Federated cloud-based big data platform in telecommunications

Authors:
Chao Deng;Ling Qian;Meng Xu;Yujian Du;Zhiguo Luo;Shaoling Sun
Affiliations:
China Mobile Research Institute, Beijing, China;China Mobile Research Institute, Beijing, China;China Mobile Research Institute, Beijing, China;China Mobile Research Institute, Beijing, China;China Mobile Research Institute, Beijing, China;China Mobile Research Institute, Beijing, China
Venue:
Proceedings of the 2012 workshop on Cloud services, federation, and the 8th open cirrus summit
Year:
2012

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Abstract

China Mobile is the biggest telecommunication operator in the world, with more than 600 million customers and an ever increasing information technology (IT). To provide better service to 600 million customers and reduce the cost of IT systems, China Mobile adopted a centralized IT strategy based on cloud computing. The big data issue becomes the most significant challenge to the cloud computing based China Mobile IT structure. This paper presents the China Mobile's big data platform based on the cloud. This platform integrates the big data storage, the development and deployment of big data ETL (Extract, Transfer, Load) and DM (Data Mining) into a unified framework. This big data analysis platform can effectively support the analytical tasks in telecommunications, but it can also help China Mobile provide public cloud computing service. In this paper, we introduce the detailed architecture of China Mobile's platform and discuss its performance.