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|Title:||Meeting the deadline: On the complexity of fault-tolerant continuous gossip|
|Keywords:||Crashes and restarts|
Dynamic rumor injection
Random and expander graphs
|Source:||Georgiou, C.,Gilbert, S.,Kowalski, D.R. (2011). Meeting the deadline: On the complexity of fault-tolerant continuous gossip. Distributed Computing 24 (5) : 223-244. ScholarBank@NUS Repository. https://doi.org/10.1007/s00446-011-0144-6|
|Abstract:||In this paper we introduce the problem of Continuous Gossip in which rumors are continually and dynamically injected throughout the network. Each rumor has a deadline, and the goal of a continuous gossip protocol is to ensure good "Quality of Delivery," i.e., to deliver every rumor to every process before the deadline expires. Thus, a trivial solution to the problem of Continuous Gossip is simply for every process to broadcast every rumor as soon as it is injected. Unfortunately, this solution has high per-round message complexity. Complicating matters, we focus our attention on a highly dynamic network in which processes may continually crash and recover. In order to achieve good perround message complexity in a dynamic network, processes need to continually form and re-form coalitions that cooperate to spread their rumors throughout the network. The key challenge for a Continuous Gossip protocol is the ongoing adaptation to the ever-changing set of active rumors and noncrashed process. In this work we show how to address this challenge; we develop randomized and deterministic proto- cols for Continuous Gossip and prove lower bounds on the per-round message-complexity, indicating that our protocols are close to optimal. © Springer-Verlag 2011.|
|Source Title:||Distributed Computing|
|Appears in Collections:||Staff Publications|
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