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A survey on cost-effective context-aware distribution of social data streams over energy-efficient data centres

机译:高效数据中心经济高效背景感知社会数据流的分布调查

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摘要

Social media have emerged in the last decade as a viable and ubiquitous means of communication. The ease of user content generation within these platforms, e.g. check-in information, multimedia data, etc., along with the proliferation of Global Positioning System (GPS)-enabled, always-connected capture devices lead to data streams of unprecedented amount and a radical change in information sharing. Social data streams raise a variety of practical challenges, including derivation of real-time meaningful insights from effectively gathered social information, as well as a paradigm shift for content distribution with the leverage of contextual data associated with user preferences, geographical characteristics and devices in general. In this article we present a comprehensive survey that outlines the state-of-the-art situation and organizes challenges concerning social media streams and the infrastructure of the data centres supporting the efficient access to data streams in terms of content distribution, data diffusion, data replication, energy efficiency and network infrastructure. We systematize the existing literature and proceed to identify and analyse the main research points and industrial efforts in the area as far as modelling, simulation and performance evaluation are concerned.
机译:在过去的十年中,社交媒体作为一种可行和无处不在的沟通方式。这些平台内的用户内容生成的易于易于使用的用户内容生成,例如,随着全球定位系统(GPS)的扩散,始终连接的捕获设备以及信息共享中的自由基变化,以及全球定位系统(GPS)的增殖以及始终连接的捕获设备的增殖。社交数据流提高了各种实际挑战,包括从有效地聚集的社交信息的实时有意义的见解,以及用于内容分发的范式转变,利用与用户偏好,地理特征和设备相关联的上下文数据。在本文中,我们展示了一项全面的调查,概述了最先进的情况,并组织了关于社交媒体流的挑战以及支持在内容分发,数据扩散,数据的数据流的有效访问数据流的数据中心的基础设施的挑战复制,能源效率和网络基础设施。我们系统化了现有文献,并继续识别和分析该地区的主要研究点和工业努力,因为模拟,模拟和绩效评估所关注。

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