针对现有Dynamo式云存储架构中,节点间全局状态表一致性维护算法收敛时间长、通信代价高的问题,文中提出了一种基于种子节点的Gossip(GossipBasedonSeednodes,GBS)算法。该算法采用分层思想,将节点分为种子节点层和普通节点层,通过分层,缩小了Gossip传播随机域,减少收敛时间；通过普通节点定期向随机的种子节点报告策略,解决了Gossip传播后期由于随机带来的大量重复交互问题。通过仿真实验,证明了GBS算法在降低收敛时间的同时,有效地降低了通信开销,提高了维护效率,具有很高的稳定性和可靠性。%In existing Dynamo cloud storage architecture system,the consistency maintenance algorithm of the global state table between nodes needs a long convergence time and high communication cost. To solve this problem,propose a GBS ( Gossip Based on Seed nodes) algorithm. This algorithm uses hierarchical thinking to divide nodes into a seed node layer and ordinary node layer,which shrinks the Gos-sip spread random field and reduces the maintenance convergence time. Nodes use regularly report to random seed nodes on strategies to solve the random repeated interaction problems of the late of Gossip spread. The simulation experiments show that the GBS algorithm can effectively reduce the maintenance convergence time and communication cost of the state table,improve the maintenance efficiency,and have a high reliability and stability.
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