云计算
大数据
计算机科学
数据科学
互联网
体积热力学
社会化媒体
过程(计算)
数字数据
万维网
数据挖掘
数据传输
操作系统
计算机网络
物理
量子力学
作者
Vinay Jain,Shishir Kumar
标识
DOI:10.1109/icacce.2015.112
摘要
Innovations in technology and greater affordability of digital devices with internet made a new global world of data called big data. The continuous increase in the volume and detail of data captured by enterprises, such as the rise of social media, Internet of Things (IoT), and multimedia, has produced an overwhelming flow of data in either structured or unstructured format. It is a fact that data that is too big to process is also too big to transfer anywhere, so it's just the analytical program which needs to be moved -- not the data. This is possible with cloud computing, as most of the public data sets such as Facebook, Twitter, financial markets data, weather data, genome datasets and aggregated industry-specific data live in the cloud and it becomes more cost-effective for the enterprise to analysis this data in the cloud itself. This paper discusses various problems related to big data computation and possible solution using cloud computing.
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