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Distributed Dynamic Cuckoo Filter System Based On Redis Cluster

机译:基于Redis集群的分布式动态Cuckoo滤波器系统

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With the exponential growth of network data storage scale, the issue of uniform distribution and efficient retrieval of data in the distributed storage systems such as the Redis cluster has received increasing attention in recent years. In view of the existing problems in scalability, usability and other aspects of the solution in the current research, we propose the Distributed Dynamic Cuckoo Filter system based on Redis cluster. On the one hand, we introduce an efficient hash index structure-Dynamic Cuckoo Filter, which only stores the fingerprint information of data, and automatically scalable capacity to meet the demand of data storage on a dynamic scale. On the other hand, we use the consistent hashing algorithm to construct Redis cluster, and use the thorough communication mechanism of Redis cluster to achieve the data sharing and efficient utilization of multi-machine filters. The scheme proposed in this paper can take the time and space efficiency into account, greatly improve the retrieval performance of massive data, and improve the reliability and availability of Redis cluster.
机译:随着网络数据存储量表的指数增长,近年来,诸如Redis集群之类的分布式存储系统中的统一分布和有效检索的数据的问题已得到越来越长的关注。鉴于现有的可伸缩性,可用性和解决方案的其他方面在当前研究中的其他方面,我们提出了基于Redis集群的分布式动态Cuckoo滤波器系统。一方面,我们介绍了一个高效的哈希索引结构 - 动态咕咕滤波器,它只存储数据的指纹信息,以及自动可扩展的容量,以满足动态刻度上的数据存储需求。另一方面,我们使用一致的散列算法来构建Redis集群,并使用Redis集群的彻底通信机制来实现多机滤波器的数据共享和高效利用。本文提出的方案可以考虑到时间和空间效率,大大提高了大规模数据的检索性能,提高了Redis集群的可靠性和可用性。

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