作 者: (王晓斌); (卢福军); (孙挺); (闫萌); (马忠义);
机构地区: 中国联合网络通信有限公司山西省分公司,太原030006
出 处: 《信息通信技术》 2017年第4期47-52,共6页
摘 要: 大数据环境下迭代计算是近年来的研究热点,而迭代计算则是分析大数据的重要工具。文章综述迭代计算的现有研究,提出迭代计算在金融大数据领域的应用。阐述迭代计算模型和计算框架可以运用到实际应用领域,优化算法的执行过程,缩短算法的执行时间,对于大数据的应用具有积极的指导和实践意义。 Iterative computing in big data environment is a hot research topic in recent years, and it is also an important tool for analyzing big data. This paper reviews the existing researches on iterative computing and proposes the applications of iterative computing in the area of fnancial big data. The paper shows that the iterative computing model and framework can be applied to practical applications well, the optimizations on algorithm implementation can improve the iterative performance well. The paper has positive guiding and practical signifcance for the application of big data.