摘要
云计算下非结构化大数据存储系统具有明显的可行性,需要具备高效可靠、在线弹性伸缩的特点,能够满足高吞吐并发访问的需求,还需要具有智能管理能力,实现日常维护、安全管理。笔者提出非结构化数据处理是数据存储系统优化策略,提出基于属性向量的统一数据模型,引入基于热度的负载均衡算法改进算法,将这一算法应用于数据的存储中,并进行并行化处理,可以提高数据的存储效率。
The unstructured big data storage system under cloud computing has obvious feasibility.It needs efficient and reliable,online elastic scaling,which can meet the requirements of high throughput and concurrent access.It also needs intelligent management capability to meet daily maintenance and security management.The author proposes that unstructured data processing is the optimization strategy of data storage system.A unified data model based on attribute vector is proposed,and an improved algorithm based on the load balancing algorithm based on heat is introduced.This algorithm is applied to data storage and parallel processing,which can improve the storage efficiency of data.
作者
何燕燕
He Yanyan(Jiangsu vocational College of Business,Nantong Jiangsu 226000,China)
出处
《信息与电脑》
2018年第16期54-55,共2页
Information & Computer
关键词
云计算
非结构化
大数据
存储系统
cloud computing
unstructured
big data
storage system
