Towards adopting Big Data technologies by mobile networks operators: A Moroccan case study

Houda Daki, A. El Hannani, Abdelhak Aqqal, A. Haidine, A. Dahbi, H. Ouahmane
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引用次数: 6

Abstract

Big Data is the term for large and complex data sets that are difficult to treat using traditional management tools. Nowadays, Big Data has an important role in different industries. This huge quantity of datasets can be a great opportunity to help many organizations to understand quantified results better, improve their decisions and be able to make predictive actions to generate more revenues. Many networking infrastructures relay on Big Data applications to make daily activities smarter and faster. In this paper we present the case of a Moroccan operator which migrated from a manual reporting process to a fully automated one in order to have high interactivity, optimal management and great vision on their networks performance indicators. Furthermore, we discuss Big Data opportunities for the mobile network operators (MNO) and propose a Big Data architecture that may be adopted by the Moroccan MNO to overcome the limits of the traditional technologies used in the automatic reporting system.
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移动网络运营商采用大数据技术:摩洛哥案例研究
大数据是指难以使用传统管理工具处理的大型复杂数据集。如今,大数据在不同的行业都扮演着重要的角色。大量的数据集是一个很好的机会,可以帮助许多组织更好地理解量化结果,改进他们的决策,并能够做出预测行动,以产生更多的收入。许多网络基础设施依赖于大数据应用,使日常活动更智能、更快捷。在本文中,我们介绍了摩洛哥运营商的案例,该运营商从手动报告流程迁移到完全自动化的流程,以便在其网络性能指标上具有高交互性,最佳管理和伟大的愿景。此外,我们讨论了移动网络运营商(MNO)的大数据机会,并提出了一种大数据架构,摩洛哥MNO可以采用该架构来克服自动报告系统中使用的传统技术的局限性。
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