摘要
基于云计算的数据管理与存储,其特点主要有动态、分布式、异构等,对数据处理系统的研发带来了一定的困难.针对此问题,从协同计算模型的分析入手,提出一种分布式数据协同处理机制,主要研究了数据协同管理以及任务协同调度,并以实际案例进行论证.结果表明:基于云计算的分布式数据协同处理机制有效提升了并行数据的处理能力,是一种可行的云计算数据处理的思路与方法.
The data management and storage based on cloud computing, its main features are dynamic, distributed, heterogeneous, brings some difficulties to develop the data processing system. Aiming at this problem, from the analysis of collaborative computing model, the distributed data collaboration processing mechanism put forward, and the data collaborative management and task scheduling are analyzed, and dem- onstrated based on the real cases. The results show that: the distributed data coordination processing mech- anism based on cloud computing improves effectively the ability of parallel data processing, and is a feasible thinking and method of cloud computing data processing.
出处
《湘潭大学自然科学学报》
CAS
北大核心
2013年第4期114-117,共4页
Natural Science Journal of Xiangtan University
基金
宁夏自然科学基金项目(NZ13050)
关键词
云计算
分布式数据
协同机制
数据处理
cloud computing
distributed data
coordination mechanisml data processing