电信大数据:现状与未来方向

Constantinos Costa, D. Zeinalipour-Yazti
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引用次数: 8

摘要

传统上,电信公司(Telco)仅被视为提供电信服务的实体,例如向用户提供电话和数据通信访问。然而,这些实体的无线电和骨干基础设施遍布最密集的城市空间和最广泛的农村地区,如今为收集大量数据提供了独特的机会,这些数据可以持续捕捉各种自然现象,例如交通、商业和移动模式以及用户服务体验。在可容忍的时间内对生成的大数据进行分析,并与关键的智慧城市推动者(例如,市政当局、公共服务、初创公司、当局和公司)共享数据的能力,提升了电信公司在未来智慧城市领域中的角色,从纯粹的网络接入提供商提升为信息提供商。在本次演讲中,我们将通过关注一组基本原则来概述电信大数据分析的最新技术,即:(i)实时分析和检测;(ii)体验、行为和留存分析;(3)隐私;(四)存储。我们还介绍了开发这种创新架构的经验,并总结了开放的问题和未来的方向。
本文章由计算机程序翻译,如有差异,请以英文原文为准。
Telco Big Data: Current State & Future Directions
A Telecommunication company (Telco) is traditionally only perceived as the entity that provides telecommunication services, such as telephony and data communication access to users. However, the radio and backbone infrastructure of such entities spanning densely most urban spaces and widely most rural areas, provides nowadays a unique opportunity to collect immense amounts of data that capture a variety of natural phenomena on an ongoing basis, e.g., traffic, commerce and mobility patterns and user service experience. The ability to perform analytics on the generated big data within tolerable elapsed time and share it with key smart city enablers (e.g., municipalities, public services, startups, authorities, and companies), elevates the role of Telcos in the realm of future smart cities from pure network access providers to information providers. In this talk, we overview the state-of-the-art in Telco big data analytics by focusing on a set of basic principles, namely: (i) real-time analytics and detection; (ii) experience, behavior and retention analytics; (iii) privacy; and (iv) storage. We also present experiences from developing an innovative such architecture and conclude with open problems and future directions.
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