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Nevertheless, to our knowledge, all existing distributed algorithms for orthogonalizing a set of vectors are based on the gossip-based push-sum algorithm [16, 24].
The scalability of gossip-based protocols comes from the fact that each node takes individual decisions based only on a local knowledge of the system, while still allowing the whole system to eventually converge towards a desired state.
The variance reduction algorithm applied in gossip-based aggregation (Jelasity et al. 2005) requires gossiping communication between peers in a network.
Finally, it is also possible to implement gossip-based multicast[42] by using membership protocols that manage the gossiping strategy, more specifically the nodes to whom gossip messages are sent.
Based on the proposed metrics and parameters, the performance of the gossip-based dissemination or search schemes, as well as the impact of the design parameters, are evaluated.
Protocols and Impossibility Results for Gossip-Based Communication Mechanisms.
Gossip-based multicast protocols appear to be a viable path towards providing multicast reliability guarantees.
We propose a solution that does not require location information yet aimed at better efficiency than the gossip-based approach.
This paper presents a rigorous analytic study of gossip-based message dissemination schemes that can be employed for content/service dissemination or discovery in unstructured and distributed networks.
We combine the efficiency of gossip-based disemination protocol with the log-based reliable multicast protocol to build a high performance mechanism for a publisher/subscriber system.
This paper presents an asynchronous gossip-based algorithm for finding a Nash equilibrium (NE) of a game in a distributed multi-player network.
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