摘要
为了能在分布式环境下使用Fib Js开发出持续高可用性的服务,并能保证分布式环境下的数据一致性,研究了分布式系统中的一致性问题。分析了分布式一致性算法Paxos,研究了该算法的工作原理,并对该算法进行了优化。根据算法思想设计了一种适应于分布式环境下的数据一致性的方案,采用Fib Js对该方案进行了实现,并在集群环境下对该方案进行了检验。验证结果表明,该方案能够很好的解决分布式环境下数据一致性问题。
In order to use FibJs to develop a continuous high availability service in distributed environment and to ensure the consensus of data in the environment, this paper studies the consensus problem in distributed systems. The distributed consensus algorithm Paxos is analyzed; the working principle of the algorithm is studied and then is optimized. According to the idea of the algorithm, a data consensus scheme adapted to the distributed environment is designed; the scheme is implemented by using FibJs and has been verified in a cluster environment. The verification results show that the proposed scheme can solve the consensus problem in distributed environment.
出处
《计算机时代》
2015年第12期13-17,共5页
Computer Era
