摘要
在科技迅猛发展的背景下,4G在我们的日常生活中应用得越发广泛,甚至在部分地区已经实现了5G信号全覆盖。实际问题也接踵而至,当前所采用的数据分析法性能略显不足,不能满足大批量电信数据的处理要求,于是人们将侧重点放在新型云计算平台的设计与实现上。Hadoop作为开源框架,除了具备大规模分布式计算能力,还拥有较强的可伸缩性。基于此种条件,设计了一款海量电信数据云计算平台,并通过仿真测试证明了其拥有可行性,可以大幅度提升海量电信数据的分析及处理速度。
In the context of rapid technological development,4G has become more and more widely used in daily lives,and even 5G signal coverage has been achieved in some areas.Practical problems have also followed.The current data analysis methods are slightly insufficient in performance,and cannot meet the processing requirements of large quantities of telecommunication data.Therefore,people focus on the design and implementation of new cloud computing platforms.As an open source framework,Hadoop has strong scalability in addition to large-scale distributed computing capabilities.Based on this condition,a massive telecom data cloud computing platform was designed,and its feasibility was proved through simulation tests,which can greatly improve the analysis and processing speed of massive telecom data.
作者
郭拴岐
GUO Shuanqi(Department of Information Technology,Shanxi Police College,Xi’an 710021,China)
出处
《微型电脑应用》
2021年第5期174-176,共3页
Microcomputer Applications
关键词
HADOOP
海量电信数据
云计算平台
仿真实验
Hadoop
massive telecommunication data
cloud computing platform
simulation experiments