面向云计算的键值型分布式存储系统研究

 对于数据密集型的云计算应用,基于磁盘的存储系统很难同时满足它们对性能与可用性的需求.本文提出了一种以内存为主设备、以磁盘为辅助设备的键值型分布式存储系统M-Cloud,能提供大数据读写、备份及恢复等存储服务功能.M-Cloud通过将数据全部装入服务器集群内存中的方式提高系统整体性能,并设计了分区线性哈希算法以实现负载均衡和高扩展性,设计了相应的数据备份与故障快速恢复策略以保证系统可靠性.仿真实验结果表明,M-Cloud具有较高的性能与可用性,对系统进一步改进和优化后具有应用于实际生产环境中的潜力,可为用户提供高质量的存储服务.

Study on the Key-Value Distributed Storage System for Cloud Computing

In view of data intensive cloud computing applications,disk-based storage systems are difficult to meet their demand for performance and availability simultaneously.This paper puts forward a key-value distributed storage system named M-Cloud,which uses memory as main device and disk as auxiliary when providing storage services(read,write,backup and recovery)for big data.M-Cloud improves overall system performance by loading entire data in the memory of the cluster,and designs PBLH(partition-based linear hashing) algorithm to achieve load balancing and high scalability.M-Cloud also designs relative backup and fast crash recovery strategy in order to ensure high system reliability.The simulation results show that M-Cloud has high performance and availability,with further optimization,the system has the potential in real production environment usage,can provide users with high-quality storage services.