor spreading is a classic protocol to disseminate information in a network. At SODA 2008, a quasirandom version of this protocol was proposed and competitive bounds for its run-time were proven. This prompts the question: to what extent does the quasirandom protocol inherit the second principal advantage of randomized rumor spreading, namely robustness against transmission failures? A tentative solution was proposed at ICALP 2009 where it was demonstrated that if each transmission reaches its destination with a probability of p (0,1], the run-time increases by a factor of approximately 4/p. In this paper, we follow up on this research and provide a result precise up to (1 ±o(1)) factors. We limit ourselves to the network in which every two vertices are connected by a direct link. Run-times accurate to their leading constants are unknown for all other non-trivial networks. For networks on n nodes, we show that after rounds, the quasirandom protocol with probability 1-n -c(ε, p) has informed all nodes in the network. Note that this is faster than the intuitively natural 1/p factor increase over the run-time of approximately log2 n+ln n for the non-corrupted case. We also provide a corresponding lower bound for the classical model. This demonstrates that the quasirandom model is at least as robust as the fully random model despite the greatly reduced degree of independent randomness.
AB - Randomized rumor spreading is a classic protocol to disseminate information in a network. At SODA 2008, a quasirandom version of this protocol was proposed and competitive bounds for its run-time were proven. This prompts the question: to what extent does the quasirandom protocol inherit the second principal advantage of randomized rumor spreading, namely robustness against transmission failures? A tentative solution was proposed at ICALP 2009 where it was demonstrated that if each transmission reaches its destination with a probability of p (0,1], the run-time increases by a factor of approximately 4/p. In this paper, we follow up on this research and provide a result precise up to (1 ±o(1)) factors. We limit ourselves to the network in which every two vertices are connected by a direct link. Run-times accurate to their leading constants are unknown for all other non-trivial networks. For networks on n nodes, we show that after rounds, the quasirandom protocol with probability 1-n -c(ε, p) has informed all nodes in the network. Note that this is faster than the intuitively natural 1/p factor increase over the run-time of approximately log2 n+ln n for the non-corrupted case. We also provide a corresponding lower bound for the classical model. This demonstrates that the quasirandom model is at least as robust as the fully random model despite the greatly reduced degree of independent randomness.
UR - https://www.scopus.com/pages/publications/75649123459
U2 - 10.1007/978-3-642-10631-6_82
DO - 10.1007/978-3-642-10631-6_82
M3 - Conference contribution
AN - SCOPUS:75649123459
SN - 3642106307
SN - 9783642106309
T3 - Lecture Notes in Computer Science (including subseries Lecture Notes in Artificial Intelligence and Lecture Notes in Bioinformatics)
SP - 812
EP - 821
BT - Algorithms and Computation - 20th International Symposium, ISAAC 2009, Proceedings
T2 - 20th International Symposium on Algorithms and Computation, ISAAC 2009
Y2 - 16 December 2009 through 18 December 2009
ER -