Abstract
The application of gossip in NoSQL has a promising future and has significant academic value. By using gossip, a large storage system can be more scalable and stable with better fault-tolerance. This study takes Cassandra as an example to study the advantages of applying the gossip protocol in NoSQL by comparing with the conditions of using other protocols, such as Flooding algorithm and Structured Broadcast algorithm. To improve the efficiency and scalability when the size of individual gossip populations is limited, the author proposes a reconciliation mechanism named weighting. This study reveals that the gossip protocol in Cassandra contributes to linear scalability with limited individual gossip populations by implementing a simulation of gossip transmission rounds.
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