Stock Cloud Computing Platform:Architecture and Prototype Systems
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The Challenge of Big Data leads to a great interests in Cloud Computing in both research and industry. Many Cloud Platforms have been proposed and implemented in various applications, however, there are few works focusing on designing integrated platforms from a data driven perspective for stock market. In this paper, we propose a cloud platform for stock market with four-tier architectures that introduces Infrastructure as a Service(IaaS),Data as a Service(DaaS),Platform as a Service(PaaS) and Software as a Service(SaaS). The proposed cloud platform integrates big data processing, data mining, and cloud computing technologies, and can provide high-performance computing and s data service as well. Finally, a case study on market surveillance in stock market validates the effectiveness and efficiency of the proposed prototype systems.
Keywordsbig data stock cloud computing platform architecture
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