面向科学大数据的云计算平台构建研究

Construction of Cloud Computing Platform Facing Scientific Big Data ——a Case of Southeast University

云计算与大数据是目前商业界和政府部门研究的热点问题，同时学术界也对大数据与云计算在科学研究中的应用开展了大量研究。大数据包括体量、多样性、价值和速度四方面特点；云计算包括弹性服务、资源池化、按需服务、服务可计费和泛在接入等五方面特点。两者之间是一种相互依存的关系。当前科学研究面临着大数据的众多挑战，云计算平台构建就成为解决之道。文章以东南大学参与的AMS实验项目为例，介绍了面向科学大数据的云计算平台构建。

Cloud computing and big data are hot topics in business community and government researches. And the academia circle has already conducted extensive researches on the application of cloud computing and big data in scientific researches. Big data are featured with: volume， variety， value and velocity. And cloud computing is featured with: flexible service， resource pooling， on-demand service， service charge and ubiquitous access. It is a relationship of interdependence between big data and cloud computing. Current researches are faced with many challenges of large data， and to build cloud computing platform is the very solution. This paper takes AMS experiment as example， and gives an introduction to the construction of cloud computing platform for scientific big data.