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

SUN Yong; LIN Fei; WANG Bao-jun

doi:10.3969/j.issn.0372-2112.2013.07.025

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

更新时间：2025-07-16

- Study on the Key-Value Distributed Storage System for Cloud Computing
- Acta Electronica Sinica Vol. 41, Issue 7, Pages: 1406-1411(2013)
- 作者机构：
  
  1. 浙江交通职业技术学院信息学院,浙江,杭州,311112
  2. 杭州电子科技大学软件工程学院,浙江,杭州,310018
  3. 浙江交通职业技术学院信息学院,浙江,杭州,311112
  4. 杭州电子科技大学软件工程学院,浙江,杭州,310018
- 作者简介：
- 基金信息：
- DOI：10.3969/j.issn.0372-2112.2013.07.025
  CLC： TP302
- Published：2013
- 稿件说明：
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SUN Yong, LIN Fei, WANG Bao-jun. Study on the Key-Value Distributed Storage System for Cloud Computing[J]. Acta Electronica Sinica, 2013, 41(7): 1406-1411.
DOI：

SUN Yong, LIN Fei, WANG Bao-jun. Study on the Key-Value Distributed Storage System for Cloud Computing[J]. Acta Electronica Sinica, 2013, 41(7): 1406-1411. DOI： 10.3969/j.issn.0372-2112.2013.07.025.

摘要

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.

Abstract

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.

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