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T. Hoefler, A. Barak, A. Shiloh and Z. Drezner:
| | Corrected Gossip Algorithms for Fast Reliable Broadcast on Unreliable Systems
(In Proceedings of the 31st IEEE International Parallel & Distributed Processing Symposium (IPDPS'17), presented in Orlando, FL, USA, IEEE, May 2017)
AbstractLarge-scale parallel programming environments
and algorithms require efficient group communication on computing systems with failing nodes. Existing reliable broadcast
algorithms either cannot guarantee that all nodes are reached
or they are very expensive in terms of number of messages
and latency. We propose Corrected Gossip, an algorithm that
combines Monte Carlo style gossiping with a deterministic
correction phase to construct a Las Vegas style reliable
broadcast that guarantees to reach all nodes at low cost. We
analyze its performance both analytically and using Monte
Carlo simulations and we show how our algorithm reduces
the latency and network load compared to existing algorithms.
Our algorithms improve the latency by 20% and the network
load by 53% compared to the fastest known algorithm on
4,096 nodes. We believe that the principle of corrected gossip
opens an avenue for many other reliable group communication
operations.
Documentsdownload article:  download slides:  | | BibTeX | @inproceedings{corrected-gossip, author={T. Hoefler and A. Barak and A. Shiloh and Z. Drezner}, title={{Corrected Gossip Algorithms for Fast Reliable Broadcast on Unreliable Systems}}, year={2017}, month={May}, booktitle={Proceedings of the 31st IEEE International Parallel \& Distributed Processing Symposium (IPDPS'17)}, location={Orlando, FL, USA}, publisher={IEEE}, source={http://www.unixer.de/~htor/publications/}, } |
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