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METHOD FOR TIGHTLY COUPLED SCALABLE BIG-DATA INTERACTION

机译:紧密耦合可缩放大数据交互的方法

摘要

Provided is a method for tightly coupled scalable big-data interaction; by means of constructing a distributed tightly coupled client driver layer and while ensuring consistency, single point failure of a client or server is avoided and the communication overhead between clients is reduced, causing a system to have near-linear scalability when based on metadata query class, satisfying the requirements of online high concurrency interaction and analysis. The described method ensures data read/write consistency; although delays occur with a read operation alone, the consistency in the order of read versions is ensured. When it is necessary to read the newest version, a data synchronization process may be executed proactively. Moreover, the method has good fault tolerance; as long as the number of failed nodes is less than half of the number of nodes, the read/write data of the other nodes is not affected; after a node responds, only one successful read/write operation is needed in order for synchronization to take place.
机译:提供了一种紧密耦合可伸缩大数据交互的方法。通过构造分布式紧密耦合的客户端驱动程序层并确保一致性,可以避免客户端或服务器的单点故障,并减少客户端之间的通信开销,从而在基于元数据查询类时系统具有接近线性的可伸缩性,满足在线高并发交互和分析的要求。所描述的方法确保数据读/写一致性;尽管仅读取操作会发生延迟,但是可以确保读取版本顺序的一致性。当需要读取最新版本时,可以主动执行数据同步过程。此外,该方法具有良好的容错性。只要故障节点的数量小于节点数量的一半,其他节点的读/写数据就不会受到影响;节点响应后,只需进行一次成功的读/写操作即可进行同步。

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