Stock Cloud Computing Platform:Architecture and Prototype Systems

Autor:	Bai Shuo, Jianfeng Wu, Xiongxiong Zhang, Lin Lili, Jing Sun, Li Xue, Xue Bai
Rok vydání:	2013
Předmět:	Database business.industry Computer science Distributed computing Software as a service Big data Cloud computing computer.software_genre Data-driven Cloud testing Stock market Data as a service Architecture business computer
Zdroj:	Web-Age Information Management ISBN: 9783642395260 WAIM Workshops
Popis:	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.
Databáze:	OpenAIRE
Externí odkaz:	https://explore.openaire.eu/search/publication?articleId=doi_________::a039992a932a60454ebad7a155e2a252 https://doi.org/10.1007/978-3-642-39527-7_35 Zobrazit plný text záznamu