Achieving Scalable Cluster System Analysis and Management with a Gossip-Based Network Service
LCN '01 Proceedings of the 26th Annual IEEE Conference on Local Computer Networks
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Gossip protocols and services provide a means bywhich failures can be detected in large, distributed systemsin an asynchronous manner without the limits associatedwith reliable multicasting for group communications.Gossiping with consensus can take place throughout thesystem via a flat structure, or it can be hierarchicallydistributed across cooperating layers of nodes. In thispaper, the performance of flat and layered protocols isanalyzed on an experimental testbed in terms of consensustime and scalability. Performance associated with layeredgossip is analyzed with varying group sizes and is shownto scale well in a heterogeneous environment.