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Improving Gossip Dynamics Through Overlapping Replicates
Conference proceeding   Peer reviewed

Improving Gossip Dynamics Through Overlapping Replicates

Danilo Pianini, Jacob Beal and Mirko Viroli
COORDINATION MODELS AND LANGUAGES, Vol.9686, pp.192-207
Lecture Notes in Computer Science
01/01/2016
DOI: 10.1007/978-3-319-39519-7_12
url
https://inria.hal.science/hal-01631721View
Open Access

Abstract

Gossip protocols are a fast and effective strategy for computing a wide class of aggregate functions involving coordination of large sets of nodes. The monotonic nature of gossip protocols, however, mean that they can typically only adjust their estimate in one direction unless restarted, which disrupts the values being returned. We propose to improve the dynamical performance of gossip by running multiple replicates of a gossip algorithm, overlapping in time. We find that this approach can significantly reduce the error of aggregate function estimates compared to both typical gossip implementations and tree-based estimation functions.
Computer Science Computer Science, Software Engineering Computer Science, Theory & Methods Science & Technology Technology

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