The power of memory in randomized broadcasting
Proceedings of the nineteenth annual ACM-SIAM symposium on Discrete algorithms
Building resilient low-diameter peer-to-peer topologies
Computer Networks: The International Journal of Computer and Telecommunications Networking
Proceedings of the twenty-seventh ACM symposium on Principles of distributed computing
The flip markov chain and a randomising P2P protocol
Proceedings of the 28th ACM symposium on Principles of distributed computing
Generating constrained random graphs using multiple edge switches
Journal of Experimental Algorithmics (JEA)
Physical expander in virtual tree overlay
DISC'11 Proceedings of the 25th international conference on Distributed computing
Correctness of Gossip-Based Membership under Message Loss
SIAM Journal on Computing
Proceedings of the twenty-second annual ACM-SIAM symposium on Discrete Algorithms
PODC '12 Proceedings of the 2012 ACM symposium on Principles of distributed computing
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We study a switch Markov chain on regular graphs, where switches are allowed only between links that are at distance 2; we call this the Flip. The motivation for studying the Flip Markov chain arises in the context of unstructured peer-to-peer networks, which constantly perform such flips in an effort to randomize. We show that the Flip Markov chain on regular graphs is rapidly mixing, thus justifying this widely used peer-topeer networking practice. Our mixing argument uses the Markov chain comparison technique. In particular, we extend this technique to embedding arguments where the compared Markov chains are defined on different state spaces. We give several conditions which generalize our results beyond regular graphs.