Cloud Computing Boosts Business Intelligence of Telecommunication Industry

Autor:	Chao Deng, Dan Gao, Shaoling Sun, Meng Xu, Zhiguo Luo
Rok vydání:	2009
Předmět:	business.industry Computer science Scale (chemistry) Business intelligence Scalability Usability Cloud computing business Telecommunications Data science
Zdroj:	Lecture Notes in Computer Science ISBN: 9783642106644 CloudCom
DOI:	10.1007/978-3-642-10665-1_20
Popis:	Business Intelligence becomes an attracting topic in today's data intensive applications, especially in telecommunication industry. Meanwhile, Cloud Computing providing IT supporting Infrastructure with excellent scalability, large scale storage, and high performance becomes an effective way to implement parallel data processing and data mining algorithms. BC-PDM (Big Cloud based Parallel Data Miner) is a new MapReduce based parallel data mining platform developed by CMRI (China Mobile Research Institute) to fit the urgent requirements of business intelligence in telecommunication industry. In this paper, the architecture, functionality and performance of BC-PDM are presented, together with the experimental evaluation and case studies of its applications. The evaluation result demonstrates both the usability and the cost-effectiveness of Cloud Computing based Business Intelligence system in applications of telecommunication industry.
Databáze:	OpenAIRE
Externí odkaz:	https://explore.openaire.eu/search/publication?articleId=doi_________::fa2f5ac880c78304f618f48a85d288cc https://doi.org/10.1007/978-3-642-10665-1_20 Zobrazit plný text záznamu