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首页> 外文期刊>Journal of Cloud Computing: Advances, Systems and Applications >Enabling actionable analytics for mobile devices: performance issues of distributed analytics on Hadoop mobile clusters
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Enabling actionable analytics for mobile devices: performance issues of distributed analytics on Hadoop mobile clusters

机译:启用移动设备的可操作分析:Hadoop Mobile集群的分布式分析性能问题

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摘要

Significant innovations in mobile technologies are enabling mobile users to make real-time actionable decisions based on balancing opportunities and risks to take coordinated actions with other users in their workplace. This requires a new distributed analytic framework that collects relevant information from internal and external sources, performs real-time distributed analytics, and delivers a critical analysis to any user at any place in a given time frame through the use of mobile devices such as smartphones and tablets. This paper discusses the advantages and challenges of utilizing mobile devices for distributed analytics by showing its feasibility with Hadoop analytic framework.
机译:移动技术中的重大创新使移动用户能够基于平衡机会和风险与工作场所中其他用户采取协调的行动来进行实时可操作的决策。这需要一个新的分布式分析框架,从内部和外部源收集相关信息,执行实时分布式分析,并通过使用诸如智能手机等移动设备在给定时间帧中的任何位置对任何一个用户提供关键分析平板电脑。本文探讨了利用流动设备来利用分布式分析的优缺点来展示其与Hadoop分析框架的可行性。

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