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Analysis of Big Data and Quality-of-Experience in High-Density Wireless Network

机译:高密度无线网络中的大数据和体验质量分析

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The proliferation of smart devices, along with the availability of bandwidth-intensive applications are generating huge volumes of data that create challenges to IT industries. Data handling becomes more troublesome when mobile user's gather in tens and thousands of quantity at confine locations and generates Big Data. Analysis and storing of this huge, varied and complex data put great challenges to the Network Service Providers (NSP). Thus, service providers are facing problems in managing big data in dense environment and maintaining user's Quality of Experience (QoE). However, big data also provide great opportunities to NSP. The accurate analysis of big data in real-time reveals the user experience of network services which helps the service providers to take timely action to improve user QoE. Thus, this paper presents an overview of Big Data and QoE in High-Density Wireless Network (HDWN) environment.
机译:智能设备的激增以及带宽密集型应用程序的可用性正在产生大量数据,这给IT行业带来了挑战。当移动用户在有限的位置聚集成千上万的数据并生成大数据时,数据处理将变得更加麻烦。分析和存储这些庞大,多样和复杂的数据给网络服务提供商(NSP)带来了巨大挑战。因此,服务提供商面临着在密集环境中管理大数据以及维持用户的体验质量(QoE)的问题。但是,大数据也为NSP提供了巨大的机会。实时对大数据的准确分析揭示了网络服务的用户体验,这有助于服务提供商及时采取行动以改善用户QoE。因此,本文概述了高密度无线网络(HDWN)环境中的大数据和QoE。

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